mcpbeat

New Loop

ai-builder-club/new-loop

Spin up a new loop (domain) in a file-based knowledge base — bootstrap the substrate if it's missing, gather the loop's charter, scaffold domains/<loop>/README.md, then do ONE real test run and record it in the loop's Timeline and LOG.md. Use when the user says "set up a new loop", "create a domain", "start a new beat/workstream", or names a recurring job they want the agent to own.

6k tokens
context cost
the whole folder, loaded on every use
5
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1141
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/AI-Builder-Club/skills --skill new-loop

The instruction itself

9 sections, as written by the author

new-loop — spin up a new loop

A loop (a domain) is a recurring thread of work the agent owns: a charter, a cadence, and

the artifacts it produces. This skill creates one, proves it works with a single real run, and

leaves behind a domains/<loop>/README.md that is the loop's live state.

When to use

The user wants to stand up a new workstream/beat/job (e.g. "a weekly SEO loop", "a support

triage loop", "a competitor-watch loop"). Don't use this for a one-off task — that's a backlog

line in an existing domain, or a doc/signal.

Inputs to gather (ask only what's missing)

Infer from the request; ask a short clarifying round only for what you can't:

  • name — kebab-case, the loop's home folder (domains/<name>/). Keep it short.
  • goal — one line: the outcome this loop drives.
  • cadencemanual / daily / weekly / a cron expr. Default manual.
  • what it does — what it consumes (signals? data? an inbox? a URL?) and produces (signals?

docs? a report? code changes shipped via /verify?).

  • tools/data — sources or credentials it needs (point at a setup skill or .env; never

inline secrets).

If the request is already specific, infer all five and just confirm in your summary.

Procedure

1. Bootstrap the substrate (one-time; skip if already set up)

Check the knowledge-base repo root for:

  • ARCHITECTURE.md and LOG.md, and
  • a CLAUDE.md that has a "Knowledge base" section.

All present → the substrate exists; skip to Step 2.

Anything missing → read references/KNOWLEDGE_SETUP.md and follow it — it copies in

ARCHITECTURE.md + LOG.md, creates signals/ docs/ domains/ with their README schemas, and

injects the knowledge-base section into CLAUDE.md (or scaffolds one from

references/CLAUDE.template.md). It's idempotent: it only creates what's missing.

(Read references/ARCHITECTURE.md once if you haven't — it's the model this skill instantiates.)

2. Scaffold the loop README

Create domains/<name>/README.md from the domain template (in domains/README.md, also

quoted in references/KNOWLEDGE_SETUP.md), filled with the gathered inputs. Required sections:

frontmatter (kind: domain, domain, status: active, goal, cadence), a 2–4 line

description, ## Current focus, ## Backlog (to-dos inline — they stay in the README until they

earn a task kind), and an empty ## Timeline. Add ## Evidence & analysis / ## Metrics

placeholders if relevant.

Collision check: if domains/<name>/ already exists, stop and ask whether to update it instead

of overwriting.

3. Do ONE real test run

The point of the skill: prove the loop actually runs, not just that the folder exists.

Actually run the loop once, at small scale — do whatever it's meant to do (triage a few real

tickets, pull one real SERP, fetch the inbox, draft one comment, run one analysis query, scope

one code change…). Use real tools/data where you can; if a credential is missing, do the

furthest-reachable dry run and note the gap.

Producing an artifact is optional — a legit run may surface nothing worth filing. Only create

a signal/doc if the run genuinely produced one.

Two required outputs regardless:

  • Append one dated line to the loop README's ## Timeline:

YYYY-MM-DD | test run — <what you did and found / "nothing actionable yet">.

  • Append one entry to LOG.md (its grammar):
  ## YYYY-MM-DD · <loop-name> loop created + first run · #ops
  What: <one line — what the loop is and what the first run did/found>.
  Refs: domains/<name>/README.md (new)[, any artifact created].

4. Report back

Summarize: the loop's charter (the five inputs), what the test run did/found, any artifacts

created (or "none — nothing actionable this run"), missing tools/credentials to wire up, and how

to run it again (cadence + entry point). Keep it tight.

Notes

  • Don't gold-plate the scaffold. A loop README is live state, not a spec — start lean; let it

accrete via its Timeline.

  • One loop = one separable workstream. If what the user described is really part of an

existing loop, add it there (a backlog line + a domain: tag) instead of a near-duplicate.

  • For loops that ship code, the loop's run works in an isolated git worktree and ships via

the /verify skill (proof + PR), giving each parallel agent its own isolated stack via

crabbox-setup (sibling harness skills in this plugin).

Point the README's Backlog at them.

How to use it

Copy the folder

Take ai-builder-club/new-loop from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.