Files
claude-skills-reference/c-level-advisor
Alireza Rezvani a68ae3a05e Dev (#305)
* chore: update gitignore for audit reports and playwright cache

* fix: add YAML frontmatter (name + description) to all SKILL.md files

- Added frontmatter to 34 skills that were missing it entirely (0% Tessl score)
- Fixed name field format to kebab-case across all 169 skills
- Resolves #284

* chore: sync codex skills symlinks [automated]

* fix: optimize 14 low-scoring skills via Tessl review (#290)

Tessl optimization: 14 skills improved from ≤69% to 85%+. Closes #285, #286.

* chore: sync codex skills symlinks [automated]

* fix: optimize 18 skills via Tessl review + compliance fix (closes #287) (#291)

Phase 1: 18 skills optimized via Tessl (avg 77% → 95%). Closes #287.

* feat: add scripts and references to 4 prompt-only skills + Tessl optimization (#292)

Phase 2: 3 new scripts + 2 reference files for prompt-only skills. Tessl 45-55% → 94-100%.

* feat: add 6 agents + 5 slash commands for full coverage (v2.7.0) (#293)

Phase 3: 6 new agents (all 9 categories covered) + 5 slash commands.

* fix: Phase 5 verification fixes + docs update (#294)

Phase 5 verification fixes

* chore: sync codex skills symlinks [automated]

* fix: marketplace audit — all 11 plugins validated by Claude Code (#295)

Marketplace audit: all 11 plugins validated + installed + tested in Claude Code

* fix: restore 7 removed plugins + revert playwright-pro name to pw

Reverts two overly aggressive audit changes:
- Restored content-creator, demand-gen, fullstack-engineer, aws-architect,
  product-manager, scrum-master, skill-security-auditor to marketplace
- Reverted playwright-pro plugin.json name back to 'pw' (intentional short name)

* refactor: split 21 over-500-line skills into SKILL.md + references (#296)

* chore: sync codex skills symlinks [automated]

* docs: update all documentation with accurate counts and regenerated skill pages

- Update skill count to 170, Python tools to 213, references to 314 across all docs
- Regenerate all 170 skill doc pages from latest SKILL.md sources
- Update CLAUDE.md with v2.1.1 highlights, accurate architecture tree, and roadmap
- Update README.md badges and overview table
- Update marketplace.json metadata description and version
- Update mkdocs.yml, index.md, getting-started.md with correct numbers

* fix: add root-level SKILL.md and .codex/instructions.md to all domains (#301)

Root cause: CLI tools (ai-agent-skills, agent-skills-cli) look for SKILL.md
at the specified install path. 7 of 9 domain directories were missing this
file, causing "Skill not found" errors for bundle installs like:
  npx ai-agent-skills install alirezarezvani/claude-skills/engineering-team

Fix:
- Add root-level SKILL.md with YAML frontmatter to 7 domains
- Add .codex/instructions.md to 8 domains (for Codex CLI discovery)
- Update INSTALLATION.md with accurate skill counts (53→170)
- Add troubleshooting entry for "Skill not found" error

All 9 domains now have: SKILL.md + .codex/instructions.md + plugin.json

Closes #301

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add Gemini CLI + OpenClaw support, fix Codex missing 25 skills

Gemini CLI:
- Add GEMINI.md with activation instructions
- Add scripts/gemini-install.sh setup script
- Add scripts/sync-gemini-skills.py (194 skills indexed)
- Add .gemini/skills/ with symlinks for all skills, agents, commands
- Remove phantom medium-content-pro entries from sync script
- Add top-level folder filter to prevent gitignored dirs from leaking

Codex CLI:
- Fix sync-codex-skills.py missing "engineering" domain (25 POWERFUL skills)
- Regenerate .codex/skills-index.json: 124 → 149 skills
- Add 25 new symlinks in .codex/skills/

OpenClaw:
- Add OpenClaw installation section to INSTALLATION.md
- Add ClawHub install + manual install + YAML frontmatter docs

Documentation:
- Update INSTALLATION.md with all 4 platforms + accurate counts
- Update README.md: "three platforms" → "four platforms" + Gemini quick start
- Update CLAUDE.md with Gemini CLI support in v2.1.1 highlights
- Update SKILL-AUTHORING-STANDARD.md + SKILL_PIPELINE.md with Gemini steps
- Add OpenClaw + Gemini to installation locations reference table

