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概要と使いどころ
Sub-skill: Implement ARD (Agentic Resource Discovery). Publish /.well-known/ai-catalog.json so agents can discover MCP servers, A2A agents, skills and API tools (agenticresourcediscovery.org / ai-catalog).
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。
Rigorous engineering orchestrator ported from Lauren Tan's pstack (poteto-mode): reads your task, picks one of 23 playbooks (bug fix, feature, refactoring, perf, investigation, prototype, babysit, shipping, autonomous run, orchestrate, and more), routes to bundled procedures (how, why, architect, arena, swarm, interrogate, unslop, technical-writing, show-me-your-work, tdd, and others), and applies 24 engineering principles. Self-contained: no plugin install, no sibling skills required, works with any agent that reads skills.sh-format SKILL.md files. Use whenever a task needs rigor: nontrivial code changes, architecture decisions, debugging, reviews, PRs, long autonomous runs, or "work like poteto", "poteto-mode", "pstack".
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。
Convert PDF files into reusable HTML with ComPDF. Use for web publishing, browser workflows, portal embedding, content migration, and PDF-to-HTML 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。
Skills for accessing and searching docs in DeepWiki/GitHub’s public code repositories can help users understand open-source project source codes, and users can also ask questions directly about the code docs.
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。
Home Assistant custom integration development in Python. Covers custom_components, DataUpdateCoordinator, config_flow, OAuth2, conversation agent, HACS publishing, device registry, entity platforms, services, repair issues, diagnostics, Bluetooth integrations, and multi-coordinator patterns.
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。
Scaffold-time observability so a shipped product is not blind in prod from day one — error capture (Sentry), request-id structured logging, and /healthz + /readyz endpoints. stack-baseline pins Sentry but nothing wires it; this is the wiring. Loaded by app-scaffolder (bake into the scaffold), infra-provisioner (prod env + probes), and consumed by l3-support (traces) and devops (deploy gate).
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。
Search an index of public repositories, GitHub issues, merged pull requests, repository READMEs, and curated documentation sites. Use when a programming question needs external documentation or upstream evidence.
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。
Find the papers that answer a research query in Firecrawl's research paper index — a corpus of paper abstracts whose largest share is biomedical and life-science literature (PubMed, bioRxiv, medRxiv), alongside arXiv preprints in CS, physics, and math — using semantic search, semantic and structural expansion, and in-body verification. Use this skill for literature-finding and paper-retrieval tasks of any kind, including clinical, biomedical, drug, gene, disease, and other life-science questions, whether the answer is a single paper or a full multi-paper set. The index is reached only through the `firecrawl_research_*` MCP tools or the `firecrawl research` CLI subcommands. Calling `firecrawl_search` with its `categories` option set to `["research"]` is a different feature — it filters ordinary web search to research-affiliated websites (the list includes PubMed, bioRxiv, medRxiv, arXiv, and publisher sites) and returns page results from them, without querying the paper records in this index.
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。
Audit and improve the discoverability of the timepicker-ui documentation site (docs-app/) across the full modern discoverability stack — SEO (ranking), AEO (answer engines / featured snippets), GEO (citations inside ChatGPT/Gemini/Perplexity/Claude), and AIO (Google AI Overviews). Use when the user wants to optimize docs SEO, improve Google ranking/positioning, win featured snippets or AI-answer boxes, get the docs cited by AI engines, add or fix sitemap/robots/manifest, fill in page metadata, add Open Graph/Twitter cards, answer-first copy, or JSON-LD (FAQPage/SoftwareApplication/TechArticle/BreadcrumbList). Drives the seo-optimizer subagent with an audit → approve → apply flow.
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。
Full repository maintenance pipeline that orchestrates all project agents in sequence - code review, accessibility, bundle size, security, API stability, test coverage, ecosystem, and release preparation. Acts as a quality gate before publishing or merging major changes. Use when: maintenance, health check, pre-release audit, quality gate, full pipeline, repo health, pre-merge check, release readiness, audit all.
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。
Cut a new timepicker-ui release. Use when the user wants to bump the version, prepare a release, write/update the changelog, or sync version + changelog across README, CHANGELOG.md and the docs-app (changelog/what's-new/version strings). Drives the build-release subagent in an audit → approve → apply flow, then runs a sanity build. Does NOT git-commit/tag or npm-publish — proposes those for the user to run.
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。
Run a self-refinement loop when a Blender result is subpar, user expectations are not met, validation fails, or repeated issues reveal missing skill depth. The loop diagnoses the gap, decides whether to repair the artifact or acquire/refine a generic skill, sanitizes lessons for reusable publication, updates docs/versioning, validates, and prepares stage/commit/push when explicitly requested.
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。
Chooses PaaS hosting for apps, agents, APIs, and workers. Use when picking Vercel, Fly.io, Railway, Render, Cloudflare, Netlify, Heroku, Cloud Run, or container PaaS.
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。
Chooses managed backend platforms such as Supabase, Convex, and Firebase. Use when comparing database, auth, realtime, and backend-service tradeoffs.
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。
Diagnoses slow services and regressions via profiling and tail-latency math. Use when diagnosing slow services, profiling hot paths, or judging whether an optimization is real.
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 local AI engines for iOS. Use when wiring Apple Foundation Models, local classifiers, extraction, summarization, grounded answers, and cloud fallbacks.
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。
Designs database schemas, migrations, and data models for PostgreSQL, MySQL, MongoDB, and Redis. Use when planning tables, relationships, indexes, or ORM-backed schema changes.
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。
Designs NUnit-based C# test suites for API, component, and integration coverage. Use when creating fixtures, wiring Testcontainers, or reducing flaky CI behavior.
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。
Designs performance and load testing: stress, spike, soak, capacity, CI budget gates. Use when planning load tests or perf gates; not code or SQL tuning.
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。
Defines CC-* code rules and waivers. Use when mapping lint findings to rule IDs or tracking complexity mass, erosion, and verbosity across changes.
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。
Designs and audits native Android interfaces. Use when reviewing Compose layout, typography, color, motion, or adaptive patterns on a verified emulator build.
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。
Builds developer tools. Use when writing a codemod, SDK, CLI, language server (LSP), IDE extension, or package distribution; dependency audits go to dev-dependency-management.
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。
Guides secure blockchain development across EVM, Bitcoin, Solana, Cosmos, and TON. Use when building contracts, wallets, custody flows, bridges, or on-chain backends.
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。
Applies C# and .NET backend standards to ASP.NET Core APIs, EF Core, Dapper, and workers. Use when shaping API boundaries, data access, resilience, or observability.
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。