By CHOSENX-GPU
Orchestrated plan execution via Codex/Cursor/Claude with batch review, fix loops, and auto-commit
Bridge for calling Codex and Cursor from Claude Code. Provides MCP call format and shell fallbacks. Use when you need to delegate work to Codex or Cursor, or when plan-review/plan-execute/code-review need to invoke external agents.
Execute a reviewed plan by delegating to Codex/Cursor/Claude, with batch execution, code review, and auto-commit. Use when the user says /plan-execute, "execute plan", "执行计划", or wants to implement an approved technical plan.
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npx claudepluginhub chosenx-gpu/synapse --plugin synapse-executeAutomated git operations with Conventional Commits: /save, /commit, /push, /pr, /squash-merge
Git worktree lifecycle management: create, list, switch, handoff, and cleanup for parallel multi-agent development
EARS (Evolving Autonomous Research System) - project-aware knowledge capture with auto-discovery hook and tech-stack-specific initialization
Adversarial plan review and deep code review via Claude Code, Codex, and Cursor cross-agent collaboration
Hierarchical Cognitive Caching — project-level memory system for Claude Code. Tracks work, distills experience, builds verified knowledge across sessions.
Describe your goal, approve the spec, then step away — Claude and Codex loop together until it's right.
Delegate plan execution to Codex CLI via ASP. Part of cc-multi-cli-plugin. Requires the `multi` plugin.
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
Autonomous plan execution with Claude Code - task execution, monitoring, and plan creation
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
Multi-agent orchestrator — supervisor loop that launches agents to implement plans