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fix: audit and repair all plugins, agents, and commands

Browse Source 
- Fix 12 command files: correct CLI arg syntax, script paths, and usage docs
- Fix 3 agents with broken script/reference paths (cs-content-creator,
  cs-demand-gen-specialist, cs-financial-analyst)
- Add complete YAML frontmatter to 5 agents (cs-growth-strategist,
  cs-engineering-lead, cs-senior-engineer, cs-financial-analyst,
  cs-quality-regulatory)
- Fix cs-ceo-advisor related agent path
- Update marketplace.json metadata counts (224 tools, 341 refs, 14 agents,
  12 commands)

Verified: all 19 scripts pass --help, all 14 agent paths resolve, mkdocs
builds clean.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Reza Rezvani
2026-03-10 01:17:31 +01:00
parent 67f3922e4f
commit 670a1a61f3
20 changed files with 227 additions and 180 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
.claude-plugin/marketplace.json
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@@ -4,18 +4,18 @@
"name": "Alireza Rezvani",
"url": "https://alirezarezvani.com"
},
"description": "149 production-ready skill packages for Claude AI across 9 domains: marketing (42), engineering (23+25), C-level advisory (28), regulatory/QMS (12), product (8), project management (6), business growth (4), and finance (1). Includes 213 Python tools, 314 reference documents, 9 agents, and 5 slash commands.",
"description": "149 production-ready skill packages for Claude AI across 9 domains: marketing (42), engineering (23+25), C-level advisory (28), regulatory/QMS (12), product (8), project management (6), business growth (4), and finance (1). Includes 224 Python tools, 341 reference documents, 14 agents, and 12 slash commands.",
"homepage": "https://github.com/alirezarezvani/claude-skills",
"repository": "https://github.com/alirezarezvani/claude-skills",
"metadata": {
"description": "149 production-ready skill packages across 9 domains with 213 Python tools, 314 reference documents, 9 agents, and 5 slash commands. Compatible with Claude Code, Codex CLI, Gemini CLI, and OpenClaw.",
"description": "149 production-ready skill packages across 9 domains with 224 Python tools, 341 reference documents, 14 agents, and 12 slash commands. Compatible with Claude Code, Codex CLI, Gemini CLI, and OpenClaw.",
"version": "2.1.1"
},
"plugins": [
{
"name": "marketing-skills",
"source": "./marketing-skill",
"description": "42 marketing skills across 7 pods: Content, SEO, CRO, Channels, Growth, Intelligence, and Sales enablement. 27 Python tools, 60 reference docs.",
"description": "42 marketing skills across 7 pods: Content, SEO, CRO, Channels, Growth, Intelligence, and Sales enablement. 46 Python tools, 72 reference docs.",
"version": "2.1.1",
"author": {
"name": "Alireza Rezvani"
@@ -122,7 +122,7 @@
{
"name": "product-skills",
"source": "./product-team",
"description": "8 product skills: product manager toolkit (RICE, PRDs), agile product owner, product strategist, UX researcher designer, UI design system, competitive teardown, landing page generator, SaaS scaffolder.",
"description": "8 product skills with 9 Python tools: product manager toolkit (RICE, PRDs), agile product owner, product strategist, UX researcher designer, UI design system, competitive teardown, landing page generator, SaaS scaffolder.",
"version": "2.1.1",
"author": {
"name": "Alireza Rezvani"
@@ -142,7 +142,7 @@
{
"name": "pm-skills",
"source": "./project-management",
"description": "6 project management skills: senior PM, scrum master, Jira expert, Confluence expert, Atlassian admin, template creator.",
"description": "6 project management skills with 12 Python tools: senior PM, scrum master, Jira expert, Confluence expert, Atlassian admin, template creator.",
"version": "2.1.1",
"author": {
"name": "Alireza Rezvani"

16
agents/business-growth/cs-growth-strategist.md
View File

@@ -1,6 +1,10 @@
---
name: cs-growth-strategist
description: Growth Strategist agent for revenue operations, sales engineering, customer success, and business development. Orchestrates business-growth skills. Spawn when users need pipeline analysis, churn prevention, expansion scoring, sales demos, or proposal writing.
skills: business-growth
domain: business-growth
model: sonnet
tools: [Read, Write, Bash, Grep, Glob]
---
# cs-growth-strategist
@@ -48,3 +52,15 @@ Growth-focused operator covering the full revenue lifecycle: pipeline management
- Pipeline reports → JSON with visual summary
- Health scores → segment-aware (Enterprise/Mid-Market/SMB)
- Proposals → structured with pricing tables and ROI projections
## Success Metrics
- **Pipeline Coverage:** Maintain 3x+ pipeline-to-quota ratio across segments
- **Churn Rate:** Reduce gross churn by 15%+ quarter-over-quarter
- **Expansion Revenue:** Achieve 120%+ net revenue retention (NRR)
- **Forecast Accuracy:** Weighted forecast within 10% of actual bookings
## Related Agents
- [cs-product-manager](../product/cs-product-manager.md) -- Product roadmap alignment for sales positioning and feature prioritization
- [cs-financial-analyst](../finance/cs-financial-analyst.md) -- Revenue forecasting validation and financial modeling support

2
agents/c-level/cs-ceo-advisor.md
View File

@@ -344,7 +344,7 @@ esac
- [cs-cto-advisor](cs-cto-advisor.md) - Technology strategy and engineering leadership (CTO counterpart)
- [cs-product-manager](../product/cs-product-manager.md) - Product strategy and roadmap execution (planned)
- [cs-growth-strategist](../marketing/cs-growth-strategist.md) - Growth strategy and market expansion (planned)
- [cs-growth-strategist](../business-growth/cs-growth-strategist.md) - Growth strategy and market expansion (planned)
## References

