Topic: agents
2,643 skills in this topic.
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strategic-compact
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
sangrokjung/claude-forge 647
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verify-implementation
프로젝트의 모든 verify 스킬을 실행하여 통합 패턴 검증 보고서를 생성합니다. 기능 구현 후, PR 전, 코드 리뷰 시 사용.
sangrokjung/claude-forge 647
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eval-harness
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
sangrokjung/claude-forge 647
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security-compliance
Guides 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.
sangrokjung/claude-forge 647
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prompts-chat
스킬/프롬프트 탐색 및 검색 통합 스킬. 사용자가 스킬 설치, 프롬프트 검색, 프롬프트 개선을 요청할 때 활성화.
sangrokjung/claude-forge 647
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session-wrap
세션 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 마무리
sangrokjung/claude-forge 647
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evaluating-llms-harness
Evaluates 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.
sangrokjung/claude-forge 647
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manage-skills
세션 변경사항을 분석하여 검증 스킬 누락을 탐지합니다. 기존 스킬을 동적으로 탐색하고, 새 스킬을 생성하거나 기존 스킬을 업데이트한 뒤 프로젝트 CLAUDE.md를 관리합니다.
sangrokjung/claude-forge 647
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cc-dev-agent
Claude 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.
sangrokjung/claude-forge 647
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build-system
프로젝트 빌드 시스템 자동 감지 및 실행 스킬
sangrokjung/claude-forge 647
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continuous-learning-v2
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
sangrokjung/claude-forge 647
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cache-components
Expert 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 enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions.
**USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.
sangrokjung/claude-forge 647
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skill-factory
Analyze 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.
sangrokjung/claude-forge 647
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stride-analysis-patterns
Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
sangrokjung/claude-forge 647
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evaluating-code-models
Evaluates 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.
sangrokjung/claude-forge 647
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frontend-code-review
Trigger 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.
sangrokjung/claude-forge 647
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using-superpowers
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
sangrokjung/claude-forge 647
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team-orchestrator
Agent Teams 오케스트레이션 엔진 - 팀 구성, 작업 분배, 의존성 관리, 결과 집계
sangrokjung/claude-forge 647
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AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
ruvnet/agentic-flow 607
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github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
ruvnet/agentic-flow 607
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github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
ruvnet/agentic-flow 607
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Skill Builder
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
ruvnet/agentic-flow 607
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AgentDB Performance Optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
ruvnet/agentic-flow 607
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V3 DDD Architecture
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
ruvnet/agentic-flow 607