Agent skill

Prepare Execution Plan

by digipulse-engineering in digipulse-engineering/GAAI-framework

Decompose a high-level delivery plan into a precise, file-level execution sequence with explicit ordering, edge cases, and test checkpoints.

Custom licenceAuto-check passed

Install Prepare Execution Plan

skills CLI
$ npx skills add digipulse-engineering/GAAI-framework --skill prepare-execution-plan -a claude-code

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

GitHub CLI
$ gh skill install digipulse-engineering/GAAI-framework prepare-execution-plan --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/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.gaai/core/skills/delivery/prepare-execution-plan .claude/skills/prepare-execution-plan && 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
prepare-execution-plan
GitHub stars
163
Token cost
~2.4k tokens
SKILL.md length
1,063 words
Files
1
Skills in repo
55
Repo updated
First seen
Licence
Custom licence

At a glance

Decompose a high-level delivery plan into a precise, file-level execution sequence with explicit ordering, edge cases, and test checkpoints.

  • Works in 7 steps: Required Skills Contract Resolution → Codebase Mapping → Implementation Sequence → …
  • SKILL.md covers Purpose / When to Activate, Process, Outputs and Quality Checks, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prepare Execution Plan is an agent skill from digipulse-engineering/GAAI-framework. Decompose a high-level delivery plan into a precise, file-level execution sequence with explicit ordering, edge cases, and test checkpoints. Activate after delivery-high-level-plan for complex or multi-phase Stories before implementation begins.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Works with any filesystem-based AI coding agent

The repository describes itself as: Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until…

Example prompts

  • “/prepare-execution-plan”

Requirements

  • Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent

Workflow steps

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

  1. Required Skills Contract Resolution
  2. Codebase Mapping
  3. Implementation Sequence
  4. Edge Cases and Error Paths
  5. Test Sequence
  6. Risk Register
  7. Consistency Gate

What it can do on your machine

Read from SKILL.md and the folder at commit a26ea7a. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

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

  • Network

    No URLs in SKILL.md.

    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.

  • Compatibility

    Works with any filesystem-based AI coding agent

    From compatibility in the SKILL.md frontmatter.

Context cost

Prepare Execution Plan loads about 2.4k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 1,063 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,063 words (~2,377 tokens).

“Activate after delivery-high-level-plan when the Story meets at least one of:”

— opening of SKILL.md by digipulse-engineering, Custom licence
name
prepare-execution-plan
compatibility
Works with any filesystem-based AI coding agent
license
ELv2
metadata.author
gaai-framework
metadata.version
1.0
metadata.category
delivery
metadata.track
delivery
metadata.id
SKILL-DEL-006
metadata.updated_at
2026-02-26
metadata.status
stable
inputs
contexts/artefacts/plans/*.plan.md (from delivery-high-level-plan), contexts/artefacts/stories/** (validated), contexts/rules/**, memory_context_bundle…
outputs
contexts/artefacts/plans/{id}.execution-plan.md

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .gaai/core/skills/delivery/prepare-execution-plan of digipulse-engineering/GAAI-framework.

Open the folder on GitHubat commit a26ea7a

Compare with similar skills

Prepare Execution Plan 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.

Prepare Execution Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prepare Execution Plan this skilldigipulse-engineering/GAAI-framework163—~2.4kAutomated safety check: PassCustom licence
Preparing Deliveryrapidaai/voice-ai744—~678Automated safety check: PassCustom licence
Audit Preparationsickn33/agentic-awesome-skills47k1 repos~5.3kAutomated safety check: PassMIT
Release PreparationCherryHQ/cherry-studio52k—~4.3kAutomated safety check: PassAGPL-3.0
Delivery Gateaffaan-m/ECC274k—~1.3kAutomated safety check: PassMIT
Prepare Paperclip PRpaperclipai/paperclip98k—~954Automated safety check: PassMIT

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Questions about Prepare Execution Plan

What does Prepare Execution Plan do?

Decompose a high-level delivery plan into a precise, file-level execution sequence with explicit ordering, edge cases, and test checkpoints. Prepare Execution Plan is an agent skill from digipulse-engineering/GAAI-framework. Decompose a high-level delivery plan into a precise, file-level execution sequence with explicit ordering, edge cases, and test checkpoints.

How do I install Prepare Execution Plan in Claude Code?

Run `npx skills add digipulse-engineering/GAAI-framework --skill prepare-execution-plan -a claude-code`. Or copy the skill folder (.gaai/core/skills/delivery/prepare-execution-plan in digipulse-engineering/GAAI-framework) into .claude/skills/prepare-execution-plan in your project. Claude Code loads it when a task matches its description.

How do I install Prepare Execution Plan in Codex?

Run `npx skills add digipulse-engineering/GAAI-framework --skill prepare-execution-plan -a codex`. Or copy the skill folder (.gaai/core/skills/delivery/prepare-execution-plan in digipulse-engineering/GAAI-framework) into .agents/skills/prepare-execution-plan in your project. Codex loads it when a task matches its description.

Can I use Prepare Execution Plan 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 digipulse-engineering/GAAI-framework --skill prepare-execution-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prepare-execution-plan, .gemini/skills/prepare-execution-plan, .github/skills/prepare-execution-plan and .opencode/skills/prepare-execution-plan in your project.

What does Prepare Execution Plan need to run?

SKILL.md names no scripts, command-line tools or credentials: Prepare Execution Plan is instructions for the agent only. Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent.

Does Prepare Execution Plan access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prepare Execution Plan 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 Prepare Execution Plan use?

Prepare Execution Plan has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Prepare Execution Plan use?

About 2.4k tokens (SKILL.md is roughly 9.5k 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 Prepare Execution Plan?

Skills that share tags, products or a category with Prepare Execution Plan: Preparing Delivery (rapidaai/voice-ai, 744 stars), Audit Preparation (sickn33/agentic-awesome-skills, 47k stars), Release Preparation (CherryHQ/cherry-studio, 52k stars) and Delivery Gate (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prepare Execution Plan?

digipulse-engineering (a GitHub organization) maintains it in digipulse-engineering/GAAI-framework, which has 163 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on September 29, 2026.

Source: digipulse-engineering/GAAI-framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.