Claude Skills

Gemini CLI delegation workflow implementing delegation-core for Google's Gemini models.

Qwen CLI delegation workflow implementing delegation-core for Alibaba's Qwen models.

Systematic methodology to reduce skill file size through externalization, consolidation, and progressive loading patterns. Triggers: large skill, skill optimization, skill size, 300 lines, inline code, skill refactoring, skill context reduction, skill modularization Use when: skills exceed 300 lines, multiple code blocks (10+) with similar functionality, heavy Python inline with markdown, functions >20 lines embedded DO NOT use when: skill is under 300 lines and well-organized. DO NOT use when: creating new skills - use modular-skills instead. Consult this skill when skills-eval shows "Large skill file" warnings.

Systematic task execution with checkpoint validation, progress tracking, and quality gates

Transform project brief into detailed, testable specifications using spec-driven development methodology

Multi-LLM deliberation framework for strategic decisions through pressure-based expert consultation

Triggers: workflow error, inefficient execution, workflow failure, execution monitor Monitor workflow executions for errors and inefficiencies. When issues are detected, automatically create GitHub issues for workflow improvements via /fix-workflow. Use when: workflows fail, timeout, or show inefficient patterns DO NOT use when: normal workflow execution, simple command errors

Capture and retrieve PR review knowledge in project memory palaces

Research Hex packages (Sobelow, Phoenix, Ecto, Credo, Ash, etc). Use when investigating packages, understanding integration patterns, or finding module/function docs and usage examples. Automatically fetches missing documentation and source code locally.

Search for package-specific usage rules and best practices from Elixir packages. Use when you need coding conventions, patterns, common mistakes, or good/bad examples for packages like Ash, Phoenix, Ecto, etc.

Search for package-specific usage rules and best practices from Elixir packages. Use when you need coding conventions, patterns, common mistakes, or good/bad examples for packages like Ash, Phoenix, Ecto, etc.

Research Hex packages (Sobelow, Phoenix, Ecto, Credo, Ash, etc). Use when investigating packages, understanding integration patterns, or finding module/function docs and usage examples. Automatically fetches missing documentation and source code locally.

Detect and flag AI-generated content markers in documentation and prose. Triggers: ai slop, ai-generated, llm markers, chatgpt phrases, claude tells, slop detection, ai cleanup, humanize text, remove ai markers, detect chatgpt, detect llm, writing quality, ai tells. Use when reviewing documentation for AI markers, cleaning up LLM-generated content, or auditing prose quality. Do not use when generating new content (use doc-generator) or learning writing styles (use style-learner).

Delegate tasks to external LLM services (Gemini, Qwen) with quota, logging, and error handling.

Triggers: safety, critical, NASA, power of 10, defensive coding, assertions, bounds checking Guidelines from NASA's Power of 10 rules for writing robust, verifiable code. Adapted for general software development with context-appropriate rigor. Use when: Writing critical code paths, reviewing for robustness, improving code quality DO NOT use: As rigid requirements for all code - match rigor to consequence

Triggers: refine, code quality, clean code, refactor, duplication, algorithm efficiency, complexity reduction, code smell, anti-slop, craft Analyze and improve living code quality: duplication, algorithmic efficiency, clean code principles, architectural fit, anti-slop patterns, and error handling robustness. Use when: improving code quality, reducing AI slop, refactoring for clarity, optimizing algorithms, applying clean code principles DO NOT use when: removing dead/unused code (use conserve:bloat-detector). DO NOT use when: reviewing for bugs (use pensive:bug-review). DO NOT use when: selecting architecture paradigms (use archetypes skills). This skill actively improves living code, complementing bloat detection (dead code removal) with quality refinement (living code improvement).

Triggers: source, cite, reference, factual claim, verify, attribution Intelligent sourcing that requires citations only for high-value factual claims, balancing accuracy with token efficiency.

Interactive selector and router for architecture paradigms. Triggers: architecture selection, pattern comparison, system design, ADR creation, architecture decision, paradigm evaluation, new system architecture, architecture planning, which architecture, compare architectures Use when: selecting architecture patterns for new systems, comparing paradigm trade-offs, creating architecture decision records, evaluating architecture fit for team size and domain complexity, planning implementation roadmaps DO NOT use when: implementing a specific known paradigm - use the specific architecture-paradigm-* skill (hexagonal, layered, microservices, etc.) instead. DO NOT use when: reviewing existing architecture - use architecture-review instead. Use this skill BEFORE making architecture decisions. Check even if unsure about needs.

Configure GitHub Actions workflows for CI/CD (test, lint, typecheck, publish)

Inline reversibility assessment for embedded War Room escalation from other commands

Socratic questioning and ideation methodology for project conception using structured brainstorming frameworks

Evaluate and improve Claude skill quality through auditing. Triggers: quality-assurance, skills, optimization, tool-use, performance-metrics, skill audit, quality review, compliance check, improvement suggestions, token usage analysis, skill evaluation, skill assessment, skill optimization, skill standards, skill metrics, skill performance. Use when reviewing skill quality, preparing skills for production, or auditing existing skills. Do not use when creating new skills (use modular-skills) or writing prose (use writing-clearly-and-concisely). Use this skill before shipping any skill to production.

Architect skills as modular blocks to control token usage and complexity. Triggers: skills, architecture, modular, design-patterns, modularity, skill design, skill architecture, modularization, token optimization, skill structure, refactoring skills, new skill creation, skill complexity. Use when creating skills >150 lines, breaking down monolithic skills, or planning new architecture. Do not use for evaluating existing skills (use skills-eval) or writing human-facing prose (use writing-clearly-and-concisely). Check this skill before starting any new skill development.

Diagnoses and fixes CI/CD pipeline failures. Use when user mentions CI failures, build errors, test failures, or pipeline issues. Do NOT load for: local builds, standard implementation work, reviews, or setup.