Executing Plans

Executing Plans is an AI Engineering skill for Claude Code, published by GanyuanRan in Aegis.

1.1K stars50 forkson GanyuanRan/AegisAdded 2026/08/21+2% in starsRepository updated 2026/08/19

agent-skillsai-agentsai-codingarchitecture-driven-developmentawsome-coding-pluginbaseline-firstclaude-codecodexcoding-agentsdivedsh-pluginevidence-drivenfirst-principlesopencodesoftware-architecturespec-driven-developmentspec-kit

Install in seconds

Install Executing Plans

Copy Executing Plans into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/GanyuanRan/Aegis/tree/main/skills/executing-plans ~/.claude/skills/executing-plans

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/GanyuanRan/Aegis.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/executing-plans/SKILL.md in GanyuanRan/Aegis
Installs to: ~/.claude/skills/executing-plans
Collection: One of 22 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Executing Plans does

Executing Plans loads a written implementation plan, checks it for fit and risk, and carries it through execution with checkpoints and verification. Use it for multi-step work across sessions or when review gates are needed.

Executing Plans is cataloged under AI Engineering on DirSkills. Executing Plans comes from a repository tagged agent-skills, ai-agents, ai-coding, architecture-driven-development and awsome-coding-plugin.

Documentation

README

Excerpt

Executing Plans

Overview

Load plan, review critically, execute all tasks, report when complete.

Announce at start: "I'm using the executing-plans skill to implement this plan."

For non-trivial execution, include Aegis Visibility: briefly tie the active slice to its plan, checkpoint, drift or verification boundary. At completion, pass plan adherence, evidence, complexity and residual risk to verification-before-completion for the unified receipt.

If subagents are available and the plan has genuinely independent tasks, prefer subagent-driven-development; lack of subagent support does not block inline execution. Same-task agents share one workspace, and the coordinator remains the only Git mutation owner.

The Process

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Executing Plans

What else does GanyuanRan publish alongside Executing Plans?
Executing Plans is one of 22 skills that DirSkills catalogs from GanyuanRan/Aegis, the repository it ships in. Its siblings there include Aegis Goal Framing, Anti-Entropy Governance and Brainstorming. Each one is a separate skill with its own page in this directory, installs the same way Executing Plans does, and is maintained by GanyuanRan in that same repository. The rest of the collection is listed on the GanyuanRan/Aegis page.
How does Executing Plans compare to other AI Engineering skills?
Executing Plans ranks #1282 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Executing Plans against them. Open each page to compare what they document and how they install.