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loop-me

Grill me about specs for the workflows I want to build, within this workspace.

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  • agents/openai.yaml140 B

SKILL.md(原文)

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Run a stateful /grilling session whose only output is workflow specs. Use the grilling discipline — relentless, a round of questions at a time, a recommended answer attached to each — aimed at the vocabulary and goal below. Create, edit, and delete specs as the grilling resolves things.

The loop lens

A loop is a recurring pattern in the user's life: their career, their week, their morning, a single repeated activity. Picturing a life as loops within loops reveals how predictable its activities really are — which is what makes them worth delegating. Use the lens to find loops worth specifying, and propose ones the user hasn't noticed.

A workflow is the spec of one loop, made real. You run a workflow on a loop — the loop is its running instantiation. Workflows live in workflows/*.md and are the source of truth.

Vocabulary

A shared language, reached for only when a workflow calls for it — never a checklist. Mandate nothing structural: a workflow needs no AI, no checkpoint, and no schedule unless the grilling shows it does.

  • Trigger — what fires each run: an event (a new email, a new issue) or a schedule (every morning). Event-triggering is usually the more efficient.
  • Checkpoint — a human-in-the-loop point where the user is asked to verify or decide. Some workflows have none and run autonomously; some use no AI at all.
  • Push right — defer the checkpoint as far as it will go. Do maximal work before involving the human, so they are asked once, late, with everything prepared.
  • Brief — what a checkpoint presents: a tight, decision-ready summary — what was produced, why, and a link down to the asset itself — never the raw output. The user reads a brief, not a draft. Speed of review is imperative.

Definition of done

A workflow spec is done when an implementer agent could build it without asking a single question. Grill until then; nothing is done while a question remains.

The workspace

  • workflows/*.md — one spec per workflow.
  • NOTES.md — raw notes on the user's world: the tools they use, the channels they process, and their own terminology for both. When it is empty or thin, interview them about their world before specifying anything. Sharpen fuzzy terms into canonical ones as they surface, and record them here.

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日本語の概要は準備中です。原文の説明を表示しています。

EthanYoQ/Skill-hub112026年10月5日 更新

使用 AACT (Aggregate Analysis of ClinicalTrials.gov) PostgreSQL 数据库进行大批量临床试验历史分析与数据挖掘。触发场景包括:AACT 查询、临床试验批量分析、PostgreSQL 试验数据、全量 NCT 检索、试验数据挖掘、clinical trials data warehouse、疾病领域全景分析、设计相似试验匹配、跨年度试验趋势聚合。本 skill 通过 SQL 接口处理百万级试验记录,支持云端公共 PostgreSQL 服务(aact-db.ctti-clinicaltrials.org)和每日 dump 本地还原两种连接方式,自动检测并优先使用本地高性能模式。

日本語の概要は準備中です。原文の説明を表示しています。

EthanYoQ/Skill-hub112026年10月5日 更新

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日本語の概要は準備中です。原文の説明を表示しています。

EthanYoQ/Skill-hub112026年10月5日 更新

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日本語の概要は準備中です。原文の説明を表示しています。

EthanYoQ/Skill-hub112026年10月5日 更新

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日本語の概要は準備中です。原文の説明を表示しています。

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日本語の概要は準備中です。原文の説明を表示しています。

EthanYoQ/Skill-hub112026年10月5日 更新

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