Data-Literacy-Academy/claude-skills
Shared Claude Code skills for the DLA dev team
Shared Claude Code skills for the DLA dev team
npx skills add Data-Literacy-Academy/claude-skillsShared Claude Code skills for the DLA dev team
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
Roast & fact-check agent with live web receipts via Bright Data MCP — Web Data UNLOCKED Hackathon (Bright Data x lablab.ai)
Visual whiteboard collaboration for Copilot CLI. Creates an interactive whiteboard that opens in your browser — draw, sketch, add sticky notes, then share everything back with Copilot. Copilot sees your drawings and text, and responds with analysis, suggestions, and ideas.
A searchable catalog & auto-curator of AI agent skills for Claude Code and Codex
AI-powered CLI for structured repository audits with Codex or Claude Code, including evidence packs, risk findings, roadmap reports and parallel analysis.
🤖 Chat with AI securely over SSH, leveraging a powerful backend and user-friendly interface for an engaging and efficient communication experience.