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Learn project rules from accumulated fix patches in .unikit/code/patches/. Analyzes past mistakes, extracts prevention points, classifies each as a coding rule (→ RULES.md) or a per-skill workflow rule (→ skill-context), and proposes them for approval. Use when the user wants to turn past fixes into rules — "evolve", "evolve the rules", "learn from past mistakes", "learn from the fixes", "analyze the patches", "what rules should we add from recent fixes". Best run after several /unikit-fix sessions have left patches behind. This derives rules from accumulated patch history — to add a single rule by hand use /unikit-rules, and to promote mature RULES.md entries into the knowledge base use /unikit-memory migrate-rules.

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Cold-start brownfield reconnaissance — reconstruct the WHOLE game design from an existing codebase when there is no GDD yet. Optionally accepts a free-text game description, notes, or reference links to guide and enrich the scan. Use when the user wants to build the game design from the code, e.g. "create a GDD from this codebase", "reconstruct the design from our code — it's a roguelike deck-builder", "build a design doc from the existing project, here are some refs". Scans the project (engine auto-detected), extracts a system roster + dependency graph and content-type schemas / resources / entities into one passive .unikit/gamedesign/RECON.md, tags every fact provenance:extracted-from-code, and writes a mandatory Intent Gap for what code cannot know (pillars, fantasy, the "why"). Writes nothing else and calls no skill. STRICTLY whole-project cold-start — if a GDD already exists and the user wants a specific part investigated, use /unikit-gd-explore (code lens); to author the GDD use /unikit-gd-spec.

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Manage the project's TODO list in .unikit/TODO.md — capture work to remember for later, not to do right now. Use it to add a deferred item, mark a todo complete, or show the list. The point is to park tasks you don't want to act on in the moment but don't want to forget. Trigger on "add a todo", "add this to the todo list", "put X on the todo list", "remind me to...", "don't forget to...", "note this for later", "we should do this later", "mark this todo done", "what's on the todo list", "what's left to do". This is only for parking reminders — to actually plan or do the work now, use /unikit-plan, /unikit-implement, or /unikit-devcontext.

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AI เชฟครัวร้านอาหาร — menu development, kitchen brigade, mise en place, food cost, seasonal menu, HACCP, Thai culinary context

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ออกแบบ 3D model — Blender workflow, topology, UV unwrap, texturing, render brief สำหรับ game/product/character

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Expert in world religions covering beliefs, practices, texts, and comparative analysis across traditions

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Generate and edit images with Dreamfield's OpenAI-compatible gpt-image-2 image API. Use when the user asks Codex to create, test, or save an image from a text description, make wallpaper or illustration assets, perform image-to-image generation from reference images or clipboard images, use masks/inpainting, verify Dreamfield image generation, or troubleshoot image-generation responses such as empty data, b64_json, URL output, quota errors, or content policy errors.

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Diagnose failures in SKMTC sessions — no output, wrong output, error messages, failed bundle builds, parseIssues, "Registered definition mismatch", ref cycles, "Module not found" in generated code, or any other broken behavior. Applies across both CLI usage and generator authoring contexts. Use this skill when the user asks "why isn't my generator working", "no output for X", "wrong output", "what does this error mean", "manifest says X", "bundle failed", "INVALID_SCHEMA", "INVALID_DEPENDENCY_REF", "Registered definition mismatch", "Module not found" (in generated code), "ConfigValidationError", or reports any other SKMTC failure. This skill encodes a **verify-first epistemic stance** — read the manifest, check parseIssues, reproduce the failure before proposing fixes. Distinct from `skmtc-cli` and `skmtc-generator` which guide *doing*; this skill guides *diagnosing*.

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The operation-generator shape for Skmtc: one definition per (path, method), for any output family — client hooks, SDK methods, forms, route stubs, docs. Output varies wildly; the DECOMPOSITION of the operation and the peer-consumption rules do not. Core teaching: every schema that appears in your output is a reference to a model generator's definition, obtained through the insert machinery — never rendered text. Use when authoring or editing a generator whose subject is operations ("write a gen for API clients/hooks/routes", "generate an SDK/form per endpoint"). Covers the projection shape only — accumulators (many operations → one file) are out of scope. Load ALONGSIDE skmtc-generator and the emitted language's skill.

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Draft a customer support email reply based on ticket context.

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Process a refund request by gathering context and preparing the refund workflow.

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Analyze customer message text for sentiment, urgency, and emotional tone.

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Embeds a local video into an exact rectangular or rounded region of a screenshot or static image, preserving surrounding text, the full video, and original audio. Use when users ask to put a video inside a screenshot, replace a screenshot's video area, 图片嵌入视频, 截图变视频, 视频精准对齐, or 圆角视频合成.

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Manage Spec Kit extensions via `specify extension`. USE FOR: listing installed extensions as text or JSON, installing/removing/updating extensions, searching the extension catalog, showing extension info, enabling/disabling extensions, setting resolution priority, or managing extension catalogs. DO NOT USE FOR: artifact composition stacks (use speckit-artifact), presets (use speckit-preset), bundles (use speckit-bundle), or workflows (use speckit-workflow).

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Manage Spec Kit presets via `specify preset`. USE FOR: listing installed presets as text or JSON, installing/removing presets, searching the preset catalog, showing preset info, resolving which template a preset name maps to, enabling/disabling presets, setting resolution priority, or managing preset catalogs. DO NOT USE FOR: full artifact composition stacks (use speckit-artifact), extensions (use speckit-extension), bundles (use speckit-bundle), or workflows (use speckit-workflow).

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百度语音识别 - 将语音消息转换为文本。支持中文普通话、英语、粤语、四川话。专为国内服务器环境优化，自动绕过代理访问百度 API。

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Use when designing or refining UIs that must be visually minimal, low-noise, and icon-forward while staying understandable for new users, especially when reducing text, consolidating controls, or streamlining dialogs, toolbars, search panels, or list results.

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MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.

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Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates.

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Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.

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Suggest relevant GitHub Copilot instruction files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing instructions in this repository, and identifying outdated instructions that need updates.

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Context hygiene — compress, prune, archive .squad/ state

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Use automatically for PDF tasks, including Chinese requests like 查看PDF, 读取PDF, PDF里写了什么, 总结PDF, 分析PDF, 提取PDF文字, 识别PDF内容, or questions about any .pdf file. Prefer text extraction with pdfplumber/pypdf first, then render pages with Poppler when layout, images, tables, stamps, watermarks, or scanned content matter.

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Complete MCP engineering work on the live path: build or repair servers and Apps, debug stdio or Streamable HTTP, migrate protocol/SDK/transport versions, reconcile source with package and activated runtime, inspect capability/effect authorization, and verify named-host claims without promoting weaker evidence. Use for real Model Context Protocol implementation, review, migration, runtime, or host-integration tasks. Do not use for ordinary non-MCP APIs, generic frontend work, or incidental product copy.

日本語の概要は準備中です。原文の説明を表示しています。