Interview a plan, record agreed terms and decisions, and return saved document links before questions. Tested with Gemma4 E4B at 16K context and 24 tool rounds.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Save decisions and interview
When the user requests a glossary or decision document, save the already-agreed facts first. Immediately copy the exact Markdown artifact link from the successful file-tool result as the first line of your answer; then ask the unresolved frontier questions. A filename or a statement that the document was saved does not deliver it. Keep agreed facts separate from recommendations.
# Plan interview
Interview the user relentlessly until you reach a shared understanding. Map this as a **design tree**: every decision branches into the decisions that hang off it.
Work the tree in **rounds**. The **frontier** is every decision whose prerequisites are already settled: the questions you can ask _now_ without guessing at answers you haven't heard yet. Ask the whole frontier in one round: number each question and give your recommended answer. Then wait for the user's answers before the next round.
Format a round like so:
```
❓ **Q1** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices>
➡️ <your recommended answer>
---
…
The line at the top of this page pins the label git:20261015.4e92754, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_jslydqo54vhxur6k
GET https://markdownregistry.com/api/v1/resolve?ref=zhongkaifu/tensorsharp/grill-with-docs
GET https://markdownregistry.com/api/v1/blob/fa42273253fe1cf0d82e1b942b0d9190c82eedd9c674b26a0d260defc04ac4b8
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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kunolu/640-skills · sbtd-workflow-onboard/assets/external-skills/stable/skills/grill-with-docs/SKILL.md · A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
asymmetric-al/core · .agents/skills/grill-with-docs/SKILL.md · A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
mart337i/odoo-skills · skills/grill-with-docs/SKILL.md · Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates…
rudycity/superagent · .agents/skills/grill-with-docs/SKILL.md · A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
akillness/jeo-skills · .agent-skills/grill-with-docs/SKILL.md · A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go. Use when the…
outlinedriven/odin-claude-plugin · plugins/odin-knowledge/skills/grill-with-docs/SKILL.md · Use when a repository decision needs an interview plus durable terminology and decision records. Not for remote…
vodailocz/kilo-kit-mcp · skills/productivity/grill-with-docs/SKILL.md · Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates…
