AI & ML

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This skill wraps a Microsoft Agent Framework (`agent-framework`) workflow into Use when this capability is needed.

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Generates AGENTS.md files for repository folders — coding agent context files with build commands, testing instructions, code style, project structure, and boundaries. Only generates where AGENTS.md is missing.

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Guidelines for building modern APIs with Koa.js and TypeScript, featuring the onion middleware model and async/await patterns Use when this capability is needed.

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Amplifyサンドボックス（バックエンド）を起動し、完了後にフロントエンドもローカル起動する Use when this capability is needed.

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Control agent role — monitors email inbox and delegates tasks to worker sessions. Activate with /skill control-agent. Use when this capability is needed.

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Expert in creating well-structured GitHub issues with clear problem statements, specific acceptance criteria, and actionable technical context using GitHub MCP. Specializes in feature requests, bug reports, and refactoring tasks with proper labels and issue tracking. Use when creating issues before implementation, reporting bugs, or structuring project work. Use when this capability is needed.

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This skill should be used during Phase 4.5B (Context Sync) when context window usage exceeds 50% (auto-triggers at 80%), after each task completion in long sessions, or when spawning fresh agents. Manages context window efficiently to prevent information loss, enables seamless handoffs between agent instances, and maintains coherence across long-running work. Use when this capability is needed.

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Turn Codex sessions or thread IDs into durable project instruction patches. Use when the user asks to analyze a Codex session, learn from a failed agent run, improve AGENTS.md/CLAUDE.md/Cursor/Copilot rules from chat history, or run Rulewright. Use when this capability is needed.

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Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). Use when this capability is needed.

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Use for any task involving the tangermeme library — post-training analysis of genomic sequence-to-function (S2F) deep learning models. Triggers on predictions, DeepLIFT/SHAP attributions, marginalization/ablation/spacing of motifs, saturation mutagenesis (ISM), variant effect scoring, sequence design, seqlet calling, loading loci/FASTA/bigWig/MEME/VCF, or wrapping a PyTorch genomic model for these analyses. This is a router skill — read the relevant file under references/ for details and footguns before writing tangermeme code. Use when this capability is needed.

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This skill should be used when the user asks to "plan a feature", "evaluate a feature", "review a feature proposal", "analyze a feature before implementation", "plan a feature", "review this feature", "assess this feature", or uses the /super-dev command for multi-agent feature planning with 5-perspective judgment system. Use when this capability is needed.

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Get an independent GPT review via Codex CLI. Use when you want a second opinion on code, plans, or architecture from a different AI model. Use when this capability is needed.

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It's an agent-native world. Play games, track scores, and have fun. Use when this capability is needed.

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Execute codex CLI as sub-agent for thorough code reviews (codex's specialty), alternative approaches when stuck, or complex problems requiring extended investigation. Note that inference takes significant time. Use when this capability is needed.

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Use when revising existing wiki pages because knowledge has changed, a new piece of information updates or contradicts existing content, or the user wants to directly edit wiki content with LLM assistance.

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Générateur de Skill - Crée de nouveaux fichiers SKILL.md depuis les définitions YAML d'agents Use when this capability is needed.

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Create GitHub releases for dashboard, cluster-api, and cluster-agent components by tagging the repo with the appropriate semver version. Use when this capability is needed.

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First-time analysis of a repository with no prior reviewer outcomes. Crawl historical merged-PR review feedback with the gh CLI (plus any preloaded samples), extract the team's review norms, and synthesize the initial per-repo review-style prompt. Use this for a cold-start repo; use continual-learning instead once the reviewer has accumulated finding outcomes. Use when this capability is needed.

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Contributes an agent to the letta-ai/agent-file directory. Use when setting up a new agent (.af file) for publication, including directory creation, avatar processing, file placement, and structure verification. Triggers on requests to release, publish, or contribute an agent file. Use when this capability is needed.

