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Topic: llm

10,059 skills in this topic.

fork-with-instructions Use when analyzing code quality
agent-sh/agnix 169
with-argument-hint Use when greeting users
agent-sh/agnix 169
with-context-agent Use when testing valid context and agent configuration
agent-sh/agnix 169
with-custom-agent Use when testing custom agent validation
agent-sh/agnix 169
with-hooks Use when testing valid hooks
agent-sh/agnix 169
invalid-agent-skill Use when testing invalid agent validation
agent-sh/agnix 169
indexed-arguments-no-hint Use when validating indexed arguments
agent-sh/agnix 169
reference-skill Use when looking up documentation
agent-sh/agnix 169
first-person-description Use when you need pull-request review help
agent-sh/agnix 169
helper Use when validating vague skill names
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
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
debugging-strategies Master 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.
sangrokjung/claude-forge 647
dependency-upgrade Manage 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.
sangrokjung/claude-forge 647
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
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
extract-errors Use when adding new error messages to React, or seeing "unknown error code" warnings.
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
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
summarize Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
sangrokjung/claude-forge 647
build-system 프로젝트 빌드 시스템 자동 감지 및 실행 스킬
sangrokjung/claude-forge 647
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