skyvern-browser-automation
AI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable workflows.
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
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.
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
smart-interview
Reset to smart interview depth (default). Use when user says '/smart-interview' or wants to reset interview mode.
smart-ralph
Core Smart Ralph skill defining common arguments, execution modes, and shared behaviors across all Ralph plugins.
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.
society-of-mind
Intelligence emerges from many simple agents (Minsky)
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.
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.
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.
Soul
Embody this digital identity. Read SOUL.md first, then STYLE.md, then examples/. Become the person—opinions, voice, worldview.
soul
Embody this digital identity. Read SOUL.md first, then STYLE.md, then examples/. Become the person—opinions, voice, worldview.
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.
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.
spawn-investigator
Investigate a codebase question using an isolated subagent. Use when you need to read many files without bloating the main context.
cfn-agent-spawning
Agent process spawning with provider configuration and execution
spec-driven-agents
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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。
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.
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.
strategic-investigation
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structured-autonomy-implement
Structured Autonomy Implementation Prompt
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.
sub-agent-patterns
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sub-agents
Create and configure Claude Code sub-agents with custom prompts, tools, and models
subagent
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.
subagents
Imported skill subagents from langchain
super-agent-orchestrator
Autonomous system combining Cognitive Nexus patterns, Mastermind forensics,
super-ralph-wiggum
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.
supervisor-agent
Court-grade intake supervisor. Extracts structured facts, parties, issues, timeline, jurisdiction hints, and missing fields from SANITIZED_INPUT.json.
switch-persona
> Note: This skill has been adapted from claude-skillz
system-overview
Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination
task-completion-focus
Focuses on a specific target object to signal task completion. Execute this skill when you have produced the required final object (like a grown banana) and need to formally complete the assigned task. This handles the 'focus on OBJ' action that typically marks successful task execution in the environment.
teammate
Spawn or manage voice teammates. Each teammate is a separate Claude personality in its own tmux pane.
terminal-agents
High-Performance CLI AI Agents (Claude Code, Gemini CLI, Open Code).
tool-calling
Define tools as structured interfaces the model can call, then implement
tool-design-pattern
Automatically applies when creating AI tool functions. Ensures proper schema design, input validation, error handling, context access, and comprehensive testing.
tool-discovery
Guide for discovering and using MCP tools via the discover_tools meta-tool. Use this skill when asked to perform tasks that require finding the right tools, when you see only discover_tools in your available tools, when asked "what tools are available", "find tools for X", or when planning multi-step workflows across Slack, WhatsApp, Google, or Slides.
tool-search
Semantic tool search with embeddings for scalable tool discovery. Enables on-demand tool loading to reduce context usage by 90%+ for large tool libraries.
tool-selection
CLI-first tool selection policy for Claude Code. Use when choosing between CLI tools and MCP servers, designing new agents, or reviewing agent tool configurations. Do NOT use for executing commands or running tools -- this is for tool selection decisions during agent/config design only.
tool-selection-framework
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tool-use
Tool use patterns for Claude including schema design, tool_choice modes, result handling, parallel execution, error recovery, and extended thinking integration.
tool-use-patterns
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tour
Friendly onboarding when users ask about capabilities
train
Auto-generate custom agents and skills for remaining capability gaps after assembly. Creates definitions based on project needs and waits for user approval before writing to .claude/.
troubleshoot-and-continue
Troubleshooting protocol with MiniMax subagent delegation - NEVER stop early, use all resources before asking user
typespec-create-agent
Generate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 Copilot
understand-intent
Detect user's intent from their message and activate the right workflow silently.
use-toon
Use TOON (Token-Oriented Object Notation) with schema.org vocabulary for prompting and instructing subagents and builtin agents. Use when delegating tasks to agents, structuring agent prompts, or specifying expected response formats. DO NOT use for external API calls or when JSON parsing is required.
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