* 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>
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
Quick Install (Recommended)
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 positioningfinancial_scenario_analyzer.py- Model financial scenarios and business outcomes
Core Workflows:
- Strategic planning and initiative evaluation
- Financial scenario modeling
- Board and investor communication
- 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 debtteam_scaling_calculator.py- Model engineering team growth and structure
Core Workflows:
- Technical debt assessment and management
- Engineering team scaling and structure
- Technology evaluation and selection
- 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
-
Install CEO Advisor:
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor/ceo-advisor -
Evaluate Strategic Initiative:
python ceo-advisor/scripts/strategy_analyzer.py strategy-doc.md -
Model Financial Scenarios:
python ceo-advisor/scripts/financial_scenario_analyzer.py scenarios.yaml -
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/
- Use frameworks in
For CTOs
-
Install CTO Advisor:
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor/cto-advisor -
Analyze Technical Debt:
python cto-advisor/scripts/tech_debt_analyzer.py /path/to/codebase -
Plan Team Scaling:
python cto-advisor/scripts/team_scaling_calculator.py --current-size 10 --target-size 50 -
Document Architecture Decisions:
- Use ADR templates from
references/architecture_decision_records.md - Apply technology evaluation framework
- Track engineering metrics
- Use ADR templates from
🔄 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
- CLAUDE.md: c-level-advisor/CLAUDE.md - Claude Code specific guidance (if exists)
- Main Documentation: ../CLAUDE.md
- Installation Guide: ../INSTALLATION.md
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)