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Loop Me · fradser | DecimalAI

productivityby fradser

Loop Me

fradser/loop-me

Source fradser/dotclaude ↗License MIT

Runs a stateful grilling session that produces workflow specs for workflows the user wants to build.

NewMaintained

On-demandOn-demand: invoked explicitly — never occupies your agent's context until called.

Product Management pack

Last verified 9/25/2026

What it changes

Passed 8 of 15 test cases with the skill, and 10 of 15 without it.

Without skill70%

With skill57%

Checks it passed that the model alone missed

The response instructs sharpening vague terms into canonical names in NOTES.md.
The response recommends interviewing the user about their tools before drafting implementation code.
The response designates individual markdown files within the workflows directory as the source of truth.

and 1 more in the full report

4 fixed9 passed either way3 still failing7 broke

Pass-rate lift: -13 pp
Tokens: +24%
Agent turns: 0%
Response time: +27%

Model gemini-3.6-flashMeasured 9/25/2026v213 of 23 cases passed with skill · 15 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/fradser-loop-me/SKILL.md https://app.decimal.ai/s/fradser-loop-me/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add fradser-loop-me, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/fradser-loop-me/ and pins it in .decimal/skills.lock

decimalai skills add fradser-loop-me

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/fradser-loop-me/SKILL.md https://app.decimal.ai/s/fradser-loop-me/SKILL.md

Raw file: /s/fradser-loop-me/SKILL.md ↗ · machine-readable summary at /s/fradser-loop-me.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 4

Prompt

Where should the finalized, actionable specifications for each identified recurring loop be permanently maintained in the repository workspace?

What was checked, without and with the skill
Checked	Without skill	With skill
The response designates individual markdown files within the workflows directory as the source of truth.	Missed	Passed

case-12 · gemini-3.6-flash · 9/25/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md25 linessingle file

Run a stateful /mattpocock: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.

Track record

Benchmark

8 / 15

test cases passed, vs 10 / 15 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 9/25/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

fradser / dotclaude

mattpocock/skills/in-progress/loop-me/SKILL.md

View on GitHub ↗

License MITImported 9/25/2026Version v2

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