plan-and-execute

Create and execute engineering plans with governance and QA verification.

8|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/Gold-b/claude-code-governance --skill plan-and-execute-gold-b
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plan-and-execute
Source: https://github.com/Gold-b/claude-code-governance/tree/main/bundle/skills/plan-and-execute
Command: npx skills add https://github.com/Gold-b/claude-code-governance --skill plan-and-execute-gold-b

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you handle large, multi-step engineering work that is too risky or complex for ad hoc execution. It creates or rewrites a comprehensive implementation plan, validates it against project governance and source-of-truth files, and then carries the work through execution with embedded QA and verification.

Core Features & Use Cases

  • Multi-agent planning pipeline: Coordinates specialized roles such as CTO, Architect, Coder, QA, and PM to produce a shared implementation plan.
  • Governance-aware execution: Loads only the relevant project context, checks contradictions against higher-priority sources, and enforces scope, verification, and state updates.
  • End-to-end delivery: Supports both creating a new plan and rewriting an existing one, then implementing every approved step with testing and milestone tracking.
  • Use case: Ideal for major features, architecture changes, large refactors, or complex bug-fix initiatives that require design, sequencing, validation, and governance updates.

Quick Start

Ask the AI to use the plan-and-execute skill to create or rewrite a plan for your feature, module, refactor, or bug-fix goal and then implement it with verification.

Frequently Asked Questions about plan-and-execute

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I plan and execute large software refactoring end to end?

Planning and executing large software refactoring requires a comprehensive engineering plan with task breakdown, architecture review, and phased implementation. This approach validates scope against project governance and embeds QA verification for every approved step.

What is multi-agent planning for complex software changes?

Multi-agent planning for complex software changes coordinates specialized roles like CTO, Architect, Coder, and QA to produce a shared implementation plan. It ensures architecture review, contradiction checks, and scope control before any execution begins.

How do I implement architecture changes with governance and QA strategy?

Implementing architecture changes with governance and QA strategy requires loading relevant project context, checking contradictions against higher-priority sources, and enforcing evidence-based verification. This ensures large features or critical fixes maintain source-of-truth integrity.

Can I rewrite an existing implementation plan for a major feature?

Yes, you can rewrite an existing implementation plan for a major feature. The process re-evaluates your architecture and task breakdown, checks for contradictions against current project governance, and resumes execution with updated milestone tracking and QA.

When do I need governed execution for complex bug fixes?

You need governed execution for complex bug fixes when changes are too risky for ad hoc execution. It enforces selective context loading, scope control, and evidence-based verification to ensure source-of-truth files remain uncompromised during implementation.

Does multi-agent coordination work for dynamic project path discovery?

Yes, multi-agent coordination works for dynamic project path discovery. It dynamically loads only the relevant project context for specialized roles, ensuring the Coder and QA agents validate implementation steps against the discovered source-of-truth files.