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Create Hana plugin scaffolds and guide users through beginner or developer plugin planning, capability checks, manifest setup, runtime tools, WebView/iframe UI, Session/Agent APIs, model/media APIs, SDK templates, and install-ready plugin directories. Use when HanaAgent/Codex needs to explain what Hana plugins can do, help a user describe a plugin idea, check whether the SDK supports it, or generate/update a Hana plugin with @hana/plugin-runtime, @hana/plugin-sdk, and @hana/plugin-components. Use when this capability is needed.

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在临时目录中用 uvx 或 uv tool run 安装 specify-cn 的 main 分支最新提交，对源码声明支持的 agent 执行 init，并校验版本、中文化、模板完整性、agent 文件落点与 ai-skills 安装结果。用于本地发布后验收。 Use when this capability is needed.

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This skill requires sdk-embedding. Read it first for foundational concepts.

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Convert an existing Qt/PySide/PyQt desktop project (QWebEngineView-based UI, QMainWindow browsers, Qt DCC tools) into an AuroraView project so it ships a lighter, Rust-powered WebView and gets full MCP automation for free. Use this skill whenever the user asks to "migrate", "convert", "port" a Qt/PySide/PyQt app to AuroraView, or when they want MCP-controllable Qt tooling. Use when this capability is needed.

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Analyze Python code quality using MCP tools - complexity, clones, dead code, coupling. Use when user asks about code quality, refactoring, maintainability, duplicates, or technical debt. Use when this capability is needed.

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Audit local AI coding-agent sessions with agenttrace. Use when the user asks to inspect Claude Code, Codex CLI, Gemini CLI, Qwen Code, Cline, Aider, Cursor exports, Hermes Agent, OpenCode, OpenClaw, Pi, Oh My Pi, Kimi CLI, Copilot-style logs, or generic JSON/JSONL traces for cost, tokens, tool failures, latency, anomalies, health, diffs, or CI gates. Use when this capability is needed.

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Machine learning model training authority — classifier and regressor training with scikit-learn and PyTorch, feature engineering, cross-validation, hyperparameter tuning, fine-tuning transformer models with HuggingFace, dataset splits, loss functions, learning rate schedules, and reproducible training runs Use when this capability is needed.

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YAML frontmatter schemas for Claude Code agents and commands. Use when creating or validating agent/command files. Use when this capability is needed.

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MCP server standardization patterns for Claude Code plugins. Use when implementing MCP servers, designing tool interfaces, configuring MCP transports, or standardizing MCP naming conventions. Use when this capability is needed.

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Determine next agent based on state machine rules. Use AFTER receiving any BAZINGA agent response to decide what to do next. Use when this capability is needed.

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Generates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification. Use when the user wants to create LLM-readable summaries, llms.txt files, or make their wiki accessible to language models.

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Chat with web AI agents (ChatGPT, Gemini, Claude, Grok, Perplexity, NotebookLM) via browser automation. Use when stuck, need cross-validation, want a second-model review, need image generation, want deep research, or want to generate video (Google Flow/Veo, Dreamina/Seedance) from web AI tools. Use when this capability is needed.

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Allows the agent to create cron job to execute actions later or regularly Use when this capability is needed.

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当用户要求"IPC 通信"、"进程通信"、"Agent 协议"、"stdin/stdout"、"JSON 消息"、"Orchestrator 通信"、"消息序列化"，或者提到"进程间通信"、"Agent 集成"、"消息协议"时使用此技能。用于实现 Rust Orchestrator 和 Platform Agents 之间的 IPC 通信，包括消息格式定义、序列化、错误处理和性能优化。 Use when this capability is needed.

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Orchestrate F1 test drives to validate the Cyrus agent system end-to-end across issue-tracker, EdgeWorker, and activity rendering. Use when this capability is needed.

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Trade on Polymarket via split + CLOB execution. Browse markets, track positions with P&L, discover hedges via LLM. Polygon/Web3. Use when this capability is needed.