muki-ai-plugins

Use when the conversation surfaces knowledge that code, types, tests, or git history can't reveal — the user explains a business rule or a spec, shares a gotcha, gives the why behind a decision, says "that's intentional, not a bug", or you hit a pitfall or dig up a non-obvious root cause while debugging. Record it into docs/lore/ before the session ends and it evaporates.

Use when asked whether the project's lore is healthy or still helping, or when the 30-day heartbeat suggests a re-check — audits coverage, link health, freshness, entry quality, adoption, and language health, read-only, then hands fixes off to lore-maintain, lore-capture, and lore-ul.

Use when about to plan a feature, fix a bug, or touch unfamiliar code in a repo that has a docs/lore/ folder, before writing any implementation — surfaces the business rules, pitfalls, glossary terms, and API map relevant to the task, and flags entries that look stale.

Use when about to commit, open a PR, or claim a change is done in a repo that has docs/lore/ — maps the changed files to lore entries through their code: links and reports any business rule, pitfall, or glossary naming rule the change violates. Read-only for both code and lore.

Use when a project has no docs/lore/ yet and implicit knowledge starts coming up in conversation, or when the user asks to initialize, bootstrap, or set up project lore — scaffolds the docs/lore/ knowledge base.

Use when lore looks stale or noisy, when a lore-check report flags problems, or on a periodic sweep — finds stale, duplicate, or wrong entries, checks that code links and the README index still hold, and prunes obsolete content; marking over deleting, with confirmation for destructive actions.

Use when a conversation hits a vague or overloaded term, the same word means different things in different places, the user quietly rewords something you said, the user keeps using a word the glossary doesn't have, or code names disagree with how the user talks — align the term into docs/lore/glossary.md. Also bootstraps a glossary for a project that has none.

Export Figma frames as PNG images via Figma REST API. Use when you need to get a design screenshot from a Figma URL for visual comparison.

Pixel-level image comparison between two screenshots. Generates a visual diff overlay highlighting differences. Use for comparing Figma designs against web implementations.

測試體檢診斷器（test review / audit existing tests / find test blind spots）——讀一份既有測試，找出盲點與建議，產出一份 self-contained HTML 報告（不修改任何 source／測試／設定）。報告每條 finding 帶嚴重度，可 toggle 展開被測 source 的關鍵幾行。只診斷不寫測試：要補測試或自動改善測試，請改走 tdd 或你的測試改善 skill。