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close-loop

End-of-session workflow for shipping changes, consolidating memory, applying self-improvements, and preparing publishable outputs with safety gates.

clarezoe0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install clarezoe/close-loop

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Close Loop

Use this skill when the user says "wrap up", "close session", "end session", "close out this task", or invokes /wrap-up.

Run four phases in order and return one consolidated inline report.

Modular structure

This skill is split into components for maintainability:

  1. components/01-design-principles.md
  2. components/02-phase-1-ship-state.md
  3. components/03-phase-2-memory.md
  4. components/04-phase-3-4-and-output.md

Follow these components in order.

Quick run order

  1. Apply execution policy and action gates (01-design-principles.md)
  2. Execute Ship State (02-phase-1-ship-state.md)
  3. Consolidate Memory (03-phase-2-memory.md)
  4. Run improvements + publish queue + output contract (04-phase-3-4-and-output.md)

Required output

Return:

  • Artifact A: human-readable report sections exactly as defined in component 04
  • Artifact B: machine-readable JSON block exactly as defined in component 04

Resources

  • references/memory-frameworks.md
  • assets/templates/wrap-report-template.md

来源信息

Source
github
Repository
openclaw/skills
Path
skills/clarezoe/close-loop
Version
—
Commit
d948d617734acf476b4afccd4d2bbae73c0eb528
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

close-loop

End-of-session workflow for shipping work cleanly and retaining high-value memory.

What it does

  • Runs a 4-phase wrap-up: Ship State, Consolidate Memory, Review & Apply, Publish Queue.
  • Uses typed memory buckets: working, episodic, semantic, procedural.
  • Uses two-pass consolidation (extract then verify/dedupe/resolve conflicts).
  • Applies a persistence filter plus confidence calibration and TTL retention.
  • Enforces action gates for commit, push, deploy, and publish.
  • Supports dry-run mode and emits a machine-readable JSON report.

Use this skill when

  • You want to end a coding session with clean repo state.
  • You want structured memory updates instead of ad-hoc notes.
  • You want repeatable self-improvement and publication triage.

Files

  • SKILL.md - Entry point + execution order.
  • components/01-design-principles.md - Execution policy and action gates.
  • components/02-phase-1-ship-state.md - Ship State phase steps.
  • components/03-phase-2-memory.md - Memory consolidation and safety rules.
  • components/04-phase-3-4-and-output.md - Improvements, publish queue, and output contract.
  • references/memory-frameworks.md - Framework references and update checklist.
  • assets/templates/wrap-report-template.md - Output template for session wrap reports.

Quick usage

Trigger phrases:

  • wrap up
  • close session
  • end session
  • /wrap-up

Execution order:

  1. Ship State
  2. Consolidate Memory
  3. Review and Apply Improvements
  4. Publish Queue

Design goals

  • High signal memory only
  • Deterministic end-of-session behavior
  • Minimal irreversible actions without approval
  • Clear output contract with evidence and confidence labels
  • Memory security against poisoning/injection patterns

来源内容

SKILL.md
# Close Loop

Use this skill when the user says "wrap up", "close session", "end session", "close out this task", or invokes `/wrap-up`.

Run four phases in order and return one consolidated inline report.

## Modular structure

This skill is split into components for maintainability:

1. `components/01-design-principles.md`
2. `components/02-phase-1-ship-state.md`
3. `components/03-phase-2-memory.md`
4. `components/04-phase-3-4-and-output.md`

Follow these components in order.

## Quick run order

1. Apply execution policy and action gates (`01-design-principles.md`)
2. Execute Ship State (`02-phase-1-ship-state.md`)
3. Consolidate Memory (`03-phase-2-memory.md`)
4. Run improvements + publish queue + output contract (`04-phase-3-4-and-output.md`)

## Required output

Return:
- Artifact A: human-readable report sections exactly as defined in component 04
- Artifact B: machine-readable JSON block exactly as defined in component 04

## Resources

- `references/memory-frameworks.md`
- `assets/templates/wrap-report-template.md`
README
# close-loop

End-of-session workflow for shipping work cleanly and retaining high-value memory.

## What it does

- Runs a 4-phase wrap-up: Ship State, Consolidate Memory, Review & Apply, Publish Queue.
- Uses typed memory buckets: working, episodic, semantic, procedural.
- Uses two-pass consolidation (extract then verify/dedupe/resolve conflicts).
- Applies a persistence filter plus confidence calibration and TTL retention.
- Enforces action gates for commit, push, deploy, and publish.
- Supports `dry-run` mode and emits a machine-readable JSON report.

## Use this skill when

- You want to end a coding session with clean repo state.
- You want structured memory updates instead of ad-hoc notes.
- You want repeatable self-improvement and publication triage.

## Files

- `SKILL.md` - Entry point + execution order.
- `components/01-design-principles.md` - Execution policy and action gates.
- `components/02-phase-1-ship-state.md` - Ship State phase steps.
- `components/03-phase-2-memory.md` - Memory consolidation and safety rules.
- `components/04-phase-3-4-and-output.md` - Improvements, publish queue, and output contract.
- `references/memory-frameworks.md` - Framework references and update checklist.
- `assets/templates/wrap-report-template.md` - Output template for session wrap reports.

## Quick usage

Trigger phrases:

- `wrap up`
- `close session`
- `end session`
- `/wrap-up`

Execution order:

1. Ship State
2. Consolidate Memory
3. Review and Apply Improvements
4. Publish Queue

## Design goals

- High signal memory only
- Deterministic end-of-session behavior
- Minimal irreversible actions without approval
- Clear output contract with evidence and confidence labels
- Memory security against poisoning/injection patterns

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