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概要と使いどころ
Ultra-compressed code review comments. Cuts noise from PR feedback while preserving the actionable signal. Each comment is one line: location, problem, fix. Use when user says "review this PR", "code review", "review the diff", "/review", or invokes /caveman-review. Auto-triggers when reviewing pull requests.
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。
Expert-level control systems engineering covering feedback control, PID design, root locus, frequency domain methods, state-space design, and digital control.
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。
Expert-level electronics covering diodes, BJTs, MOSFETs, amplifier design, operational amplifiers, feedback, and analog circuit design.
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。
Review-fix pipeline for Codex. Equivalent to the repository's Claude skill: collect review feedback, apply fixes through the existing review workflow, and prepare replies. Usage: /review [<issue#>|<PR#>]
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。
Set up and optimize repositories for AI coding agents. Creates minimal AGENTS.md, CLAUDE.md symlink, docs/REQUIREMENTS.md, docs/BUSINESS-RULES.md, feedback loops, and deterministic enforcement (Claude Code hooks, OpenCode plugins). Use when user wants to make a repo AI-friendly, set up AGENTS.md/CLAUDE.md, document requirements/business rules for AI, add pre-commit hooks for AI workflows, or optimize codebase structure for coding agents.
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。
Universal desktop application controller for Windows. Automate any desktop app — send messages, click buttons, type text, take screenshots, and interact with native Windows applications. Use this skill when the user asks to: "control my computer", "automate desktop", "send a message on [any chat app]", "click on [something]", "type into [app]", "take a screenshot", "操控电脑", "自动化桌面", "给某某发消息", "打开某某软件", "截个屏", or any task involving interacting with Windows desktop applications. WeChat triggers: "send a WeChat message", "message someone on WeChat", "打开微信发消息", "给某某发微信", "微信发送", "微信发消息", "用微信发", "帮我发微信". Email/Web triggers: "打开邮箱", "发邮件", "send email", "open browser", "操控浏览器", "网页操作". Supports: WeChat, WeCom, DingTalk, Feishu/Lark, QQ, Telegram, Slack, Teams, any browser-based web app, and any other Windows desktop application. Inspired by OpenAI's playwright-interactive skill, combining code-based automation with visual screenshot feedback loops. ROUTING: For web/Electron apps (email, Slack, browser), prefer Playwright with CSS selectors for speed and precision. For native desktop apps (WeChat, QQ, DingTalk), use Win32 API automation.
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。
Ship an already-committed Git branch through GitHub: verify branch/worktree intent, push, create or mark a pull request ready for review, optionally wait for CI, optionally address review comments automatically, and merge with explicit safety gates. Use when a solo developer repeatedly asks to publish committed work, register a ready PR, handle PR feedback, and complete merge.
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。
When processing code review feedback (bot or human) before changing anything — triages, verifies and pushes back with technical reasoning — even when the user just says 'fix the comments'.
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。
Use when the user says "review this", "check my code", or wants feedback on changes. Reviews for correctness, quality, security, and coding standards.
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。
Harness-first workflow for evaluating and improving terminal UIs through real interaction. Use this whenever the user wants to review a TUI experience, compare before/after behavior, identify UX friction, validate navigation or filtering flows, inspect visual stability, or turn observed interaction problems into concrete follow-up tests and improvement recommendations. Prefer this skill any time a TUI should be exercised through a reproducible PTY/session harness instead of only reading code.
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。
Habilidade abrangente de revisão de código para TypeScript, JavaScript, Python, Swift, Kotlin, Go. Inclui análise automatizada de código, verificação de boas práticas, scanning de segurança e geração de checklist de revisão. Use ao revisar pull requests, fornecer feedback de código, identificar problemas ou garantir padrões de qualidade de código.
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。
Auxilia na redação de conteúdo de alta qualidade através de pesquisa, adição de citações, melhoria de ganchos, iteração em esquemas e feedback em tempo real de cada seção. Transforma seu processo de escrita de esforço solo em parceria colaborativa.
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。
Quando o usuário quer editar, revisar ou melhorar copy de marketing existente. Também use quando o usuário menciona 'edite este copy', 'revise meu copy', 'feedback de copy', 'revise ortografia', 'polir isto', 'melhorar isto' ou 'revisão de copy'. Esta skill fornece uma abordagem sistemática para editar copy de marketing através de múltiplas passagens focadas.
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。
Ajuste fino de LLMs usando reinforcement learning com TRL - SFT para ajuste de instruções, DPO para alinhamento de preferências, PPO/GRPO para otimização de recompensas e treinamento de modelo de recompensas. Use quando precisar de RLHF, alinhar modelo com preferências ou treinar a partir de feedback humano. Funciona com HuggingFace Transformers.
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。
Sistema autônomo multi-agente para startups em Claude Code. Ativado com "Loki Mode". Orquestra 100+ agentes especializados em engenharia, QA, DevOps, segurança, dados/ML, operações comerciais, marketing, RH e sucesso do cliente. Vai de PRD para produto totalmente implantado e gerando receita com zero intervenção humana. Inclui ferramenta Task para despacho de subagentes, revisão de código paralela com 3 revisores especializados, triagem de problemas baseada em severidade, fila de tarefas distribuída com tratamento de dead letter, implantação automática em provedores de nuvem, testes A/B, loops de feedback de clientes, resposta a incidentes, circuit breakers e auto-recuperação. Gerencia limites de taxa via checkpoints de estado distribuído e retomada automática com backoff exponencial. Requer flag --dangerously-skip-permissions.
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。
[Code Quality] Use when reviewing UI/frontend changes for long-content overflow, responsive multi-screen layout (flex-wrap / row-to-column on small devices), flex-vs-fixed sizing, z-index discipline, SCSS/BEM styling quality, and async UI states & feedback (loading indicator, error surface, empty state).
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。
[Quality] Use when setting up an agent quality harness with feedforward guides and feedback sensors.
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。
[Code Quality] Use when evaluating review feedback, requesting targeted code-quality review, or verifying completion claims.
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。
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
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。
Agent Media OS, the single skill for every media need in a HyperFrames project. Resolve BGM, SFX, image, icon, brand logo, voice, color grade, or LUT into a frozen local file or paste-ready block + ledger record (one verb, `resolve`); generate via TTS / music / image models when the catalog misses; produce voiceover, transcription, captions, and background removal through one shared audio engine; operate on media (cut / reframe / transform); and reuse assets across projects. Also use for vague feedback that real footage looks dark, flat, boring, should feel retro/camcorder/print/ASCII, needs privacy, or needs a media reveal.
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。
Design and review client UI changes — visual token discipline, reuse-before-adding, feedback surfaces (toast vs in-place notice vs empty state), overlay and menu safety, platform window adaptation, loading states, and error copy placement. Use when adding or changing product-user-visible GUI behavior, or when reviewing such a PR.
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。
Use the HyperFrames CLI development loop: init, add, catalog, capture, lint, check, snapshot, compare, grade-compare, preview, play, present, beats, keyframes, single or batch render, publish, cloud, cloudrun, feedback, lambda, doctor, browser, info, upgrade, skills, compositions, docs, benchmark, telemetry, transcribe, auth, tts, and remove-background. Also use when diagnosing build or render failures. validate, inspect, and layout are deprecated aliases; use check. Covers local, HeyGen-hosted cloud, AWS Lambda, and Google Cloud Run rendering.
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。
Review a GitHub pull request and provide structured feedback with severity ratings
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。
Decision transparency, feedback collection, and debate invitations for AID methodology. Active in ALL phases for ALL roles.
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。