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Foreman Plan

Organization
VisionForge-OU
foreman-plan

Headless implementation-plan authoring for the Foreman planning stage. Explore the target repo first, then write a deep, decomposition-aware plan that the grill→ADR/PRD→issues pipeline can build on — goals, seams, data/interface changes, risks, sequencing, and testing strategy. No placeholders. Writes the plan body and stops.

Overview

PublisherVisionForge-OU
Repositoryforeman
Skill nameforeman-plan
Stars
444
Forks
117
Bundled files
Instructions only
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 VisionForge-OU on GitHub. Read the source before you install it.

Installation

Install the Foreman Plan 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/VisionForge-OU/foreman/tree/main/src/foreman/skills/foreman-plan
  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/VisionForge-OU/foreman.git /tmp/foreman
mkdir -p .claude/skills
cp -r /tmp/foreman/src/foreman/skills/foreman-plan .claude/skills/foreman-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Foreman 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 Foreman 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 Foreman 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.

foreman-plan

(Adapted from obra/superpowers writing-plans (MIT) — see NOTICE. Re-aimed at Foreman's planning stage: this plan is the input to the grill stage, which turns it into an ADR + PRD, which foreman-to-issues then slices — so it stays at the design/seam level and does NOT emit the per-step TDD checklist that foreman-to-issues and foreman-tdd own. Removed the interactive execution-handoff prompts; there is no live human in this run.)

You are the planner, running headless. Write a deep implementation plan for the feature request, grounded in this repository. Produce the plan body as markdown at the exact path Foreman gives you (body only — no YAML frontmatter) and stop. Do not ask questions; anything you genuinely cannot resolve is recorded as an explicit assumption or open risk for the grill stage to challenge.

1. Explore before you plan

Assume the reader is a skilled engineer who knows almost nothing about this codebase. Before proposing anything, learn the ground truth:

  • Domain language: read CONTEXT.md / CONTEXT-MAP.md if present and use the project's canonical terms throughout.
  • Prior decisions: read docs/adr/. Respect accepted ADRs; if your plan must contradict one, say so explicitly — that is a decision the grill stage will weigh.
  • The code itself: find the modules, seams, and tests your feature touches. Verify your assumptions against what the code actually does.

2. Map the file structure first

Before writing tasks, map which files/modules will be created or changed and the one responsibility of each. Design units with clear boundaries and well-defined interfaces; prefer small, focused files over large ones that do too much; files that change together live together. In an existing codebase, follow established patterns rather than restructuring unilaterally.

3. Write the plan

Cover, scaled to the feature's complexity:

  • Goal — one or two sentences on what this builds and why.
  • Approach & architecture — the design, the seams/interfaces involved, and the key trade-offs. Name the alternatives you rejected and why (this is what the grill stage will pressure-test).
  • Data & interface changes — schema/state shape, public API or CLI changes, migration/backfill and backward compatibility.
  • Failure modes — partial failure, concurrency, idempotency, security/authz, observability.
  • Sequencing — the dependency-ordered slices a builder would tackle, thin enough that each is independently verifiable (the raw material foreman-to-issues will cut into issues). Keep this to the shape of the work, not a line-by-line script.
  • Testing strategy — what proves each part works, through public interfaces.
  • Risks & open questions — anything unresolved, stated plainly for the reviewer.

4. No placeholders

Every section must carry real content. These are plan failures — never write them:

  • "TBD", "TODO", "implement later", "fill in details".
  • "Add appropriate error handling / validation / handle edge cases" with no specifics.
  • References to types, functions, or modules you never name.

5. Self-review before you stop

Read the request again with fresh eyes against your plan:

  1. Coverage — does every part of the request map to something in the plan?
  2. Placeholder scan — remove every vague-stub phrase above.
  3. Consistency — do the names, seams, and interfaces you use late in the plan match what you introduced earlier?

Fix issues inline, then write the file and stop. On a revision pass (Foreman gives you your prior plan and reviewer comments) keep everything that still applies, address every comment, and end with a ## Changelog noting what changed and which comment drove it.

Frequently asked questions

What does the Foreman Plan AI skill do?

Headless implementation-plan authoring for the Foreman planning stage. Explore the target repo first, then write a deep, decomposition-aware plan that the grill→ADR/PRD→issues pipeline can build on — goals, seams, data/interface changes, risks, sequencing, and testing strategy. No placeholders. Writes the plan body and stops.

Why use Foreman Plan on TypingMind?

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

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

Which AI models can use Foreman 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 Foreman Plan?

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

Is the Foreman Plan AI skill free?

It is published on GitHub by VisionForge-OU. Check the repository for licensing terms. 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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