Execute Plan

Community

danielvm-git

execute-plan

Batch-execute tasks from the active epic capsule sequentially, with a human checkpoint after each step. Use when user has an approved plan and wants step-by-step oversight.

Overview

Publisher	danielvm-git
Repository	`bigpowers`
Skill name	`execute-plan`
Stars	206
Forks	18
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by danielvm-git on GitHub. Read the source before you install it.

Installation

Install the Execute Plan AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/danielvm-git/bigpowers.git /tmp/bigpowers
mkdir -p .claude/skills
cp -r /tmp/bigpowers/skills/execute-plan .claude/skills/execute-plan

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Execute Plan in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Execute Plan on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Execute Plan is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Execute Plan

Execute tasks from the active epic (specs/epics/eNN-slug/epic.yaml story tasks[]) one at a time, showing evidence after each step before proceeding.

HARD GATE — Do NOT proceed if on main or master. Run kickoff-branch first.

HARD GATE — Active epic must exist with runnable verify on each task. If missing, run plan-release then plan-work or build-epic.

Process

1. Read the plan

Read specs/state.yaml (active_epic, active_story) and the matching specs/epics/*/epic.yaml. Parse depends-on in task descriptions for execution waves.

CONTEXT ISOLATION — Spawn each skill with a fresh context window. Pass decisions only through specs/state.yaml handoff — never rely on prior chat history.

Confirm with the user: step count, skip/reorder, stop-after step.

2. Execute step by step

For each task in the active story:

a. Announce — task desc and verify command.

b. Execute — code or delegate-task / dispatch-agents for waves.

c. Run verify — must be green before advancing.

d. Log — non-obvious decisions in specs/state.yaml under decisions[] or handoff block.

e. Checkpoint — ask to proceed unless autonomous mode requested.

f. Story UAT — after last task, run manual verification script from story notes or verify-work.

On verify failure: fix and re-run; never advance on red.

Update specs/execution-status.yaml when a story/epic completes (bash scripts/sync-status-from-epics.sh or direct edit).

3. Blockers

Report blocker; ask skip/adapt/stop; update epic capsule if plan changes.

4. Final report

Suggest: verify-work → run-evals → audit-code → simulate-agents → commit-message → release-branch

Rules

Loop until behavioral correctness is verified: if a verify command passes but the observed behavior is still wrong, return to step 1 and run the execution cycle again.

Frequently asked questions

What does the Execute Plan AI skill do?

Batch-execute tasks from the active epic capsule sequentially, with a human checkpoint after each step. Use when user has an approved plan and wants step-by-step oversight.

Why use Execute Plan on TypingMind?

Because you install it once and use it with any model. Execute Plan is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Execute Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielvm-git/bigpowers/tree/main/skills/execute-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Execute Plan?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Execute Plan?

As many as you like. As long as a model supports skills, you can use Execute Plan with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Execute Plan AI skill free?

Yes. It is published on GitHub by danielvm-git under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Execute Plan

Process

1. Read the plan

2. Execute step by step

3. Blockers

4. Final report

Rules

Frequently asked questions

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