发现 content media llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Meta-skill for recognizing learnings, validating improvements, and contributing back to the collective knowledge base. Use when agents discover better patterns, find gaps in existing skills, or want to improve...
AI-DLC workflow execution that loads and follows external aidlc-workflows rules to plan, design, and generate code with approval gates and aidlc-docs artifacts. Use when a user wants to run AI-DLC, needs adapti...
Command-line tools that delegate analysis tasks to AI models. Includes image description, screenshot comparison, essay generation from text, and boolean condition evaluation. Use for describing images, comparin...
New agent startup checklist for Agent Mail and Beads. Use when starting a new agent session, when the user says "prime" or "startup", or when beginning work on a multi-agent project.
Retrieve context from past sessions before implementing. Use for learned patterns, past solutions, anti-patterns, session history, or when the user mentions "recall", "memory", "history", "cass", "cm", or "what...
Multi-agent coordination with Agent Mail MCP. Use when registering agents, reserving files, sending messages, coordinating with other agents, or when the user mentions "agent mail", "coordination", "file reserv...
Resolve disagreements between agents or approaches using test-based adjudication. Use when agents disagree, when multiple valid approaches exist, when the user asks "which approach", or when making architectura...
Generate a Product Requirements Document (prd.json) for the Ralph autonomous agent loop. Use when planning a feature, starting a new project, or preparing work for Ralph to implement. Triggers on: create a prd,...
Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Also handles MCP setup and configuration.
This skill should be used when the user asks to "create chatbot", "virtual agent", "VA topic", "NLU", "conversation", "chat flow", "topic block", or any ServiceNow Virtual Agent development.
This skill should be used when the user asks about "snow-flow commands", "CLI commands", "how to start", "swarm", "sparc", "orchestrator", "agent spawn", "memory", "task", or needs guidance on Snow-Flow CLI ope...
This skill should be used when the user asks to "predictive intelligence", "machine learning", "ML", "classification", "similarity", "clustering", "prediction", "AI", or any ServiceNow Predictive Intelligence d...
Synthesize consensus implementation plan from multi-agent debate reports using external AI review
Create, update, and validate repository skills under your agent’s skills directory (Codex: `.codex/skills/`, Claude: `.claude/skills/`) so they match the real codebase and `AGENTS.md` rules; tune YAML `descript...
Python library for LLM API requests with unified interface across providers (OpenAI, Anthropic, Google, etc.). Use when writing code that calls LLMs, creates tools/agents, batch processes prompts, or needs rate...
Synthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.
Create new skills following a structured 4-phase workflow. Use when you need to build reusable agent skills with proper validation.
Prevent AI hallucination and ensure evidence-based responses when analyzing code or making suggestions. Use when: analyzing code, making recommendations, providing options, or when user asks about confidence/ce...
Create and manage parallel AI development sessions in isolated Git worktrees. TRIGGERS - Use this skill when user says "create a shard", "spin up shards", "use shards for this", "create worktrees for features"...
Generate structured session summaries optimized for future AI agent consumption. Use when (1) ending a coding/debugging session, (2) user says "compact", "summarize session", "save context", or "wrap up", (3) c...
Consult external AIs (Gemini 2.5 Pro, OpenAI Codex, Claude) for second opinions. Use for debugging failures, architectural decisions, security validation, or need fresh perspective with synthesis.
shadcn/ui AI chat components for conversational interfaces. Use for streaming chat, tool/function displays, reasoning visualization, or encountering Next.js App Router setup, Tailwind v4 integration, AI SDK v5...
Reusable better-chatbot patterns for custom deployments. Use for server action validators, tool abstraction, multi-AI providers, or encountering auth validation, FormData parsing, workflow execution errors.
FastMCP Python framework for MCP servers with tools, resources, storage backends (memory/disk/Redis/DynamoDB). Use for Claude tool exposure, OAuth Proxy, cloud deployment, or encountering storage, lifespan, mid...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。