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Found 1,374 Skills
Prevents premature execution on ambiguous requests. Analyzes request clarity using 5W1H decomposition, surfaces hidden assumptions, and generates structured clarifying questions before work begins. Use at the start of any non-trivial task, or when a request could be interpreted multiple ways. Triggers on "뭘 원하는건지", "요구사항 정리", "clarify", "what exactly", "scope", "requirements", "정확히 뭘", "before we start".
Audit Go module dependencies: detect outdated packages, check for known vulnerabilities, review go.mod hygiene, identify unused or redundant deps, and evaluate dependency quality. Use when auditing dependencies, checking for CVEs, cleaning up go.mod, upgrading modules, or evaluating third-party packages. Trigger examples: "check dependencies", "audit deps", "go.mod review", "update modules", "vulnerability scan", "govulncheck". Do NOT use for code-level security issues (use go-security-audit) or architecture review (use go-architecture-review).
Create HTML technical documentation with code blocks, API workflows, system architecture diagrams, and syntax highlighting. Use when users request technical documentation, API docs, API references, code examples, or developer documentation.
Provides exact Enzyme → React Testing Library migration patterns for React 18 upgrades. Use this skill whenever Enzyme tests need to be rewritten - shallow, mount, wrapper.find(), wrapper.simulate(), wrapper.prop(), wrapper.state(), wrapper.instance(), Enzyme configure/Adapter calls, or any test file that imports from enzyme. This skill covers the full API mapping and the philosophy shift from implementation testing to behavior testing. Always read this skill before rewriting Enzyme tests - do not translate Enzyme APIs 1:1, that produces brittle RTL tests.
This skill should be used when a developer wants to autonomously execute all tasks under a fully-specified Epic or Feature — for example "go", "start building", "implement everything", "run the loop", "execute the feature", "build it all", "kick it off". Requires that the Epic/Feature/Task tree is fully written before starting. Chains implement → verify → PR for every task in dependency order, with targeted human-in-the-loop gates for contradictions and ambiguities.
This skill should be used when a user wants to create a task, write a ticket, decompose a feature into implementable work, break down a story, define a vertical slice for development, or write Gherkin scenarios — for example "create a task", "write a task for this feature", "break this feature into tasks", "define implementation work", or "add a sub-issue to this feature". Guides creation of a GitHub Task issue linked to a parent Feature and Epic, derives Gherkin acceptance scenarios from the Feature's ACs, enforces DDD ubiquitous language in scenarios, and checks for vertical-slice integrity and task dependencies.
Turn a completed experiment iteration into an honest, evidence-backed analysis — a markdown report and a portable data dump. Pulls run data via the tpc CLI, scores each task, clusters friction by root cause (with a transcript example per claim), compares arms, and closes on agent-readiness gaps. The natural companion to setup-experiment: setup → run → analyze. Trigger when users say: "analyze my experiment", "write the report", "experiment report", "analyze the results", "summarize the runs", "what happened in this iteration", "friction report", or "report gen".
Animation components and utilities for Remotion video projects. Use when building Remotion compositions with text animations, gradient transitions, particle effects, 3D scenes, or staggered motion effects. Provides example bits (complete compositions) and reusable components that can be installed via jsrepo.
A skill that analyzes 18-month scenarios using news headlines as input. The main analysis is performed by the scenario-analyst agent, and a second opinion is obtained from the strategy-reviewer agent. Generates a comprehensive report in Japanese including primary, secondary, tertiary impacts, recommended stocks, and reviews. Example usage: /scenario-analyzer "Fed raises rates by 50bp" Triggers: news analysis, scenario analysis, 18-month outlook, medium-to-long-term investment strategy
Generates ready-to-run cURL commands from Express, Next.js, Fastify, or other API routes. Creates copy-paste commands with proper headers, authentication, and request bodies. Use when users request "generate curl commands", "curl examples", "api curl", or "command line api testing".
Use Convex Components to add isolated backend features and compose component APIs. Use for installing components, calling component APIs, authoring components, and handling component-specific constraints (Id types, env vars, pagination, auth). Use proactively when users mention components, workpool, workflow, agent component, or reusable backend modules. Examples: - user: "Install the Agent component" → add convex.config.ts + use() + components API - user: "Call component functions" → ctx.runQuery(components.foo.bar, args) - user: "Build a component" → defineComponent, schema, _generated, packaging - user: "Expose component API to clients" → re-export functions with auth
Use when clarifying fuzzy boundaries, defining quality criteria, teaching by counterexample, preventing common mistakes, setting design guardrails, disambiguating similar concepts, refining requirements through anti-patterns, creating clear decision criteria, or when user mentions near-miss examples, anti-goals, what not to do, negative examples, counterexamples, or boundary clarification.