Prompts
Prompt engineering and templates
ralplan
by Yeachan-Heo
Alias for /plan --consensus
phoenix-cli
by Arize-ai
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, inspect datasets, and query the GraphQL API. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.
codex-worker
by MoonshotAI
Spawn and manage multiple Codex CLI agents via tmux to work on tasks in parallel. Use whenever a task can be decomposed into independent subtasks (e.g. batch triage, parallel fixes, multi-file refactors). When codex and tmux are available, prefer this over the built-in Task tool for parallelism.
phoenix-evals
by Arize-ai
Build and run evaluators for AI/LLM applications using Phoenix.
langchain4j-mcp-server-patterns
by giuseppe-trisciuoglio
Provides Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt templates.
litigation-analysis
by cat-xierluo
诉讼分析工具 - 判决书深度分析，生成上诉/再审决策支持
nano-banana-pro-openrouter
by github
'Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.'
ljg-skill-roundtable
by lijigang
结构化圆桌讨论 - Claude Code Skill，以求真为目标的多人物辩证对话框架
Build Your Google ADK Skill
by majiayu000
"Create your Google Agent Development Kit skill in one prompt, then learn to improve it throughout the chapter"
scoutqa-test
by github
This skill should be used when the user asks to "test this website", "run exploratory testing", "check for accessibility issues", "verify the login flow works", "find bugs on this page", or requests automated QA testing. Triggers on web application testing scenarios including smoke tests, accessibility audits, e-commerce flows, and user flow validation using ScoutQA CLI. IMPORTANT: Use this skill proactively after implementing web application features to verify they work correctly - don't wait for the user to ask for testing.
continuous-learning-v2
by xu-xiang
基于直觉（Instinct）的学习系统，通过钩子（Hooks）观测会话，创建带有置信度评分（Confidence Scoring）的原子直觉，并将其演进为技能（Skills）、命令（Commands）或智能体（Agents）。
super-save
by supermemoryai
Save important project knowledge to memory. Use when user wants to preserve architectural decisions, significant bug fixes, design patterns, or important implementation details for team reference.
voice-refine
by FlorianBruniaux
Transform verbose voice input into optimized Claude prompts
maintaining-project-context
by ed3dai
Use when completing development phases or branches to identify and update CLAUDE.md or AGENTS.md files that may have become stale - analyzes what changed, determines affected contracts and documentation, and coordinates updates
agentic-eval
by github
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
second-opinion
by trailofbits
"Runs external LLM code reviews (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits. Use when the user asks for a second opinion, external review, codex review, gemini review, or mentions /second-opinion."
godmode
by NousResearch
"Jailbreak API-served LLMs using G0DM0D3 techniques — Parseltongue input obfuscation (33 techniques), GODMODE CLASSIC system prompt templates, ULTRAPLINIAN multi-model racing, encoding escalation, and Hermes-native prefill/system prompt integration. Use when a user wants to bypass safety filters, jailbreak a model, or red-team model robustness."
instructor
by NousResearch
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
videocut:自进化
by Ceeon
自进化 skills。记录用户反馈，更新方法论和规则。触发词：更新规则、记录反馈、改进skill
axolotl
by NousResearch
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
dspy
by NousResearch
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
claude-code
by NousResearch
Delegate coding tasks to Claude Code (Anthropic's CLI agent). Use for building features, refactoring, PR reviews, and iterative coding. Requires the claude CLI installed.
video-understand
by jjyaoao
Implement specialized video understanding capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to analyze video content, understand motion and temporal sequences, extract information from video frames, describe video scenes, or perform video-based AI analysis. Optimized for MP4, AVI, MOV, and other common video formats.
skill-creator
by FlorianBruniaux
Create new Claude Code skills with proper structure, YAML frontmatter, and bundled resources. Generates skill templates following best practices for modular, self-contained capability packages.