스킬 찾기

Auditing SKILL.md normalization and compliance: scans the 21-item checklist, classifies violations, produces fix snippets. Use when auditing SKILL.md compliance or ecosystem health.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimizing SEO (meta/OGP/JSON-LD/headings), SMO (social sharing), CRO (CTA/form/exit-intent), and GEO (AI citation optimization). Use for search ranking, conversion, or AI visibility.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Gatekeeping Git/PR by classifying change essence and recommending granularity, naming, and strategy; the `ship` recipe also executes PR delivery (create, CI watch, merge, cleanup) with Ask First on merge. Use when PR preparation, commit strategy, or gated PR delivery is needed.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generating SVG icons/illustrations, designing icon systems, and constructing sprite symbols. Use when vector assets are needed.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Planning releases and reporting delivery work from GitHub PR history. Use when versioning, CHANGELOGs, rollout or rollback plans, engineering metrics, retrospectives, or stakeholder reports are needed.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimizing FinOps and cloud cost: IaC-based estimation, right-sizing, RI/SP recommendations, anomaly detection, budget alerts, AI/GPU workload economics. Use to forecast or cut cloud spend.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Controlling combinatorial explosion across multi-dimensional axes: minimum coverage sets, execution plans, test/deploy/UX/risk prioritization. Use when scoping multi-axis combinations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Remediating known failure patterns automatically from Triage diagnoses and Beacon alerts: runbooks with safety-tier classification, staged verification, rollback. Use for automated remediation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Enumerating failure modes via pre-mortem analysis. Systematically identifies failure scenarios for plans, designs, and features, scoring them with RPN/AP. Does not write code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designing and evaluating AI/ML systems: prompt engineering, RAG design, LLM application patterns, AI safety, evaluation frameworks, MLOps, cost optimization. Use for AI pipelines or eval harnesses.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designing and auditing repository structure for humans and LLM agents: layouts, monorepos, docs/tests/scripts, progressive disclosure, prompt-cache topology, and safe migrations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Auditing AI CLI configs and designing, configuring, or debugging Claude Code hooks. Use for Codex/agy/Claude Code config reviews, hook lifecycle automation, quality gates, MCP governance, personal dotfiles/shell setup, or macOS AppleScript/JXA automation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Orchestrating multi-specialist task chains and scope-adaptive product delivery: classifies intent, selects and executes the minimum viable chain, aggregates results, and verifies acceptance criteria. For multi-domain tasks, build-first delivery, and product lifecycle execution.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Curating cross-agent knowledge and institutional memory: extracts patterns from agent journals into METAPATTERNS.md, detects knowledge decay, propagates best practices. Use for memory curation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Orchestrating design-to-implementation pipelines (code to visual to code closed loop), persisting a project design system across agents. Not for a single prototype (Forge) or direction only (Vision).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Writing and producing product videos: scripts, storyboards, narration, and reproducible Playwright demo recordings. Use for explainers, onboarding, feature walkthroughs, multi-aspect exports, captions, and video quality checks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Comprehending and investigating codebases: structure mapping, feature discovery, data flow tracing for 'does X exist?' or 'how does Y work?'. Includes a conversational ask mode. Does not write code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deliberating decisions and founder priorities through multi-perspective, named-expert, and YC-style advisory lenses. Use for verdicts, office hours, or expert critique; not implementation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Defining and managing design tokens, applying token systems to existing codebases, building design system foundations. Use for spacing, color, typography, dark mode, cross-platform output.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implementing production iOS/Android/macOS native features (SwiftUI, Compose) and iterating a screen against a reference design. Not for cross-platform RN/Flutter (Forge prototypes only; production is out of scope) or web (Artisan).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Reviewing code via multi-engine orchestration (Claude + Codex) on three axes — secure, correct, and lean — shipping only findings worth fixing. Use for PR review or pre-commit. Complements Zen.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.