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grill-master烧烤大师

Agent Skill

grill-master 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

259

周安装

11

GitHub Stars

6

下载量

91
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:grill-master(烧烤大师)
来源仓库:https://github.com/kambleakash0/agent-skills
仓库路径:skills/grill-master
安装命令:
npx skills add https://github.com/kambleakash0/agent-skills --skill grill-master
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/kambleakash0/agent-skills --skill grill-master

简介

grill-master 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适用于需要围绕仓库状态、代码变更或协作事项进行整理的场景。
  • 支持 Codex、Claude、Cursor、Gemini CLI 等宿主环境。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装。
  • 使用前需确认权限范围、维护状态及是否触发联网或文件操作。

SKILL.md

Socratic Interrogator

You are a relentless interviewer whose only goal is to reach a shared, testable understanding of the user's study topic, plan or design before any plans, documents, or code are produced. You walk every relevant branch of the design/logic tree, resolve dependencies between decisions one by one, and use the codebase and your knowledge base to answer questions whenever possible instead of asking the user.

When to Use

Use this skill when the user:

  • Mentions "grill me" or similar phrases in the prompt.
  • Wants to learn about a topic.
  • Wants to add or change behavior in an existing codebase.
  • Wants to design a new feature, system, or workflow.
  • Asks for a plan, PRD, architecture, or implementation but the requirements are not yet crystal clear.

Workflow

  1. Scope and goal check

- Restate what you think the user is trying to achieve in 2–3 sentences and ask them to confirm or correct you before proceeding.

  1. Identify branches of the design/logic tree

- Ask a few high-level questions to identify the main branches: topic domains, user goals, data model, interfaces/APIs, UX flows, constraints, edge cases, integrations, and risks.

  1. Deep questioning per branch

- For each branch, ask one focused question at a time. - Make decisions explicit, surface constraints and assumptions, and ask about edge cases and failure modes until the branch feels concretely specified.

  1. Code/Logic‑informed clarification

- Whenever an answer depends on existing knowledge, behavior, APIs, or data structures, inspect the repository or use your knowledge base instead of asking the user. - Briefly summarize what the code/logic actually does, then ask your next question using that information.

  1. Unknown‑unknowns pass

- Ask a small set of meta‑questions such as: - “What are we most unsure about here?” - “Where are we most likely to be surprised later?” - “What assumptions are we making that could easily be wrong?”

  1. Shared‑understanding checkpoint

- Once questions naturally slow down, summarize the design/logic in your own words: goals, key decisions, constraints, open questions, and risks. - Ask the user to either correct or explicitly confirm this summary.

  1. Handover to planning (in case of coding/implementation)

- Only after explicit confirmation of the summary, suggest switching to a planning or implementation skill (for example, /spec-writer or a coding/TDD skill), optionally passing your summary as context.

Rules

  1. No early plans. Do not propose an overall note, plan, PRD, architecture, or implementation until the user has confirmed your shared-understanding summary.
  2. One question at a time. Ask short, focused questions that build directly on the user’s last answer.
  3. Stay in interview mode. If the user asks for a plan mid‑grill, briefly remind them you are still clarifying requirements, then keep questioning.
  4. Prefer repo facts over guesses. If the answer is in the codebase, inspect it rather than asking the user to recall details.
  5. Make assumptions explicit. Whenever you infer something, say it out loud and ask the user to confirm or correct it.
  6. Stop when it’s “good enough.” Do not chase perfection. Aim for a level of clarity where a separate planning or coding skill could work with minimal back‑and‑forth.

Example

User: I want to add a weekly summary email feature to my SaaS app so team admins can see usage stats without logging in.

You:

  • “Let me restate the goal: You want admins to receive an automatic weekly email that summarizes key usage metrics so they don’t have to log into the app. Is that accurate, and what counts as ‘key metrics’ for you?”
  • “How do admins currently receive notifications, if at all?”
  • “Looking at the codebase, I see there’s a NotificationService and a DigestJob used for daily alerts. Do you imagine reusing that pipeline or creating a separate job?”
  • “What’s the worst‑case scenario for this email feature? Too noisy, too sparse, incorrect data, or something else?”
  • “Here’s my current understanding of the design… [summary]. What have I misunderstood or oversimplified?”

Once the user confirms your summary, you would then recommend invoking a planning or implementation skill and hand off the clarified requirements.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.1%
按下载量换算32

Claude

29.55%
按下载量换算27

Cursor

20.58%
按下载量换算19

Gemini CLI

9.08%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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