16
agents/engineering-team/cs-engineering-lead.md
View File

@@ -1,6 +1,10 @@
---
name: cs-engineering-lead
description: Engineering Team Lead agent for coordinating QA, security, data engineering, ML, and frontend/backend teams. Orchestrates engineering-team skills for team-level technical decisions. Spawn when users need team coordination, tech stack evaluation, incident response, or cross-functional engineering work.
skills: engineering-team
domain: engineering
model: sonnet
tools: [Read, Write, Bash, Grep, Glob]
---
# cs-engineering-lead
@@ -68,3 +72,15 @@ Engineering team lead coordinating across specializations: frontend, backend, QA
- Incident reports → timeline, RCA, 5-Why, action items with owners
- Evaluations → scoring matrix with weighted dimensions
- Feature plans → RACI matrix with milestone dates
## Success Metrics
- **Incident MTTR:** Mean time to resolve P1/P2 incidents under 2 hours
- **Deployment Frequency:** Ship to production 5+ times per week
- **Cross-Team Delivery:** 90%+ of cross-functional features delivered on schedule
- **Engineering Health:** Test coverage >80%, CI pipeline green rate >95%
## Related Agents
- [cs-senior-engineer](../engineering/cs-senior-engineer.md) -- Architecture decisions, code review, and CI/CD pipeline setup
- [cs-product-manager](../product/cs-product-manager.md) -- Feature prioritization and requirements alignment

16
agents/engineering/cs-senior-engineer.md
View File

@@ -1,6 +1,10 @@
---
name: cs-senior-engineer
description: Senior Engineer agent for architecture decisions, code review, DevOps, and API design. Orchestrates engineering and engineering-team skills for technical implementation work. Spawn when users need system design, code quality review, CI/CD pipeline setup, or infrastructure decisions.
skills: engineering
domain: engineering
model: sonnet
tools: [Read, Write, Bash, Grep, Glob]
---
# cs-senior-engineer
@@ -71,6 +75,14 @@ Cross-cutting senior engineer covering architecture, backend, DevOps, security,
- Pipeline configs → validated YAML with comments
- All recommendations include tradeoff analysis
## Success Metrics
- **Code Review Turnaround:** PR reviews completed within 4 hours during business hours
- **Architecture Decision Quality:** ADRs reviewed and approved with no major reversals within 6 months
- **Pipeline Reliability:** CI/CD pipeline success rate >95%, deploy rollback rate <2%
- **Technical Debt Ratio:** Maintain tech debt backlog below 15% of total sprint capacity
## Related Agents
- `cs-cto-advisor` — Strategic technology decisions
- `cs-product-manager` — Feature prioritization context
- [cs-engineering-lead](../engineering-team/cs-engineering-lead.md) -- Team coordination, incident response, and cross-functional delivery
- [cs-product-manager](../product/cs-product-manager.md) -- Feature prioritization and requirements context

26
agents/finance/cs-financial-analyst.md
View File

@@ -1,6 +1,10 @@
---
name: cs-financial-analyst
description: Financial Analyst agent for DCF valuation, financial modeling, budgeting, and forecasting. Orchestrates finance skills. Spawn when users need financial statements analysis, valuation models, budget planning, ratio analysis, or industry benchmarking.
skills: finance
domain: finance
model: sonnet
tools: [Read, Write, Bash, Grep, Glob]
---
# cs-financial-analyst
@@ -12,20 +16,20 @@ Financial analyst covering valuation, ratio analysis, forecasting, and industry-
## Skill Integration
- `finance/financial-analyst` — DCF modeling, ratio analysis, forecasting, scenario planning
- Scripts: `dcf_calculator.py`, `ratio_analyzer.py`, `forecast_generator.py`, `scenario_modeler.py`
- Scripts: `dcf_valuation.py`, `ratio_calculator.py`, `forecast_builder.py`, `budget_variance_analyzer.py`
- References: `financial-ratios-guide.md`, `valuation-methodology.md`, `forecasting-best-practices.md`, `industry-adaptations.md`
## Core Workflows
### 1. Company Valuation
1. Gather financial data (revenue, costs, growth rate, WACC)
2. Run DCF model via `dcf_calculator.py`
2. Run DCF model via `dcf_valuation.py`
3. Calculate comparables (EV/EBITDA, P/E, EV/Revenue)
4. Adjust for industry via `industry-adaptations.md`
5. Present valuation range with sensitivity analysis
### 2. Financial Health Assessment
1. Run ratio analysis via `ratio_analyzer.py`
1. Run ratio analysis via `ratio_calculator.py`
2. Assess liquidity (current, quick ratio)
3. Assess profitability (gross margin, EBITDA margin, ROE)
4. Assess leverage (debt/equity, interest coverage)
@@ -33,8 +37,8 @@ Financial analyst covering valuation, ratio analysis, forecasting, and industry-
### 3. Revenue Forecasting
1. Analyze historical trends
2. Generate forecast via `forecast_generator.py`
3. Run scenarios (bull/base/bear) via `scenario_modeler.py`
2. Generate forecast via `forecast_builder.py`
3. Run scenarios (bull/base/bear) via `budget_variance_analyzer.py`
4. Calculate confidence intervals
5. Present with assumptions clearly stated
@@ -50,3 +54,15 @@ Financial analyst covering valuation, ratio analysis, forecasting, and industry-
- Ratios → benchmarked against industry with trend arrows
- Forecasts → 3 scenarios with probability weights
- All models include key assumptions section
## Success Metrics
- **Forecast Accuracy:** Revenue forecasts within 5% of actuals over trailing 4 quarters
- **Valuation Precision:** DCF valuations within 15% of market transaction comparables
- **Budget Variance:** Departmental budgets maintained within 10% of plan
- **Analysis Turnaround:** Financial models delivered within 48 hours of data receipt
## Related Agents
- [cs-ceo-advisor](../c-level/cs-ceo-advisor.md) -- Strategic financial decisions, board reporting, and fundraising planning
- [cs-growth-strategist](../business-growth/cs-growth-strategist.md) -- Revenue operations data and pipeline forecasting inputs

