Use only when the user explicitly invokes `$ralph-specum`, requests Ralph Specum in Codex, asks Ralph Specum to handle a named phase, or explicitly requests autonomous or quick mode or continuation without pauses.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Use only when the user explicitly invokes `$ralph-specum`, requests Ralph Specum in Codex, asks Ralph Specum to handle a named phase, or explicitly requests autonomous or quick mode or continuation without pauses.
This skill should be used when generating spec artifacts (research.md, requirements.md, design.md, tasks.md), formatting agent output, structuring phase results, or when any Ralph agent needs guidance on concise, scannable output formatting. Applies to all Ralph spec phase agents.
This skill should be used when running an interactive interview before a spec phase, gathering requirements through dialogue, asking the user clarifying questions before delegating to a subagent, or when any Ralph phase command (research, requirements, design, tasks) needs adaptive brainstorming dialogue. Covers the 3-phase algorithm (Understand, Propose Approaches, Confirm and Store).
Spec-driven development transforms feature requests into structured specs through sequential phases, then executes them task-by-task.
Shared changelog conventions and formatting rules referenced by /create-changelog and /update-changelog. Not typically invoked directly.
Multi-turn consultation with Codex CLI. Maintains a conversation across multiple turns using session persistence, unlike single-shot `/codex-exec`.
Analyze what changed and generate a comprehensive test plan covering four escalating levels of testing depth.
Decompose a specification file into shells at `.turbo/shells/<spec-slug>-NN-<title>.md`. Each shell represents one unit of work for a separate Claude Code session.
Guide a collaborative discussion to explore a project idea, then synthesize the conversation into a comprehensive specification at `.turbo/specs/<slug>.md`.
Execute multi-level exploratory testing that goes beyond smoke testing to actively find bugs through escalating test scenarios.
Post-implementation QA workflow: tests, code polishing, commit, and self-improvement.
Identify dead code in a codebase. **Core rule: code only used in tests is still dead code.** Only production usage counts.
Execute an implementation plan file.
Systematic methodology for finding the root cause of bugs, failures, and unexpected behavior. Cycle through characterize-isolate-hypothesize-test steps, with oracle escalation for hard problems. Diagn
Deep architecture report. Fans out parallel inspections across different aspects of the codebase, synthesizes their findings, and writes `.turbo/codebase-map.md` and `.turbo/codebase-map.html`. Analys
Current layout: unexpanded shells live in `.turbo/shells/` with `spec:` and `depends_on:` frontmatter. Plans live in `.turbo/plans/` with `status:` (required) and optional `spec:` for provenance. This
Launch the app and hands-on verify that it works by interacting with it. Every smoke test is a concrete interaction with the running app: navigating a screen, clicking a control, filling a form, runni
Ship an approved split plan as separate branches, commits, and PRs.
Read the latest update instructions from the local repo and follow them.
Open the Claude Code Organizer dashboard — view and manage all memories, skills, MCP servers, hooks, and configs across scopes
Provides Playwright test patterns for resilient locators, Page Object Models, fixtures, web-first assertions, and network mocking. Must use when writing or modifying Playwright tests (.spec.ts, .test.ts files with @playwright/test imports).
Provides TypeScript patterns for type-first development, making illegal states unrepresentable, exhaustive handling, and runtime validation. Must use when reading or writing TypeScript/JavaScript files.
Fetches web content with intelligent content extraction, converting HTML to clean markdown. Use for documentation, articles, and reference pages http/https URLs.
pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.
Run project commands with just. Check for justfile in project root, list available tasks, execute common operations like test, build, lint. Triggers on: run tests, build project, list tasks, check available commands, run script, project commands.
Cross-language testing strategies and patterns. Triggers on: test pyramid, unit test, integration test, e2e test, TDD, BDD, test coverage, mocking strategy, test doubles, test isolation.
Create or update numbered task docs using repo context, DOC_TEMPLATE.md, and naming conventions.
Extract and persist insights from the current conversation to the knowledge base
Manually route a query to the optimal Claude model (Haiku/Sonnet/Opus)
Write, edit, and refactor code with full tool access - Use when you need to actually write or modify code, create files, run commands, or implement features.
Research documentation, find examples, explain APIs and libraries - Use when you need to look up official documentation, find code examples, understand library APIs, or research best practices.
Quickly search and navigate the codebase - Use when you need to quickly find files, search for patterns, or locate specific code without deep analysis.
Linear issue tracking integration - Create, update, and manage Linear issues and projects using the GraphQL API
Updated skill
Analyze images, screenshots, diagrams, and visual content - Use when you need to understand visual content like screenshots, architecture diagrams, UI mockups, or error screenshots.
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Claude Skills meta-skill: extract domain material (docs/APIs/code/specs) into a reusable Skill (SKILL.md + references/scripts/assets), and refactor existing Skills for clarity, activation reliability, and quality gates.
Conduct comprehensive deep research on any topic using Dify-powered workflow - searches documentation, academic papers, tutorials, APIs, best practices, and returns structured analysis with insights.
Understand binary structure and logic without execution. Map functions, trace data flow, decompile critical code.
Comprehensive guide for binary reverse engineering. This skill provides the overall methodology, philosophy, and reference material. Related skills handle specific phases:
Guides you through creating new CSS components following established patterns:
Transforms existing CSS into semantic component patterns:
This sub-skill guides adding new features to existing Firebase projects using TDD. It handles Cloud Functions, Firestore collections, and API endpoints.
This sub-skill validates existing Firebase code against proven patterns and security best practices. It checks configuration, rules, architecture consistency, authentication, testing, and production r
Scoring framework for test-kitchen cookoff and omakase-off. Invoked at Phase 4 to evaluate implementations using 5-criteria scoring. Do not invoke directly - called by cookoff/omakase-off.
Chef's choice exploration - when you're not sure WHAT to build, explore different approaches in parallel.