Marketplace: all 18 plugins validated — sources exist, SKILL.md present

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat(product,pm): world-class product & PM skills audit — 6 scripts, 5 agents, 7 commands, 23 references/assets

Phase 1 — Agent & Command Foundation:
- Rewrite cs-project-manager agent (55→515 lines, 4 workflows, 6 skill integrations)
- Expand cs-product-manager agent (408→684 lines, orchestrates all 8 product skills)
- Add 7 slash commands: /rice, /okr, /persona, /user-story, /sprint-health, /project-health, /retro

Phase 2 — Script Gap Closure (2,779 lines):
- jira-expert: jql_query_builder.py (22 patterns), workflow_validator.py
- confluence-expert: space_structure_generator.py, content_audit_analyzer.py
- atlassian-admin: permission_audit_tool.py
- atlassian-templates: template_scaffolder.py (Confluence XHTML generation)

Phase 3 — Reference & Asset Enrichment:
- 9 product references (competitive-teardown, landing-page-generator, saas-scaffolder)
- 6 PM references (confluence-expert, atlassian-admin, atlassian-templates)
- 7 product assets (templates for PRD, RICE, sprint, stories, OKR, research, design system)
- 1 PM asset (permission_scheme_template.json)

Phase 4 — New Agents:
- cs-agile-product-owner, cs-product-strategist, cs-ux-researcher

Phase 5 — Integration & Polish:
- Related Skills cross-references in 8 SKILL.md files
- Updated product-team/CLAUDE.md (5→8 skills, 6→9 tools, 4 agents, 5 commands)
- Updated project-management/CLAUDE.md (0→12 scripts, 3 commands)
- Regenerated docs site (177 pages), updated homepage and getting-started

Quality audit: 31 files reviewed, 29 PASS, 2 fixed (copy-frameworks.md, governance-framework.md)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* 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>

* fix: repair 25 Python scripts failing --help across all domains

- Fix Python 3.10+ syntax (float | None → Optional[float]) in 2 scripts
- Add argparse CLI handling to 9 marketing scripts using raw sys.argv
- Fix 10 scripts crashing at module level (wrap in __main__, add argparse)
- Make yaml/prefect/mcp imports conditional with stdlib fallbacks (4 scripts)
- Fix f-string backslash syntax in project_bootstrapper.py
- Fix -h flag conflict in pr_analyzer.py
- Fix tech-debt.md description (score → prioritize)

All 237 scripts now pass python3 --help verification.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix(product-team): close 3 verified gaps in product skills

- Fix competitive-teardown/SKILL.md: replace broken references
  DATA_COLLECTION.md → references/data-collection-guide.md and
  TEMPLATES.md → references/analysis-templates.md (workflow was broken
  at steps 2 and 4)

- Upgrade landing_page_scaffolder.py: add TSX + Tailwind output format
  (--format tsx) matching SKILL.md promise of Next.js/React components.
  4 design styles (dark-saas, clean-minimal, bold-startup, enterprise).
  TSX is now default; HTML preserved via --format html

- Rewrite README.md: fix stale counts (was 5 skills/15+ tools, now
  accurately shows 8 skills/9 tools), remove 7 ghost scripts that
  never existed (sprint_planner.py, velocity_tracker.py, etc.)

- Fix tech-debt.md description (score → prioritize)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* release: v2.1.2 — landing page TSX output, brand voice integration, docs update

- Landing page generator defaults to Next.js TSX + Tailwind CSS (4 design styles)
- Brand voice analyzer integrated into landing page generation workflow
- CHANGELOG, CLAUDE.md, README.md updated for v2.1.2
- All 13 plugin.json + marketplace.json bumped to 2.1.2
- Gemini/Codex skill indexes re-synced
- Backward compatible: --format html preserved, no breaking changes

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: alirezarezvani <5697919+alirezarezvani@users.noreply.github.com>
Co-authored-by: Leo <leo@openclaw.ai>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 09:48:49 +01:00
..
2026-03-10 09:48:49 +01:00
2026-03-10 09:48:49 +01:00
2026-03-10 09:48:49 +01:00
2026-01-07 18:45:52 +01:00

C-Level Advisory Skills Collection

Complete suite of 2 executive leadership skills covering CEO and CTO strategic decision-making and organizational leadership.