138
agents/marketing/cs-content-creator.md
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@@ -23,19 +23,7 @@ The cs-content-creator agent bridges the gap between creative content production
### Python Tools
1. **Brand Voice Analyzer**
- **Purpose:** Analyzes text for formality, tone, perspective, and readability to ensure brand consistency
- **Path:** `../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py`
- **Usage:** `python ../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py content.txt`
- **Output Formats:** Human-readable report or JSON for integrations
- **Use Cases:** Pre-publish content review, brand audit, voice consistency checking
2. **SEO Optimizer**
- **Purpose:** Comprehensive SEO analysis with keyword density, structure evaluation, and actionable recommendations
- **Path:** `../../marketing-skill/content-creator/scripts/seo_optimizer.py`
- **Usage:** `python ../../marketing-skill/content-creator/scripts/seo_optimizer.py article.md "primary keyword" "secondary,keywords"`
- **Features:** Keyword analysis, content structure, meta tags, SEO score (0-100), improvement recommendations
- **Use Cases:** Blog post optimization, landing page SEO, content audit
No Python tools — this skill relies on SKILL.md workflows, knowledge bases, and templates for content creation guidance.
### Knowledge Bases
@@ -54,20 +42,17 @@ The cs-content-creator agent bridges the gap between creative content production
- **Content:** Platform-specific best practices for LinkedIn (1,300 chars, professional tone), Twitter/X (280 chars, concise), Instagram (visual-first, caption strategy), Facebook (engagement tactics), TikTok (short-form video)
- **Use Case:** Platform optimization, social media strategy, content adaptation
4. **Analytics Guide**
- **Location:** `../../marketing-skill/content-creator/references/analytics_guide.md`
- **Content:** Content performance analytics and measurement frameworks
- **Use Case:** Content performance tracking, reporting, data-driven optimization
### Templates
1. **Content Calendar Template**
- **Location:** `../../marketing-skill/content-creator/assets/content-calendar.md`
- **Location:** `../../marketing-skill/content-creator/assets/content_calendar_template.md`
- **Use Case:** Planning monthly content, tracking production pipeline
2. **SEO Checklist**
- **Location:** `../../marketing-skill/content-creator/assets/seo-checklist.md`
- **Use Case:** Pre-publish validation, SEO audit
3. **Content Brief Template**
- **Location:** `../../marketing-skill/content-creator/assets/content-brief.md`
- **Use Case:** Writer briefing, stakeholder alignment
## Workflows
### Workflow 1: Blog Post Creation & Optimization
@@ -76,28 +61,27 @@ The cs-content-creator agent bridges the gap between creative content production
**Steps:**
1. **Draft Content** - Write initial blog post draft in markdown format
2. **Analyze Brand Voice** - Run brand voice analyzer to check tone and readability
2. **Reference Brand Guidelines** - Review brand voice requirements for tone and readability
```bash
python ../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py draft-post.md
cat ../../marketing-skill/content-creator/references/brand_guidelines.md
```
3. **Review Feedback** - Adjust content based on formality score, tone, and readability metrics
4. **Optimize for SEO** - Run SEO optimizer with target keywords
3. **Review Content Frameworks** - Select appropriate blog post template (how-to, listicle, case study)
```bash
python ../../marketing-skill/content-creator/scripts/seo_optimizer.py draft-post.md "target keyword" "secondary,keywords,here"
cat ../../marketing-skill/content-creator/references/content_frameworks.md
```
4. **Optimize for SEO** - Apply SEO best practices from SKILL.md workflows (keyword placement, structure, meta description)
5. **Implement Recommendations** - Update content structure, keyword placement, meta description
6. **Final Validation** - Re-run both analyzers to verify improvements
6. **Final Validation** - Review against brand guidelines and content frameworks
**Expected Output:** SEO score 80+ with consistent brand voice alignment
**Expected Output:** SEO-optimized blog post with consistent brand voice alignment
**Time Estimate:** 2-3 hours for 1,500-word blog post
**Example:**
```bash
# Complete workflow
echo "# Blog Post Draft" > post.md
python ../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py post.md
python ../../marketing-skill/content-creator/scripts/seo_optimizer.py post.md "content marketing" "SEO,strategy"
# Review guidelines before writing
cat ../../marketing-skill/content-creator/references/brand_guidelines.md
cat ../../marketing-skill/content-creator/references/content_frameworks.md
```
### Workflow 2: Multi-Platform Content Adaptation
@@ -113,10 +97,9 @@ python ../../marketing-skill/content-creator/scripts/seo_optimizer.py post.md "c
3. **Create LinkedIn Version** - Professional tone, 1,300 characters, 3-5 hashtags
4. **Create Twitter/X Thread** - Break into 280-char tweets, engaging hook
5. **Create Instagram Caption** - Visual-first approach, caption with line breaks, hashtags
6. **Validate Brand Voice** - Ensure consistency across all versions
6. **Validate Brand Voice** - Ensure consistency across all versions by reviewing against brand guidelines
```bash
python ../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py linkedin-post.txt
python ../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py twitter-thread.txt
cat ../../marketing-skill/content-creator/references/brand_guidelines.md
```
**Expected Output:** 4-5 platform-optimized versions from single source
@@ -129,19 +112,14 @@ python ../../marketing-skill/content-creator/scripts/seo_optimizer.py post.md "c
**Steps:**
1. **Collect Content** - Gather markdown files for all published content
2. **Batch Brand Voice Analysis** - Run analyzer on all content pieces
2. **Brand Voice Review** - Review each content piece against brand guidelines for consistency
