skill-usefulness-audit

A skill where the agent logs it's own findings for self-improvement

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express...

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured co...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.

Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection

用于起草、改写和复核中文公文及正式工作材料；当用户要求通知、请示、报告、函、复函、批复、意见、决定、决议、议案、公报、命令、公告、通告、公示、通报、纪要、方案、说明、申请、征求意见函、采购公告、可研、调研、总结、工作要点、审查材料、讲话稿、致辞、述职报告等中文正式文本，或需要顺稿、压缩、去口语化、降 AI 味、文...

Markdown-first guidance for coding agents under pressure. Use when repo debugging, repeated failure recovery, evidence-first review, scoped edits, silent too...

Build a safe outside-help plan for blocked agent work. Use only when the active task is stalled, looping, version-sensitive, likely covered by known issues/l...