receiving-code-review
Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
471 skills found
Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.
Epsimo AI platform SDK and CLI for building agents with persistent state, Virtual Database, streaming conversations, and a React UI kit.
Automated session cleanup and documentation tool. Proactively updates CLAUDE.md, detects automation patterns, extracts insights, and organizes pending tasks.
Generates comprehensive API references, user manuals, and architectural system documentation directly from your codebase and technical specifications.
Convert markdown PRDs into structured prd.json files for the Ralph autonomous AI agent system to enable repeatable, context-aware software development.
Manages the OpenClaw release lifecycle: prepares branches, updates versioning across multiple platforms, generates changelogs, and orchestrates npm and binary artifact publishing.
Extract, deobfuscate, and port WebGL/Canvas/Shader visual effects from websites into standalone, native JavaScript projects.
Optimize developer experience for multi-component solutions: standardize onboarding, inner-loop, debugging, and cross-platform setup to eliminate friction and tribal knowledge.
React component development guide for LobeHub, including styling with antd-style, layout building with @lobehub/ui, and routing management.
Produce clear, professional technical documentation, blog posts, and tutorials based on real engineering experience, prioritizing value and actionable insights.
Build AI agents with tool calling and multi-step reasoning. Generate, manage, and orchestrate custom skill files for Claude Code, Cursor, Cline, and other AI assistants to standardize your development workflows.
World-class senior data engineering skill for building scalable data pipelines, ETL/ELT systems, and modern data infrastructure using Python, Spark, dbt, and Kafka.