grill-me – Design & UI skill for AI agents
A relentless interview to sharpen a plan or design.
Install the grill-me skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/grill-me-4bf36.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /grill-me – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/grill-me-4bf36.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $grill-me – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/grill-me-4bf36.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /grill-me – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/grill-me-4bf36.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /grill-me – then describe the task you want done.
SKILL.md content
When to Use
Use when this workflow matches the user request: A relentless interview to sharpen a plan or design.
_Source: [mattpocock/skills](https://github.com/mattpocock/skills) (MIT)._
Use the locally available grilling skill to interview the user about the plan. If the host does not expose slash commands, follow its question-by-question procedure directly. Establish the intended outcome, challenge assumptions and dependencies, and stop when the user-defined decision criteria are resolved or the user ends the interview. Do not claim /grilling executed merely because it was printed.
Example
User request:
> Use @grill-me for this task: A relentless interview to sharpen a plan or design.
Limitations
- Requires the upstream tool, account, API key, or local setup when the workflow names one.
- Does not authorize destructive, production, paid, or external-message actions without explicit user approval.
- Validate generated artifacts or recommendations against the user's real sources before treating them as final.
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