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Daniel Avila
7f890b1b3b
* feat: add Loops component type with referenced components Introduce "loops" as a new first-class component type — autonomous agentic workflows (goal + interval + stop condition) inspired by Loop Engineering and the Forward Future Loop Library. A loop references other components (agents, skills, hooks, commands) and the dashboard renders those references as clickable cards on the loop detail page. - Add 10 starter loops under cli-tool/components/loops/ (engineering, evaluation, operations) - Catalog generator: scan loops + write per-component content files - Dashboard: new type in icons/types/data, /loops page, and a "Referenced Components" section on the loop detail page - CLI: --loop flag installs the loop to .claude/loops/ and auto-installs its referenced components - Docs: CLAUDE.md and cli-tool rule updated Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01T9ynMiCHt8JwdMd8KjCkES * feat: add 8 more loops (goal/loop/schedule patterns) Expand the loops catalog to 18, drawing ideas from community "Loop Engineering" patterns. Adds loops across the three trigger verbs (/goal, /loop, /schedule) and emphasizes the verifier-in-the-loop and budget / anti-spin guardrails: - engineering/five-minute-maintainer-loop - engineering/build-test-fix-loop - engineering/anti-spin-build-loop - engineering/completion-contract-loop (goal) - engineering/goal-refiner-loop (goal) - engineering/adversarial-review-loop (cross-model) - operations/overnight-pr-routine-loop (schedule) - evaluation/human-approval-loop (human-in-the-loop) All referenced components verified to exist; catalog regenerated. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01T9ynMiCHt8JwdMd8KjCkES --------- Co-authored-by: Claude <noreply@anthropic.com>
45 lines
2.3 KiB
Markdown
45 lines
2.3 KiB
Markdown
---
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name: goal-refiner-loop
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description: Rewrites a vague request into a precise goal — exact end state, how to verify it, what not to touch, and the stop condition — then executes against it.
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category: engineering
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interval: on-demand
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stop-condition: The refined goal's verifiable end state is reached, or its explicit turn/budget cap is hit.
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components: [agent:expert-advisors/critical-thinking, agent:development-team/code-architect]
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tags: [goal, planning, prompting, loop]
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---
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# Goal-Refiner Loop
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> **Loop Engineering** — "your agent is not dumb, your instructions are just vague." This loop's only first job is to turn a fuzzy ask into a rigorous, verifiable goal before any code is written, then run the `/goal` against it.
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## 🎯 Goal
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Convert a vague request into a precise goal — the exact end state, how it will be verified, what must not be touched, and the stop condition — confirm it, then execute.
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## ⏱️ Schedule
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Trigger: `on-demand`.
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## ▶️ Run it
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```
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/goal Before doing anything, rewrite my request into a precise goal: the exact end state, how you will verify it, what you must not touch, and the stop condition (including a turn cap). Confirm that goal with me, then execute against it and stop when the end state is verified.
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```
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## 🔁 Iteration steps
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1. **Refine** — `critical-thinking` rewrites the ask into a crisp, testable goal.
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2. **Scope** — `code-architect` defines the blast radius: what's in, what must not be touched.
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3. **Confirm** — surface the refined goal for a quick yes before acting.
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4. **Act** — execute against the goal.
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5. **Verify** — check the end state against the stated verification; stop when met.
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## 🛑 Stopping condition
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The goal's verifiable end state is reached, or the turn/budget cap is hit (the loop reports how far it got).
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## 💰 Budget & guardrails
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Every refined goal carries an explicit "what not to touch" and a turn cap, so an under-specified ask can't sprawl into a risky, open-ended run.
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## 🧩 Referenced components
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- `agent:expert-advisors/critical-thinking` — sharpens the goal and verification.
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- `agent:development-team/code-architect` — bounds scope and the do-not-touch list.
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## 💡 Example
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"Make the app faster" becomes "p95 of /search ≤ 200ms measured by the existing benchmark, without changing the public API, stop after 8 turns" — and the loop executes against that.
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