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Execute Plan Tasks

Organization
eai-org
execute-plan-tasks

Execute one task of a plan's task breakdown, then stop for review.

Overview

Publishereai-org
Repositoryagent-toolkit
Skill nameexecute-plan-tasks
Stars
80
Forks
18
Bundled files
Instructions only
LicenseMIT
Links
  • 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 eai-org on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/eai-org/agent-toolkit/tree/main/skills/execute-plan-tasks
  4. 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.
2

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/eai-org/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/execute-plan-tasks .claude/skills/execute-plan-tasks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Execute Plan Tasks 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 Tasks 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 Tasks 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 tasks

One task per run — implement it, verify it, tick it, stop. The review between tasks is the point; never carry on into the next.

Invocation: /execute-plan-tasks <plan-path> [task-id]

Pick the task

Read the plan whole — summary, conventions and overrides, the steps the task cites, acceptance criteria — then its ## Tasks section, and the decisions log beside it when it exists (<id>-<slug>.DECISIONS.md, <id>-<slug> being the plan filename without .PLAN.md): a logged deviation outranks the plan text it deviates from. Ambiguous or missing plan path → ask. Several task sections → ask which one this run works from. No task section → stop and point at /split-plan-tasks.

task-id given → that task; none → the first unticked one in order. A range or a whole group → run its first task only, saying the rest need their own runs; a task already ticked → say so and ask whether to redo it. Its dependencies — earlier tasks in its group, plus every task in each group its Depends on line names — must be ticked; name any unticked dependency and ask before proceeding.

Done when the chosen task, its steps, its acceptance criteria, its dependency state and any logged deviation that touches it are stated.

Execute

  • Scope is the task's steps, nothing else: no work belonging to a later task, no drive-by refactors. Work the plan calls for that no task covers → report it, don't absorb it.
  • The plan's conventions and overrides bind every task, this one included.
  • Never guess. What the code settles, settle by reading it; what it doesn't goes to the user as one question carrying your recommendation, worded via explain-in-simple-language when available. Append each settled deviation from the plan, and its why, as one line to the decisions log beside the plan (<id>-<slug>.DECISIONS.md), creating it if absent.
  • A copy is not exempt. A file the plan says to copy or mirror was written for its own runtime and tooling: check each setting fits this task's target before copying. A misfit is a deviation — settle and log it as above.
  • Fail-first test — a step requiring its test to fail before the fix, however the plan words it: write the test, run it and see it fail on the bug (its assertion, or the error the bug raises; a broken import or fixture is no failure seen), only then write the fix; never skip the run because the fix looks obvious. Rework the test within the step until it fails that way; until it does, no fix is written, and a test that cannot be made to fail that way is blocked outright (below). Once the fix is in, rerun the same test and see it pass.
  • Blocked outright — a step the codebase contradicts, an unmet prerequisite — → stop, leave the task unticked, report what blocks it; leave the edits made so far in place and list them with the blocker, never revert on your own.

Done when every step of the task is implemented, or its blocker reported.

Verify

Run the task's Done when check, then the validation the project's governing docs name — failing that, its toolchain's lint, tests and build; nothing runnable → say so rather than invent a command. Fix what this task broke; a failure that predates it or lands outside its scope is reported, never fixed silently. A Done when or AC only a human can check is handed to the user as the exact steps to perform, never run by proxy or claimed.

Done when both pass or are handed to the user, or every remaining failure is reported with why it stands.

Close

Tick the task - [ ] → - [x], plus each acceptance criterion it Satisfies whose every satisfying task is now ticked — the plan's only edits, made once verification passed or every remaining failure is reported as predating the task or outside its scope, never the task's own Done when or AC checks: those pass or are handed to the user. Name the ACs still partly open. A check handed to the user never holds the task's tick back, while a manual-only AC stays unticked even when its tasks are ticked; both are listed as pending the user's check. Then print the files touched, any deviation logged, any fail-first test's failure seen in one line, and the task's Commit subject (absent → propose one in the repo's style) to commit once the change is reviewed. Finally hand off the next unticked task as its own fenced block under the label "Next task:", holding a single copy-pasteable launch command — session name and prompt combined, in the launch syntax of the agent tool in use (vendor-agnostic — claude below is only the example; <slug> is the plan filename without id prefix or extension):

claude --name execute-tasks-<slug> "/execute-plan-tasks <plan-path> <next-task-id>"

Then offer the alternative: one line offering to clear the current session (vendor-agnostic — /clear is only the example) and run the next phase here, then the same labelled block(s) with the bare prompt, /execute-plan-tasks <plan-path> <next-task-id>.

When the finished task completes its group, say so first: the group is one PR, so its tasks get committed and reviewed before the next group starts. With /self-review available, add in both forms, ahead of the next-task block, a block labelled "Review the group first:" (same <slug>), also when the no-task-left line replaces the next-task block:

claude --name self-review-<slug> "/self-review"

When no task is left, say in place of the next-task blocks that the plan is done, or, while an AC is pending the user's check, that its tasks are done and acceptance is pending.

Done when the touched files, any fail-first test's failure seen, the commit subject, the checks pending the user, both /self-review forms when a group completed and it is available, and either both next-task forms or the no-task-left line are printed.

Boundaries

  • Never commit, push, or open a PR.
  • The plan file's only changes are those checkboxes; the decisions log is appended to, never rewritten.

Frequently asked questions

What does the Execute Plan Tasks AI skill do?

Execute one task of a plan's task breakdown, then stop for review.

Why use Execute Plan Tasks on TypingMind?

Because you install it once and use it with any model. Execute Plan Tasks 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 Tasks in TypingMind?

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

Which AI models can use Execute Plan Tasks?

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 Tasks?

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

Is the Execute Plan Tasks AI skill free?

Yes. It is published on GitHub by eai-org 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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