sw-grill-me
Interview the user relentlessly, in rounds, until every decision in a plan is settled; facts are your job, decisions are theirs.
Skill by anton-abyzov
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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/anton-abyzov-sw-grill-me
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.
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About
Use cases: testing
Reviews
Write a reviewNo 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. Checked Oct 25, 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/sw-grill-me
What's inside
- Skill name
sw-grill-me- Description
- Interview the user relentlessly, in rounds, until every decision in a plan is settled; facts are your job, decisions are theirs. Use for "grill me", "interview me", "stress-test this plan".
- License
- MIT
- Instructions
- 94 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: missing
Files (2)
- SKILL.md
- credits.md · references/
SKILL.md (first lines)
# sw-grill-me: settle every decision before building
No one knows exactly what they want. The gap between the user and the agent is where
wrong builds come from, and a model never closes it alone: it fills the gaps with
guesses. This skill walks the plan's decision tree with the user until nothing is left
silently assumed. Use it at a project's start, before a change whose shape is unclear,
or whenever the user asks to be grilled. A clear, small request does not need it.
## How it runs
1. **Read first.** The code the plan touches, `.specweave/config.json`, the open
increment's spec.md (`specweave task list`) and `GLOSSARY.md` if it exists. Draft
the problem, the scope and the approach yourself.
2. **Map the tree.** List every open decision and what it depends on. Probe the
things users forget: scope and non-goals; users and flows; the data and the words
for it; integrations, installs, accounts and keys; failures and edge cases;
security and privacy; performance and scale; rollout and migration; how a machine
will check that it works.
3. **Facts are yours.** Anything the code, docs, config or a quick command can answer,
look up (in a subagent if your tool has them). Never ask the user what you could
find. A lookup still running blocks only the questions that depend on it.
4. **Ask in rounds.** Each round asks the whole frontier: every decision whose
prerequisites are already settled. Number the questions; give each one clause on
why it matters and your recommended answer, worded so "yes" accepts it. A question
that depends on another one in the same round waits for the next round.
5. **Recompute** after every answer: settled decisions unlock new ones, and some
answers make others moot. Then ask the next round.
6. **Stop** when the frontier is empty and the user confirms you share one picture.
"Enough" or "your call" stops early: every decision left gets your recommendation
as a stated default.
Plain text, one round per message:
```text
Q1 Auth provider: who signs users in? Changes the data model and pricing.
Recommended: Clerk, since the app already uses its React components.
Q2 Rate limits: per API key or per IP? NAT users share IPs.
Recommended: per API key.
```
If your tool has a structured question tool (as Claude Code and Codex do), ask the
round through it so apps such as SpecWithCode show a card: up to 4 questions per card,
header `Q1 Auth`, your recommendation first, free answers allowed, multi-select only
for "which of these services or installs". Split a larger frontier over several cards.
Never ask for a secret in a question: name the env var or use the app's secret request.
## The words (when GLOSSARY.md exists)
- When the user uses a term that conflicts with the glossary, say so at once: "The
glossary says an Order is one checkout; you mean one shipment. Which is it?"
- When a word is fuzzy ("account" for both the login and the billing account), propose
one precise term each.
- Test a boundary with a concrete scenario: "A customer pays for 3 items and one ships
late: one Order or two?"
- When the user states how something works, check the code agrees and surface any
contradiction.
- Write each settled term into `GLOSSARY.md` as sw-glossary describes, when it settles.
## Record
In the increment's spec.md, under `## Decisions` (before spec.md exists, hold them
until sw-increment creates it with `specweave create-increment`):
```markdown
## Decisions
### Asked
- D-01 Auth provider? → Clerk (user). Changes the data model and pricing.
### Defaulted (change any before sw-do)
- D-04 Rate-limit store → in-memory, Redis later (reversible).
### Open
- none
```
Apply every answer to Scope, the acceptance criteria and Approach, replacing any text
it contradicts. Keep a Decision line only when a later change could contradict it:
hard to reverse, surprising without context, or a real trade-off. Everything else is
just applied. Do not build until the user confirms; sw-do refuses to run unattended
while `### Open` has entries.
## Configuration
Every project has this skill. `planning.deepInterview: deep` in `.specweave/config.json`
makes sw-increment run it for every new increment; `critical` (the default) keeps
sw-increment to at most 5 questions.
## Manual path (no CLI)
Nothing here needs the CLI: read the files by hand, ask in rounds, and write the
decisions into spec.md yourself.
