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loop-me

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

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=mattpocock-skills-skills-in-progress-loop-me-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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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 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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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

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