Loading...
Loading...
Found 139 Skills
Execute Python code in isolated rootless containers with MCP server proxying to reduce context bloat from 30K to 200 tokens
Pre-build reality check for AI coding agents — scan GitHub, HN, npm, PyPI, Product Hunt to validate ideas before building
Connect AI coding agents to Figma designs via MCP to generate code from frames, extract design tokens, use Code Connect, and write directly to the canvas
Execute Google Gemini CLI for large-context code analysis, multimodal reasoning, and repository-scale reviews. Also use for delegating tasks requiring 1M token context windows or Gemini-specific capabilities.
Enforce safe Frida 17 MCP operations with strict phase gating. Use when attaching/spawning sessions, writing or loading scripts, applying Java/native hooks, troubleshooting instrumentation failures, or interpreting Frida MCP output. Require docs-first usage and run the mandatory workflow: Idea -> Scripting -> Execution -> Notes.
Enable Claude Code instances to discover and message each other across different terminal sessions and projects
Run MATLAB from AI applications using the official MathWorks MCP server to execute code, analyze scripts, and manage MATLAB sessions.
MCP server providing local-first document management with AI-powered semantic search, hybrid vector search, and intelligent chunking using Orama and Gemini
Extract watermark-free Douyin/TikTok videos and transcribe audio content using AI speech recognition
Trade stocks, ETFs, crypto, and options through Alpaca's MCP server using natural language in AI assistants
Multi-perspective dialectical reasoning with cross-evaluative synthesis. Spawns parallel evaluative lenses (STRUCTURAL, EVIDENTIAL, SCOPE, ADVERSARIAL, PRAGMATIC) that critique thesis AND critique each other's critiques, producing N-squared evaluation matrix before recursive aggregation. Triggers on /critique, /dialectic, /crosseval, requests for thorough analysis, stress-testing arguments, or finding weaknesses. Implements Hegelian refinement enhanced with interleaved multi-domain evaluation and convergent synthesis.
Conduct a full-dimensional in-depth analysis of Amazon competitor Listings, including copywriting logic, review analysis, keyword analysis, market dynamics, etc. Automatically save the analysis as a Markdown report to the reports/ directory. Trigger this when the user uses the /amazon-analyse command with a product ASIN.