Agent skill

Executing Plans

by GanyuanRan in GanyuanRan/Aegis

A skill your agent uses when executing a written implementation plan across sessions or with review checkpoints.

MITAuto-check passedAgent Workflows

Install Executing Plans

skills CLI
$ npx skills add GanyuanRan/Aegis --skill executing-plans -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install GanyuanRan/Aegis executing-plans --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/GanyuanRan/Aegis.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/executing-plans .claude/skills/executing-plans && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
executing-plans
GitHub stars
1.3k
Used in
1 other repo
Token cost
~2.3k tokens
SKILL.md length
1,056 words
Files
1
Skills in repo
21
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when executing a written implementation plan across sessions or with review checkpoints.

  • Works in 4 steps: Load and Review Plan → 5: Long-Task Checkpoint Setup → Execute Tasks → …
  • Executing a written implementation plan across sessions
  • SKILL.md covers Overview, The Process, When to Stop and Ask for Help and When to Revisit Earlier Steps, plus 2 more sections
  • Calls git

What it does

Executing Plans is an agent skill from GanyuanRan/Aegis. Use when executing a written implementation plan across sessions or with review checkpoints. Small or single-slice plans stay inline. For same-session independent tasks, use subagent-driven-development instead.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Planning and Subagents. The repository describes itself as: Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks. The licence is MIT.

When your agent uses it

  • Executing a written implementation plan across sessions
  • With review checkpoints

Example prompts

  • “/executing-plans”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Load and Review Plan
  2. 5: Long-Task Checkpoint Setup
  3. Execute Tasks
  4. Complete Development

What it can do on your machine

Read from SKILL.md and the folder at commit 4edf34e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Executing Plans loads about 2.3k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 1,056 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from GanyuanRan/Aegis at commit 4edf34e, republished under its MIT licence (© GanyuanRan). 1,056 words, ~2,286 tokens.

Download SKILL.mdSave it as .claude/skills/executing-plans/SKILL.md (or your agent's skills folder).
name
executing-plans
description
Use when executing a written implementation plan across sessions or with review checkpoints. Small or single-slice plans stay inline. For same-session independent tasks, use subagent-driven-development instead.

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

Step 1: Load and Review Plan
  1. Read plan file
  2. If the plan or active checkpoint includes an Execution Readiness View, read it before implementation and compare the plan against its intent lock, scope fence, baseline lock, owner / contract constraints, compatibility boundary, retirement boundary, test obligations, review gates, drift / rewind rules, and evidence required before completion.
  3. Review critically - identify any questions or concerns about the plan
  4. If the view contradicts the plan, baseline, or current worktree evidence, return to plan review or refresh the advisory handoff before editing.
  5. Run the TDD Route Guard before implementation: confirm Mode, Decision, Strict authority, strict signals, light eligibility, Test posture, and verification. Strict steps require either an explicit user/project request or a recorded auto decision; plan approval or risk labels alone are not authority. An off-mode missing record may be repaired only as Mode: off / Decision: skipped without loading TDD. Missing/unsupported auto decisions return to plan review. An auto-light record is unsupported when any strict signal is present or when its tiny/low-risk/single-owner/no-behavior-change proof is incomplete. Only Decision: strict with recorded strict authority may authorize steps named Write failing test, Verify RED, GREEN, or REFACTOR. Do not infer strict during execution.
  6. If concerns: Raise them with your human partner before starting
  7. Before the first write, capture TaskStartSnapshot: root, HEAD, branch or detached state, upstream divergence, staged/unstaged/untracked paths, active Git operations, and git worktree list --porcelain. Preserve task-preexisting state; do not stash, reset, clean, or commit it.
  8. Reuse the current branch unless rules require independent history or another goal owns it. If justified, switch/create it in the current workspace when safe; a worktree still requires concurrent checkout or blocking dirty state.
  9. If no concerns: Create TodoWrite and proceed
Step 1.5: Long-Task Checkpoint Setup

If the plan has multiple tasks, may span sessions, or includes architecture / contract / workflow changes:

  1. Announce: "I'm using the long-task-continuation skill to keep this plan checkpointed and drift-aware."
  2. Load aegis:long-task-continuation.
  3. Create the initial checkpoint from the plan:
    • current todo
    • active task
    • completed tasks
    • evidence refs
    • blockers
    • next step
  4. Before each task, restate the current checkpoint.
  5. After each task, update checkpoint, evidence refs, and drift check.

