1.5천건 · 관련도순
Call this skill when faced with "wicked problems", complex challenges, or when a user asks for strategic innovation, root-cause analysis, or long-term problem solving. Do not use for simple, linear tasks. This skill forces the agent to bypass superficial symptoms, map the entire ecosystem, and anticipate second-order consequences before proposing an intervention.
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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.
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Preflight a spec draft without saving. Runs the same checks as the write-boundary hooks — PlantUML syntax, required diagram presence, AC-to-sequence traceability, Design calls quality floor, and System delta row resolution — and prints a compact pass/fail table. Use while iterating so the hooks don't bite on save.
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Orchestrates `impeccable` for every design task inside a workflow phase. Captures intent in natural language, classifies it (design / development / copy), translates design intents into a sequence of impeccable subcommand invocations, runs them in main context with state persistence at `.claude/state/design/<slug>.json`, and returns a structured report. ALWAYS invokes `impeccable` under the hood for the underlying design move; never picks aesthetic direction itself; never writes product code directly. Per CLAUDE.md Article X.2, all design tasks in workflow phases route through this skill.
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Cross-consistency review of a drafted spec's diagrams. Verifies that C4 components appear in the dependency graph, class-diagram changes have matching DDL, every AC resolves to a concrete sequence, and the dependency graph is acyclic. Read-only. Run after `/spec-lint` passes and before implementation.
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Generate production-ready manga pages, chapter pages, covers, and panel sequences with strict recurring-character consistency. Use this when the user asks for a manga page, manga scene, chapter page, comic page, storyboard page, or character-consistent page generation. Before generating any page, inspect `img-memory`, create missing character sprites/reference sheets, make those images visible to image generation, then generate the final manga page.
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Multi-angle review of responses before delivery. Audits from 4 perspectives -- factual accuracy, logical consistency, completeness, and safety. Use for high-stakes responses where errors have real consequences.
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Test a changed user interaction for realistic sequence failures such as double submission, stale responses, navigation, and recovery; use for interaction QA rather than general code review.
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Write scripts and programs against gatOS — the KSA mod that exposes live Kitten Space Agency simulation state as a 9P filesystem at /sim (also over HTTP /v1, MQTT, and an AI-oriented MCP server). Use this when asked to read game/celestial/vehicle telemetry, control vehicles (throttle, ignite, staging, attitude, burns, RCS, lights, docking), use game/debug controls (teleport, impulse kick, refuel, time-warp, switch vessel), direct the in-game camera / author cinematic shots and tracks, schedule timed command sequences, or write flight-computer / autopilot programs. Covers the full /sim catalog, the command model, KSA coordinate frames, and worked Bun/TypeScript + Rust examples.
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Learn from consequences, not instructions — generate and enforce constraints from experience.
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Expert-level chemical process safety covering HAZOP, LOPA, relief system design, consequence modeling, inherently safer design, and process safety management.
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Expert-level real analysis knowledge. Use when working with limits, continuity, differentiability, Riemann and Lebesgue integration, sequences and series of functions, metric spaces, measure theory, or functional analysis foundations. Also use when the user mentions 'epsilon-delta', 'uniform continuity', 'uniform convergence', 'Lebesgue integral', 'measure theory', 'sigma-algebra', 'Banach space', 'Hilbert space', 'completeness', 'compactness', 'Heine-Borel', or 'dominated convergence'.
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Use when generating, documenting, or updating architecture diagrams, flowcharts, sequence, ER, class, or state diagrams using Mermaid in docs/architecture/.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Go / no-go gate before any deployment. Checks failure modes, rollback plan, cost, production bar, and definition of done. Trigger before releasing to any environment that carries real consequences.
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Run the complete release workflow: changelog entry, version bump, git tag, and GitHub release. Invokes changelog-entry, tag-version, and publish in sequence. Use when releasing a new version of the project.
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Plan, order and deliver a batch of backlog items (e.g. every High item) in a Conventional Docs repo, one decision, branch, worktree, draft PR, review and merge per item. Use when asked to work through the backlog, implement all items of a priority, or sequence several backlog items end to end.
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Use when sequencing a launch — alpha / beta / GA waves, audience-by-wave logic, narrative beats per wave, engineering-readiness gates. Triggers on 'plan the launch', 'sequence GA'.
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Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.
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[Skill Management] Use when starting a detected workflow, initializing workflow state, or activating a workflow sequence.
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Quando o usuário quer criar ou otimizar uma sequência de email, drip campaign, fluxo de email automatizado ou programa de lifecycle email. Também use quando o usuário mencionar "sequência de email", "drip campaign", "sequência de nutrição", "emails de onboarding", "sequência de boas-vindas", "emails de reengajamento", "automação de email" ou "emails de lifecycle". Para onboarding in-app, veja onboarding-cro.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Quando o usuário quer escrever, reescrever ou melhorar copy de marketing para qualquer página — incluindo homepage, landing pages, páginas de preço, páginas de funcionalidade, páginas "sobre" ou páginas de produto. Também use quando o usuário disser "escreva copy para", "melhore essa copy", "reescreva essa página", "copy de marketing", "ajuda com headline" ou "copy de CTA". Para copy de email, veja email-sequence. Para copy de popup, veja popup-cro.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Quando o usuário quer otimizar onboarding pós-signup, ativação de usuários, experiência de primeira execução ou time-to-value. Use também quando o usuário menciona "fluxo de onboarding", "taxa de ativação", "ativação de usuários", "experiência de primeira execução", "empty states", "checklist de onboarding", "aha moment" ou "experiência do novo usuário". Para otimização de signup/registro, veja signup-flow-cro. Para sequências de email contínuas, veja email-sequence.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Publish a new Canvas Notebook release. Use this skill whenever the user asks to bump a version, prepare release notes, update CHANGELOG.md, create or push a git tag, publish a GitHub Release, deploy, or automate the release workflow. This skill covers the full release sequence for this repository: inspect commits/tags, push completed product-code commits first when authorized, confirm the pushed code has built on GitHub, choose the next calendar version, update package and CLI versions, update the changelog, run the required local build, commit, push the release commit, wait for the remote Build and Push worker on the pushed branch, tag, push the tag, and publish the release.
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Use this Canvas-owned clean-room skill when working with Remotion or React-based video generation. Trigger for Remotion projects, compositions, sequences, frame-based animation, rendering, captions, audio, video assets, templates, and debugging programmatic video output.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.