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Found 1,463 Skills
Route tasks to local skills. Use when choosing skills, recovering omitted skills after context warnings, or preparing a small skill context packet. NOT for install, authoring, or audit workflows.
[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.
Create or complete missing repository-level Codex guidance, especially AGENTS.md, using verified project evidence and the narrowest useful scope. Use for new or substantially incomplete guidance. Use kf-maintain-guidance to reduce, reorganize, or update established guidance. Do not use merely because work begins in a repository, or for ordinary feature implementation or bug fixing.
Extract any website's design system into an agent-ready DESIGN.md using Firecrawl scrape evidence. Use when the user wants colors, fonts, spacing, components, layout patterns, or brand/UI guidance from a website so AI agents can create new websites, clone a look, or build pages inspired by that design.
Generate a documentation pack for a .NET repository so AI coding agents can reason about it — AGENTS.md, architecture, ADRs, data model, infrastructure, plus a `docs/dotnet.md` deep-dive covering the solution/project graph, target frameworks, EF Core data access, DI, configuration & secrets, analyzers, and CI. Invoke with `/arkandia:agent-context-dotnet [en|es]`.
Audit Agent Skills for what no validator can decide: whether a description will ever fire, whether the instructions are followable, whether the body earns its token cost, whether `compatibility` matches what the body requires, and whether mutations are gated. Runs the repo's structural validators first, scores five judgment categories with cited evidence, and returns a PASS / FAIL verdict.
Set up and maintain a repository's agent instruction layer — one real root instruction file, an AGENTS.md symlink so every agent reads the same document, a comment-convention block, and a drift check that catches documented commands, paths, structures, and counts that no longer match the repo.
Long-form Web Novel Deconstruction. In-depth analysis of the Golden Three Chapters, character framework, highlight design, and rhythm control of hit long-form novels. Single in-depth deconstruction pipeline: After completing the Golden Three Chapters (Stage 1), a quick preview report is generated and the user is asked whether to proceed with full deconstruction. Upon confirmation, continue from Stage 2 with chapter-by-chapter summaries, aggregate analysis, setting relationship extraction, and summary report. All outputs are saved to StoryDeconstructionLibrary/{NovelTitle}/. Trigger methods: /story-long-analyze, /长篇拆文 (Chinese command), "Help me deconstruct this book", "Deconstruct this book", "Analyze the Golden Three Chapters", "In-depth deconstruction", "Complete deconstruction", "Systematic deconstruction", or providing the path to the novel text file — all enter the same pipeline.
Layer agentic capabilities onto a full-stack Eve app — agents, teams, memory, events, chat, and coordination. Use when designing an app where agents are primary actors, not afterthoughts.
Use the Trove hosted memory graph (MCP server "trove") to recall prior work, decisions, preferences, and system knowledge before re-deriving them, and to save durable new facts back. Trigger whenever a question touches past projects, "how does my setup work", preferences, decision history, or when a session produces a decision or fact worth remembering. Routes to the trove-recall, trove-remember, trove-ingest, and trove-lint skills; the mcp__trove__* tools (remember, recall, grep, read, connect, forget) are the interface.
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.
Autonomous multi-pass lyric refinement for tightening, cohesion, and album unity. Use after lyrics are written to polish a track or entire album through iterative passes.