353 skills · sorted by relevance
Coordinate a task from a verifiable goal through completion. Handle work directly or split independent tasks across separate agent sessions, track progress, verify results, and arrange pull request merging when included in the goal.
Set up and customize Pi, a terminal coding agent framework. This skill guides model configuration, extension development, terminal interfaces, and integration with other applications through its SDK, a software development kit, or process messaging.
Analyze a project’s code and existing settings to recommend useful Claude Code automations. Receive tailored suggestions for event-triggered actions, specialist agents, skills, plugins, and external tool connections, with reasons and setup locations.
Create a dedicated AI subagent for recurring work, with a defined role, working process, output format, and constraints. Package its files in a plugin and optionally draft a companion skill that routes suitable tasks to it.
Analyze a project's code and configuration to recommend useful Claude Code automations. Get tailored suggestions for event-triggered actions, specialist agents, reusable skills, plugins, and external tool connections, with reasons for each recommendation.
Build Claude Code plugin hooks: automated checks triggered by tool use or session events. Get guidance on prompt and command hooks for validating actions, checking task completion, loading context, and testing configurations.
Manage shell commands and AI agent tasks through a shared gbrain job queue. Track progress, steer agents, pause or resume work, and coordinate parallel tasks, with guidance for long operations, completion reporting, and reusable stage checkpoints.
Build, edit, or debug backend AI agents with eve, a framework that represents agents as directories of files. Work on instructions, tools, connections, schedules, and related components using documentation bundled with the installed version.
Write clear briefs for subagents and conversation forks, agents that inherit conversation history. Specify purpose, known findings, scope, and expected output while respecting each agent's existing role and separating research requests from implementation.
Guide new Kortix users from a vague idea to a concrete task and a finished deliverable. Introduce relevant connections, memory, parallel agents, or scheduled follow-ups as useful next steps after completing the first result.
Guide a Trae agent through recurring failures with diagnosis, alternative approaches, and relevant checks. The skill defines when to intervene, requires evidence for completion, and separates the agent’s self-review from external validation.
Use cmux on macOS to organize visible teams of AI agents, send prompts, inspect terminal output, and monitor completion. Set up role-based teams or have several agents investigate the same problem; live operation remains unproven in the supplied material.
Review medium to large code changes using checks selected for the actual patch. Analyze the change and surrounding code, assign focused reviews by function, file, or feature, and combine findings with locations, confidence levels, and supporting evidence.
Analyze bug-fix commits in a Git repository to uncover recurring failure patterns. Produce individual bug analyses and a reusable pattern guide that removes project-specific details, helping inform future code reviews.
Review how an AI agent loads, retains, summarizes, and shares working information. This historical guide helps examine forgotten constraints, repeated actions, tool selection, and handoffs using context engineering practices published in 2024–2025.
Helps decide whether to handle a task directly, create a subagent, or route it to an agent already familiar with the work. The choice depends on required background knowledge and whether plausible but incorrect results can be checked.
Organize open GitHub issues and pull requests using the gh CLI, GitHub's command-line tool. Identifies resolved issues and pending fixes, estimates priorities and change sizes locally, and proposes closures, links, reviews, or merges for approval.
Review source code without running it to identify potential security vulnerabilities. Findings include severity, confidence, attack scenarios, and suggested fixes, delivered as JSON for further triage and Markdown for human review.
Turn broad life sciences questions into focused research plans. Resolve names and identifiers for genes, diseases, or compounds, select relevant research skills, and combine evidence into a concise answer that explains uncertainty and useful follow-up analyses.
Turn a recurring workflow into a new agent skill through guided discussion. Define use cases, activation conditions, file structure, and instructions, then create and validate SKILL.md and supporting files, including workflows using external tools through MCP.
Apply a prompt-agnostic execution and verification loop to any substantial task while preserving the original request. Use when the user asks to fan out work, use subagents or independent reviewers, loop until done, benchmark against references, apply a harsh critic, compare candidates blind, improve an existing prompt with verification, or continue until explicit quality gates pass.
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This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
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Use when a QwenPaw-backed Worker needs to decide whether to do work directly, use native subagents for internal parallelism, or create a temporary QwenPaw agent with a custom AGENTS.md and skills.
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Delegate focused coding, research, review, or verification work to a bounded DevSpace subagent. Use when a task benefits from separate context, a specialist perspective, or a follow-up with the same worker.
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