Skip to content
Agentmart
Submit a tool

adrkit-grill

Use when a decision is still being shaped, or the user asks to grill a plan; interrogate the design against the active records until no branch is silently…

Skill by luochang212

IndexedMIT★ 1
Write a review

Chalk Labs

Need help deploying adrkit-grill?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/luochang212-adrkit-grill

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Use when a decision is still being shaped, or the user asks to grill a plan; interrogate the design against the active records until no branch is silently assumed, and record every settled choice.

Use cases: design

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/adrkit-grill

What's inside

Skill name
adrkit-grill
Description
Use when a decision is still being shaped, or the user asks to grill a plan; interrogate the design against the active records until no branch is silently assumed, and record every settled choice.
License
MIT
Instructions
24 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# ADR Kit Grill

Grilling is the co-design checkpoint an agent deep in a task will otherwise skip: it forces the conversation between the plan and the long-term decisions before anything settles.

Interrogate the user until the design tree has no silently assumed branch. This method is adapted from mattpocock/skills (MIT). For viewing existing records, use `adrkit-visualize`; grilling does not generate HTML by default.

## Method

1. Run `adrkit list`. Read the relevant `implemented/` records in full, check the relevant `proposed/` records for intent and the `rejected/` records for the bad cases they warn against, and consult `archived/` only when a task cites history. Recheck the inventory even if this conversation read it earlier; do not reopen a settled choice without naming that change. `adr/notes.md` is the settle-moment buffer; read its unshaped lines as candidate material for the tree. As the tree takes shape, search the active records for anything covering the same choice or mechanism, so a settled direction lands in the right record rather than a duplicate.
2. Map root questions and their dependent questions. Work in rounds: ask every question on the currently answerable frontier, each with genuine options and your recommendation. A downstream question waits until its prerequisite is answered. Format questions as `Q1 - <title>` with a clear recommendation. Word each question so "yes" accepts your recommended answer.
3. Research repository and environment facts yourself. Do not ask the user for facts you can inspect. For planned files, run `adrkit relevant <path>...`, then use `adrkit show <name>` to read matching records. Supplement matches with inventory reading for unscoped decisions; resolve incomplete-search diagnostics, and never treat zero matches as permission to skip existing decisions. Identify constraints that still hold, changed assumptions, and conflicts before settling a branch. Recheck when scope changes. Let answers reshape the tree; record which option or question unlocked each follow-up.
4. Stop questioning only when the frontier is empty. State the proposed shared understanding and wait for the user's confirmation before acting or writing records.

## Evidence

Ground factual observations in code you inspected (file:line or a symbol), a source link, or an attributed participant statement. Distinguish observations, inferences, and unknowns; code shows what exists, not why an alternative lost. Do not invent reasons or alternatives to fill a template. Keep unsupported rationale unknown and clarify it before presenting it as settled. If excerpts are truncated or a session does not match the change window, state the limitation rather than silently attaching it. Preserve available source anchors in ordinary Markdown within the existing sections; no new required field or section. Git identity, model identity, and passive approval do not establish who decided.

## Recording

## When to record

Preserve important context missing from existing sources, especially context held only in a user conversation. Honor explicit user requests to preserve a choice without making similar edits record-worthy.

Before creating or shaping a record, answer these four questions:

1. **Can code, tests, or Git explain this choice?** If yes, it is not an ADR.
2. **Does the record only say "we did X" while X is visible in the code?** If yes, it is not an ADR.
3. **Is the constraint or reason behind it hidden and durable enough to guide future choices?** If no, it is not an ADR.
4. **Is this a routine upgrade, naming change, format migration, visual tweak, or process ritual?** If yes, it is not an ADR.

Use judgment, not a score or an all-must-pass checklist. If nothing meaningful would be lost, or forgetting it would cost nothing, skip without a justification field, user approval, or deferred note. Notes are candidates, not commitments to ADRs.

| Usually leave to existing sources | Potentially worth preserving |
| --- | --- |
| Upgraded adr-kit to a new version; Git and the lockfile retain the event | A user-only constraint requires tools to work without public-network access, governing future dependencies and upgrades |
| Adjusted a button's spacing or shadow; styles and visual checks own the result | A durable accessibility constraint limits future visual changes, and its reason is otherwise hidden |
| Selected a library; the manifest already shows which one | A deployment restriction explains why an otherwise attractive library or runtime mechanism is unsuitable |

Judge information, not topic names; an existing record is not precedent for recording similar edits. Update only claims made false by a change; keep required paths and references valid. If volatile details force repeated synchronization, report the burden and suggest moving details to their existing owner or authorized archival when the rationale no longer guides work. Do not silently rewrite choices, ignore constraints, delete a record, or archive it without authorization.


Apply the same selection judgment after grilling; discussion alone does not require a record. If no outcome qualifies, summarize the conclusions in conversation and create no record. When an outcome qualifies, preserve the complete session tree in its Deliberation appendix, including local choices as context rather than separate ongoing obligations. Usually one primary record holds the tree; split only qualifying choices that can be superseded independently. An unshipped outcome goes to `adrkit propose`, even when the direction is settled. Fill `## Problem`, `## Proposal`, `## Alternatives considered`, `## Acceptance criteria`, and `## Risks` from actual answers. Keep the tree in an optional `## Deliberation` appendix: prefix questions `Q:`, options `A:`, tag nodes `[settled]`, `[rejected]`, or `[open]`, nest a follow-up beneath what raised it, mark the recommended option, and give rejected options a reason.

State who raised and settled the unshipped choice in prose; proposal front matter has no provenance fields. If the choice has already shipped, use `adrkit record` with truthful `--raised-by` and `--decided-by` declarations. Compare each settled choice with the active records before recording: a full replacement of an implemented decision is recorded and then resolved with `adrkit supersede --by` in the same change, a partial replacement keeps the older record active and links both, and a duplicate extends the existing record. Judge overlap from content; the CLI cannot infer it from titles alone. Run `adrkit validate <name>` after filling the record. Report which outcomes are proposals, not implemented guidance; `adrkit implement` is reserved for work that actually ships.

From luochang212/adr-kit, MIT.

More from luochang212/adr-kit

Signals

Stars
1
Forks
0
Open issues
0
Last commit (this folder)
Oct 14, 2026 (22 days ago)
Last release
Oct 23, 2026 (13 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from luochang212

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get adrkit-grill running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying adrkit-grill?

CallGet help
Cite this page

adrkit-grill skill. Agent Mart. https://agentmart.dev/skills/luochang212-adrkit-grill (last updated 2026-10-24)