Use when a design or set of requirements exists and work needs decomposing into tasks, before touching any 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。
1.6万 件 ・ 関連度順
Use when a design or set of requirements exists and work needs decomposing into tasks, before touching any 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。
Delegate a bounded repository task to an allowlisted external coding CLI through the guarded Flow runner. Use for automatic provider selection or explicit Codex, OpenCode, Kimi, Gemini, or Kiro delegation that requires timeout handling and independent local review.
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 an approval-gated product requirements document or decompose an approved PRD into a traceable roadmap. Use for product-level problems, new initiatives, multi-feature scope, PRDs, release outcomes, or roadmap planning.
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 an approval-gated feature specification from approved requirements. Use when PWDEV Flow discovery is complete and the user needs architecture decisions, component boundaries, quality constraints, and a definition of done.
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 status, progress, completeness, traceability, or next valid action of a PWDEV Power product roadmap is 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。
Launch, inspect, and tear down autonomous phase fleets in isolated Git worktrees, on the Codex or the Claude runtime. Use when approved Flow phase slugs should run in parallel, when fleet status is requested, or when a fleet member must be stopped or explicitly merged.
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 hands over a GitHub issue to be delivered end to end — 'resolver a issue #42', 'loop na issue 42', 'deliver issue https://github.com/o/r/issues/42' — or when an Orca worker preamble dispatches `feat-loop #N`. Turns the issue into a plan, executes it, reviews the result and runs at most 2 fix cycles until APPROVED, then opens a pull request that closes the issue. Never merges. Do NOT use without an issue (feat-feature / feat-quick), to only plan (feat-feature), to only review (feat-review) or to execute an existing plan (feat-exec).
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。
Deploy and optimize applications on Vercel with preview deployments, edge functions, environment variables, and performance monitoring. Use when deploying Next.js applications, setting up preview deployments per pull request, configuring environment variables, using Vercel Edge Functions, optimizing build performance, implementing redirects and rewrites, configuring custom domains, or monitoring application performance with Vercel 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。
Prepare or update a Fabric pull request by proving the changeset-or-skip decision, validation evidence, DCO sign-off, and public-safe PR metadata. Use before the first push, after later revisions, or when asked to create or update a PR. Do not use to review an unrelated PR or authorize relay.
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。
Implement comprehensive security patterns to protect applications against OWASP Top 10 vulnerabilities including XSS, CSRF, SQL injection, authentication bypass, and data exposure. Use when handling user data, implementing authentication and authorization, validating input, encrypting sensitive data, preventing injection attacks, securing API endpoints, managing sessions and tokens, implementing rate limiting, configuring security headers, or building security-critical features that require defense-in-depth protection.
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。
Implement test-driven development (TDD) workflow using the red-green-refactor cycle. Use when writing new features, fixing bugs, or refactoring existing code. Always write the failing test first, then implement minimal code to pass, then refactor. Essential for ensuring code reliability, preventing regressions, improving design through testability requirements, documenting expected behavior through tests, enabling confident refactoring, and maintaining high code quality standards throughout the development process.
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 browser testing, web scraping, and user workflow testing with Playwright across multiple browsers. Use when writing end-to-end tests for web applications, automating repetitive browser tasks, scraping data from websites, testing across Chrome/Firefox/Safari, taking screenshots for visual regression testing, testing authentication flows, filling and submitting forms programmatically, testing responsive designs across viewports, or any browser automation requiring reliable, cross-browser testing capabilities.
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。
Implement real-time features using Convex reactive queries that automatically update when data changes, enabling live collaboration, instant updates, and reactive UIs without manual polling. Use when building live dashboards, implementing collaborative editing, creating chat applications, showing real-time notifications, building activity feeds, implementing presence indicators, creating reactive search, or any feature requiring instant data synchronization across clients.
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。
Manage source control effectively with Git including branching strategies, commit conventions, merge conflict resolution, rebasing, and collaboration workflows like GitHub Flow or GitFlow. Use when managing feature branches, creating meaningful commits, resolving merge conflicts, rebasing branches, squashing commits, using interactive rebase, implementing branch naming conventions, following commit message standards, managing pull requests, or collaborating in team environments.
