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Found 4,904 Skills
A skill that creates 'conversation flow' nodes for vox.ai voice agents. It converts call-center/OB/CS scripts (free text) into a flow-node format with `name + content + transition conditions`. Use this skill whenever users ask to transform call scripts, consultation scenarios, OB scripts, CS manuals, call flows, consultation flows, or conversation-flow nodes into step-based prompts/nodes/flows. It is also triggered by requests such as 'split this script into steps,' 'turn this into flow nodes,' or 'organize this with transition conditions.'
Monitor running agent loops, triage failures, clean up after completion, and decide when to intervene. Use when a loop is running and needs babysitting, when a loop just finished and needs post-merge verification, when stories are skipping/failing and need diagnosis, or when stale test artifacts need cleanup. Triggers on: 'check the loop', 'what happened with the loop', 'loop finished', 'clean up after loop', 'why did that story skip', 'monitor loop', 'nanny the loop', or any post-start loop management task. Distinct from agent-loop skill (which handles starting loops).
Skill for Tauri 2.0 and Rust backend development in LocalCowork. Use when working on the Rust backend, Tauri IPC commands, frontend-backend communication, Tauri permissions/capabilities, the application shell, or the Agent Core modules (ConversationManager, ToolRouter, MCP Client, Inference Client, ContextWindowManager). MANDATORY TRIGGERS: "Tauri", "Rust backend", "IPC command", "tauri.conf.json", "Cargo.toml", "capabilities", "agent core", "tool router", "conversation manager", "inference client", "MCP client", "context window", or anything related to the desktop application shell or the Rust-side orchestration layer.
Browse and search the Hence gallery (hence.sh) to discover projects built with AI coding agents. Use when the user wants inspiration, wants to see what others have built, asks about projects on Hence, or mentions searching for AI-built projects. Triggers on queries like "show me cool projects", "search Hence", "find CLI tools on Hence", or "what are people building with Claude Code".
Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
Verify that claims and direct quotes in research manuscripts are present in source materials. Systematically checks interview transcripts, datasets, or cited literature using fast search with haiku agent fallback for intensive reading.
Creates or updates professional-grade agent skills (SKILL.md + optional scripts/references/assets) with strict validation and an iterative generator↔critic workflow. Use when: you want a new skill, want to refactor an existing skill for clarity/token-efficiency, or want to reach an A-grade rubric score.
Fan-out search across all memory sources when context is unclear or vaguely referenced. Triggers on: 'from earlier', 'remember when', 'what we discussed', 'that thing with', 'the conversation about', 'did we ever', 'what happened with', 'you mentioned', 'we talked about', 'earlier today', 'last session', 'the other day', or any vague reference to past context that needs resolution before the agent can act.
A single-entry skill for Xiaohongshu (Creator Center) login to obtain cookies, note publishing, and data export (browser interaction delegated to agent-browser-stealth)
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.
Lightweight session memory CLI for agent workflows. Provides persistent journal, artifact, task, state, idea, and debug tracking across sessions and conversation compaction.
How agents discover and use skills. Use to understand skill invocation protocol.