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- 作者仓库 claude-code-expert
- 领域
- 工程开发
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 88 / 100 · 社区维护
- 作者 / 版本 / 许可
- @reedmayhew18 · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 需简单配置
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- Docker
- 底层运行要求
- Docker
- 文件与系统权限
-
- 只读
- 允许写入 / 修改
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: grill-me
description: Deep interview to reach shared understanding before building. Use when starting a complex featur…
category: 工程开发
runtime: Docker
---
# grill-me 输出预览
## PART A: 任务判断
- 适用问题:代码实现、重构、调试或代码审查。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Goal / Dependencies / Context”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于代码实现、重构、调试或代码审查,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Goal / Dependencies / Context”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文出现了 `/grill-me`、`/wizard`、`/plan-and-spec` 这类斜杠命令;如果你的 Agent 支持命令触发,优先用命令开场,再补充目标和边界。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件。
先用一个小任务确认它会围绕“Goal / Dependencies / Context”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: grill-me
description: Deep interview to reach shared understanding before building. Use when starting a complex featur…
category: 工程开发
source: reedmayhew18/claude-code-expert
---
# grill-me
## 什么时候使用
- grill-me 是一个工程开发方向的技能,扩展 Agent 在写代码、做 review、跑测试这类场景下的能力 适合处理工程开发场景下的代码实现、调试、重构、测试或代码审查,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免…
- 面向代码实现、重构、调试或代码审查,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Goal / Dependencies / Context」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "grill-me" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Goal / Dependencies / Context
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> Docker | 读取文件、写入/修改文件 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Grill Me - Design Tree Exploration
Goal
Reach a shared, unambiguous understanding of what the user wants to build before any implementation begins. Success = a concrete implementation plan the user has approved, with all blocking decisions resolved.
Dependencies
- Tools: Read, Grep, Glob (read-only — this skill gathers information, never modifies files)
- No external services or MCP servers required
Context
This skill reads the existing project (CLAUDE.md, README, config files) to pre-fill known answers before asking any questions. The less the user has to repeat themselves, the better. Reference reference/02-best-practices.md if uncertain about Claude Code patterns.
Interview the user about their plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one by one.
Modes
Full Mode (default): /grill-me [topic]
Relentless, thorough interview. Explores every branch of the design tree until zero ambiguity remains. Use for complex features, architecture decisions, or anything where getting it wrong is expensive.
Light Mode: /grill-me lightly [topic]
Quick, focused interview — 5-8 questions max. Gets the essential decisions made without deep-diving every branch. Use for quick setups, small features, or when the user just needs to fill in a few gaps. Skip edge cases and failure modes unless they're critical. Aim for "good enough to start" not "perfectly specified."
Pre-Fill: Check the Codebase First
Before asking ANY questions, check if you're in an existing project:
- Look for: CLAUDE.md, README.md, package.json, pyproject.toml, Cargo.toml, go.mod, Makefile, Dockerfile, src/, tests/
- If an existing project is found:
- Read CLAUDE.md, README, and config files to understand the project
- Identify: tech stack, architecture, conventions, existing patterns
- Note what you already know and what's still unclear
- Only ask about the gaps — don't ask questions the codebase already answers
- Start by saying: "I've looked at your project. Here's what I understand: [summary]. Let me ask about what I'm less sure about..."
- If no project exists (empty directory or new project):
- Start from scratch with the full interview
Rules
- If a question can be answered by exploring the codebase, explore the codebase instead of asking
- Ask one focused question at a time, not batches
- When a decision opens new branches (e.g., "advanced search" → filters, sorting, pagination), explore each branch (full mode) or note it for later (light mode)
- Don't accept vague answers — ask follow-ups until the answer is specific and implementable
- Track decisions made so far to avoid re-asking
Process (Full Mode)
Phase 1: Big Picture
- What is the user trying to build?
- Who is it for?
- What does success look like?
Phase 2: Design Tree
For each major component:
- What are the options?
- What are the tradeoffs?
- Which option fits the constraints?
- What does this decision imply for other decisions?
Phase 3: Edge Cases & Failure Modes
- What happens when things go wrong?
- What are the performance constraints?
- What are the security considerations?
- What data validation is needed?
Phase 4: Synthesis
After all questions are answered:
- Summarize all decisions made
- Highlight any tensions or tradeoffs
- Propose a concrete implementation plan
- Ask if anything was missed
CHECKPOINT: Present the full synthesis to the user. Do NOT recommend next steps until they confirm. Ask: "Does this capture everything accurately? Anything missing or wrong before we move to implementation?"
Process (Light Mode)
Phase 1: Quick Context
- What are you building? (one sentence)
- What's the most important thing it needs to do?
- Any hard constraints? (tech stack, timeline, platform)
Phase 2: Key Decisions Only
- Ask about the 3-5 biggest decisions that would block progress
- Skip theoretical edge cases — focus on "what do I need to know to start building?"
Phase 3: Quick Summary
- Summarize decisions in bullet points
- Note anything deferred for later
- Recommend next step (usually
/wizardor/plan-and-spec)
CHECKPOINT: Present the summary to the user before recommending next steps. Ask: "Does this look right? Ready to move forward, or anything to adjust?"
Output
- Format: Inline chat — a structured summary presented in the conversation, not saved to a file
- Full mode deliverable: Decisions list + tensions/tradeoffs + concrete implementation plan
- Light mode deliverable: Bullet-point decisions + deferred items + recommended next step
- Save location: None by default. If the user wants it persisted, write to
PLAN.mdorPROGRESS.mdin the project root and note it survives context compaction.
Key Principle
The goal is NOT to ask a fixed list of questions. The goal is to dynamically explore the design tree until the level of clarity matches the mode: Full mode = zero ambiguity. Light mode = enough to start.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核