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Found 3,519 Skills
Add or change allowed commands in AI agent permission configs (OpenCode, Claude Code)
Scaffold a new integration-type "seed skill" — a SKILL.md with reference assets and prompts.jsonl entries that teach an agent to generate working, testable integration code from scratch. - Use when: developer wants to create a new skill for an SDK or framework integration that agents should be able to implement and test - Ask first: Is this an integration skill (code generation + tests) or a tool skill (CLI wrapper with no tests)? Only proceed with this skill for integration-type skills.
Copilot agent that assists with bug investigation, root cause analysis, and fix generation for efficient debugging and issue resolution Trigger terms: bug fix, debug, troubleshoot, root cause analysis, error investigation, fix bug, resolve issue, error analysis, stack trace Use when: User requests involve bug hunter tasks.
Create and configure custom OpenCode agents (primary and subagents) with specialized prompts, tools, permissions, and models. Use when the user wants to create, modify, or configure OpenCode agents, or mentions agent modes, tool permissions, or task delegation.
Use when validating code quality after modifications. Runs sniper agent in isolated forked context for clean, fast validation.
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.'
This skill should be used when the agent needs to give a spoken voice update to the user, or when reminded by a Stop hook to provide audio feedback. Use this skill to speak a short summary of what was accomplished.
Replace with a description of what this skill does and when Claude should use it. Include keywords that help agents discover and activate this skill.
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.
Comprehensive guide to AI SDK v6 for agent development, tool definitions, multi-step agentic workflows, and result extraction patterns
Progressive context refinement pattern for subagents. Solves the problem of agents not knowing what context they need until they start working. Uses a 4-phase loop: DISPATCH, EVALUATE, REFINE, LOOP.