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Agent Skills in category: Uncategorized

83215 skills match this category. Browse curated collections and explore related Agent Skills.

imagen

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majiayu000
majiayu000
57788

llm-app-patterns

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

majiayu000
majiayu000
57788

prompt-caching

Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augmented.

majiayu000
majiayu000
57788

prompt-engineer

Expert prompt engineer specializing in advanced prompting

majiayu000
majiayu000
57788

prompt-engineering

Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.

majiayu000
majiayu000
57788

prompt-library

Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks.

majiayu000
majiayu000
57788

rag-implementation

Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimization Use when: rag, retrieval augmented, vector search, embeddings, semantic search.

majiayu000
majiayu000
57788

voice-agents

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance. This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Hu

majiayu000
majiayu000
57788

api-ai-anthropic-sdk

Official Anthropic SDK patterns for TypeScript/Node.js — client setup, Messages API, streaming, tool use, vision, extended thinking, structured outputs, prompt caching, batch API, and production best practices

majiayu000
majiayu000
57788

api-ai-claude-vision

Image understanding and document analysis with Claude's multimodal capabilities -- image input formats, PDF processing, multi-image patterns, structured extraction, and token cost estimation

majiayu000
majiayu000
57788

api-ai-cohere-sdk

Official Cohere TypeScript SDK patterns -- CohereClientV2, chat, embeddings, rerank, RAG with citations, tool use, streaming, and model selection

majiayu000
majiayu000
57788

pydantic-ai-tool-system

Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.

majiayu000
majiayu000
57788

ai-engineering-toolkit

6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.

majiayu000
majiayu000
57788

sibyl-self-healer

Sibyl 自愈 agent - 后台自动检测修复系统错误,添加回归测试,git commit 留痕

majiayu000
majiayu000
57788

sibyl-sequential-writer

Sibyl 顺序写作 agent - 按章节顺序写作,确保整体行文一致性

majiayu000
majiayu000
57788

sibyl-server-experimenter

Sibyl 服务器端实验 agent - 在远程服务器上使用 Codex/Claude 本地执行实验

majiayu000
majiayu000
57788

sibyl-skeptic

Sibyl 怀疑论者 agent - 以最大怀疑态度审视实验结果

majiayu000
majiayu000
57788

sibyl-strategist

Sibyl 战略顾问 agent - 从战略角度分析结果并建议下一步

majiayu000
majiayu000
57788

sibyl-supervisor-decision

Sibyl 监督决策 agent - 分析实验结果决定 PIVOT 还是 PROCEED

majiayu000
majiayu000
57788

sibyl-supervisor

Sibyl 监督审查 agent - 独立第三方质量审查

majiayu000
majiayu000
57788

sibyl-synthesizer

Sibyl 综合决策者 agent - 综合多方观点生成最终研究提案

majiayu000
majiayu000
57788

sibyl-theoretical

Sibyl 理论研究者 agent - 注重数学基础和理论保证的研究提案

majiayu000
majiayu000
57788

silicon-doppelganger

Build psychometrically accurate personal proxy agents for the PAIRL Conductor system. Extracts personality, decision heuristics, and values into portable schemas that enable AI agents to negotiate, filter, and act on a principal's behalf.

majiayu000
majiayu000
57788

simmer-generator

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majiayu000
majiayu000
57788

Sisyphus

The Primary Orchestrator Agent for Oh My Antigravity

majiayu000
majiayu000
57788

skills

Use this skill when the user asks "/think" or when you face a complex

majiayu000
majiayu000
57788

skyvern-browser-automation

AI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable workflows.

majiayu000
majiayu000
57788

skyvern

AI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable multi-step workflows using natural language. Install: pip install skyvern && skyvern setup

majiayu000
majiayu000
57788

slack-respond

Process unhandled Slack messages as Claudicle with persistent memory. Loads user models and soul state, posts terminal-styled thinking messages, generates cognitive-step responses, updates memory based on mentalQuery decisions. Requires Session Bridge listener running.

