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Found 9 Skills
Lifecycle manager for GitHub-based skills. Use this to batch scan your skills directory, check for updates on GitHub, and perform guided upgrades of your skill wrappers.
Provides unified configuration and log storage services for other skills, supporting data sharing and collaboration between skills
Detect project tech stack and disable irrelevant skills to save context window space. Use when the user says "manage skills", "optimize skills", "disable irrelevant skills", "skill manager", or asks which skills are relevant for this project.
Central skill registry and management system. Auto-loaded on every session. Auto-loaded on startup to provide skill discovery and invocation capabilities. Commands: - /skills - List all available skills with descriptions - /skill <name> - Load and activate a specific skill - /skill reload - Refresh skill registry - /skill help <name> - Show detailed help for a skill Capabilities: Auto-discovery of all skills in workspace, unified skill invocation via /skill command, skill registry with metadata and descriptions, version tracking and dependency management.
Manage installation, version tracking, and update checks for Claude Code, Codex, and OpenClaw Skills. Supports installation from local paths or GitHub repositories, automatically identifies .codex/.claude/.openclaw target directories, records installation time, source URL, and version number for each Skill, and checks for GitHub updates.
Analyze and clean up duplicate skills across vibe coding tools. Use when user asks to analyze skills, find duplicates, or clean up their skill collection.
Use when users say "create a skill", "make a new skill", "build a skill", "skill for X", "package this as a skill", or when refactoring/updating/auditing existing skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations.
Guides CI/CD for agent skills repositories and skill packages—pipeline design (build, test, validate, package), GitHub Actions for PR checks and release promotion, environment gates, secrets hygiene (no secrets in repo), skill-creator integration (quick_validate.py, package_skill.py), .skill artifact strategy, rollback, and operational runbooks for skill releases. Use when the user mentions CI/CD, CI/CD engineer, pipeline design, GitHub Actions, skill validation CI, package skills, release pipeline, deploy skills, PR checks, continuous integration, or skill release workflow—not application-only CI without skill packaging (devops), pre-flight plan go/no-go (build-validator), IDP or golden paths (platform-engineer), org-wide SLO and error-budget programs without pipeline ownership (site-reliability-engineer), or portfolio catalog governance without pipeline YAML (ai-skill-manager).
Guides AI ops leadership—LLM SRE, model/prompt releases, eval/incidents, cost/capacity, vendors, and cross-functional cadence. Use for AI platform ops, LLM SLAs, incidents, rollout governance, unit economics, red-team/eval gates, and team rituals—not memory (ai-memory-developer), context code (ai-context-engineer), security programs (cybersecurity), token roadmaps (ai-token-improvement-plan-engineer), solution architecture (applied-ai-architect-commercial-enterprise), skills portfolio (ai-skill-manager), or vertical AI product eng management (engineering-manager-vertical-ai-products). Prompt/eval team management and golden-set release policy: engineering-manager-agent-prompts-evals. Safeguard inference platform: ml-infrastructure-engineer-safeguards. Safeguard model research: ml-research-engineer-safeguards.