1.4万 件 ・ 関連度順
概要と使いどころ
Toggle the badges-page Honesty Mode build-time flag on or off. ON makes the README badge generator emit direct /badges/_assets/<handle>/<file>.svg URLs (no Cloudflare Worker, no ?repo= validation). OFF restores worker-validated URLs. Use when the user says "/honesty-mode on", "/honesty-mode off", "turn honesty mode on/off", or asks for the current honesty-mode 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。
Use this skill when the user wants to turn code graph analysis into tracked GitHub issues — "audit the architecture", "find god nodes", "triage architectural debt", "run graphify and log issues", "what's over-coupled in this codebase", "create issues from graphify findings", "check for structural problems", "scan for architectural smells", or any request that combines codebase topology analysis with issue tracking. This skill runs graphify to build a dependency graph, parses GRAPH_REPORT.md for god nodes and structural patterns, converts findings into GitHub issue payloads, and optionally pushes them to the repo. It bridges static analysis and project management in a single automated pass. Requires graphify and gh CLI.
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。
Interview the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.
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。
Phase 1 of the Gaia evidence verification pipeline. Use this skill whenever you need to gather, consolidate, or refresh raw evidence for named skills in the registry. Trigger phrases: "collect evidence", "populate the data lake", "gather sources", "run ev-collection", "Phase 1", "compile the evidence index", "refresh the unified lake", "aggregate skill evidence", "build the evidence database". Also invoke as the first step before running ev-star-verification, ev-adversarial-audit, or ev-link-validation — nothing downstream is meaningful without a fresh, compiled index. Covers GitHub repo links, stargazer signals, YouTube showcases, arXiv papers, peer reviews, benchmark results, blog/newsletter posts, and self-attestation artifacts.
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。
Produce the rendered evidence a human-gated frontend PR owes its reviewer: capture each changed surface (plus the before state for anything modified, plus mobile width), then generate one self-contained local HTML page the founder can open and review without checking anything out. Use when a PR is gated by the "Frontend changes are HUMAN-GATED" section of CLAUDE.md, or when the user says "/design-gate", "screenshot evidence for this PR", "prep this for founder review", "build the design evidence page", "what does this look like before and after". The page comes from a template script, not hand-written markup. Output is session-local and never committed. Do NOT use for non-gated changes: typo/grammar/factual fixes in an unchanged block, dead link targets, alt/ARIA fixes with no visual change, cache-bust bumps, or refactors with no rendered diff.
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。
Firecrawl gives AI agents and apps fast, reliable web context with strong search, scraping, and interaction tools. One install command sets up three skill segments: live CLI tools, app-integration build skills, and outcome-focused workflow skills. Route the reader to the right usage path after install.
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。
Fuse all of a contributor's named skills into a single fusion node (suite capstone) in the registry. Use when the user says "fuse <contributor>'s skills", "create a suite for <contributor>", "build a capstone for <user>", "fuse all of <user>'s named skills", "create a suite fusion", "consolidate <contributor> into one skill", or explicitly types /gaia-fuse-full-suite. Also triggers when a contributor has accumulated 3+ named skills and the user asks what to do next with them, or when someone asks "can we make a suite from these?". This skill: collects component IDs from registry/named/<contributor>/, verifies nodes exist, researches evidence and appraises Trust Magnitude, runs `gaia dev fuse` to write the fusion node and suite manifest, validates, and opens a PR on a review/meta/ branch.
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 this skill whenever the user wants to see how their branch will look on the live Gaia website before merging — "preview this branch", "show me what this looks like", "deploy a preview", "trigger a design preview", "can I see the site with these changes", "preview the skill profile", "check how this renders on the site", "spin up a preview deployment". This skill dispatches a Cloudflare Worker preview deployment for the current branch via GitHub Actions — no local build tooling required. Ideal for containerized environments, design reviews, and confirming that newly curated skills or profile pages render correctly before a PR is merged to main. The preview does NOT regenerate docs; it deploys `docs/` from the branch as-is. If your change depends on regenerated Class S artifacts, run `gaia dev docs` and commit those first — the preview then reflects them.
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 financial models — revenue forecasts, unit economics, scenario analysis, and investor-grade spreadsheets.
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 HTML emails that render everywhere: table layouts, MJML, dark mode, testing, and deliverability basics. Use for transactional and marketing email.
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 email marketing end-to-end — list building, campaigns, automation flows, deliverability, and performance optimization.
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 excellent web forms: UX patterns, validation, accessibility, multi-step flows, and file uploads. Use for any form beyond trivial inputs.
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 with the Falcon open models — UAE's TII models with strong multilingual and efficient architectures.
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 evaluation frameworks for LLM systems — harness design, graders, datasets, regression tracking, and human-in-the-loop eval. Use when you need systematic measurement of model or agent quality.
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。
Work with text embeddings — choosing models, pooling, similarity measures, evaluation, and multilingual considerations. Use when building semantic search, clustering, or any similarity-based feature.
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 rich visualizations with Apache ECharts: option config, dataset transforms, large-data performance, and custom rendering. Use for complex dashboards and big datasets.
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 with DeepSeek's models — efficient open-weight reasoning models and low-cost API inference.
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。
Elasticsearch search and analytics — mappings, queries, and cluster health — use when building search or log analytics.
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 discernment habits: nudges and checklists for evaluating claims, spotting manipulation, and thinking clearly under pressure. Use when you want better judgment about what to believe and share.
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。
Docker guidance — Dockerfile best practices, multi-stage builds, Compose, networking, volumes, and image security.
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 and govern scalable design systems with tokens, components, documentation, and adoption strategy.
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 with DeepSeek Coder — open code models with strong reasoning and long-context code understanding.
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。
End-to-end testing mastery: critical journeys, Playwright/Cypress patterns, flakiness control, and CI integration. Use when building or fixing browser E2E suites.
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 e-commerce storefronts: product catalog, cart, checkout, payments, and post-purchase flows. Use for online stores and marketplaces.
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。