Grill me
Skill nota-america/forgecat-agent-profiles/profiles/mattpocock/skills/for-forgecat/skills/grill-me
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".From its SKILL.md
npx -y skills add nota-america/forgecat-agent-profiles --skill grill-meAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
0.6 KB, 69 tokens by cl100k_base, as published. Nobody here has run it
Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.
Ask the questions one at a time.
If a question can be answered by exploring the codebase, explore the codebase instead.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 6 of the 12 instructions most review quality skills give in 69 tokens
Counted across 1,048 of the 1,783 authors here whose files we hold, read 2026-08-07
- Ask questions one at a timehere, and in 81 of 1048, across 64 files
- Provide a recommended answer for each questionhere, and in 73 of 1048, across 50 files
- Explore the codebase instead of asking answerable questionshere, and in 66 of 1048, across 42 files
- Resolve dependencies between decisions one-by-onehere, and in 42 of 1048, across 17 files
- Interview the user relentlessly about the planhere, and in 38 of 1048, across 13 files
- Order findings by severityin 31 of 1048
- Resolve each branch of the decision treehere, and in 27 of 1048, across 5 files
- Run a grilling sessionin 26 of 1048, across 5 files
- Update CONTEXT.md immediately when a term is resolvedin 26 of 1048, across 11 files
- Propose precise canonical terms for vague languagein 25 of 1048, across 7 files
- Create documentation files lazilyin 24 of 1048, across 5 files
- Assign severity to every findingin 24 of 1048
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.