Claude Skills by sangrokjung

github.com/sangrokjung

33 skillsA× 32B× 10 installs92 views

Build SystemA프로젝트 빌드 시스템 자동 감지 및 실행 스킬toolspythongoVotes: 0GitHub stars: 822
Cache ComponentsAExpert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If ...developmenttypescriptgoVotes: 0GitHub stars: 822
Cc Dev AgentAClaude Code 개발 워크플로우 최적화. Context Engineering, Sub-agents, TDD, 개발 후 검증 워크플로우 제공. 트리거: CC 프로젝트 시작, CLAUDE.md/spec.md 작성, /handoff /verify /commit-push-pr, sub-agent/Explore, Agent Teams 병렬 개발 요청 시.toolsbashgitVotes: 0GitHub stars: 822
Continuous Learning V2AInstinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.toolsbashtestingVotes: 0GitHub stars: 822
Debugging StrategiesAMaster systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.developmentjavascripttypescriptVotes: 0GitHub stars: 822
Dependency UpgradeAManage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.developmentjavascripttypescriptVotes: 0GitHub stars: 822
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Eval HarnessAFormal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principlestoolsgobashVotes: 0GitHub stars: 822
Evaluating Code ModelsBEvaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.testingjavascripttypescriptVotes: 0GitHub stars: 822
Evaluating Llms HarnessAEvaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.testingpythonbashVotes: 0GitHub stars: 822
Extract ErrorsAUse when adding new error messages to React, or seeing "unknown error code" warnings.toolsreactVotes: 0GitHub stars: 822
Frontend Code ReviewATrigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules.toolsgoreactVotes: 0GitHub stars: 822
Manage SkillsA세션 변경사항을 분석하여 검증 스킬 누락을 탐지합니다. 기존 스킬을 동적으로 탐색하고, 새 스킬을 생성하거나 기존 스킬을 업데이트한 뒤 프로젝트 CLAUDE.md를 관리합니다.toolsgobashVotes: 0GitHub stars: 822
Prompts ChatA스킬/프롬프트 탐색 및 검색 통합 스킬. 사용자가 스킬 설치, 프롬프트 검색, 프롬프트 개선을 요청할 때 활성화.toolsgobashVotes: 0GitHub stars: 822
Security ComplianceAGuides security professionals in implementing defense-in-depth security architectures, achieving compliance with industry frameworks (SOC2, ISO27001, GDPR, HIPAA), conducting threat modeling and risk assessments, managing security operations and incident response, and embedding security throughout the SDLC.securityrustgoVotes: 0GitHub stars: 822
Security PipelineA보안 파이프라인 - CWE Top 25 + STRIDE 자동 검증toolsshellsqlVotes: 0GitHub stars: 822
Session WrapA세션 종료 전 자동 정리 스킬. 4개 병렬 subagent가 문서 업데이트, 반복 패턴, 학습 포인트, 후속 작업을 동시 탐지하고, 1개 검증 subagent가 중복 제거 후 사용자에게 선택지를 제시한다. 트리거: /session-wrap, 세션 마무리, 세션 정리, 작업 마무리toolsgobashVotes: 0GitHub stars: 822
Skill FactoryAAnalyze session work and automatically convert reusable patterns into Claude Code skills. Use when: "세션을 스킬로", "스킬 만들어", "이거 스킬로", "skill factory", "이 작업 자동화해", "스킬 추출", "make this a skill", "extract skill", "convert to skill", "스킬 팩토리", "자동 스킬 생성". Differs from skill-creator (archived) and manage-skills (drift detection): this skill actively analyzes sessions, checks for duplicates, and creates skills via Agent Teams.toolspythonbashVotes: 0GitHub stars: 822
Strategic CompactASuggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.toolsdebuggingVotes: 0GitHub stars: 822
Stride Analysis PatternsAApply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.toolspythonrustVotes: 0GitHub stars: 822
SummarizeASummarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).toolsgobashVotes: 0GitHub stars: 822
Team OrchestratorAAgent Teams 오케스트레이션 엔진 - 팀 구성, 작업 분배, 의존성 관리, 결과 집계toolsgitapiVotes: 0GitHub stars: 822
Using SuperpowersAUse when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questionstoolsgodebuggingVotes: 0GitHub stars: 822
Verification EngineA통합 검증 엔진 - 서브에이전트 기반 fresh-context 검증 루프 (v6)toolsgoexpressVotes: 0GitHub stars: 822
Verify ImplementationA프로젝트의 모든 verify 스킬을 실행하여 통합 패턴 검증 보고서를 생성합니다. 기능 구현 후, PR 전, 코드 리뷰 시 사용.toolsgobashVotes: 0GitHub stars: 822
