grilling
Grill the user relentlessly about a plan, decision, or idea.
Skill by sreejithraman
Chalk Labs
Need help deploying grilling?
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.
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/sreejithraman-grilling
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.
About
Use cases: testing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
grilling- Description
- Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
- License
- MIT
- Instructions
- 19 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
Settle the decisions that change the result, one round of questions at a time. 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 a frontier decision only when it would change the outcome and you can't tell what the user would choose. Always ask one that risks data loss, exposes private data, weakens security, or can't be undone. Put the rest in one **Assuming** block after the questions, one line each, including any detail you can recommend that is easy to change later. An answer that picks a direction settles that decision; don't ask the user to justify it. Ask the questions in one round, highest stakes first: number each question and give your recommended answer. Then wait for the user's answers before the next round. Each question should be formatted like so: ``` ❓ **Q1** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices> ➡️ <your recommended answer> ``` Each round the user answers reshapes the tree — settled decisions push the frontier outward and unblock questions that depended on them. Recompute the frontier and ask the next round. A question whose answer depends on another question still open in this round belongs to a _later_ round, not this one. Finding _facts_ is your job, never the user's. When a frontier question needs a fact from the environment (filesystem, tools, etc.), dispatch a sub-agent to find it — don't ask the user for anything you could look up yourself. Don't block on it: a running exploration is an unsettled prerequisite, so only the questions downstream of it wait for the sub-agent to report — ask the rest of the frontier now. While the user's answers are pending, keep doing discovery that no open answer changes and that changes nothing outside the session: reading, lookups, and throwaway experiments. The session is done when no open decision would change the result and nothing is left silently assumed. The user's substantive answers are their confirmation: answering a round accepts its Assuming block, except the lines they correct. Return the decisions and one Assuming block that gathers every round's assumptions to your caller, or give them to the user when they started the grilling. A decision you were required to ask stays open until the user answers it; never act on it as assumed. Grilling starts no work the request didn't already authorize.
From sreejithraman/SreeStack, MIT.
More from sreejithraman/SreeStack
- 0.592score
agent-login
sreejithraman
Use when signing into applications, setting up or diagnosing agent credential access, or supplying and managing approved credentials for authentication.
SkillAFreshness: A★ 1Claude Code +9 - 0.592score
app-intents
sreejithraman
App Intents work on Apple platforms.
SkillAFreshness: A★ 1Claude Code +9 - 0.592score
app-store-connect
sreejithraman
Use when asked to check App Store Connect builds, investigate TestFlight crashes or feedback, distribute betas, prepare or submit a release, fix App Review…
SkillAFreshness: A★ 1Claude Code +9 - 0.592score
engineering-principles
sreejithraman
Guide engineering design and implementation decisions.
SkillAFreshness: A★ 1Claude Code +9 - 0.589score
architect
sreejithraman
Sketch caller usage, types, signatures, and module structure, then stay in the loop while implementation fills in.
SkillAFreshness: A★ 1Claude Code +9 - 0.589score
animate
sreejithraman
Design, implement, and tune web, SwiftUI, and UIKit interface motion.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
correct
sreejithraman
Investigate and prevent recurring agent mistakes in a repository.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
goal-swarm
sreejithraman
Pursue an explicitly requested goal or swarm through its finish line.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
arena
sreejithraman
Produce independent candidates for one artifact, pick a base, and graft the strongest parts into one verified result.
SkillAFreshness: A★ 1Claude Code +9 - 0.581score
gauntlet-loop
sreejithraman
Turn a goal into a short, paste-ready prompt for a builder-and-critic loop against a real quality bar.
SkillAFreshness: A★ 1Claude Code +9 - 0.579score
change-safety
sreejithraman
Assess a code change's blast radius beyond its diff.
SkillAFreshness: A★ 1Claude Code +9 - 0.579score
code-why
sreejithraman
Investigate code history to explain a design decision's rationale, when and why a regression was introduced, or whether an old constraint still applies.
SkillAFreshness: A★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 5, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/sreejithraman/SreeStack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.565score
grilling
alp82
Grill the user relentlessly about a plan, decision, or idea.
SkillBFreshness: B★ 16Claude Code +9 - 0.344score
grilling
tajo9128
Grill the user relentlessly about a plan, decision, or idea.
SkillAFreshness: A★ 4Claude Code +9 - 0.341score
grilling
FastTrackStudios
Grill the user relentlessly about a plan, decision, or idea.
SkillAFreshness: A★ 2Claude Code +9 - 0.339score
grilling
PanPanFR
Grill the user relentlessly about a plan, decision, or idea.
SkillBFreshness: B★ 12Claude Code +9 - 0.336score
grilling
gabimoncha
Grill the user relentlessly about a plan, decision, or idea.
SkillBFreshness: B★ 10Claude Code +9 - 0.331score
grilling
xs1128
Grill the user relentlessly about a plan, decision, or idea.
SkillAFreshness: A★ 1Claude Code +9 - 0.323score
grilling
EstebanForge
Grill the user relentlessly about a plan, decision, or idea.
SkillBFreshness: B★ 4Claude Code +9 - 0.318score
grilling
christensenjo
Grill the user relentlessly about a plan, decision, or idea.
SkillAFreshness: AClaude Code +9 - 0.312score
grilling
GongYuanCaiJi
Grill the user relentlessly about a plan, decision, or idea.
SkillBFreshness: B★ 3Claude Code +9 - 0.310score
grilling
ishikisiko
Grill the user relentlessly about a plan, decision, or idea.
SkillBFreshness: B★ 1Claude Code +9 - 0.297score
grilling
ferntheplant
Grill the user relentlessly about a plan, decision, or idea.
SkillBFreshness: BClaude Code +9 - 0.297score
grilling
technosheen
Grill the user relentlessly about a plan, decision, or idea.
SkillBFreshness: BClaude Code +9
More from sreejithraman
- 0.592score
engineering-principles
sreejithraman
Guide engineering design and implementation decisions.
SkillAFreshness: A★ 1Claude Code +9 - 0.592score
app-intents
sreejithraman
App Intents work on Apple platforms.
SkillAFreshness: A★ 1Claude Code +9 - 0.592score
app-store-connect
sreejithraman
Use when asked to check App Store Connect builds, investigate TestFlight crashes or feedback, distribute betas, prepare or submit a release, fix App Review…
SkillAFreshness: A★ 1Claude Code +9 - 0.592score
agent-login
sreejithraman
Use when signing into applications, setting up or diagnosing agent credential access, or supplying and managing approved credentials for authentication.
SkillAFreshness: A★ 1Claude Code +9 - 0.589score
animate
sreejithraman
Design, implement, and tune web, SwiftUI, and UIKit interface motion.
SkillAFreshness: A★ 1Claude Code +9 - 0.589score
architect
sreejithraman
Sketch caller usage, types, signatures, and module structure, then stay in the loop while implementation fills in.
SkillAFreshness: A★ 1Claude Code +9
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 grilling 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.
Cite this page
grilling skill. Agent Mart. https://agentmart.dev/skills/sreejithraman-grilling (last updated 2026-10-24)