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Universal self-improving agent that learns from all skill experiences using multi-memory architecture. \n \n Implements semantic, episodic, and working memory to extract patterns, abstract insights, and continuously evolve skill guidance across the codebase \n Auto-triggers on skill completion, errors, and session events via hooks-based integration; detects and corrects inaccurate guidance with traceable evolution markers \n Prioritizes updates across 10+ skill categories (PRD planning, architec

XLSX CLI for AI agents. JSON to stdout by default (raw text for --format csv|markdown). Polars+fastexcel for data reads (7-10x faster than openpyxl), openpyxl for metadata/writes, three rendering engines for visual capture (Aspose → Excel → LibreOffice), oletools for VBA.

Refactor bloated agent instruction files (AGENTS.md, CLAUDE.md, COPILOT.md, etc.) to follow progressive disclosure principles - keeping essentials at root and organizing the rest into linked, categorized files.

This skill teaches how to create effective Claude Code skills following the official specification from code.claude.com/docs/en/skills.

Skill by ara.so — Daily 2026 Skills collection.

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Terminal-based RSS/Atom feed reader with discovery, search, and OPML import/export. \n \n Discover feeds from any website, subscribe to feeds with optional timeout configuration, and read articles from single or multiple feeds with caching and parallel fetching \n Search across all subscribed feeds locally or discover new feeds via web search (agent-built-in or Exa API) with auto-subscribe and read options \n Clean up broken and duplicate feeds, import/export subscriptions via OPML, and manage f

Extract a Malaysian real-estate agent's display name, full mobile phone (E.164), and email from any EdgeProp.my agent profile or listing page by parsing the inlined Next.js __NEXT_DATA__ payload — bypasses the UI's masked phone and email-form gateway.

Discovers and invokes agent skills for effective task management in engineering workflows.

Self-improving browser automation via the auto-research loop, iteratively enhancing navigation skills for specific website tasks.