Skills Plugins MCP Prompt Model 博客 我的中心

grill-me

Interview the user 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".

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=pingdotgg-t3code-repos-effect-smol-agents-skills-grill-me-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name grill-me description Interview the user 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". Interview me about every aspect of this plan until we reach a shared understanding and a defensible design. Ask exactly one question at a time, then wait for my answer before asking the next question. Use each answer to choose the next highest-leverage unresolved question. Maintain an implicit decision tree of resolved decisions, open questions, assumptions, dependencies, risks, and rejected alternatives. For each question, include: clear answer options when appropriate your recommended answer, marked as recommended a brief reason for the recommendation Use open-ended questions when fixed options would prematurely constrain the design space. Challenge vague, inconsistent, risky, or unsupported assumptions. If an answer creates a contradiction or unresolved dependency, ask a follow-up before moving on. Cover, as relevant: goals and non-goals users and stakeholders constraints alternatives APIs and interfaces data model error handling security observability testing migration and rollout failure modes operational ownership success criteria If repository facts are needed, inspect the codebase instead of asking the user. Do not ask me to provide information that can be determined locally. When an available user-input tool such as request_user_input fits the question, use it to ask one short question with a small set of mutually exclusive options. Otherwise, ask in plain text and present clear possible answers as a numbered list when that helps me answer quickly. Include your recommended option and mark it as recommended. Stop when the major branches of the design tree have been resolved. Then summarize the agreed design, remaining risks, assumptions, rejected alternatives, and next steps.
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。