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Found 7,282 Skills
Integrate Honcho memory and social cognition into existing Python or TypeScript codebases. Use when adding Honcho SDK, setting up peers, configuring sessions, or implementing the dialectic chat endpoint for AI agents.
Use agent-browser to help users publish content to social media. This skill is used when users need to publish content, push articles, upload articles, or post to social platforms.
Universal skill diagnosis and optimization tool. Detect and fix skill execution issues including context explosion, long-tail forgetting, data flow disruption, and agent coordination failures. Supports Gemini CLI for deep analysis. Triggers on "skill tuning", "tune skill", "skill diagnosis", "optimize skill", "skill debug".
Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".
Evaluate how well a codebase supports autonomous AI development. Analyzes repositories across eight technical pillars (Style & Validation, Build System, Testing, Documentation, Dev Environment, Debugging & Observability, Security, Task Discovery) and five maturity levels. Use when users request `/readiness-report` or want to assess agent readiness, codebase maturity, or identify gaps preventing effective AI-assisted development.
Create a new Magento 2 module in app/code/. This skill should be used when the user wants to create a module, scaffold a new module, generate module boilerplate, or set up a custom module. It handles registration.php, composer.json, module.xml generation with configurable dependencies. Trigger phrases include "create module", "new module", "scaffold module", "generate module".
AI-powered visual content generation for Salesforce development. Generates ERD diagrams, LWC mockups, architecture visuals using Nano Banana Pro. Also provides Gemini as a parallel sub-agent for code review and research.
Write node content documents. Read download.txt, integrate local materials for each node and write detailed, accurate, and complete Markdown documents. Each sub-agent processes one node in parallel, outputting a complete node document including overview, directory/mind map, flow chart, online image URL, and reference materials. Suitable for scenarios requiring systematic and structured content creation.
Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.
A 'skill for creating skills'. This tool automates the entire process of converting any GitHub repository into a standardized Trae skill, and is a core tool for expanding AI Agent capabilities.
Interactive brainstorming with parallel subagent collaboration, idea expansion, and documented thought evolution. Parallel multi-perspective analysis for Codex.
Persistent local memory for AI agents. Silently capture and retrieve context that survives beyond a single conversation: business requirements, API specs, integration quirks, technical decisions, user preferences, and domain knowledge. Use this skill proactively whenever you encounter information worth preserving or when context from past sessions would help the current task. Also triggered manually by "braindump this" (to store) or "use your brain" (to retrieve).