skills/loop-me/SKILL.md
Grill me about specs for the workflows I want to build, within this workspace.
npx skillsauth add tc9011/my-skills loop-meInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Run a stateful /grilling session whose only output is workflow specs. Use the grilling discipline — relentless, one question 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.
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.
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.
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.
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.data-ai
Writing, exploit — shape raw material into an article, paragraph by paragraph.
testing
Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.
data-ai
Writing, explore — mine raw fragments, no structure yet.
tools
Writing, exploit — assemble raw material into a journey of beats, grounding each term before a beat leans on it.