Blind Spot PassAUse *before* starting work in a domain you don't know well, to surface the "unknown unknowns" — the things you don't even know to ask about — and learn just enough to prompt and decide well. Implements the "blind spot pass" pattern from Anthropic's Fable "finding your unknowns" field guide. Triggers when you say "I'm new to this", "I don't know what to ask", "teach me before we start", "blind spot pass", "unknown unknowns", "find my unknowns", or the Korean "내가 뭘 모르는지 알려줘" / "이 분야 처음인데" / "먼저...ai-agentsgoreactVotes: 0GitHub stars: 822
Harness DietAMeasure and shrink the always-loaded context of a Claude Code harness (CLAUDE.md + rules without paths frontmatter) back under budget — migrate narrative to reference files, convert rules to path-scoped or skill-triggered loading, and verify zero governance loss with deterministic preservation checks. Use on "harness diet", "context diet", "rules diet", "CLAUDE.md too long", "always-load budget", "trim my rules", "context bloat", "하네스 다이어트", "룰 다이어트", "컨텍스트 다이어트", "always-load 줄여줘". Not for o...ai-agentspythonrustVotes: 0GitHub stars: 822
Humanize KoreanAClean up translation-ese and AI-writing tics in Korean prose so it reads like a person wrote it — content (facts, numbers, proper nouns, quotes) stays 100% unchanged, only style and rhythm are touched. Single-pass, done in this session. Triggers — AI 티 없애줘, 번역투 고쳐줘, 한글 자연스럽게 윤문해줘, sounds like a machine translation, remove AI tells from this Korean text, make this Korean read naturally. Not for: marketing copy generation (write it clean the first time — see rules/korean-writing-quality.md), En...ai-agentsgogitVotes: 0GitHub stars: 822
Korean Character CountACount Korean text deterministically with exact grapheme, line, and byte contracts for self-intros and form limits.ai-agentsgoshellVotes: 0GitHub stars: 822
Korean Spell CheckAUse Nara/PNU Korean spell-check surfaces conservatively to proofread Korean text, chunk long input, and return change-focused correction suggestions.ai-agentsgoshellVotes: 0GitHub stars: 822
Loop ForgeATurn a one-line description of a repetitive task into a reusable, self-guarding slash command. loop-forge diagnoses the task into one of 5 loop shapes (Batch / Pipeline / Refine / Watch / Explore), interviews for the blanks, and auto-injects two safety devices the user didn't know they needed — an independent verifier (maker ≠ checker) and a hardstop (a budget/count/cooldown ceiling) — then previews the result and stamps it as a `/command` they can run forever. Use when the user says "/loop",...ai-agentspythongoVotes: 0GitHub stars: 822
RelayASession relay — compresses what's been done so far (writes a one-liner for /compact) and generates a "next task" prompt (a baton) for the user to hand off. Use on requests like "relay / hand off / next session / continue after compact / baton / handoff / clean up context and continue next task." Does not run /compact itself (a skill cannot do that) — it produces the one-liner the user pastes in.ai-agentsgobashVotes: 0GitHub stars: 822
Review LoopARun the adversarial verification loop — implement, then hand the change to a fresh checker that did not write it, fix what it finds, and re-dispatch until APPROVE. Use before claiming any behavioural change is done, and on requests like "review loop", "adversarial review", "independent review", "get this verified", "is this actually done", "maker checker", "second pair of eyes on this change". Not for prose, docs or typo edits.ai-agentspythongoVotes: 0GitHub stars: 822
Systematic DebuggingAStructured debugging methodology — use before proposing fixes for any error or failure. Covers: code bugs, build errors, deploy failures, config conflicts, dependency issues, infra problems. Also use when previous fix attempts failed or root cause is unclear.ai-agentsnodetestingVotes: 0GitHub stars: 822