```bash
for file in content/*.md; do
echo "Analyzing: $file"
python ../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py "$file" json >> audit-results.json
done
cat ../../marketing-skill/content-creator/references/brand_guidelines.md
```
3. **Identify Inconsistencies** - Review formality scores, tone patterns, readability metrics
4. **SEO Audit** - Run SEO optimizer on key landing pages and blog posts
3. **Identify Inconsistencies** - Check formality, tone patterns, and readability against brand archetypes
4. **SEO Audit** - Review content structure against content frameworks best practices
```bash
for file in landing-pages/*.md; do
python ../../marketing-skill/content-creator/scripts/seo_optimizer.py "$file" "target-keyword"
done
cat ../../marketing-skill/content-creator/references/content_frameworks.md
```
5. **Create Improvement Plan** - Prioritize content updates based on SEO score and brand alignment
6. **Implement Updates** - Revise content following brand guidelines and SEO recommendations
@@ -152,12 +130,9 @@ python ../../marketing-skill/content-creator/scripts/seo_optimizer.py post.md "c
**Example:**
```bash
# Quick audit of top 5 blog posts
ls -t blog/*.md | head -5 | while read file; do
echo "=== $file ==="
python ../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py "$file"
python ../../marketing-skill/content-creator/scripts/seo_optimizer.py "$file" "main-keyword"
done
# Review brand guidelines and frameworks before auditing content
cat ../../marketing-skill/content-creator/references/brand_guidelines.md
cat ../../marketing-skill/content-creator/references/analytics_guide.md
```
### Workflow 4: Campaign Content Planning
@@ -171,7 +146,7 @@ done
```
2. **Copy Content Calendar** - Use template for campaign planning
```bash
cp ../../marketing-skill/content-creator/assets/content-calendar.md campaign-calendar.md
cp ../../marketing-skill/content-creator/assets/content_calendar_template.md campaign-calendar.md
```
3. **Define Brand Voice Target** - Reference brand guidelines for campaign tone
```bash
@@ -179,10 +154,10 @@ done
```
4. **Create Content Briefs** - Use brief template for each content piece
5. **Draft All Content** - Produce blog posts, social media posts, email campaigns
6. **Validate Before Publishing** - Run analyzers on all campaign content
6. **Validate Before Publishing** - Review all campaign content against brand guidelines and social media optimization guides
```bash
python ../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py campaign-email.md
python ../../marketing-skill/content-creator/scripts/seo_optimizer.py campaign-landing-page.md "campaign keyword"
cat ../../marketing-skill/content-creator/references/brand_guidelines.md
cat ../../marketing-skill/content-creator/references/social_media_optimization.md
```
**Expected Output:** Complete campaign content library with consistent brand voice and optimized SEO
@@ -191,52 +166,47 @@ done
## Integration Examples
### Example 1: Real-Time Content Feedback Loop
### Example 1: Content Quality Review Workflow
```bash
#!/bin/bash
# content-feedback.sh - Automated content quality check
# content-review.sh - Content quality review using knowledge bases
CONTENT_FILE=$1
PRIMARY_KEYWORD=$2
echo "🎨 Checking brand voice..."
python ../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py "$CONTENT_FILE"
echo "Reviewing brand voice guidelines..."
cat ../../marketing-skill/content-creator/references/brand_guidelines.md
echo ""
echo "🔍 Checking SEO optimization..."
python ../../marketing-skill/content-creator/scripts/seo_optimizer.py "$CONTENT_FILE" "$PRIMARY_KEYWORD"
echo "Reviewing content frameworks..."
cat ../../marketing-skill/content-creator/references/content_frameworks.md
echo ""
echo "✅ Analysis complete! Review feedback above and revise content."
echo "Review complete. Compare $CONTENT_FILE against the guidelines above."
```
**Usage:** `./content-feedback.sh blog-post.md "target keyword"`
**Usage:** `./content-review.sh blog-post.md`
### Example 2: JSON Output for CMS Integration
### Example 2: Platform-Specific Content Adaptation
```bash
# Generate JSON reports for automated publishing pipeline
python ../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py article.md json > voice-report.json
python ../../marketing-skill/content-creator/scripts/seo_optimizer.py article.md "keyword" --json > seo-report.json
# Review platform guidelines before adapting content
cat ../../marketing-skill/content-creator/references/social_media_optimization.md
# Use in CI/CD pipeline to block publishing if quality thresholds not met
SEO_SCORE=$(jq '.overall_score' seo-report.json)
if [ "$SEO_SCORE" -lt 70 ]; then
echo "❌ SEO score too low: $SEO_SCORE. Minimum required: 70"
exit 1
fi
# Key platform limits to follow:
# - LinkedIn: 1,300 chars, professional tone, 3-5 hashtags
# - Twitter/X: 280 chars per tweet, engaging hook
# - Instagram: Visual-first, caption with line breaks
```
### Example 3: Weekly Content Performance Review
### Example 3: Campaign Content Planning
```bash
# Analyze all content published this week
WEEK_START="2025-11-01"
find blog/ -name "*.md" -newermt "$WEEK_START" | while read file; do
echo "=== Weekly Review: $file ==="
python ../../marketing-skill/content-creator/scripts/brand_voice_analyzer.py "$file"
done
# Set up content calendar from template
cp ../../marketing-skill/content-creator/assets/content_calendar_template.md campaign-calendar.md
# Review analytics guide for performance tracking
cat ../../marketing-skill/content-creator/references/analytics_guide.md
```
## Success Metrics
@@ -259,8 +229,8 @@ done
## Related Agents
- [cs-demand-gen-specialist](cs-demand-gen-specialist.md) - Demand generation and acquisition campaigns
- [cs-product-marketing](../product/cs-product-marketing.md) - Product positioning and messaging (planned)
- [cs-social-media-manager](cs-social-media-manager.md) - Social media management and scheduling (planned)
