🔥
AI EngineeringPython

Grilling

by stevesolun

Grilling is an AI Engineering skill for Claude Code, published by stevesolun in ctx.

578 stars71 forkson stevesolun/ctxAdded 2026/08/25+1% in starsRepository updated 2026/08/24
agentsai-agentsanthropicautomationclaudeclaude-codecontext-managementdeveloper-toolsharnessknowledge-graphllmllm-wikimcpmicro-skillsobsidianreal-timerecommendation-engineskill-managementskillswiki
Install in seconds
Install Grilling
Copy Grilling into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/stevesolun/ctx/tree/main/.agents/skills/grilling ~/.claude/skills/grilling

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/stevesolun/ctx.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
.agents/skills/grilling/SKILL.md in stevesolun/ctx
Installs to
~/.claude/skills/grilling
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What Grilling does

Grilling interviews you one question at a time to stress-test a plan or idea and reach a shared understanding. It looks up facts from the environment when possible and leaves decisions for you to confirm.

Grilling is cataloged under AI Engineering on DirSkills. Grilling comes from a repository tagged agents, ai-agents, anthropic, automation and claude.

Documentation

README

Interview me relentlessly about every aspect of this until we reach a shared understanding. Walk down each branch of the decision tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.

Ask the questions one at a time, waiting for feedback on each question before continuing. Asking multiple questions at once is bewildering.

If a fact can be found by exploring the environment (filesystem, tools, etc.), look it up rather than asking me. The decisions, though, are mine — put each one to me and wait for my answer.

Do not act on it until I confirm we have reached a shared understanding.

Frequently asked about Grilling

  • What else does stevesolun publish alongside Grilling?

    Grilling is one of 25 skills that DirSkills catalogs from stevesolun/ctx, the repository it ships in. Its siblings there include Ask Matt, Code Review and Codebase Design. Each one is a separate skill with its own page in this directory, installs the same way Grilling does, and is maintained by stevesolun in that same repository. The rest of the collection is listed on the stevesolun/ctx page.

  • How does Grilling compare to other AI Engineering skills?

    Grilling ranks #1987 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Grilling against them. Open each page to compare what they document and how they install.

More from stevesolun/ctx

Grilling is one of 25 skills cataloged on DirSkills from stevesolun/ctx.

See all 25 skills
🧭
6d ago

Ask Matt

Ask Matt recommends the smallest Matt Pocock skill or short skill sequence for a user's goal. Use it when you need help choosing the next skill, deciding between close options, or checking whether setup is required.
AI Engineering
57871
🔍
6d ago

Code Review

Code Review reviews a Git diff against repository standards and the originating requirements. Use it for pull requests, branches, work-in-progress changes, or changes since a commit, tag, or merge-base.
Quality
57871
🧩
6d ago

Codebase Design

Codebase Design helps you shape module interfaces using deep-module heuristics. Use it when choosing seams, reducing caller complexity, improving testability, or comparing alternative designs.
Quality
57871
🐞
6d ago

Diagnosing Bugs

Diagnosing Bugs uses reproducible evidence, focused hypotheses, and targeted instrumentation to isolate hard bugs and performance regressions. Use it when something is broken, intermittent, or unexpectedly slow.
Quality
57871
🧩
6d ago

Domain Modeling

Domain Modeling clarifies concepts, language, boundaries, and architectural decisions when terminology is ambiguous or a design depends on shared understanding. It helps you compare terms, test edge cases, and record durable definitions or ADRs when needed.
AI Engineering
57871
🔎
6d ago

Find Skills

Find Skills discovers installable agent skills from ctx's recommendation surface, the Skills.sh catalog, and the npx skills CLI. Use it to check whether a skill exists, find candidates, or safely evaluate updates before installing.
AI Engineering
57871