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Found 13,986 Skills
Comprehensive multi-perspective review using specialized judges with debate and consensus building
Generate and critically evaluate grounded improvement ideas for the current project. Use when asking what to improve, requesting idea generation, exploring surprising improvements, or wanting the AI to proactively suggest strong project directions before brainstorming one in depth. Triggers on phrases like 'what should I improve', 'give me ideas', 'ideate on this project', 'surprise me with improvements', 'what would you change', or any request for AI-generated project improvement suggestions rather than refining the user's own idea.
[BETA] Execute work plans with external delegate support. Same as ce:work but includes experimental Codex delegation mode for token-conserving code implementation.
Unified learning-and-memory system: confidence-scored instincts (observe-hypothesize-confirm, stored in .claude/instincts.md), user corrections captured as permanent rules in MEMORY.md, and organic discoveries logged to .claude/learning-log.md. Includes status, export, and import modes. Load this skill when you notice a recurring pattern, a user corrects your output, or you discover something non-obvious. Triggers: "show instincts", "what have you learned", "list instincts", "export instincts", "share instincts", "import instincts", "load instincts from", "learn this", "I think they always", "notice a pattern", "instinct", "hypothesis", "confidence", "learn from mistakes", "remember this", "don't do that again", "log this", "document this finding", "gotcha", "what did we learn", "learnings", "discoveries", or at session start (to load existing knowledge).
Spawn Comment Sicko, fix accepted findings, and offer encodings for claimed constraints.
[user] 명시적인 작업 원천을 저장소 근거와 자연스러운 대화로 구체화해, 새 세션이나 더 낮은 수준 실행자가 원 대화 없이 사용할 수 있는 `.tigerkit/seed.md`를 준비합니다.
[user/auto] 하나의 pull request의 review feedback 또는 지원 가능한 GitHub Actions 실패를 fresh state로 읽고, 자연스러운 해결 계획을 합의한 뒤 필요 시 `seed.md`를 사용해 수정·검증·제한된 publication까지 처리합니다.
[user/auto] 사용자가 직접 해야 하는 `provisioning`, `credential`·`secret`, `login`/MFA/OTP/CAPTCHA/`passkey`, `dashboard`, `permission`, `device` `pairing`, `migration`/`cutover` 절차를 근거 기반의 자연스러운 대화로 안전하게 안내한다.
All-in-one skill for CLAUDE.md files. Two modes: `audit` finds drift (claimed facts no longer matching code), leaked secrets, duplicates, instruction-budget bloat, and prescriptive-vs-descriptive imbalance across all CLAUDE.md files in your projects. `improve` measures one CLAUDE.md against Anthropic's official best practices (200-line budget, removability test, emphasis tuning, 3-tier hierarchy) plus community-validated guidance, then proposes concrete rewrite diffs applied only after user approval. Default behavior auto-detects: in a project with a CLAUDE.md → improve mode; otherwise → audit all. Use when: 'audit claude.md', 'check claude md drift', 'lint CLAUDE.md', 'claude md audit', 'refresh instructions', 'improve CLAUDE.md', 'restructure CLAUDE.md', 'tune CLAUDE.md', 'apply CLAUDE.md best practices', 'is my CLAUDE.md good', 'CLAUDE.md is too long', 'rebalance CLAUDE.md', or quarterly as a hygiene check.
Inquire into a question through evidence. Use when running an inquiry, figuring something out from data, or reaching a shared understanding of a problem via a claim tree.
Install a community skill from a watched registry. Reads the allowlist first, fetches, shows the RAW SKILL.md (not just a summary), runs structural trust checks, runs skills-qa, and only writes files after explicit user approval. Use when the user says "install [skill]", picks install from browse, or provides a direct skill URL.
Create a new OpenCode Skill. Use this skill when the user mentions phrases like "create a skill", "new skill", "help me write a skill", "make a skill", "skill creation", or "I want to make a skill".