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概要と使いどころ
Canon TDD for humans and AI agents. Use for production code changes by writing tests first, proving RED, implementing minimal GREEN, and refactoring safely. 2026 edition adds TDP, flakiness gate, ralph-loop integration, memory-search in Step 0, PBT as Step 5.5, mutation testing gate in Step 4, and CJS LSP warning.
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。
Research best practices and synthesize into design decisions for artifact creation. Invoke BEFORE any creator skill to ensure research-backed decisions.
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。
Workflow recovery protocol for resuming workflows after context loss, session interruption, or errors. Handles state reconstruction, artifact recovery, and seamless workflow continuation.
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。
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
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。
Verifies implementation plan quality across 8 dimensions (requirement-coverage, task-completeness, dependency-validity, scope-sanity, artifact-wiring, risk-assessment, testability, estimation-quality) and returns pass/fail with per-dimension scores.
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。
Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating incidents, or performing malware analysis from RAM captures.
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。
Validate whether a proposed new artifact is feasible in the current stack before creator workflows 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。
Context-Driven Development methodology - treating project context as managed artifacts alongside code for consistent AI interactions and team alignment.
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。
Code quality expert including clean code, style guides, and refactoring
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。
Azure DevOps integration covering pipelines, boards, repos, artifacts, and work item management via Azure CLI and REST API
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。
Return the stored rendered result for the latest or selected terminal Kimi job. Use when the user explicitly asks for a Kimi job result or artifact body.
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。
Git-native issue tracking (beads), coding guidelines, knowledge injection, and spec-driven planning for AI agents. Drop-in replacement for bd/Beads with simpler architecture. Use for: tracking issues/beads with dependencies, creating bugs/features/tasks, planning specs, implementing features from specs, code reviews, committing code, creating PRs, loading coding guidelines (TypeScript, Python, TDD, golden testing, Convex, monorepo patterns), code cleanup, research briefs, architecture docs, agent handoffs, and checking out third-party library source code. Invoke when user mentions: tbd, beads, bd, shortcuts, issues, bugs, tasks, features, epics, todo, tracking, specs, planning, implementation, validation, guidelines, templates, commit, PR, pull request, code review, testing, TDD, test-driven, golden testing, snapshot testing, TypeScript, Python, Convex, monorepo, cleanup, dead code, refactor, handoff, research, architecture, labels, search, checkout library, source code review, or any workflow shortcut.
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 boilerplate `# implements:` annotation for a function based on the artefact ID, inserting it as the first line of the function body.
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 Programme phase gate validator (requirements / design / test / code) against docs/specs/<feature-id>/. Block on missing artefact or broken cross-phase reference.
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。
Guide the team through writing a change-impact record for IEC 62304 / FDA / ISO 26262 ASIL C+ projects. Surfaces the affected REQ/DES/TEST/CODE artefacts and captures human-attested verification approach.
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。
Dispatch a structured cross-phase review of a phase artefact. MANDATORY for design-spec and test-spec; the gate validator checks for the resulting review record before passing. Recommended for requirements-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。
Implement and execute approved research Experiment, Tuning, or Design Cards with reproducible logs, metrics, environment, and artifacts. Use for bounded coding, debugging, and runs; not for changing claims, priorities, budgets, or the Research Spine.
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。
Agent Brain /brain-verify: after build or when evaluating an existing artifact.
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。
Agent Brain /brain-ship: a reviewed artifact is ready for release or publication.
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。
Exposes Claude's reasoning chain as an auditable, decomposable artifact. Quick mode (default) gives assumption inventory + weakest-link in 2 stages. Full mode (--full) adds decision branching, confidence decomposition, and falsification conditions. Triggers on "왜 그렇게 생각해", "reasoning", "근거", "show your work", "어떻게 그 결론이", "trace", "판단 근거", "why do you think that".
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。
Codex-led multi-model workflow (Codex + Claude + Gemini). Use when the user asks to run `synapse <cmd> ...` to generate draft diffs/audits and persist artifacts to `./.synapse/**`.
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。
Audits websites for AI search visibility (GEO/SEO) and generates deployable artifacts (llms.txt, schema JSON-LD, robots.txt). 7-dimension scorecard tailored by site type and size, grounded in Princeton KDD 2024, Toronto 2025, and ICLR 2026 research. This skill should be used when optimizing for ChatGPT, Perplexity, Google AI Overviews, or other AI search engines. Also triggered by queries about AI search optimization, generative engine optimization, llms.txt, AI crawler configuration, schema markup for AI, citation optimization, or Google AI Mode.
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 editorial documentation sites with the Vellum design system — OKLCH palette, Bodoni Moda / Source Serif 4 / Inconsolata typography, warm or dark space theme, 35 semantic components (state cards, parity matrices, entity dossiers, stat stacks, utterance blocks, editorial notes, entity flows, fact blocks, sub-navigation, source lists, debugger panels, ring visualizations, phase timelines, glossaries, subject-intro, stat-bar, hero-image with lightbox, gallery/masonry grid, audio player with Web Audio API). Static HTML, zero build step. Use when building competitive intelligence pages, personal archives, internal documentation, roadmaps, or multi-page static sites that need a designed, non-generic aesthetic.
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。
Apply React and Next.js performance optimization guidelines from Vercel Engineering — 40+ rules covering components, data fetching, bundle optimization, and rendering. Triggers on React components, Next.js pages, bundle optimization, performance improvements, refactoring React 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。