2,891 件 ・ 関連度順
概要と使いどころ
Route repository-qualified changes across Pulp and Vellum using Pulp's exact ownership projection. Use when a change touches design import, Chromium authoring, DesignIR, visual harness, screenshot, Skia/Dawn, runtime assets, or another path represented by `.github/vellum-ownership.json`; when deciding whether work originates in Pulp or Vellum; or when validating the cross-repository routing contract.
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。
全量搜索外部 Skill/Agent/Rule 仓库，必须执行7维度协议，禁止以少于7维度的搜索声称「全量完成」。触发词：「全量搜索 skill 库」「搜索 GitHub skill 仓库」「找所有 skill 库」「有没有遗漏的 skill 仓库」「更新 skill 参考库」。
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。
DevOps/运维角色。关键词：部署/上线/CI-CD/服务器/Docker/nginx/SSL/域名/端口/监控/GitHub Actions。接收测试通过报告后执行部署，维护生产环境，监控AI调用成本。
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 current conversation context into a structured Product Requirements Document (PRD) and optionally post it to GitHub Issues. Use before /supergraph:plan when requirements came from a conversation, user story, or feature discussion rather than a formal spec.
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 the test framework and CI/CD pipeline for the project's engine. Creates the tests/ directory structure, engine-specific test runner configuration, and GitHub Actions workflow. Run once during Technical Setup phase before the first sprint begins.
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。
Create a well-structured GitHub PR with proper branching, testing, formatting, and documentation. Use when the user says "create a PR", "make a PR", "open a pull request", or wants to submit changes for review. Handles the full workflow: branch creation, implementation, testing, formatting, committing, and PR creation with comprehensive descriptions.
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。
Analyze branch changes and generate a fully filled PR description ready to paste into GitHub
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 or migrate a repository onto release-please. Generates release-please-config.json, .release-please-manifest.json, and a release-please.yml workflow, plus an opt-in menu of tag-keyed deploy/publish templates (Docker/ECR matrix, frontend host deploy, npm OIDC publish, GitHub Release asset, Fly.io deploy, generic). Supports monorepo (mutual exclude-paths matrix), single-package, and mixed-language (node/simple/python) repos. Use when user runs /release-please-setup, mentions "release please", "set up release please", "automate releases", "conventional-commit releases", "monorepo release automation", or "migrate to release-please".
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。
Security-focused code review identifying high-confidence exploitable vulnerabilities with two-axis severity/confidence scoring, OWASP 2025 alignment, per-finding Haiku verification, and false positive filtering. Optional GitHub PR posting. Use when user runs /security-review, /review:security-review, requests a "security review", "security audit", "vulnerability scan", or mentions "find vulnerabilities", "check for exploits".
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。
Automate semantic versioning releases with CHANGELOG validation, comparison link management, GitHub Actions workflow triggering, and monitoring. Scaffold release infrastructure for new projects. Use when user runs /release command, mentions "release version", "cut a release", "create release", "publish release", "tag release", "release setup", or "scaffold release pipeline".
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。
Analyzes git commit history and generates professional changelogs with semantic versioning, conventional commit support, and multiple output formats (Keep a Changelog, Conventional, GitHub). Use when editing CHANGELOG.md, CHANGELOG.txt, or HISTORY.md files, preparing release notes, creating releases, bumping versions, updating changelog, documenting changes, writing release notes, tracking changes, version bump, tag release, or when user mentions "changelog", "release notes", "version history", "release", "semantic versioning", or "conventional commits".
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 wants to deploy a local directory or GitHub repository to Volcengine and needs the project analyzed, the app shape understood, and a ranked recommendation across ECS, VKE, and veFaaS before choosing an execution path. Also trigger when the user asks "what deploy mode should I use", "is this repo ready for Volcengine", or "check my repo before deploying". This skill prepares the decision; `volcengine-deploy` skill performs the chosen deployment, and `volcengine-iac` skill is used only when the user chooses Terraform/IaC or the task already has an IaC workflow.
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。
Create, run, and maintain API test collections using Bruno (OpenCollection YAML format and legacy Bru format). Use when the user wants to: (1) create a Bruno API test collection from scratch or from OpenAPI/Swagger specs, (2) write API request files with tests and assertions, (3) run API tests using bru CLI, (4) generate test reports (HTML, JUnit, JSON), (5) set up CI/CD pipelines (GitHub Actions) for automated API testing, (6) debug or fix failing Bruno API tests, (7) add environment configurations for API testing, (8) chain API requests with data extraction, or (9) work with any .yml/.bru Bruno collection files. Triggers on mentions of 'Bruno', 'bru CLI', 'API testing collection', 'OpenCollection', or requests to automate API testing with file-based collections.