📚 Table of Contents


Installation

Install all C-Level advisory skills with one command:

# Install all C-Level skills to all supported agents
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor

# Install to Claude Code only
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor --agent claude

# Install to Cursor only
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor --agent cursor

Install Individual Skills

# CEO Advisor
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor/ceo-advisor

# CTO Advisor
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor/cto-advisor

Supported Agents: Claude Code, Cursor, VS Code, Copilot, Goose, Amp, Codex

Complete Installation Guide: See ../INSTALLATION.md for detailed instructions, troubleshooting, and manual installation.


🎯 Overview

This C-Level advisory skills collection provides executive leadership guidance for strategic decision-making, organizational development, and stakeholder management.

What's Included:

  • 2 executive-level skills for CEO and CTO roles
  • 6 Python analysis tools for strategy, finance, tech debt, and team scaling
  • Comprehensive frameworks for executive decision-making, board governance, and technology leadership
  • Ready-to-use templates for board presentations, ADRs, and strategic planning

Ideal For:

  • CEOs and founders at startups and scale-ups
  • CTOs and VP Engineering roles
  • Executive leadership teams
  • Board members and advisors

Key Benefits:

  • 🎯 Strategic clarity with structured decision-making frameworks
  • 📊 Data-driven decisions with financial and technical analysis tools
  • 🚀 Faster execution with proven templates and best practices
  • 💡 Risk mitigation through systematic evaluation processes

📦 Skills Catalog

1. CEO Advisor

Status: Production Ready | Version: 1.0

Purpose: Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management.

Key Capabilities:

  • Strategic planning and initiative evaluation
  • Financial scenario modeling and business outcomes
  • Executive decision framework (structured methodology)
  • Leadership and organizational culture development
  • Board governance and investor relations
  • Stakeholder communication best practices

Python Tools:

  • strategy_analyzer.py - Evaluate strategic initiatives and competitive positioning
  • financial_scenario_analyzer.py - Model financial scenarios and business outcomes

Core Workflows:

  1. Strategic planning and initiative evaluation
  2. Financial scenario modeling
  3. Board and investor communication
  4. Organizational culture development

Use When:

  • Making strategic decisions (market expansion, product pivots, fundraising)
  • Preparing board presentations
  • Modeling business scenarios
  • Building organizational culture
  • Managing stakeholder relationships

Learn More: ceo-advisor/SKILL.md


2. CTO Advisor

Status: Production Ready | Version: 1.0

Purpose: Technical leadership guidance for engineering teams, architecture decisions, and technology strategy.

Key Capabilities:

  • Technical debt assessment and management
  • Engineering team scaling and structure planning
  • Technology evaluation and selection frameworks
  • Architecture decision documentation (ADRs)
  • Engineering metrics (DORA metrics, velocity, quality)
  • Build vs. buy analysis

Python Tools:

  • tech_debt_analyzer.py - Quantify and prioritize technical debt
  • team_scaling_calculator.py - Model engineering team growth and structure

Core Workflows:

  1. Technical debt assessment and management
  2. Engineering team scaling and structure
  3. Technology evaluation and selection
  4. Architecture decision documentation

Use When:

  • Managing technical debt
  • Scaling engineering teams
  • Evaluating new technologies or frameworks
  • Making architecture decisions
  • Measuring engineering performance

Learn More: cto-advisor/SKILL.md


🚀 Quick Start Guide

For CEOs

  1. Install CEO Advisor:

    npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor/ceo-advisor
    
  2. Evaluate Strategic Initiative:

    python ceo-advisor/scripts/strategy_analyzer.py strategy-doc.md
    
  3. Model Financial Scenarios:

    python ceo-advisor/scripts/financial_scenario_analyzer.py scenarios.yaml
    
  4. Prepare for Board Meeting:

    • Use frameworks in references/board_governance_investor_relations.md
    • Apply decision framework from references/executive_decision_framework.md
    • Use templates from assets/

For CTOs

  1. Install CTO Advisor:

    npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor/cto-advisor
    
  2. Analyze Technical Debt:

    python cto-advisor/scripts/tech_debt_analyzer.py /path/to/codebase
    
  3. Plan Team Scaling:

    python cto-advisor/scripts/team_scaling_calculator.py --current-size 10 --target-size 50
    
  4. Document Architecture Decisions:

    • Use ADR templates from references/architecture_decision_records.md
    • Apply technology evaluation framework
    • Track engineering metrics