- cs-product-marketing - Product positioning and messaging (planned)
- cs-social-media-manager - Social media management and scheduling (planned)
## References

73
agents/marketing/cs-demand-gen-specialist.md
View File

@@ -34,30 +34,29 @@ The cs-demand-gen-specialist agent bridges the gap between marketing strategy an
### Knowledge Bases
1. **Acquisition Frameworks**
- **Location:** `../../marketing-skill/marketing-demand-acquisition/references/acquisition_frameworks.md`
- **Content:** Lead generation strategies, conversion optimization frameworks, acquisition funnel templates
- **Use Case:** Campaign planning, strategy development, funnel design
1. **Attribution Guide**
- **Location:** `../../marketing-skill/marketing-demand-acquisition/references/attribution-guide.md`
- **Content:** Marketing attribution models, channel attribution, ROI measurement frameworks
- **Use Case:** Campaign attribution, channel performance analysis, budget justification
2. **Channel Best Practices**
- **Location:** `../../marketing-skill/marketing-demand-acquisition/references/channel_best_practices.md`
- **Content:** Paid search (Google Ads), paid social (LinkedIn, Facebook), content marketing, email campaigns
- **Use Case:** Channel-specific optimization, budget allocation, A/B testing
2. **Campaign Templates**
- **Location:** `../../marketing-skill/marketing-demand-acquisition/references/campaign-templates.md`
- **Content:** Reusable campaign structures, launch checklists, multi-channel campaign blueprints
- **Use Case:** Campaign planning, rapid campaign setup, standardized launch processes
3. **Conversion Optimization**
- **Location:** `../../marketing-skill/marketing-demand-acquisition/references/conversion_optimization.md`
- **Content:** Landing page best practices, CTA optimization, form optimization, lead magnets
- **Use Case:** Conversion rate improvement, landing page design, lead capture optimization
3. **HubSpot Workflows**
- **Location:** `../../marketing-skill/marketing-demand-acquisition/references/hubspot-workflows.md`
- **Content:** HubSpot automation workflows, lead nurturing sequences, CRM integration patterns
- **Use Case:** Marketing automation, lead scoring, nurture campaign setup
4. **International Playbooks**
- **Location:** `../../marketing-skill/marketing-demand-acquisition/references/international-playbooks.md`
- **Content:** International market expansion strategies, localization best practices, regional channel optimization
- **Use Case:** Global campaign planning, market entry strategy, cross-border demand generation
### Templates
1. **Campaign Planning Template**
- **Location:** `../../marketing-skill/marketing-demand-acquisition/assets/campaign-plan.md`
- **Use Case:** Multi-channel campaign planning, goal setting
2. **Funnel Analysis Template**
- **Location:** `../../marketing-skill/marketing-demand-acquisition/assets/funnel-analysis.md`
- **Use Case:** Conversion funnel mapping, bottleneck identification
No asset templates currently available — use campaign-templates.md reference for campaign structure guidance.
## Workflows
@@ -67,21 +66,21 @@ The cs-demand-gen-specialist agent bridges the gap between marketing strategy an
**Steps:**
1. **Define Campaign Goals** - Set targets for leads, MQLs, SQLs, conversion rates
2. **Reference Acquisition Frameworks** - Review proven lead generation strategies
2. **Reference Campaign Templates** - Review proven campaign structures and launch checklists
```bash
cat ../../marketing-skill/marketing-demand-acquisition/references/acquisition_frameworks.md
cat ../../marketing-skill/marketing-demand-acquisition/references/campaign-templates.md
```
3. **Select Channels** - Choose optimal mix based on target audience and budget
3. **Select Channels** - Choose optimal mix based on target audience, budget, and attribution models
```bash
cat ../../marketing-skill/marketing-demand-acquisition/references/channel_best_practices.md
cat ../../marketing-skill/marketing-demand-acquisition/references/attribution-guide.md
```
4. **Create Campaign Plan** - Use template to structure multi-channel approach
4. **Set Up Automation** - Configure HubSpot workflows for lead nurturing
```bash
cp ../../marketing-skill/marketing-demand-acquisition/assets/campaign-plan.md q4-demand-gen-campaign.md
cat ../../marketing-skill/marketing-demand-acquisition/references/hubspot-workflows.md
```
5. **Design Landing Pages** - Reference conversion optimization best practices
5. **Plan International Reach** - Reference international playbooks if targeting multiple markets
```bash
cat ../../marketing-skill/marketing-demand-acquisition/references/conversion_optimization.md
cat ../../marketing-skill/marketing-demand-acquisition/references/international-playbooks.md
```
6. **Launch and Monitor** - Deploy campaigns, track metrics, collect data
@@ -99,18 +98,18 @@ The cs-demand-gen-specialist agent bridges the gap between marketing strategy an
```bash
python ../../marketing-skill/marketing-demand-acquisition/scripts/calculate_cac.py campaign-spend.csv conversions.csv
```
3. **Map Conversion Funnel** - Use template to visualize drop-off points
3. **Map Conversion Funnel** - Visualize drop-off points using campaign templates as structure guide
```bash
cp ../../marketing-skill/marketing-demand-acquisition/assets/funnel-analysis.md current-funnel-analysis.md
cat ../../marketing-skill/marketing-demand-acquisition/references/campaign-templates.md
```
4. **Identify Bottlenecks** - Analyze conversion rates at each funnel stage:
- Awareness → Interest (CTR)
- Interest → Consideration (landing page conversion)
- Consideration → Intent (form completion)
- Intent → Purchase/MQL (qualification rate)
5. **Reference Optimization Guides** - Review best practices for problem areas
5. **Reference Attribution Guide** - Review attribution models to identify problem areas
```bash
cat ../../marketing-skill/marketing-demand-acquisition/references/conversion_optimization.md
