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Found 13,390 Skills
Convene a structured LLM Council — five thinking-lens advisors (Red Team, First Principles, Expansionist, Outsider, Executor) plus anonymised peer review, forced debate on consensus, dual-chairman synthesis with dissent preservation, and optional Codex-powered Decision Science pass — to pressure-test high-stakes decisions. Adaptive modes (Quick/Standard/Deep) keep cost bounded; a persistent journal enables learning across runs. Mandatory triggers: /claude-council, "convene the council", "run this by the council", "I need the council", "council this", "pressure-test this", "stress-test this", "war room this", "debate this". Strong triggers: "I'm torn between X and Y", "this is a big decision", "help me think this through from multiple angles", "I need outside perspectives", "should I X or Y" (with real stakes — if binary with obvious answer, triage rejects per Step 1 rule 4). Do NOT invoke for factual questions, coding help, debugging, quick yes/no decisions, emotional support, or questions with one right answer — answer those directly. Optional suffixes: "with codex" enables Decision Science pass; "deep" forces Deep mode; "quick" forces Quick mode. Secondary invocation: /claude-council outcome <sha1> <note> records decision outcome. /claude-council meta runs journal meta-analysis.
When to use — build, extend, or debug a DeepSeek Harness (dsh) plugin — plugin naming/scope rules, the host/client entry split, cordis services, client slots/settings/locale, the apiproxy RPC, profiles and presets, self-contained bundle packaging/loading, the develop→load→reload loop, or proposing a change to dsh itself.
Review source files changed during a phase for bugs, security issues, and code quality problems
Analyze the user's manual rewrite or repeated correction of Codex-generated work and propose durable, carefully scoped lessons. Use when the user asks to improve future behavior from their corrections. Do not use for ordinary task requirements or one-off implementation feedback without a request for lasting guidance.
Self-evolving skills. Record user feedback, update methodologies and rules. Trigger words: update rules, record feedback, improve skill
Canonical workflow for a task. Read and follow strictly end to end while working on the task.
Applies this repository's skill-authoring standard as a procedure. Use for any change to, or judgment about, a file under skills/** — a SKILL.md, a reference, a persona prompt, a bundled script's instructions: creating a skill, editing one, reviewing a skill change, or acting on review feedback (human or bot) about one. Not for src/, tests/, or scripts/ code.
[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.