agent▌

Optimizes agent context setup for improved output quality during coding sessions.

Essential Datadog skills for AI agents.

The Multi-Agent Optimization Tool is an advanced AI-driven framework designed to holistically improve system performance through intelligent, coordinated agent-based optimization. Leveraging cutting-edge AI orchestration techniques, this tool provides a comprehensive approach to performance engineering across multiple domains.

A better web fetch for text content. Your built-in web fetch summarizes or truncates pages. agent-fetch extracts the complete article — every paragraph, heading, and link — using 7 extraction strategies and browser impersonation. No server required, runs as a local CLI tool.

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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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