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> AI-powered code review skills to automatically detect issues, enforce best practices, and improve overall code quality for modern codebases.
Write, edit, and maintain documentation.
Design and optimize production-grade multi-agent systems with LangGraph, LangChain, and DeepAgents for complex AI wor...
Tangram command /tangram:execute. Execute technical tasks within a feature workspace using a subagent-driven loop and...
Design patterns for building autonomous coding agents, inspired by [Cline](https://github.
Multi-perspective review for Codex using the current sub-agent runtime.
Manage MCP servers - discover, analyze, execute tools/prompts/resources.
Delegate implementation of a GitHub issue from a Codex session to Gemini CLI.
CV Building Mode. Guidelines for adding new professional experience, projects, or skills to the cv-data repository.
INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents.
Use Nate Jones OB1 Agent Memory from OpenClaw with provenance, scope, review, and use-policy discipline.
INVOKE THIS SKILL when building ANY Deep Agents application.
[Planning] Use when you need to research, analyze, investigate, plan, design, or architect technical solutions.
Goal-oriented workflow for landing a requested change safely.
Score any MCP server, API, or CLI for agent-readiness using Clarvia AEO (Agent Experience Optimization).
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.