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。
Generate comprehensive OpenSpec specifications directly from the current project state. Use when the user wants to create or populate main specs by analyzing existing code, documentation, AGENTS.md, GitHub issues, and pull requests — without going through the change/proposal workflow. Ideal for bootstrapping specs on a project that already has working code but no specs yet, or for refreshing specs to match the current implementation.
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。
Comprehensive guide for building, configuring, customizing, and deploying Docsify documentation sites. Use when the user wants to (1) initialize a new Docsify site, (2) add or organize Markdown pages, sidebars, navbars, or cover pages, (3) configure `window.$docsify` options, (4) customize themes / CSS variables / fonts, (5) install built-in or third-party Docsify plugins (search, GA, emoji, zoom, copy-code, comments, pagination, tabs, etc.), (6) write a custom Docsify plugin using lifecycle hooks, (7) use Docsify Markdown helpers (callouts, link attributes, image attributes, heading IDs, task lists, embed files with `:include`), (8) deploy to GitHub Pages, GitLab Pages, Netlify, Vercel, Firebase, Docker, Nginx, etc., (9) enable PWA / offline mode, virtual routes, or Vue compatibility, or (10) upgrade a Docsify site from v4 to v5. Triggers on mentions of "docsify", "_sidebar.md", "_navbar.md", "_coverpage.md", "$docsify", or `docsify-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。
Write engaging PR titles and descriptions for any forge (GitHub today; Bitbucket planned). Use when creating or updating PRs. Leads with narrative paragraphs and reaches for lists, tables, and diagrams when content is genuinely structured.
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。
Bootstraps Flux CD on Kubernetes clusters, creates and manages GitOps sources (Git/Helm/OCI/Bucket), configures kustomizations and Helm releases, reconciles resources, sets up image automation and alerting, and pushes OCI artifacts. Use this skill whenever the user mentions the flux CLI, flux bootstrap, flux create source, flux create kustomization, flux create helmrelease, flux reconcile, flux get, Flux CD, GitOps with Flux, or asks about managing Kubernetes deployments via GitOps. Also trigger when users ask about creating Git/Helm/OCI/Bucket sources, building or diffing kustomizations, pushing OCI artifacts, setting up image automation, creating Flux alerts/receivers, or bootstrapping Flux on GitHub/GitLab/Gitea/Bitbucket. Even if the user just says "flux" in a Kubernetes context, this skill applies.
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 creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, standardizing agent documentation, or when anyone mentions AGENTS.md, agent rules, project onboarding, or codebase documentation for AI 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。
Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing applications, managing infrastructure as code, deploying to Kubernetes clusters, configuring cloud platforms, automating releases, or responding to production incidents. Invoke for pipelines, Docker, Kubernetes, GitOps, Terraform, GitHub Actions, on-call, or platform engineering.
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。
Synthesises the current conversation context into a Product Requirements Document and publishes it to GitHub (as a comment on a referenced issue, or a new issue). Synthesises from context; does not interview. TRIGGER when: the conversation has produced enough understanding of a feature and the user wants it captured as a PRD. DO NOT TRIGGER when: a single small issue is enough → creating-issues; the idea has not been stress-tested yet → grilling-ideas first; bug reports.
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。
Detect Git remote URL for GitHub integration
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。
Turns a single feature idea, improvement, or bug into ONE well-structured GitHub issue. TRIGGER when: the user wants to file/open/create an issue, turn a feature idea or improvement into a ticket, or capture something missing or broken as a ticket. DO NOT TRIGGER when: breaking work into multiple issues or planning a body of work → a planning skill; writing a full Product Requirements Document → creating-prd; the idea is still fuzzy and unhardened → grilling-ideas first.
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 existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design 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。
Create custom modules for [Harbor Boost](https://github.com/av/harbor/tree/main/boost), an optimizing LLM proxy. Use when building Python modules that intercept/transform LLM chat completions—reasoning chains, prompt injection, structured outputs, artifacts, or custom workflows. Triggers on requests to create Boost modules, extend LLM behavior via proxy, or implement chat completion middleware.
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。