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grill-with-docs
Use when challenging a plan — grills the author against documented decisions and sharpens terminology.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Use when challenging a plan — grills the author against documented decisions and sharpens terminology.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Load for large human-facing outputs: reports, docs, multi-section explanations, artifacts. Choose the right form for each beat (prose, diagram, table, mockup) and put the answer first, depth behind it. If the medium allows, use progressive disclosure.
Use when deciding where knowledge goes or reading/writing durable docs: AGENTS.md, .context/, KB, docs/, and work directories.
Use when exploring or changing the codebase: read AGENTS.md first, use .context/CONTEXT.md for detail, keep intent docs succinct.
Load before writing or revising human-facing text. Choose words deliberately, ground the piece in the reader's context, and remove default LLM phrasing before the final draft.
Use when validating markdown links or Mermaid diagrams.
User-invoked pause before reporting to check intent vs literal completion, surface adjacent wins, and route knowledge capture.
| name | grill-with-docs |
| description | Use when challenging a plan — grills the author against documented decisions and sharpens terminology. |
Load /intent-modeling if it isn't already loaded.
Interview the author relentlessly about every aspect of their plan until you reach a shared understanding. Walk down each branch of the decision tree, resolving dependencies between decisions one by one.
Keep each turn to the next unresolved branch or a small cluster of related questions the author can answer in one reply, then wait. Provide your recommended answer for each question.
Read the plan or proposed direction the author provides. Identify:
Start with the highest-leverage unresolved dependency — the earliest branch point that unblocks the most downstream decisions.
Check every significant term against the project's existing vocabulary where it exists:
kb/vocab.md for project-wide terms,
kb/<domain>/vocab.md for domain-specific ones.CLAUDE.md — established names and labels.work/ — terms already defined for the current effort.When the author's language conflicts with documented terms, call it out immediately. Name the conflict: "You said X, but the kb defines Y for this concept — which should we use?"
Sharpen vague or overloaded terms into canonical terms. Use concrete
scenarios and edge cases to force precise boundaries — "Does 'sync' here mean
the timeline beat, the character's realization, or something new?" See
/shared-dao for the vocabulary discipline.
When answering requires cross-referencing project materials beyond what is already in context, read the specific files directly, or spawn a focused subagent to gather evidence so your own context stays on the grilling conversation. Scope each lookup to one question and target specific files or directories — chapters, kb entries, outlines, prior decisions.
Frame the lookup as an evidence-seeking question with file/path targets. Act on findings to sharpen your next question or to challenge the author's assumptions with evidence.
Update artifacts inline as decisions crystallize. Reasoning flattens the longer you wait — capture it in the moment.
Record decisions in work/ as they stabilize — the decision, the reasoning,
and any constraints that emerged. Keep open questions visible.
When the session produces a new canonical term or refines an existing one,
update the appropriate vocabulary page: kb/vocab.md for cross-cutting
terms, kb/<domain>/vocab.md for domain-specific ones. Follow /kb-management
for page structure.
Create durable decision records sparingly — only when the choice is hard to
reverse, surprising without context, and involves a real tradeoff. Record it
in the relevant kb page. Keep provisional decisions in work/ until they
prove durable.
Each cycle through a decision branch:
The session ends when all branches of the decision tree are resolved and the documentation reflects the shared understanding.