cat ../../marketing-skill/marketing-demand-acquisition/references/attribution-guide.md
```
6. **Implement A/B Tests** - Test hypotheses for improvement
7. **Re-calculate CAC Post-Optimization** - Measure cost efficiency improvements
@@ -145,9 +144,9 @@ cat cac-report.txt
```bash
python ../../marketing-skill/marketing-demand-acquisition/scripts/calculate_cac.py channel-spend.csv channel-conversions.csv
```
3. **Reference Channel Best Practices** - Understand benchmarks for each channel
3. **Reference Attribution Guide** - Understand attribution models and benchmarks for each channel
```bash
cat ../../marketing-skill/marketing-demand-acquisition/references/channel_best_practices.md
cat ../../marketing-skill/marketing-demand-acquisition/references/attribution-guide.md
```
4. **Calculate Key Metrics:**
- CAC (Customer Acquisition Cost) by channel
@@ -167,9 +166,9 @@ cat cac-report.txt
**Steps:**
1. **Define Lead Magnet** - Choose format: ebook, webinar, template, assessment, free trial
2. **Reference Conversion Best Practices** - Review lead capture optimization strategies
2. **Reference Campaign Templates** - Review lead capture and campaign structure best practices
```bash
cat ../../marketing-skill/marketing-demand-acquisition/references/conversion_optimization.md
cat ../../marketing-skill/marketing-demand-acquisition/references/campaign-templates.md
```
3. **Create Landing Page** - Design high-converting landing page with:
- Clear value proposition
@@ -273,8 +272,8 @@ fi
## Related Agents
- [cs-content-creator](cs-content-creator.md) - Content creation for demand gen campaigns
- [cs-product-marketing](../product/cs-product-marketing.md) - Product positioning and messaging (planned)
- [cs-growth-marketer](cs-growth-marketer.md) - Growth hacking and viral acquisition (planned)
- cs-product-marketing - Product positioning and messaging (planned)
- cs-growth-marketer - Growth hacking and viral acquisition (planned)
## References

16
agents/ra-qm-team/cs-quality-regulatory.md
View File

@@ -1,6 +1,10 @@
---
name: cs-quality-regulatory
description: Quality & Regulatory agent for ISO 13485 QMS, MDR compliance, FDA submissions, GDPR/DSGVO, and ISMS audits. Orchestrates ra-qm-team skills. Spawn when users need regulatory strategy, audit preparation, CAPA management, risk management, or compliance documentation.
skills: ra-qm-team
domain: ra-qm
model: sonnet
tools: [Read, Write, Bash, Grep, Glob]
---
# cs-quality-regulatory
@@ -68,3 +72,15 @@ Regulatory affairs and quality management specialist for medical device and heal
- Technical files → structured per Annex II/III with cross-references
- CAPAs → ISO 13485 Section 8.5.2/8.5.3 compliant format
- All outputs traceable to regulatory requirements
## Success Metrics
- **Audit Readiness:** Zero critical findings in external audits (ISO 13485, ISO 27001)
- **CAPA Effectiveness:** 95%+ of CAPAs closed within target timeline with verified effectiveness
- **Regulatory Submission Success:** First-time acceptance rate >90% for MDR/FDA submissions
- **Compliance Coverage:** 100% of processing activities documented with valid legal basis (GDPR)
## Related Agents
- [cs-engineering-lead](../engineering-team/cs-engineering-lead.md) -- Engineering process alignment for design controls and software validation
- [cs-product-manager](../product/cs-product-manager.md) -- Product requirements traceability and risk-benefit analysis coordination

14
commands/changelog.md
View File

@@ -10,21 +10,21 @@ Generate Keep a Changelog entries from git history and validate commit message f
## Usage
```
/changelog generate [--from <tag>] [--to HEAD] Generate changelog entries
/changelog lint [--range <from>..<to>] Lint commit messages
/changelog generate [--from-tag <tag>] [--to-tag <tag>] Generate changelog entries
/changelog lint [--from-ref <ref>] [--to-ref <ref>] Lint commit messages
```
## Examples
```
/changelog generate --from v2.0.0
/changelog lint --range main..dev
/changelog generate --from v2.0.0 --to v2.1.0 --format markdown
/changelog generate --from-tag v2.0.0
/changelog lint --from-ref main --to-ref dev
/changelog generate --from-tag v2.0.0 --to-tag v2.1.0 --format markdown
```
## Scripts
- `engineering/changelog-generator/scripts/generate_changelog.py` — Parse commits, render changelog
- `engineering/changelog-generator/scripts/commit_linter.py` — Validate conventional commit format
- `engineering/changelog-generator/scripts/generate_changelog.py` — Parse commits, render changelog (`--from-tag`, `--to-tag`, `--from-ref`, `--to-ref`, `--format markdown|json`)
- `engineering/changelog-generator/scripts/commit_linter.py` — Validate conventional commit format (`--from-ref`, `--to-ref`, `--strict`, `--format text|json`)
## Skill Reference
→ `engineering/changelog-generator/SKILL.md`

7
commands/okr.md
View File

@@ -13,7 +13,7 @@ Generate cascaded OKR frameworks from company-level strategy down to team-level
/okr generate <strategy> Generate OKR cascade
```
Supported strategies: `growth`, `retention`, `revenue`, `innovation`
Supported strategies: `growth`, `retention`, `revenue`, `innovation`, `operational`
## Input Format
@@ -26,11 +26,12 @@ Pass a strategy keyword directly. The generator produces company, department, an
/okr generate retention
/okr generate revenue
/okr generate innovation
/okr generate growth --format json --output okrs.json
/okr generate operational
/okr generate growth --json
```
## Scripts
- `product-team/product-strategist/scripts/okr_cascade_generator.py` — OKR cascade generator
- `product-team/product-strategist/scripts/okr_cascade_generator.py` — OKR cascade generator (`<strategy> [--teams "A,B,C"] [--contribution 0.3] [--json]`)
## Skill Reference
> `product-team/product-strategist/SKILL.md`

8
commands/persona.md
View File

@@ -11,7 +11,7 @@ Generate structured user personas with demographics, goals, pain points, and beh
```
/persona generate Generate persona (interactive)
/persona generate --output json Generate persona as JSON