Adapted from mattpocock/skills `grilling` and `domain-modeling` (MIT, Copyright (c) 2026
Matt Pocock); see `references/credits.md`.From anton-abyzov/specweave, MIT.
More from anton-abyzov/specweave
- 0.783score
glossary
anton-abyzov
Build the shared language - interview the user term by term and write GLOSSARY.md with what each term means in the business, the data, the code and the UI.
SkillAFreshness: A★ 167Claude Code +9 - 0.783score
grill-me
anton-abyzov
Interview the user relentlessly, in rounds, until every decision in a plan is settled; facts are your job, decisions are theirs.
SkillAFreshness: A★ 167Claude Code +9 - 0.783score
sw-glossary
anton-abyzov
Build the shared language - interview the user term by term and write GLOSSARY.md with what each term means in the business, the data, the code and the UI.
SkillAFreshness: A★ 167Claude Code +9 - 0.781score
sw-handoff
anton-abyzov
Hand work to another tool, account or machine and pick it up there, in two words.
SkillAFreshness: A★ 167Claude Code +9 - 0.781score
handoff
anton-abyzov
Hand work to another tool, account or machine and pick it up there, in two words.
SkillAFreshness: A★ 167Claude Code +9 - 0.777score
done
anton-abyzov
Close a SpecWeave increment - every task done or skipped, specweave verify green, a fresh-context review, then specweave complete.
SkillAFreshness: A★ 167Claude Code +9 - 0.777score
increment
anton-abyzov
Plan work as a SpecWeave increment - one spec.md with Problem, Scope, numbered ACs, Approach and Tasks - before writing code.
SkillAFreshness: A★ 167Claude Code +9 - 0.777score
review
anton-abyzov
Adversarial review of an increment before it ships, by a fresh context or another model family; every finding cites path:line and is re-verified.
SkillAFreshness: A★ 167Claude Code +9 - 0.777score
sw-do
anton-abyzov
Work a SpecWeave increment task by task - claim, implement inside its Files, test, commit, done with evidence - alone, unattended or in lanes, then close.
SkillAFreshness: A★ 167Claude Code +9 - 0.777score
sw-done
anton-abyzov
Close a SpecWeave increment - every task done or skipped, specweave verify green, a fresh-context review, then specweave complete.
SkillAFreshness: A★ 167Claude Code +9 - 0.777score
sw-sync
anton-abyzov
Sync SpecWeave increments with GitHub, Jira or Azure DevOps - push progress, pull or import issues, check token and health, run setup.
SkillAFreshness: A★ 167Claude Code +9 - 0.777score
jev
anton-abyzov
Use Jev or optional OpenAI Decisions for bounded routing, shell-command risk, text screening and failure triage.
SkillAFreshness: A★ 167Claude Code +9
Signals
- Stars
- 167
- Forks
- 20
- Open issues
- 2
- Last commit (this folder)
- Oct 17, 2026 (14 days ago)
- Last release
- Oct 24, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/anton-abyzov/specweave
- Website
- spec-weave.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from anton-abyzov
- 0.783score
glossary
anton-abyzov
Build the shared language - interview the user term by term and write GLOSSARY.md with what each term means in the business, the data, the code and the UI.
SkillAFreshness: A★ 167Claude Code +9 - 0.783score
sw-glossary
anton-abyzov
Build the shared language - interview the user term by term and write GLOSSARY.md with what each term means in the business, the data, the code and the UI.
SkillAFreshness: A★ 167Claude Code +9 - 0.783score
grill-me
anton-abyzov
Interview the user relentlessly, in rounds, until every decision in a plan is settled; facts are your job, decisions are theirs.
SkillAFreshness: A★ 167Claude Code +9 - 0.781score
sw-handoff
anton-abyzov
Hand work to another tool, account or machine and pick it up there, in two words.
SkillAFreshness: A★ 167Claude Code +9 - 0.781score
handoff
anton-abyzov
Hand work to another tool, account or machine and pick it up there, in two words.
SkillAFreshness: A★ 167Claude Code +9 - 0.777score
project
anton-abyzov
Keep a project's goal, decisions, work items, artifacts and briefs portable across AI tools and accounts.
SkillAFreshness: A★ 167Claude Code +9
Done for you
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
sw-grill-me skill. Agent Mart. https://agentmart.dev/skills/anton-abyzov-sw-grill-me (last updated 2026-10-24)