brutal-grill
Repo-grounded requirements interrogation that resolves related planning decisions in batched rounds.
Skill by sssemil
Chalk Labs
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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.
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About
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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/brutal-grill
What's inside
- Skill name
brutal-grill- Description
- Repo-grounded requirements interrogation that resolves related planning decisions in batched rounds. Use when a feature, refactor, or system change still has material product or engineering choices, or when another Brutal planning skill needs a decision-complete requirements brief.
- License
- MIT
- Instructions
- 68 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Brutal Grill Resolve every material planning decision without asking the user for facts the repository can supply. ## Ground The Discussion 1. Read applicable `AGENTS.md`, `CLAUDE.md`, `TARGET.md`, and referenced workflow documents. 2. Read `CONTEXT.md` or the relevant entry from `CONTEXT-MAP.md`, plus ADRs in the affected area. Use their domain language and surface contradictions. 3. Inspect affected modules, callers, schemas, migrations, interfaces, tests, and prior art with `rg` and `rg --files`. 4. Separate discoverable facts from decisions. Investigate facts; ask only for decisions. ## Grill In Decision Rounds Ask every currently known, relevant, independent question in one round. Two questions are independent only when neither answer can change the other's necessity, wording, or options. After each response, investigate newly exposed branches and batch the questions they make necessary. Ask nothing when repository evidence resolves every decision. Use structured user input when it is available, the whole round has at most three questions, and each question has 2-3 mutually exclusive options. If the tool is unavailable or the round does not fit, use one numbered questionnaire and request a compact reply such as `1B 2A 3: custom answer`. For each decision question: - give only the minimum repository evidence that makes it necessary - offer meaningful options with one-line tradeoffs - recommend one option in one line Give a default or example, not an invented recommendation, for genuinely open-ended input. Keep planning questions separate from caller-owned final approval, write permission, and safety or model-fallback consent. Resolve contradictions immediately. Prefer concrete scenarios, payloads, state transitions, failure examples, and boundary values over abstract questions. Continue until the brief covers: - goal, actors, and observable behavior - inputs, outputs, interfaces, and compatibility constraints - scope, anti-goals, and existing behavior that must remain stable - empty, invalid, partial-failure, concurrency, and dependency-failure behavior - security, privacy, performance, observability, migration, and rollout where relevant - acceptance scenarios and 1-3 invariants Skip categories that have no bearing on the work. Never turn the list into a generic questionnaire. Resolve low-impact choices from repository precedent and record the assumption; ask only when the choice materially changes behavior, scope, risk, compatibility, or delivery. ## Return A Requirements Brief Return a compact brief of confirmed requirements, boundaries, invariants, constraints, assumptions, acceptance scenarios, and unresolved decisions. Reference evidence instead of repeating the investigation or conversation. Mark the brief decision-complete only when every high-impact branch is resolved and the repository evidence agrees with it. Do not persist planning artifacts or edit glossary and ADR files. Pass proposed domain-language or architectural changes to `brutal-spec` for approval.
From sssemil/SKILLS, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 22, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/sssemil/SKILLS
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from sssemil
- 0.512score
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sssemil
Design, review, prototype, and evaluate JEPA models, joint-embedding predictive architectures, V-JEPA/I-JEPA-style representation learners, action-conditioned…
SkillCFreshness: C★ 2Claude Code +9 - 0.509score
brutal-pr-review
sssemil
Review an open pull request with Brutal multi-perspective scrutiny, snapshot-safe BRUTAL.md context, and provider-native findings.
SkillCFreshness: C★ 2Claude Code +9 - 0.509score
brutal-swarm
sssemil
Drain a BRUTAL.md task graph through parallel isolated workers and stacked pull requests.
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
brutal-pr-fix-loop
sssemil
Run a bounded provider-neutral pull-request review and finding-fix loop for up to three passes.
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
brutal-plan
sssemil
Orchestrate repo-grounded grilling, specification review, cohesive ticket design, and work-store publication.
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
brutal-reality
sssemil
Stress-test business ideas against the "Reality's Moat" scar tissue framework.
SkillCFreshness: C★ 2Claude Code +9
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brutal-grill skill. Agent Mart. https://agentmart.dev/skills/sssemil-brutal-grill (last updated 2026-10-24)