Before a verification-driven unplanned edit, read retained PatchShape, CanonicalOwner, UpwardDrillSignal, outcome, and evidence refs. Route their comparison with the candidate to systematic-debugging before editing; it decides whether the directions converge. A proven independent canonical-owner root stays on the normal plan path.

Step 2: Execute Tasks

For interface/interaction changes, compose ui-ux-governance before affected edits and verify the plan's scoped experience criteria at the relevant user seam.

For each task:

  1. Mark as in_progress

  2. Follow each step exactly (plan has bite-sized steps)

  3. Before any new source-code path is added by a task, restate the plan's Change Necessity or create a compact one if the plan failed to carry it forward. Plan approval is not by itself proof that a new helper, small guard, new branch, fallback, adapter, or owner is necessary.

    text
    Change Necessity:
    - User-visible need:
    - No-change / non-code option:
    - Why code change is necessary:
    - Minimum change boundary:
    - Decision: no-change | docs/config-only | code-change | needs-clarification

    If the decision is not code-change, pause execution and return to plan review instead of editing. If the decision is code-change, carry the minimum boundary into the edit and verification scope.

  4. Before any non-trivial source edit, run the plan's Pre-Edit Complexity Check or create a compact one:

    Use using-aegis/references/complexity-governance.md for shared artifact classes, pressure signals, and over-budget handling.

    text
    Complexity Budget:
    - Artifact class:
    - Target files / artifacts:
    - Current pressure:
    - Projected post-change pressure:
    - Budget result: within-budget | at-risk | over-budget
    - Planned governance:
    
    Pre-Edit Complexity Check:
    - Target edit file:
    - Existing pressure signal:
    - Safer edit boundary:
    - Decision: edit-in-place | extract helper | add owner file | split task | pause for plan update
    
    Pre-Edit Owner-Fit Decision:
    - Edit intent: wiring-only | move-out / extract-first | local-fix-without-new-responsibility | new-responsibility | emergency / compatibility patch
    - Owner fit:
    - Safer edit boundary:
    - Decision: edit-in-place | extract helper | add owner file | split task | pause for plan update

    If the check contradicts the plan's file boundary, pause and return to plan review instead of silently stuffing logic into an overloaded owner. If the budget result is over-budget and the task does not also govern that overrun, stop execution and return to plan review rather than pushing the task through as if it were still atomic. When the target edit file is over-budget or mixed-purpose, new-responsibility must not be added in place by default. wiring-only, move-out / extract-first, and local-fix-without-new-responsibility may proceed only when they do not add a new responsibility and the verification boundary is clear. emergency / compatibility patch requires residual risk and a retirement trigger.

  5. Run verifications as specified

  6. The coordinator is the Git mutation owner. After the coherent Task passes its planned verification, use verification-before-completion before a default local commit, stage only task-owned paths, and read back HEAD, the committed file list, and remaining task delta. no commit, read-only, no-change, and failed-verification tasks create no normal commit.

  7. Update TodoCheckpointDraft and DriftCheckDraft before marking the task completed. When an Execution Readiness View exists, the drift check must explicitly compare the active slice against the view's intent lock, scope fence, baseline lock, compatibility boundary, retirement boundary, test obligations, and review gates.