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。
Systematically review pull requests, feature implementations, and code changes to ensure quality, maintainability, security, and adherence to best practices. Use when reviewing code before merging, conducting peer reviews, performing self-reviews, auditing code quality, checking for security vulnerabilities, ensuring consistent coding standards, verifying test coverage, assessing performance implications, evaluating architectural decisions, or providing constructive feedback to improve team code 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。
Build real-time, reactive backend applications with Convex using TypeScript queries, mutations, and actions with automatic reactivity and optimistic updates. Use when building real-time collaborative applications, implementing reactive data synchronization, writing serverless backend functions, creating queries that auto-update, implementing mutations with transactional guarantees, handling file uploads with Convex storage, implementing authentication with Convex Auth, designing reactive database schemas, or building applications requiring instant data synchronization.
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 changelogs from Git history, commit messages, pull requests, and issue tracking for release documentation. Use when preparing releases, documenting changes, creating release notes, categorizing commits, generating version summaries, maintaining project history, or automating changelog updates.
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 clean, scalable, and maintainable REST and GraphQL APIs following industry best practices. Use when designing public or internal APIs, planning endpoint structures, defining request/response contracts, establishing versioning strategies, implementing authentication patterns, designing data models, creating API documentation, ensuring consistent error handling, optimizing for performance, or establishing service contracts between microservices.
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 the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," "CTA copy," "value proposition," "tagline," "subheadline," "hero section copy," "above the fold," "this copy is weak," "make this more compelling," or "help me describe my product." Use this whenever someone is working on website text that needs to persuade or convert. For email copy, see email-sequence. For popup copy, see popup-cro. For editing existing copy, see copy-editing.
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 the user wants help with revenue operations, lead lifecycle management, or marketing-to-sales handoff processes. Also use when the user mentions 'RevOps,' 'revenue operations,' 'lead scoring,' 'lead routing,' 'MQL,' 'SQL,' 'pipeline stages,' 'deal desk,' 'CRM automation,' 'marketing-to-sales handoff,' 'data hygiene,' 'leads aren't getting to sales,' 'pipeline management,' 'lead qualification,' or 'when should marketing hand off to sales.' Use this for anything involving the systems and processes that connect marketing to revenue. For cold outreach emails, see cold-email. For email drip campaigns, see email-sequence. For pricing decisions, see pricing-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。
When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' 'ideas to grow,' 'what else can I try,' 'I don't know how to market this,' 'brainstorm marketing,' or 'what marketing should I do.' Use this as a starting point whenever someone is stuck or looking for inspiration on how to grow. For specific channel execution, see the relevant skill (paid-ads, social-content, email-sequence, etc.).
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。
Self-tuning question sensitivity + developer psychographic for gstack (v1: observational). Review which AskUserQuestion prompts fire across gstack skills, set per-question preferences (never-ask / always-ask / ask-only-for-one-way), inspect the dual-track profile (what you declared vs what your behavior suggests), and enable/disable question tuning. Conversational interface — no CLI syntax required. Use when asked to "tune questions", "stop asking me that", "too many questions", "show my profile", "what questions have I been asked", "show my vibe", "developer profile", or "turn off question tuning". (gstack) Proactively suggest when the user says the same gstack question has come up before, or when they explicitly override a recommendation for the Nth time.
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。
Pull data from a web page. First call on a new intent prototypes the flow via $B primitives and returns JSON. Subsequent calls on a matching intent route to a codified browser-skill and return in ~200ms. Read-only — for mutating flows (form fills, clicks, submissions), use /automate. Use when asked to "scrape", "get data from", "pull", "extract from", or "what's on" a page. (gstack)
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。
Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. Surfaces taste decisions (close approaches, borderline scope, codex disagreements) at a final approval gate. One command, fully reviewed plan out. Use when asked to "auto review", "autoplan", "run all reviews", "review this plan automatically", or "make the decisions for me". Proactively suggest when the user has a plan file and wants to run the full review gauntlet without answering 15-30 intermediate questions. (gstack) Voice triggers (speech-to-text aliases): "auto plan", "automatic review".
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。