Topic: llm
10,059 skills in this topic.
-
directory-helper
Use when validating name-directory matching
agent-sh/agnix 169
-
test-skill
Use when testing per-client skill rules
agent-sh/agnix 169
-
agnix
Use when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP'. Validates agent configuration files against 385 rules across 10+ AI tools.
agent-sh/agnix 169
-
with-hooks
Use when testing valid hooks
agent-sh/agnix 169
-
too-many-injections-skill
Use when testing injection limit validation
agent-sh/agnix 169
-
test-skill
Use when testing per-client skill rules
agent-sh/agnix 169
-
invalid-context-skill
Use when testing invalid context validation
agent-sh/agnix 169
-
fork-with-instructions
Use when analyzing code quality
agent-sh/agnix 169
-
with-custom-agent
Use when testing custom agent validation
agent-sh/agnix 169
-
windows-path
Use when validating windows paths
agent-sh/agnix 169
-
agentfield-multi-reasoner-builder
Architect and ship a complete multi-agent backend system on AgentField from a one-line user request. Use when the user asks to build, scaffold, design, or ship an agent system, multi-agent pipeline, reasoner network, AgentField project, financial reviewer, research agent, compliance agent, or any LLM composition that should outperform LangChain/CrewAI/AutoGen — especially when they want a runnable Docker-compose stack and a working curl smoke test.
Agent-Field/agentfield 1,413
-
agentfield-multi-reasoner-builder
Architect and ship a complete multi-agent backend system on AgentField from a one-line user request. Use when the user asks to build, scaffold, design, or ship an agent system, multi-agent pipeline, reasoner network, AgentField project, financial reviewer, research agent, compliance agent, or any LLM composition that should outperform LangChain/CrewAI/AutoGen — especially when they want a runnable Docker-compose stack and a working curl smoke test.
Agent-Field/agentfield 1,413
-
swe-af
Autonomous engineering team runtime — one API call spins up coordinated AI agents to scope, build, and ship software.
Agent-Field/SWE-AF 697
-
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
-
extract-errors
Use when adding new error messages to React, or seeing "unknown error code" warnings.
sangrokjung/claude-forge 647
-
verification-engine
통합 검증 엔진 - 서브에이전트 기반 fresh-context 검증 루프 (v6)
sangrokjung/claude-forge 647
-
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
-
summarize
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
sangrokjung/claude-forge 647
-
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
-
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
-
prompts-chat
스킬/프롬프트 탐색 및 검색 통합 스킬. 사용자가 스킬 설치, 프롬프트 검색, 프롬프트 개선을 요청할 때 활성화.
sangrokjung/claude-forge 647
-
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
-
eval-harness
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
sangrokjung/claude-forge 647
-
team-orchestrator
Agent Teams 오케스트레이션 엔진 - 팀 구성, 작업 분배, 의존성 관리, 결과 집계
sangrokjung/claude-forge 647