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

- 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>
2026-03-10 01:17:31 +01:00
parent 67f3922e4f
commit 670a1a61f3
20 changed files with 227 additions and 180 deletions
--- a/agents/business-growth/cs-growth-strategist.md
+++ b/agents/business-growth/cs-growth-strategist.md
@@ -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
--- a/agents/c-level/cs-ceo-advisor.md
+++ b/agents/c-level/cs-ceo-advisor.md
@@ -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

--- a/agents/engineering-team/cs-engineering-lead.md
+++ b/agents/engineering-team/cs-engineering-lead.md
@@ -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
--- a/agents/engineering/cs-senior-engineer.md
+++ b/agents/engineering/cs-senior-engineer.md
@@ -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
--- a/agents/finance/cs-financial-analyst.md
+++ b/agents/finance/cs-financial-analyst.md
@@ -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
--- a/agents/marketing/cs-content-creator.md
+++ b/agents/marketing/cs-content-creator.md
@@ -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

--- a/agents/marketing/cs-demand-gen-specialist.md
+++ b/agents/marketing/cs-demand-gen-specialist.md
@@ -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

--- a/agents/ra-qm-team/cs-quality-regulatory.md
+++ b/agents/ra-qm-team/cs-quality-regulatory.md
@@ -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