prd-impact-analyzer

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

执行代码质量检查测试，基于阿里巴巴 P3C 规范对代码进行全面检查，包括命名规范、异常处理、并发安全、数据库规范、OOP 规范、安全规约和单元测试规范。Invoke when user needs to verify code quality against P3C standards.

执行 Java 代码性能优化，包括 JVM 调优、并发编程、内存管理、缓存策略、数据库优化、集合框架优化等。Invoke when user needs to optimize Java code performance.