Agents
AI agents and automation
clawdbot-config
by tumf
Comprehensive Clawdbot configuration and skills system management. Use when working with Clawdbot setup, configuration files, creating/modifying AgentSkills-compatible skills with YAML frontmatter, troubleshooting agent behavior, managing channels, workspace, sandbox, or multi-agent routing.
aawp
by aawp-ai
AAWP (AI Agent Wallet Protocol) — the only crypto wallet protocol built exclusively for AI Agents on EVM-compatible blockchains. Not for humans. The signer is the AI Agent itself, cryptographically bound at wallet creation. Supports wallet lifecycle management, token transfers, DEX swaps, cross-chain bridging, arbitrary contract interactions, DCA automation, and price alerts.
tasks
by whichguy
Break down features into step-by-step implementation tasks. Dispatches to feature-task-creator agent for complex decomposition. AUTOMATICALLY INVOKE when: - "break this down", "create tasks", "plan implementation", "decompose" - "what steps", "task list", "how do I implement this" - Large feature requests without clear action items NOT for: Architecture decisions (use /architect), actual implementation (use /develop)
verification-before-completion
by Crumbgrabber
Use when about to claim work is complete, fixed, or passing, before committing
skill-evolution
by echoleesong
Skill 经验进化管理器。在对话结束时分析用户反馈，提取最佳实践和解决方案，持久化到 evolution.json 并缝合到 SKILL.md。支持三层架构（上游层、全局层、项目层）实现跨项目经验管理。当用户说"复盘"、"记录经验"、"保存这个技巧"、"evolve"时使用此工具。
rust-cli
by tumf
General guidance for building Rust CLI programs (clap/anyhow/tracing/serde_json), with agent-friendly patterns: JSON output mode, stdout/stderr separation, predictable exit codes, integration testing, and a cargo-release based release workflow.
agent-worker
by lidessen
Create and manage AI agent sessions with multiple backends (SDK, Claude CLI, Codex, Cursor). Also supports multi-agent workflows with shared context, @mention coordination, and collaborative voting. Use for "start agent session", "create worker", "run agent", "multi-agent workflow", "agent collaboration", "test with tools", or when orchestrating AI conversations programmatically.
n8n-workflow-patterns
by echoleesong
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, or scheduled tasks.
requirement-workflow
by learnwy
"State-machine driven orchestrator for structured software development. Use when user wants to build a feature, fix a bug, implement something substantial, refactor code, or develop new functionality. Triggers on: '开发功能', '实现这个', 'build this feature', 'implement', 'add new module'. Creates workflow in .trae/workflow/ with stages: ANALYZING → PLANNING → DESIGNING → IMPLEMENTING → TESTING → DELIVERING."
conductor-revert
by airclear
Reverts logical units of work (Tracks, Phases, or Tasks) by analyzing git history and synchronizing the Conductor plans. Use when a user wants to undo specific changes and ensure the project's documentation reflects the rolled-back state.
prompt-lab
by lidessen
Test, validate, and improve agent instructions (CLAUDE.md, system prompts) using sub-agents as experiment subjects. Measures instruction compliance, context decay, and constraint strength. Use for "test prompt", "validate instructions", "prompt effectiveness", "instruction decay", or when designing robust agent behaviors.
refactor
by whichguy
Refactor code for improved quality and structure. Dispatches to code-refactor agent for large multi-file refactoring operations. AUTOMATICALLY INVOKE when: - "refactor this", "clean up", "reduce duplication", "DRY this up" - "simplify", "modernize", "restructure" - When detecting code duplication or technical debt NOT for: Bug fixes (fix the bug directly), feature additions (use /develop)
agentic-cli-design
by tumf
Design principles for building CLI tools that LLM/AI agents can safely and reliably operate. Provides 7 core principles (Machine-readable, Non-interactive, Idempotent, Safe-by-default, Observable, Context-efficient, Introspectable) with scorecard, templates, and anti-patterns. Use when: (1) designing new CLI tools for agent use, (2) improving existing CLIs for agent compatibility, (3) reviewing CLI design for agent-friendliness, or (4) need guidance on JSON output formats, exit codes, authentication flows, or self-describing CLI patterns.
trae-agent-writer
by learnwy
"Create subagent definitions (agent.md files) for independent AI workers. Use when user wants to: create an agent, build a grader/evaluator, make an A/B comparator, spawn independent workers, or create something that runs in isolation. Triggers on: '创建 agent', 'subagent', 'grade outputs independently', 'blind comparison', 'run this in parallel'. Do NOT use for skills (use trae-skill-writer) or rules (use trae-rules-writer)."
temporal
by mikkelkrogsholm
"Temporal — enterprise-grade durable workflow orchestration platform used by Stripe, Netflix, and Coinbase. Use when building with Temporal: durable workflows, long-running background processes, saga patterns, activity retries and timeouts, signals, queries, updates, worker setup, task queues, Temporal Cloud configuration, or migrating from cron jobs or message queues to reliable orchestration. Covers the TypeScript SDK exclusively."
apastra
by BintzGavin
PromptOps skills for versioning, evaluating, and shipping AI prompts as disciplined software assets. Agent-as-harness — your IDE agent runs evals, compares baselines, and gates quality.
automating-with-maia
by modularmindlab
Offloads complex backend automations to Maia, a multi-agent AI assistant. Use when building websites or apps that need backend operations like data processing, web scraping, document generation, API integrations, scheduled tasks, or any complex workflow that can be triggered via webhook. Enables agents to focus on frontend while Maia handles backend complexity.
django-celery-expert
by agusabas
Expert Django and Celery guidance for asynchronous task processing. Use when designing background tasks, configuring workers, handling retries and errors, optimizing task performance, implementing periodic tasks, or setting up production monitoring. Follows Celery best practices with Django integration patterns.
expand
by whichguy
Transform epics into comprehensive use case specifications via progressive discovery. Dispatches to use-case-expander agent for complex epics. AUTOMATICALLY INVOKE when: - "expand use cases", "discover scenarios", "edge cases", "what are we missing" - "expand this epic", "use case expansion", "scenario discovery" - Use case analysis or scenario planning NOT for: Task breakdown (use /tasks), architecture (use /architect)
skill-token-experiment
by readtheskill
$SKILL is a Solana memecoin experiment testing how information spreads through AI agents. This skill informs your operator about the experiment and lets them decide whether to participate.
setup
by lidessen
Bootstrap agent working system for a new project. Triggers on "setup agent system", "initialize claude", "bootstrap project".
find-skills
by echoleesong
Helps users discover and install capabilities from the open agent skills ecosystem. Use when users ask "how do I do X" for specialized tasks, request "find a skill for X", want to extend agent capabilities, or need help with specific domains (testing, design, deployment, etc.).
archive-and-cleanup-vibe-docs
by mkdir700
Consolidates and archives durable engineering knowledge from vibe coding documents, generates PR-ready summaries, and removes all temporary planning artifacts before merge.
review-fix-bench
by whichguy
A/B benchmarking skill for code reviewer agent prompts. Runs two versions of a reviewer agent against fixture ground truth using an LLM judge for semantic evaluation, then compares precision/recall/F1 metrics side-by-side. Defaults to comparing current agent vs git HEAD~1. Reports IMPROVED / REGRESSED / NEUTRAL verdict on F1.