本文へ移動
cccskills
無料GitHub で公開

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.

インストール方法を見る

含まれるファイル(5)

  • SKILL.md4.9 KB
  • references/ARCHITECTURE.md7.1 KB
  • references/CLAUDE.template.md5.2 KB
  • references/KNOWLEDGE_SETUP.md7.2 KB
  • references/LOG.md988 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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:

  1. name — kebab-case, the loop's home folder (domains/<name>/). Keep it short.
  2. goal — one line: the outcome this loop drives.
  3. cadence — manual / daily / weekly / a cron expr. Default manual.
  4. what it does — what it consumes (signals? data? an inbox? a URL?) and produces (signals? docs? a report? code changes shipped via /verify?).
  5. 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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Audit a repo's agent context — CLAUDE.md files, codebase docs, skills, and tool/MCP designs — against Anthropic's Claude 5 context-engineering guidance ("unhobbling": Anthropic cut ~80% of Claude Code's system prompt with no eval loss). Finds overconstraint, conflicting instructions, redundancy, stale facts, and missing "unknown knowns"; produces a scored findings report with concrete rewrites, then applies approved fixes. Use when someone says "audit my CLAUDE.md", "context audit", "unhobble this repo", "review our agent docs/skills/tools", or after upgrading to Claude 5-generation models.

日本語の概要は準備中です。原文の説明を表示しています。

AI-Builder-Club/skills1,2912026年9月16日 更新

Scaffold an isolated CLOUD dev box per agent (via crabbox + Daytona) for any codebase — the parallel-safe counterpart to dev-local-setup. Each agent gets its own full stack (own DB + dev server) and an in-box browser for e2e, so concurrent loops never collide on ports/state. Sets up the snapshot image, .crabbox.yaml, an idempotent setup.sh (also boots the stack locally), and a cbx.sh wrapper. Use when the user says "set up crabbox", "give each agent its own box", "add cloud testing", "make this repo testable in the cloud / on Daytona", "parallel-test this", or when setup-codebase-harness needs true per-agent isolation.

日本語の概要は準備中です。原文の説明を表示しています。

AI-Builder-Club/skills1,2912026年9月16日 更新

Scaffold a one-command `dev-local` launcher for ANY codebase. Investigates the repo to find its services, ports, and infra dependencies, then generates a single `scripts/dev-local.sh` (up/down/status/logs/restart) that runs every dev server in one tmux session, plus a short skill doc describing it. Use when someone says "set up dev-local", "make a one-command dev launcher", "I want one script to start this repo", "scaffold dev-local for this project".

日本語の概要は準備中です。原文の説明を表示しています。

AI-Builder-Club/skills1,2912026年9月16日 更新

e2e-setup

無料

Set up an end-to-end test suite in any repo, following practices that make e2e a reliable per-PR gate: real flows over bypass, layered assertions, a reusable auth/session helper, video+trace evidence, and a compounding suite. Use when a repo has no e2e (or weak e2e) and you want system-level tests — "set up e2e", "add end-to-end tests", "scaffold a test gate".

日本語の概要は準備中です。原文の説明を表示しています。

AI-Builder-Club/skills1,2912026年9月16日 更新

Generate TikTok/Shorts-style karaoke captions using MLX Whisper, ASS subtitles, and FFmpeg libass. Use when burning word-level highlight captions into a video, matching caption style from a screenshot, rendering ASS karaoke subtitles, or when the user runs /karaoke-captions.

日本語の概要は準備中です。原文の説明を表示しています。

AI-Builder-Club/skills1,2912026年9月16日 更新

Delegate tasks to ANY CLI agent (claude, codex, aider, ...) running in a detached tmux session, with a race-safe done-signal protocol and multi-turn iteration. Use when delegating work to a non-Claude CLI agent, when the user says "tmux delegate", "run agent in tmux", "delegate to codex/aider", or when executor work should run in an observable background terminal instead of the Agent tool.

日本語の概要は準備中です。原文の説明を表示しています。

AI-Builder-Club/skills1,2912026年9月16日 更新

AI-Builder-Club のスキルをすべて見る

このスキルの問題を報告する