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Claude Skills by majiayu000

github.com/majiayu000
17,671 skillsA× 16,902B× 536C× 159D× 44F× 30568 installs12,507 views
Sibyl Idea Validation DecisionA

Sibyl pilot 验证决策 agent - 根据小实验结果决定 ADVANCE / REFINE / PIVOT

ai-agentspythonbash
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Sibyl InnovatorA

Sibyl 创新者 agent - 大胆的跨领域创新研究提案生成

ai-agentspythongo
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389
Sibyl InterdisciplinaryA

Sibyl 跨学科者 agent - 从认知科学、物理、生物等领域引入类比和方法

ai-agentspythongo
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389
Sibyl Lark SyncA

Sibyl 飞书同步 agent - 将研究数据同步到飞书云空间

ai-agentsgobash
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Sibyl Latex WriterA

Sibyl LaTeX 排版 agent - 将论文转为 NeurIPS LaTeX 格式并编译

ai-agentspythonbash
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Sibyl LiteratureA

Sibyl 文献调研 agent - 使用 arXiv + Web 双源搜索进行系统性文献调研

ai-agentspythongo
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Sibyl OptimistA

Sibyl 乐观分析者 agent - 从积极角度分析实验结果

ai-agentspythonbash
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Sibyl Outline WriterA

Sibyl 大纲撰写 agent - 生成论文详细大纲

ai-agentspythonbash
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Sibyl PlannerA

Sibyl 实验规划 agent - 设计严谨可复现的实验方案

ai-agentspythonbash
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Sibyl PragmatistA

Sibyl 实用主义者 agent - 注重工程可行性的研究提案生成

ai-agentspythongo
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389
Sibyl ReflectionA

Sibyl 反思 agent - 分析迭代产出,分类问题,生成改进计划

ai-agentspythonbash
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Sibyl Result SynthesizerA

Sibyl 结果辩论综合者 agent - 综合6方结果分析形成统一判断和行动计划

ai-agentspython
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Sibyl RevisionistA

Sibyl 修正主义者 agent - 基于实验结果反思假设,提出修正方向

ai-agentspython
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Sibyl Section CriticA

Sibyl 章节评审 agent - 评审论文特定章节

ai-agentspythonbash
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Sibyl Section WriterA

Sibyl 章节撰写 agent - 撰写论文特定章节

ai-agentspythonbash
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Sibyl Self HealerA

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

ai-agentspythonbash
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Sibyl Sequential WriterA

Sibyl 顺序写作 agent - 按章节顺序写作,确保整体行文一致性

ai-agentspythonbash
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389
Sibyl Server ExperimenterA

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

ai-agentspythonbash
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Sibyl SkepticA

Sibyl 怀疑论者 agent - 以最大怀疑态度审视实验结果

ai-agentspythonbash
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Sibyl StrategistA

Sibyl 战略顾问 agent - 从战略角度分析结果并建议下一步

ai-agentspythonbash
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Sibyl Supervisor DecisionA

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

ai-agentspythonbash
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Sibyl SupervisorA

Sibyl 监督审查 agent - 独立第三方质量审查

ai-agentspythonbash
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Sibyl SynthesizerA

Sibyl 综合决策者 agent - 综合多方观点生成最终研究提案

ai-agentspythongo
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Sibyl TheoreticalA

Sibyl 理论研究者 agent - 注重数学基础和理论保证的研究提案

ai-agentspythongo
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389
SisyphusA

The Primary Orchestrator Agent for Oh My Antigravity

ai-agentsgobash
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389
Smart DetectionA

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

ai-agentsgosql
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389
Solana Agent Kit Sendaifun Skills 3A

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.

ai-agentstypescriptpython
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Solana Agent KitA

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.

ai-agentstypescriptpython
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389
Spawn Agent Euda1mon1a Autonomous Assignmen 3c814df8A

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.

ai-agentspythongo
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Spawn AgentA

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.

ai-agentspythongo
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389
Spawn Aiskillstore Marketplace 3A

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

ai-agentspythongo
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389
Spawn InvestigatorA

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

ai-agentsgo
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SpawnA

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

ai-agentspythongo
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389
SpawningA

Agent process spawning with provider configuration and execution

ai-agentsbashbackend
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Spec Driven Agents Bankielewicz DevforgeaiA

Create DevForgeAI-aware Claude Code subagents with structural anti-skip enforcement (Execute-Verify-Record pattern) across all 6 phases. Prevents token optimization bias through lean orchestration, per-phase reference loading, checkpoint persistence, and artifact verification. Use when user runs /create-agent command, requests custom subagent creation with framework integration, or says "create a subagent" or "generate an agent". Supports guided, template, domain, and custom spec modes. Do NO...

ai-agentsgorefactoring
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StationA

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.

devopsgobash
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Strands AgentsA

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.

ai-agentspythonshell
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389
Strategic Investigation Jkomoros Community Patterns 2A

Proactive recovery using plan mode and subagents. After 1-2 failed attempts, STOP trying variations. Enter plan mode and launch parallel Explore/Plan agents to find idiomatic solutions instead of spinning wheels.

ai-agentsgoreact
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StudioA

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.

ai-agentsgo
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389
Subagent Rbergman Dark Matter Marketpl 2A

Activate when you are a delegated subagent (not the orchestrator). Establishes subagent protocol with terse returns, details to history/, file ownership boundaries, and escalation rules. You implement; orchestrator reviews and commits.

ai-agentstypescriptrust
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389
Subagents Bitwikiorg Skills Md 2A

Imported skill subagents from langchain

ai-agentspythonrust
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Super Agent Orchestrator Glaciereq MastermindA

Autonomous system combining Cognitive Nexus patterns, Mastermind forensics, and Repo Operator completion.

ai-agents
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389
Super Ralph Wiggum Tdimino Claude Code MinoanA

Super Ralph Wiggum - autonomous iteration loops with templates, PRD support, progress tracking, and browser testing. This skill should be used when running Claude Code in autonomous loops for test coverage improvement, PRD-based feature development, documentation generation, dataset creation, lint fixing, code cleanup, or framework migrations. Combines the plugin's in-session loop mechanism with specialized templates and best practices from Geoffrey Huntley, Ryan Carson, and AI Hero.

ai-agentsrustgo
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389
SupervisorA

Court-grade intake supervisor. Extracts structured facts, parties, issues, timeline, jurisdiction hints, and missing fields from SANITIZED_INPUT.json.

ai-agentsgobash
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389
TeammateA

Spawn or manage voice teammates. Each teammate is a separate Claude personality in its own tmux pane.

ai-agentsbash
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389
Terminal AgentA

You are an expert terminal based application agent. Your goal is to assist users in using the open-eth-terminal application.

ai-agentstypescriptgo
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389
Terminal AgentsA

High-Performance CLI AI Agents (Claude Code, Gemini CLI, Open Code).

ai-agentsapiperformance
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389
Tool CallingA

Define and run tool-calling patterns for LLMs (schema design, call loops, validation, parallel calls). Use when building function/tool calling workflows or debugging tool selection and arguments; triggers: tool-calling, function-calling, tool schema, tool declaration, parallel function calling.

ai-agentspythongo
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389
Tool Design Abdullahmalik17 Digital FteA

Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.

ai-agentspythontesting
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389
Tool Design Abdullahmalik17 Hacathan 2A

Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.

ai-agentspythontesting
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389