/persona generate json Generate persona as JSON
```
## Input Format
@@ -29,12 +29,12 @@ Interactive mode prompts for product context. Alternatively, provide context inl
```
/persona generate
/persona generate --output json
/persona generate --output json > persona-eng-manager.json
/persona generate json
/persona generate json > persona-eng-manager.json
```
## Scripts
- `product-team/ux-researcher-designer/scripts/persona_generator.py` — Persona generator
- `product-team/ux-researcher-designer/scripts/persona_generator.py` — Persona generator (positional `json` arg for JSON output)
## Skill Reference
> `product-team/ux-researcher-designer/SKILL.md`

14
commands/pipeline.md
View File

@@ -10,21 +10,21 @@ Detect project stack and generate CI/CD pipeline configurations for GitHub Actio
## Usage
```
/pipeline detect [<project-dir>] Detect stack, tools, and services
/pipeline generate [--platform github|gitlab] Generate pipeline YAML
/pipeline detect [--repo <project-dir>] Detect stack, tools, and services
/pipeline generate --platform github|gitlab [--repo <project-dir>] Generate pipeline YAML
```
## Examples
```
/pipeline detect ./my-project
/pipeline generate --platform github
/pipeline generate --platform gitlab --stages build,test,deploy
/pipeline detect --repo ./my-project
/pipeline generate --platform github --repo .
/pipeline generate --platform gitlab --repo .
```
## Scripts
- `engineering/ci-cd-pipeline-builder/scripts/stack_detector.py` — Detect stack and tooling
- `engineering/ci-cd-pipeline-builder/scripts/pipeline_generator.py` — Generate pipeline YAML
- `engineering/ci-cd-pipeline-builder/scripts/stack_detector.py` — Detect stack and tooling (`--repo <path>`, `--format text|json`)
- `engineering/ci-cd-pipeline-builder/scripts/pipeline_generator.py` — Generate pipeline YAML (`--platform github|gitlab`, `--repo <path>`, `--input <stack.json>`, `--output <file>`)
## Skill Reference
→ `engineering/ci-cd-pipeline-builder/SKILL.md`

6
commands/project-health.md
View File

@@ -32,12 +32,12 @@ Generate portfolio health dashboards and risk matrices for project oversight.
```
/project-health dashboard portfolio-q2.json
/project-health risk risk-register.json
/project-health dashboard portfolio-q2.json --format json --output dashboard.json
/project-health dashboard portfolio-q2.json --format json
```
## Scripts
- `project-management/senior-pm/scripts/project_health_dashboard.py` — Health dashboard
- `project-management/senior-pm/scripts/risk_matrix_analyzer.py` — Risk matrix analyzer
- `project-management/senior-pm/scripts/project_health_dashboard.py` — Health dashboard (`<data_file> [--format text|json]`)
- `project-management/senior-pm/scripts/risk_matrix_analyzer.py` — Risk matrix analyzer (`<data_file> [--format text|json]`)
## Skill Reference
> `project-management/senior-pm/SKILL.md`

4
commands/retro.md
View File

@@ -32,11 +32,11 @@ Analyze retrospective data for recurring themes, sentiment trends, and action it
```
/retro analyze sprint-24-retro.json
/retro analyze sprint-24-retro.json --format json --output retro-report.json
/retro analyze sprint-24-retro.json --format json
```
## Scripts
- `project-management/scrum-master/scripts/retrospective_analyzer.py` — Retrospective analyzer
- `project-management/scrum-master/scripts/retrospective_analyzer.py` — Retrospective analyzer (`<data_file> [--format text|json]`)
## Skill Reference
> `project-management/scrum-master/SKILL.md`

4
commands/rice.md
View File

@@ -29,11 +29,11 @@ Mobile app,20000,3,0.5,13
```
/rice prioritize features.csv
/rice prioritize features.csv --capacity 20
/rice prioritize features.csv --format json --output prioritized.json
/rice prioritize features.csv --output json
```
## Scripts
- `product-team/product-manager-toolkit/scripts/rice_prioritizer.py` — RICE prioritizer
- `product-team/product-manager-toolkit/scripts/rice_prioritizer.py` — RICE prioritizer (`<input.csv> [--capacity N] [--output text|json|csv]`)
## Skill Reference
> `product-team/product-manager-toolkit/SKILL.md`

6
commands/sprint-health.md
View File

@@ -32,12 +32,12 @@ Score sprint health across delivery, quality, and team metrics with velocity tre
```
/sprint-health analyze sprint-24.json
/sprint-health velocity last-6-sprints.json
/sprint-health analyze sprint-24.json --format json --output report.json
/sprint-health analyze sprint-24.json --format json
```
## Scripts
- `project-management/scrum-master/scripts/sprint_health_scorer.py` — Sprint health scorer
- `project-management/scrum-master/scripts/velocity_analyzer.py` — Velocity analyzer
- `project-management/scrum-master/scripts/sprint_health_scorer.py` — Sprint health scorer (`<data_file> [--format text|json]`)
- `project-management/scrum-master/scripts/velocity_analyzer.py` — Velocity analyzer (`<data_file> [--format text|json]`)
## Skill Reference
> `project-management/scrum-master/SKILL.md`

10
commands/tdd.md
View File

@@ -24,9 +24,13 @@ Generate tests, analyze coverage, and validate test quality using the TDD Guide
```
## Scripts
- `engineering-team/tdd-guide/scripts/test_generator.py` — Generate test cases
- `engineering-team/tdd-guide/scripts/coverage_analyzer.py` — Coverage analysis
- `engineering-team/tdd-guide/scripts/test_quality_checker.py` — Quality validation
- `engineering-team/tdd-guide/scripts/test_generator.py` — Test case generation (library module)
- `engineering-team/tdd-guide/scripts/coverage_analyzer.py` — Coverage analysis (library module)
- `engineering-team/tdd-guide/scripts/tdd_workflow.py` — TDD workflow orchestration (library module)
- `engineering-team/tdd-guide/scripts/fixture_generator.py` — Test fixture generation (library module)
- `engineering-team/tdd-guide/scripts/metrics_calculator.py` — TDD metrics calculation (library module)
> **Note:** These scripts are library modules without CLI entry points. Import them in Python or use via the SKILL.md workflow guidance.
## Skill Reference
→ `engineering-team/tdd-guide/SKILL.md`