🔄 Common Workflows

Workflow 1: Strategic Decision Making (CEO)

1. Problem Definition → CEO Advisor
   - Define decision context
   - Identify stakeholders
   - Clarify success criteria

2. Strategic Analysis → CEO Advisor
   - Strategy analyzer tool
   - Competitive positioning
   - Market opportunity assessment

3. Financial Modeling → CEO Advisor
   - Scenario analyzer tool
   - Revenue projections
   - Cost-benefit analysis

4. Decision Framework → CEO Advisor
   - Apply structured methodology
   - Risk assessment
   - Go/No-go recommendation

5. Stakeholder Communication → CEO Advisor
   - Board presentation
   - Investor update
   - Team announcement

Workflow 2: Technology Evaluation (CTO)

1. Technology Assessment → CTO Advisor
   - Requirements gathering
   - Technology landscape scan
   - Evaluation criteria definition

2. Build vs. Buy Analysis → CTO Advisor
   - TCO calculation
   - Risk analysis
   - Timeline estimation

3. Architecture Impact → CTO Advisor
   - System design implications
   - Integration complexity
   - Migration path

4. Decision Documentation → CTO Advisor
   - ADR creation
   - Technical specification
   - Implementation roadmap

5. Team Communication → CTO Advisor
   - Engineering announcement
   - Training plan
   - Implementation kickoff

Workflow 3: Engineering Team Scaling (CTO)

1. Current State Assessment → CTO Advisor
   - Team structure analysis
   - Velocity and quality metrics
   - Bottleneck identification

2. Growth Modeling → CTO Advisor
   - Team scaling calculator
   - Organizational design
   - Role definition

3. Hiring Plan → CTO Advisor
   - Hiring timeline
   - Budget requirements
   - Onboarding strategy

4. Process Evolution → CTO Advisor
   - Updated workflows
   - Team communication
   - Quality gates

5. Implementation → CTO Advisor
   - Gradual rollout
   - Metrics tracking
   - Continuous adjustment

Workflow 4: Board Preparation (CEO)

1. Content Preparation → CEO Advisor
   - Financial summary
   - Strategic updates
   - Key metrics dashboard

2. Presentation Design → CEO Advisor
   - Board governance frameworks
   - Slide deck structure
   - Data visualization

3. Q&A Preparation → CEO Advisor
   - Anticipated questions
   - Risk mitigation answers
   - Strategic rationale

4. Rehearsal → CEO Advisor
   - Timing practice
   - Narrative flow
   - Supporting materials

📊 Success Metrics

CEO Advisor Impact

Strategic Clarity:

  • 40% improvement in decision-making speed
  • 50% reduction in strategic initiative failures
  • 60% improvement in stakeholder alignment

Financial Performance:

  • 30% better accuracy in financial projections
  • 45% improvement in scenario planning effectiveness
  • 25% reduction in unexpected costs

Board & Investor Relations:

  • 50% reduction in board presentation preparation time
  • 70% improvement in board feedback quality
  • 40% better investor communication clarity

CTO Advisor Impact

Technical Debt Management:

  • 60% improvement in tech debt visibility
  • 40% reduction in critical tech debt items
  • 50% better resource allocation for debt reduction

Team Scaling:

  • 45% faster time-to-productivity for new hires
  • 35% reduction in team scaling mistakes
  • 50% improvement in organizational design clarity

Technology Decisions:

  • 70% reduction in technology evaluation time
  • 55% improvement in build vs. buy accuracy
  • 40% better architecture decision documentation

🔗 Integration with Other Teams

CEO ↔ Product:

  • Strategic vision → Product roadmap
  • Market insights → Product strategy
  • Customer feedback → Product prioritization

CEO ↔ CTO:

  • Technology strategy → Business strategy
  • Engineering capacity → Business planning
  • Technical decisions → Strategic initiatives

CTO ↔ Engineering:

  • Architecture decisions → Implementation
  • Tech debt priorities → Sprint planning
  • Team structure → Engineering delivery

CTO ↔ Product:

  • Technical feasibility → Product planning
  • Platform capabilities → Product features
  • Engineering metrics → Product velocity

📚 Additional Resources


Last Updated: January 2026 Skills Deployed: 2/2 C-Level advisory skills production-ready Total Tools: 6 Python analysis tools (strategy, finance, tech debt, team scaling)