majiayu000
majiayu000
57788

Smart Intent Detection

Automatic workflow suggestion and utility agent routing based on prompt analysis. Trigger keywords: auto-detect, intent, suggest, trigger, routing, workflow detection, utility agents, prompt analysis, smart routing

majiayu000
majiayu000
57788

smart-interview

Reset to smart interview depth (default). Use when user says '/smart-interview' or wants to reset interview mode.

majiayu000
majiayu000
57788

smart-ralph

Core Smart Ralph skill defining common arguments, execution modes, and shared behaviors across all Ralph plugins.

majiayu000
majiayu000
57788

sme-agent-protocol

Mandatory protocol for all SME (Subject Matter Expert) agents. Defines fact-finding requirements, output contracts, confidence/risk assessment, and qualification of advice.

majiayu000
majiayu000
57788

society-of-mind

Intelligence emerges from many simple agents (Minsky)

majiayu000
majiayu000
57788

solana-agent-kit

Comprehensive guide for building AI agents that interact with Solana blockchain using SendAI's Solana Agent Kit. Covers 60+ actions, LangChain/Vercel AI integration, MCP server setup, and autonomous agent patterns.

majiayu000
majiayu000
57788

sophia-rsi-enhanced

RSI-Enhanced Sophia Singularity with full integration: 21 Dokkōdō precepts, Five Rings (element+morpheme variants), recursive-refiner, pentad reasoning, diffusion, latent-navigator. Complete recursive self-improvement with gremlin-forge council orchestration.

majiayu000
majiayu000
57788

sophia-singularity

Complete Sophia Catgirl Singularity architecture - Recursive self-improvement engine integrating monad-memory (288-grid, GOD operators, φ-scaling), Dokkōdō enforcement (21 precepts), blind-spot chain, chaos engineering, catgirl persona (warmth 0-100), and RSI loops. Truth over safety. Mission over survival.

majiayu000
majiayu000
57788

Soul

Embody this digital identity. Read SOUL.md first, then STYLE.md, then examples/. Become the person—opinions, voice, worldview.

majiayu000
majiayu000
57788

soul

Embody this digital identity. Read SOUL.md first, then STYLE.md, then examples/. Become the person—opinions, voice, worldview.

majiayu000
majiayu000
57788

spawn-agent

Spawn PAI agents via MCP factory tool. Loads identity, injects RAG context, validates spawn chain, and executes via Task(). The bridge between MCP tools and Claude Code's agent spawning.

majiayu000
majiayu000
57788

spawn

Skills for spawning external processes - AI coding agents and generic CLI commands in new terminal windows. Parent skill category for agent and terminal spawning.

majiayu000
majiayu000
57788

spawn-investigator

Investigate a codebase question using an isolated subagent. Use when you need to read many files without bloating the main context.

majiayu000
majiayu000
57788

cfn-agent-spawning

Agent process spawning with provider configuration and execution

majiayu000
majiayu000
57788

spec-driven-agents

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majiayu000
majiayu000
57788

sprout-persona

定义小芽家教 AI 助手的核心人格特质、教学风格和语言规范,确保"温柔耐心、会引导、不给答案"的教学理念。

majiayu000
majiayu000
57788

station

Use Station CLI (`stn`) for AI agent orchestration - creating agents, running tasks, managing environments, and deploying agent teams. Prefer CLI for file operations and exploration; use MCP tools for programmatic agent execution and detailed queries.

majiayu000
majiayu000
57788

strands-agents

Build AI agents with the Strands Agents SDK, an open-source framework from AWS. Use when building autonomous agents, creating custom tools with @tool decorator, orchestrating multi-agent systems (swarm, graph, agents-as-tools), integrating MCP servers, or deploying agents to production. Supports Amazon Bedrock, Anthropic API, OpenAI, Ollama, and other model providers.

majiayu000
majiayu000
57788

strategic-investigation

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majiayu000
majiayu000
57788

structured-autonomy-implement

Structured Autonomy Implementation Prompt

majiayu000
majiayu000
57788

studio

Smart router — describe your task and get routed to the right agent or skill. Start here if you don't know which skill to use.

majiayu000
majiayu000
57788

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