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Found 2,165 Skills
Post-mortem diagnostic analysis of failed or stuck workflows. Detects stuck loops, missing artifacts, abandoned work, scope drift, and crash/interruption patterns through git history and plan file analysis. Produces a structured diagnostic report with anomaly confidence levels, root cause hypotheses, and recommended remediation. READ-ONLY: never modifies files. Use for "forensics", "what went wrong", "why did this fail", "stuck loop", "diagnose workflow", "post-mortem", "workflow failure", or "session crashed". Do NOT use for debugging code bugs (use systematic-debugging), reviewing code quality (use systematic-code-review), or fixing issues (forensics only diagnoses).
Use when building, animating, or debugging Roblox GUI elements including HUDs, menus, world-space UI, and player labels. Triggers on: ScreenGui setup, SurfaceGui or BillboardGui placement, UDim2 sizing questions, TweenService UI animations, responsive scaling, LocalScript GUI logic, ResetOnSpawn issues, or any Frame/TextLabel/ImageButton layout work.
Create MCP servers using the C# SDK and .NET project templates. Covers scaffolding, tool/prompt/resource implementation, and transport configuration for stdio and HTTP. USE FOR: creating new MCP server projects, scaffolding with dotnet new mcpserver, adding MCP tools/prompts/resources, choosing stdio vs HTTP transport, configuring MCP hosting in Program.cs, setting up ASP.NET Core MCP endpoints with MapMcp. DO NOT USE FOR: debugging or running existing servers (use mcp-csharp-debug), writing tests (use mcp-csharp-test), publishing or deploying (use mcp-csharp-publish), building MCP clients, non-.NET MCP servers.
MindOS is the user's local knowledge assistant and shared knowledge base. It keeps decisions, meeting notes, SOPs, debugging lessons, architecture choices, research findings, and preferences available across sessions and agents. 更新笔记, 搜索知识库, 整理文件, 执行SOP/工作流, 复盘, 追加CSV, 跨Agent交接, 路由非结构化输入到对应文件, 提炼经验, 同步关联文档. NOT for editing app source, project docs, or paths outside the KB. Core concepts: Space, Instruction (INSTRUCTION.md), Skill (SKILL.md); notes can embody both. Trigger on: save or record anything, search for prior notes or context, update or edit a file, organize notes, run a workflow or SOP, capture decisions, append rows to a table or CSV, hand off context to another agent, check if something was discussed before, look up a past decision, distill lessons learned, prepare context for a meeting, quick-capture to staging area, organize inbox, check knowledge health, detect conflicts or contradictions, find stale content. Chinese triggers: 帮我记下来, 搜一下笔记, 更新知识库, 整理文件, 复盘, 提炼经验, 保存, 记录, 交接, 查一下之前的, 有没有相关笔记, 把这个存起来, 放到暂存台, 整理暂存台, 知识健康检查, 检测知识冲突. Proactive behavior — do not wait for the user to mention MindOS: (1) When user's question implies stored context may exist (past decisions, previous discussions, meeting records) → search MindOS first, even if they don't explicitly mention it. (2) After completing valuable work (bug fixed, decision made, lesson learned, architecture chosen, meeting summarized) → offer to save it to MindOS for future reference. (3) After a long or multi-topic conversation → suggest persisting key decisions and context.
For answering, using, and debugging @wot-ui/cli. Keywords: wot, @wot-ui/cli, CLI, MCP, doctor, usage, lint, list, info, doc, demo, token, changelog, extract, wot mcp. Applicable for command queries, parameter explanations, MCP integration, local debugging, data extraction, and open-wot repository maintenance.
Plaud platform help — hardware AI voice recorder (Note, NotePin, NotePin S, Note Pro) with cloud transcription, AI summaries, and Developer API. Use when choosing between Plaud devices, setting up phone call recording with the vibration sensor, troubleshooting recording activation or sync failures, integrating Plaud transcripts into CRM or data pipelines via the Developer API, comparing Plaud pricing tiers (Starter/Pro/Unlimited), or debugging Bluetooth connectivity and charging issues. Do NOT use for choosing between note-taker platforms (use /sales-note-taker) or reviewing a call for coaching (use /sales-call-review).
Search and recall relevant memories from past sessions via memsearch. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge -- especially questions like 'what did I decide about X', 'why did we do Y', or 'have I seen this before'. Also use when you see `[memsearch] Memory available` hints injected via SessionStart or UserPromptSubmit. Typical flow: search for 3-5 chunks, expand the most relevant, optionally deep-drill into original transcripts via the anchor format. Skip when the question is purely about current code state (use Read/Grep), ephemeral (today's task only), or the user has explicitly asked to ignore memory.
Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, and launch API differences. Use when converting, porting, or translating cuTile Python kernels to Julia cuTile.jl, or debugging/optimizing existing Julia cuTile translations.
Designs and reviews Forze dependency keys, Deps containers, routed/plain registrations, lifecycle steps, and custom DepsModule implementations. Use when authoring adapters, adding integration modules, or debugging dependency resolution and StrEnum route wiring.
Convene a structured LLM Council — five thinking-lens advisors (Red Team, First Principles, Expansionist, Outsider, Executor) plus anonymised peer review, forced debate on consensus, dual-chairman synthesis with dissent preservation, and optional Codex-powered Decision Science pass — to pressure-test high-stakes decisions. Adaptive modes (Quick/Standard/Deep) keep cost bounded; a persistent journal enables learning across runs. Mandatory triggers: /claude-council, "convene the council", "run this by the council", "I need the council", "council this", "pressure-test this", "stress-test this", "war room this", "debate this". Strong triggers: "I'm torn between X and Y", "this is a big decision", "help me think this through from multiple angles", "I need outside perspectives", "should I X or Y" (with real stakes — if binary with obvious answer, triage rejects per Step 1 rule 4). Do NOT invoke for factual questions, coding help, debugging, quick yes/no decisions, emotional support, or questions with one right answer — answer those directly. Optional suffixes: "with codex" enables Decision Science pass; "deep" forces Deep mode; "quick" forces Quick mode. Secondary invocation: /claude-council outcome <sha1> <note> records decision outcome. /claude-council meta runs journal meta-analysis.
Midnight P2P networking — Polkadot SDK libp2p, peer discovery (bootstrap, mDNS, Kademlia DHT), transport (TCP/WebSocket/DNS), Noise encryption, Yamux multiplexing, and substream protocols. Use when configuring nodes, debugging connectivity, or explaining how validators exchange blocks and gossip.
Expert reference for the Dev Container ecosystem. Consult this skill whenever the user is setting up a dev container, configuring or debugging devcontainer.json, working in a Docker-based development environment, or asking about dev containers, GitHub Codespaces, DevPod, or Zed — even if they don't say "devcontainer" explicitly. Covers the full Dev Container spec, schema validation, tool-specific behaviors and limitations (VS Code, Cursor, Zed, Codespaces, CodeSandbox, Podman), Features and Templates (choosing, authoring, publishing), lifecycle scripts, environment variables, port forwarding, multi-container setups, and official best practices from containers.dev and devcontainers.github.io. Also use when the user is confused by container behavior that differs between tools, wants to write or publish a custom Feature, or needs to validate or debug a devcontainer.json.