  8. Mark as completed

Show full SKILL.md (194 more words)Show less
Step 3: Complete Development

After all tasks complete and verified:

  • if Aegis created a branch/worktree or the user requests integration handling, use aegis:finishing-a-development-branch;
  • otherwise use verification-before-completion, report the local task commit and Task clean / Repository clean, and do not invent merge/PR ceremony.

When to Stop and Ask for Help

STOP executing immediately when:

  • Hit a blocker (missing dependency, test fails, instruction unclear)
  • Plan has critical gaps preventing starting
  • You don't understand an instruction
  • Verification fails repeatedly

Ask for clarification rather than guessing.

When to Revisit Earlier Steps

Return to Review (Step 1) when:

  • Partner updates the plan based on your feedback
  • Fundamental approach needs rethinking

Don't force through blockers - stop and ask.

Remember

  • Review plan critically first
  • Follow plan steps exactly
  • Don't skip verifications
  • Reference skills when plan says to
  • Stop when blocked, don't guess
  • Do not create a branch merely because the current branch is main/master
  • Do not let task complexity, TDD, planning, or subagents alone trigger a worktree

Integration

Required workflow skills:

  • aegis:writing-plans - Creates the plan this skill executes
  • aegis:using-git-worktrees - Only when the approved Git lifecycle says a concurrent checkout is necessary
  • aegis:finishing-a-development-branch - Only when branch/worktree integration or cleanup is in scope

© GanyuanRan, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/executing-plans of GanyuanRan/Aegis.

Open the folder on GitHubat commit 4edf34e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in GanyuanRan/Aegis, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Executing Plans next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Executing Plans compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Executing Plans this skillGanyuanRan/Aegis1.3k1 repos~2.3kAutomated safety check: PassMIT
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone
Execumputun/cc-thingz483—~8kAutomated safety check: PassMIT
Autopilot End-to-End Buildernick-vels/skills403—~2.5kAutomated safety check: NotesMIT
Workflow Orchestrationvxcozy/workflow-orchestration115—~1kAutomated safety check: PassMIT
Blueprintbyungjunjang/jangpm-meta-skills121—~2kAutomated safety check: PassNone

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Categories

Questions about Executing Plans

What does Executing Plans do?

A skill your agent uses when executing a written implementation plan across sessions or with review checkpoints. Executing Plans is an agent skill from GanyuanRan/Aegis. Use when executing a written implementation plan across sessions or with review checkpoints.

When should I use Executing Plans?

Executing Plans fits situations like: executing a written implementation plan across sessions; with review checkpoints.

How do I install Executing Plans in Claude Code?

Run `npx skills add GanyuanRan/Aegis --skill executing-plans -a claude-code`. Or copy the skill folder (skills/executing-plans in GanyuanRan/Aegis) into .claude/skills/executing-plans in your project. Claude Code loads it when a task matches its description.

How do I install Executing Plans in Codex?

Run `npx skills add GanyuanRan/Aegis --skill executing-plans -a codex`. Or copy the skill folder (skills/executing-plans in GanyuanRan/Aegis) into .agents/skills/executing-plans in your project. Codex loads it when a task matches its description.

Can I use Executing Plans in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GanyuanRan/Aegis --skill executing-plans -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/executing-plans, .gemini/skills/executing-plans, .github/skills/executing-plans and .opencode/skills/executing-plans in your project.

What does Executing Plans need to run?

Going by SKILL.md and its folder, Executing Plans needs the command-line tools its instructions call (git).

Does Executing Plans access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Executing Plans safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Executing Plans use?

Executing Plans is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Executing Plans use?

About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Executing Plans?

Skills that share tags, products or a category with Executing Plans: Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Exec (umputun/cc-thingz, 483 stars), Autopilot End-to-End Builder (nick-vels/skills, 403 stars) and Workflow Orchestration (vxcozy/workflow-orchestration, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Executing Plans?

GanyuanRan (a GitHub user) maintains it in GanyuanRan/Aegis, which has 1,322 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 3, 2026.

Source: GanyuanRan/Aegis on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.