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MoofonLi
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executing-plans

Executes a written implementation plan task by task with review checkpoints and verification steps.

2|Updated Jul 11, 2026
Search Tags:#workflow#implementation plan#git worktree#task execution#review checkpoints#code verification#ai coding agent
One-click install
npx skills add https://github.com/MoofonLi/dev-ready --skill executing-plans-moofonli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: executing-plans
Source: https://github.com/MoofonLi/dev-ready/tree/main/src/dev_ready/templates/claude/skills/executing-plans
Command: npx skills add https://github.com/MoofonLi/dev-ready --skill executing-plans-moofonli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? It turns a written implementation plan into completed work by executing each task in order, running the specified verifications, and stopping to ask for help instead of guessing when blocked. ## Core Features & Use Cases - Critical Plan Review: Loads the plan, reviews it critically, and raises concerns with the human partner before any code is written. - Step-by-Step Execution: Marks each task in progress, follows the plan's bite-sized steps exactly, and runs the specified verifications before marking tasks complete. - Defined Stop Conditions: Halts execution on blockers, unclear instructions, or repeated verification failures and asks for clarification rather than guessing. - Use Case: After a planning session produces an implementation plan, hand it to this skill in a separate session to execute all tasks, then finish the development branch with tests verified. ## Quick Start Ask the agent to execute the implementation plan in docs/plans using the executing-plans skill and report when all tasks are complete.

Frequently Asked Questions about executing-plans

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

FAQPage Schema
How do I execute an implementation plan with an AI coding agent?▼

Provide the written plan file and invoke the executing-plans skill. It reviews the plan critically, creates todos for each task, executes steps exactly as written, runs the specified verifications, and reports when all tasks are complete.

What should an AI agent do when a plan step fails or is unclear?▼

The agent should stop executing immediately and ask for clarification rather than guessing. Blockers include missing dependencies, failing tests, unclear instructions, and repeated verification failures.

When should I use subagent-driven-development instead of executing-plans?▼

Use subagent-driven-development when your platform supports subagents, such as Claude Code, Codex CLI, Copilot CLI, or Gemini CLI. The executing-plans skill is the fallback for sessions without subagent access.

Can the agent start implementation directly on the main branch?▼

No. The skill requires an isolated workspace, such as a git worktree, and never starts implementation on main or master without explicit user consent.

What happens after all plan tasks are completed?▼

After all tasks complete and verifications pass, the skill hands off to the finishing-a-development-branch skill, which verifies tests, presents completion options, and executes the chosen option.

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