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Found 13,548 Skills
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.
Use when observing and rechecking an ongoing process or state until a requested condition, deadline, or meaningful change occurs without mutation.
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.
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.
Planner+Architect+Critic→consensus impl plan (≤3 rounds)
Run a gated software development lifecycle for a repo. Use for `/jig init` (understand the codebase and scaffold project memory), `/jig task "<request>"` (start an issue/bug/feature through spec→implement→test→review→ship), `/jig status`, `/jig config` (view/set/validate settings), `/jig memory-refresh`, and `/jig resume`. Triggers on "jig", "run the lifecycle", "start a task", "sdlc", "sdlc init/status".
Dolt-powered issue tracker for multi-session work with dependencies and persistent memory across conversation compaction. Use when work spans sessions, has blockers, or needs context recovery after compaction. Trigger with "create task", "what's ready", "track this work", "resume after compaction". Make sure to use this skill whenever managing multi-session work, tracking dependencies, or recovering context.
Self-evolving skills. Record user feedback, update methodologies and rules. Trigger words: update rules, record feedback, improve skill
[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.