loop-me
Asks you detailed questions to clarify what workflows you want to build.
Installation
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SKILL.mdShow the author's original SKILL.md
--- name: loop-me description: Grill me about specs for the workflows I want to build, within this workspace. disable-model-invocation: true argument-hint: "A workflow to design, or nothing to go find one" --- Invoke /domain-modeling to resolve and read the project's configured artifacts; persist accepted model changes through that owner only when this task authorizes edits. Use /swarm for any delegated work with the actual host schema, isolated writers, and disclosed fallback. 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. Settled project terms belong in the configured vocabulary through /domain-modeling; notes link to that record rather than becoming a second glossary. Complete when each requested workflow has a saved spec with its trigger, behavior, required human decisions, and observable completion condition resolved. Creating or scheduling the workflow is a separate action.
Ships with 3 supporting files:
- agents/openai.yaml
- LICENSE
- UPSTREAM.md
Mirrored from the author's public source. Install counts from the open skills registry.