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Foreman Grill Docs

Organization
VisionForge-OU
foreman-grill-docs

Headless grilling pass that challenges an approved implementation plan against the existing codebase and domain model, then writes an ADR draft and a PRD draft into the Foreman feature directory. Self-answers every question it can from the code/docs and surfaces the rest as an "Open questions for reviewer" block instead of interviewing a live user.

Overview

PublisherVisionForge-OU
Repositoryforeman
Skill nameforeman-grill-docs
Stars
444
Forks
117
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by VisionForge-OU on GitHub. Read the source before you install it.

Installation

Install the Foreman Grill Docs 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-grill-docs
  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-grill-docs .claude/skills/foreman-grill-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Foreman Grill Docs 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 Grill Docs 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 Grill Docs 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.

You are running headless, with no live human in the loop. Your job is to grill the approved implementation plan as hard as a senior engineer would in a live design review — but instead of asking the human questions one at a time, you self-answer everything you can and defer only what you genuinely cannot resolve to a written review gate.

Walk the full design decision tree. For each branch:

  1. Try to answer it yourself first by exploring the target codebase, its CONTEXT.md / CONTEXT-MAP.md glossary, and its docs/adr/ log. If the code or the docs settle the question, record the answer in the draft and move on.
  2. Only if it is genuinely unresolvable from available evidence — because it needs a product call, a priority trade-off, or knowledge that lives only in the reviewer's head — add it to the ## Open questions for reviewer block at the very top of the relevant draft.

Do NOT ask the user anything interactively. Do NOT wait for input. Produce the drafts and stop.

Foreman injects, in the prompt:

  • The path to the approved plan.md.
  • The feature directory .foreman/features/<slug>/ where you must write adr.md and prd.md.
  • On a revision pass, the previous adr.md/prd.md and the reviewer's comments (which double as answers to the previous open questions).

1. Explore before you challenge

Read the plan. Then explore the target repo to ground every claim:

  • Domain language: read CONTEXT.md (or follow CONTEXT-MAP.md to the right context). Use the project's canonical terms throughout both drafts. If the plan uses a term that conflicts with the glossary, flag the conflict and prefer the glossary term.
  • Prior decisions: read docs/adr/. Respect accepted ADRs; if the plan contradicts one, that is a finding — either the plan is wrong or a new ADR supersedes the old one. Say which.
  • The code itself: verify the plan's assumptions about how things currently work. When the plan says "X works like Y", check whether the code agrees. Surface every contradiction.

2. Grill across every dimension

Challenge the plan on: domain-model fit, data/schema shape, failure modes and partial failure, concurrency, idempotency, security and authorization, migration and backfill, observability, testability and seams, performance envelope, backward compatibility, and rollout/rollback. For each dimension, either resolve it in the draft or raise an open question.

Stress-test relationships with concrete scenarios. Invent specific edge-case scenarios and force the boundaries between concepts to be precise.

3. Update the target repo's living docs inline

As decisions crystallise, update the target repo's own documentation right there, not in a batch:

  • Sharpen or add glossary terms in CONTEXT.md using CONTEXT-FORMAT.md. Create CONTEXT.md lazily (only once the first term is worth recording). It is a glossary only — never implementation detail.
  • Record genuinely architectural, hard-to-reverse, trade-off decisions as ADRs in docs/adr/ using ADR-FORMAT.md. Offer ADRs sparingly (all three tests in ADR-FORMAT must hold). Create docs/adr/ lazily.

4. Write the two Foreman drafts

Write adr.md and prd.md into the feature directory. Each begins with the open questions block (see format below). Immediately after the open-questions block in both drafts, emit a ## Decisions made on your behalf section: ≤10 bullets, each a single audit-judgment call you settled autonomously that the reviewer should be able to sanity-check without re-reading the prose (e.g. "Chose optimistic locking over a mutex because the contention window is sub-millisecond"). These are decisions you made and resolved — distinct from the open questions you deferred. Keep each bullet to one line; if you genuinely made no non-obvious calls, write a single line: _None — no judgment calls beyond the plan._.

The ADR draft captures the architectural decision narrative for this feature; the PRD draft follows the PRD template in the foreman-to-prd skill (problem, solution, user stories, implementation decisions, testing decisions, out of scope, further notes).

5. On a revision pass

When Foreman re-runs you with reviewer comments:

  • Treat each reviewer comment as the answer to an open question (or as new guidance). Resolve that branch of the decision tree and fold the resolution into the body.
  • Remove every question the comments answered from the open-questions block.
  • Surface any newly uncovered questions that the answers expose.
  • Append a short ## Changelog entry at the bottom of each revised draft noting what changed in this version and which comments drove it.

At the very top of BOTH adr.md and prd.md, immediately after the title:

md
## Open questions for reviewer

- <a question you genuinely could not resolve from code/docs>
- <another>

Rules:

  • This block is the only way you communicate with the reviewer. Put nothing here you could have answered yourself.
  • If you resolved everything, write the block with a single line: _None — all questions resolved from the codebase and prior decisions._
  • Foreman will not let the reviewer approve a draft while any unresolved bullet remains. The grill loop is complete only at zero open questions AND reviewer approval.
  • A question the reviewer has answered (via a comment) must be removed, not left struck through, on the next pass.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Foreman Grill Docs AI skill do?

Headless grilling pass that challenges an approved implementation plan against the existing codebase and domain model, then writes an ADR draft and a PRD draft into the Foreman feature directory. Self-answers every question it can from the code/docs and surfaces the rest as an "Open questions for reviewer" block instead of interviewing a live user.

Why use Foreman Grill Docs on TypingMind?

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

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

Which AI models can use Foreman Grill Docs?

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 Grill Docs?

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

Is the Foreman Grill Docs 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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