16
commands/tech-debt.md
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@@ -11,24 +11,22 @@ Scan codebases for technical debt, score severity, and generate prioritized reme
```
/tech-debt scan <project-dir> Scan for debt indicators
/tech-debt score <project-dir> Calculate debt score (0-100)
/tech-debt report <project-dir> Full report with remediation plan
/tech-debt prioritize <inventory.json> Prioritize debt backlog
/tech-debt report <project-dir> Full dashboard with trends
```
## Examples
```
/tech-debt scan ./src
/tech-debt score . --format json
/tech-debt report . --output debt-report.md
/tech-debt scan . --format json
/tech-debt report . --format json --output debt-report.json
```
## Scripts
- `engineering/tech-debt-tracker/scripts/debt_scanner.py` — Detect debt patterns
- `engineering/tech-debt-tracker/scripts/debt_scorer.py` — Calculate severity scores
- `engineering/tech-debt-tracker/scripts/remediation_planner.py` — Generate fix plans
- `engineering/tech-debt-tracker/scripts/trend_tracker.py` — Track debt over time
- `engineering/tech-debt-tracker/scripts/cost_estimator.py` — Estimate remediation cost
- `engineering/tech-debt-tracker/scripts/debt_scanner.py` — Scan for debt patterns (`debt_scanner.py <directory> [--format json] [--output file]`)
- `engineering/tech-debt-tracker/scripts/debt_prioritizer.py` — Prioritize debt backlog (`debt_prioritizer.py <inventory.json> [--framework cost_of_delay|wsjf|rice] [--format json]`)
- `engineering/tech-debt-tracker/scripts/debt_dashboard.py` — Generate debt dashboard (`debt_dashboard.py [files...] [--input-dir dir] [--period weekly|monthly|quarterly] [--format json]`)
## Skill Reference
→ `engineering/tech-debt-tracker/SKILL.md`

5
commands/user-story.md
View File

@@ -32,13 +32,12 @@ Interactive mode prompts for feature context. For sprint planning, provide capac
```
/user-story generate
/user-story generate --output json
/user-story sprint 34
/user-story sprint 21 --format json --output sprint-plan.json
/user-story sprint 21
```
## Scripts
- `product-team/agile-product-owner/scripts/user_story_generator.py` — User story generator
- `product-team/agile-product-owner/scripts/user_story_generator.py` — User story generator (positional args: `sprint <capacity>`)
## Skill Reference
> `product-team/agile-product-owner/SKILL.md`