Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Draft an Algorand specification (sibling specs repo) update describing a new or changed consensus parameter in go-algorand. Use when the user asks to "update the spec for <param>", "document <feature> in the specs repo", or "write a spec update for a new consensus parameter".
Last-resort guidance for safely hand-editing Unity serialized YAML (.unity/.prefab/.asset/.meta/ProjectSettings) — reference/fileID repair, GUID safety, and merge-conflict fixes. Use when REST cannot reach the change and YAML must be hand-edited — fixing m_Script GUIDs, broken fileID references, .meta files, or merge conflicts, even if the user just says "场景文件打不开" or "引用丢了". 安全手编 Unity 序列化 YAML(.unity/.prefab/.asset/.meta/ProjectSettings)的最后手段(引用/fileID 修复、GUID 安全、合并冲突修复);当 REST 无法触达、必须手编 YAML 时使用——修复 m_Script GUID、断裂 fileID 引用、.meta 文件或合并冲突。
Skill for working with local .knowledge.yaml files via KnowledgeStore. Use this when you need to recall, search, or manage directory-local memories and knowledge links stored in plain YAML alongside the user's project files. KnowledgeStore is directory-scoped. Each directory that contains a `.knowledge.yaml` file maintains its own append-only memory graph. There is no global database — the YAML IS the source of truth. Key operations: - Load a directory's store: `npcpy.memory.knowledge_store.get_store_for_path(path)` - Append a memory: `store.append_memory(initial_memory="...", status="pending_approval", ...)` - Update a memory (approve/reject/edit): `store.update_memory(mem_id, status, final_memory)` - Search memories (keyword substring): `store.search_memories("query", limit=20)` - Get approved context for LLM prompts: `store.build_context(max_memories=10)` - Get links for a memory: `store.get_links_for_memory(mem_id)` - Create a link between memories: `store.append_link(from_mem, to_mem, relation="refines", agent="your_name")` - Aggregate across a tree: `KnowledgeStore.aggregate(root_directory, max_depth=3)` Memory statuses: - `pending_approval` — raw extraction, needs human review - `human-approved` — confirmed and available for context injection - `human-rejected` — discard, can be used as negative examples - `human-edited` — corrected version supersedes initial_memory When answering questions, prefer `build_context()` for recently approved local knowledge, and `search_memories()` for targeted recall. Always respect `human-rejected` memories — do not repeat them.
Create or extend a nao project's RULES.md. Owns the RULES.md template. Use when the user wants to generate the initial RULES.md from synced metadata (called by setup-context), or improve their existing RULES.md. Do not use for first-time scope setup (use setup-context) or for diagnosing existing problems (use audit-context).
Operate documentation-oriented Spec Kitty missions and ensure docs stay tied to shipped behavior and doctrine.
Generate Wiki documentation for code repositories using CodeWiki MCP tools. Use this skill when the user asks to generate a Wiki, code documentation, repository documentation, or analyze codebase structure. Requires CodeWiki MCP server to be configured.
スクリーンショットの取得・加工を行う。ローカルスクショから最新画像を取得、 PlaywrightでWebページをキャプチャ、画像のトリミング・リサイズ、機微情報を黒塗りマスキング。 記事執筆、レポート作成、UI確認、画像加工時に起動。 「スクショ」「スクリーンショット」「画面キャプチャ」「最新のスクショ」「画像加工」「トリミング」「マスク」「写メ」「写メ撮った」「スクショ撮った」で起動。 Do NOT use for: 画像生成（shogun-imagegenを使え）。
Generate audio narration of blog posts using Google Gemini TTS. Supports summary narration, full article read-aloud, and two-speaker podcast/dialogue mode with 30 voice options. Outputs MP3 with HTML5 audio embed code. Works standalone via /blog audio or internally from blog-write. Falls back gracefully when API key is not configured. Use when user says "blog audio", "narrate blog", "audio version", "text to speech", "tts", "podcast mode", "read aloud", "audio narration", "voice", "narration", "generate audio".
Use when making code, workflow, testing, or documentation changes in this repository and you need targeted project-specific facts from README files before editing. Read only relevant snippets from root README.md or src/README.md; do not load whole README files unless the user explicitly asks for a full document review.
Search the user's local Pensieve screenshot archive by text, app, or time range. Use when the user asks to find a screenshot ("find that thing I looked at last week", "show me when I was working on the Mastra integration", "find screenshots of the YouTube video about X"), or to locate a specific moment in time across captured activity. Returns ranked entity_ids with filepaths, timestamps, OCR snippets, and VLM-extracted structured metadata (app, topic, workspace). Can open the image locally for the user. Skip when the user wants aggregated stats, time-series analytics, or cross-day project rollups — those need separate tools.