Files
claude-skills-reference/c-level-advisor
Alireza Rezvani 5adbfdce47 release: sync dev → main — a11y-audit, /seo-auditor, /plugin-audit, 28 plugins (#380)
* fix: add missing plugin.json files and restore trailing newlines

- Add plugin.json for review-fix-a11y skill
- Add plugin.json for free-llm-api skill
- Restore POSIX-compliant trailing newlines in JSON index files

* feat(engineering): add review-fix-a11y skill (WCAG 2.2 a11y audit + fix) (#375)

Adds review-fix-a11y (WCAG 2.2 a11y audit + fix) and free-llm-api skills.

Includes:
- review-fix-a11y: WCAG 2.2 audit workflow, a11y_audit.py scanner, contrast_checker.py
- free-llm-api: ChatAnywhere, Groq, Cerebras, OpenRouter, llm-mux, One API setup
- secret_scanner.py upgrade with secrets-patterns-db integration (1,600+ patterns)

Co-authored-by: ivanopenclaw223-alt <ivanopenclaw223-alt@users.noreply.github.com>

* chore: sync codex skills symlinks [automated]

* Revert "feat(engineering): add review-fix-a11y skill (WCAG 2.2 a11y audit + fix) (#375)"

This reverts commit 49c9f2109f.

* chore: sync codex skills symlinks [automated]

* Revert "feat(engineering): add review-fix-a11y skill (WCAG 2.2 a11y audit + fix) (#375)"

This reverts commit 49c9f2109f.

* feat(engineering-team): add a11y-audit skill — WCAG 2.2 accessibility audit & fix (#376)

Built from scratch (replaces reverted PR #375 contribution).

Skill package:
- SKILL.md: 1132 lines, 3-phase workflow (scan → fix → verify),
  per-framework fix patterns (React, Next.js, Vue, Angular, Svelte, HTML),
  CI/CD integration guide, 20+ issue type coverage
- scripts/a11y_scanner.py: static scanner detecting 20+ violation types
  across HTML/JSX/TSX/Vue/Svelte/CSS — severity-ranked, CI-friendly exit codes
- scripts/contrast_checker.py: WCAG contrast calculator with AA/AAA checks,
  --suggest mode, --batch CSS scanning, named color support
- references/wcag-quick-ref.md: WCAG 2.2 Level A/AA criteria table
- references/aria-patterns.md: ARIA roles, live regions, keyboard interaction
- references/framework-a11y-patterns.md: React, Vue, Angular, Svelte fix patterns
- assets/sample-component.tsx: sample file with intentional violations
- expected_outputs/: scan report, contrast output, JSON output samples
- /a11y-audit slash command, settings.json, plugin.json, README.md

Validation: 97.6/100 (EXCELLENT), quality 73.9/100 (B-), scripts 2/2 PASS

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: sync codex skills symlinks [automated]

* docs: sync counts across all docs — 205 skills, 268 tools, 19 commands, 22 plugins

Update CLAUDE.md, README.md, docs/index.md, docs/getting-started.md,
mkdocs.yml, marketplace.json with consistent counts. Sync Gemini CLI
index with new skills (code-to-prd, plugin-audit).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(marketplace): add 6 missing standalone plugins — total 22→28

Added to marketplace:
- a11y-audit (WCAG 2.2 accessibility audit)
- executive-mentor (adversarial thinking partner)
- docker-development (Dockerfile, compose, multi-stage)
- helm-chart-builder (Helm chart scaffolding)
- terraform-patterns (IaC module design)
- research-summarizer (structured research synthesis)

Also fixed version 1.0.0 → 2.1.2 on 4 plugin.json files
(executive-mentor, docker-development, helm-chart-builder, research-summarizer)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat(commands): add /seo-auditor — 7-phase SEO audit pipeline for documentation

- 7 phases: discovery → meta tags → content quality → keywords → links → sitemap → report
- Integrates 8 marketing-skill scripts: seo_checker, content_scorer,
  humanizer_scorer, headline_scorer, seo_optimizer, sitemap_analyzer,
  schema_validator, topic_cluster_mapper
- References 6 SEO knowledge bases for audit framework, AI search,
  content optimization, URL design, internal linking, AI detection
- Auto-fixes: generic titles, missing descriptions, broken links, orphan pages
- Preserves high-ranking pages — only fixes critical issues on those
- Registered in both commands/ (distributable) and .claude/commands/ (local)

Also: sync all doc counts — 28 plugins, 26 eng-core skills, 21 commands

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(seo): fix multi-line YAML description parser, add 2 orphan pages to nav

- generate-docs.py: extract_description_from_frontmatter() now handles
  multi-line YAML block scalars (|, >, indented continuation) — fixes
  14 pages that had 56-65 char truncated descriptions
- mkdocs.yml: add epic-design and research-summarizer to nav (orphan pages)
- Regenerated 251 pages, rebuilt sitemap (278 URLs)
- SEO audit: 0 broken links, 17→3 short descriptions, 278/278 pages
  have "Claude Code Skills" in <title>

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Leo <leo@openclaw.ai>
Co-authored-by: ivanopenclaw223-alt <ivanopenclaw223@gmail.com>
Co-authored-by: ivanopenclaw223-alt <ivanopenclaw223-alt@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-18 13:03:48 +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)