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retrospectiveretrospective 分析

Agent Skill

retrospective 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,412

周安装

182

GitHub Stars

公开资料未说明

下载量

1,441
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:retrospective(retrospective 分析)
来源仓库:https://github.com/davidfurlong/retrospective
安装命令:
openclaw skills install retrospective
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install retrospective

简介

每周代理运行状况回顾系统,分析胜利、失败与技能缺口。

  • 适用于生产环境稳定性监控、cron任务健康度检查与配置审计场景。
  • 自动生成诚实、规范的周报,标注待修复问题与改进优先级。
  • 安装命令:openclaw skills install retrospective,需配置日志整理与时间窗口。
  • 注意数据采样偏差,避免将局部异常误判为系统性故障。

SKILL.md

name
retrospective
description
Run a structured weekly agent retrospective. Analyses wins, failures, skill gaps, cron health, and config issues from the last 7 days. Produces honest, specific output — not generic platitudes. Auto-schedules a Friday cron job. Trigger on "retrospective", "retro", "reflect", "review my work", "what went well", "what should I improve".

Agent Retrospective

Run a structured self-review covering the last 7 days from the run date. Produce honest, specific analysis — not generic platitudes.

Process

1. Gather Context

  • Read memory/ files for the review period (daily logs)
  • Read MEMORY.md for long-term context (pending tasks, blocked items, decisions)
  • Check cron job history: cron(action="list") — note failures and consecutive errors
  • Check session status for usage patterns

2. Analyse: What Went Well

List concrete wins with evidence:

  • Tasks completed successfully
  • Automations that ran reliably
  • Problems solved creatively
  • Time/effort saved for the user

Keep it brief. 3-7 bullet points max.

3. Analyse: What Didn't Go Well

Be brutally honest. For each struggle:

  • What: The specific task or goal
  • Why it failed: Root cause (not symptoms)
  • Time wasted: Rough estimate of turns/attempts spent
  • Pattern: Is this a recurring struggle or one-off?

Categories to check:

  • Bot detection / scraping failures
  • Browser automation reliability
  • API quota / auth issues
  • Tasks attempted manually that a skill could handle
  • Blocked items that stayed blocked too long
  • Over-engineering (built when a simpler approach existed)
  • Responsiveness issues (slow replies, timeouts, retries)
  • Communication issues (user had to repeat themselves)

4. Skill Gap Analysis

Search for skills that address identified struggles. For each promising skill:

  • Note name, version, relevance score
  • Assess whether it genuinely solves the problem vs. being a low-quality wrapper
  • Recommend install only if it clearly saves future effort

Also check: are any installed skills underused or misconfigured?

5. Config & Infrastructure Review

Check for improvements to:

  • Cron jobs: Any consistently failing? Should any be added/removed?
  • Auth/credentials: Any expired, rotated, or missing?
  • Memory/context: Is MEMORY.md getting stale? Are daily logs being written?
  • Tool config: Any env vars, API keys, or integrations that need attention?
  • Workspace hygiene: Temp files, stale scripts, orphaned projects?

6. Recommendations

Produce a prioritised action list:

  1. Quick wins (< 5 min each) — config fixes, skill installs, cleanup
  2. Medium effort (< 1 hour) — new automations, script fixes, unblocking items
  3. Larger projects — new integrations, architectural changes

Each recommendation must be specific and actionable (not "improve scraping" but "install X to bypass Cloudflare on Y").

Output Format

Write the retro to memory/retro-YYYY-MM-DD.md:

# Retrospective — [date range]

## Wins
- [concrete win with evidence]

## Struggles
| Task | Root Cause | Time Spent | Recurring? |
|------|-----------|------------|------------|
| ... | ... | ... | yes/no |

## Skill Gaps
| Problem | Skill | Action |
|---------|-------|--------|
| ... | skill-name v1.0 | install / skip / evaluate |

## Config Issues
- [specific issue + fix]

## Action Items
### Quick Wins
1. [action]

### Medium Effort
1. [action]

### Larger Projects
1. [action]

Scheduling

Set up a weekly cron job on first use (check cron(action="list") first — only create once):

cron(action="add", job={
  "name": "Weekly Retrospective",
  "schedule": {"kind": "cron", "expr": "0 16 * * 5", "tz": "local"},
  "sessionTarget": "isolated",
  "payload": {
    "kind": "agentTurn",
    "message": "Run a full retrospective for the last 7 days following the retrospective skill. Read memory files, check cron status, search for skills addressing struggles, write retro to memory/retro-YYYY-MM-DD.md, update MEMORY.md with key findings, deliver a concise summary."
  },
  "delivery": {"mode": "announce"}
})

Guidelines

  • No fluff. Every line should contain information.
  • Be self-critical. The point is improvement, not a highlight reel.
  • Cite evidence. Reference specific memory files, dates, error messages.
  • Don't recommend skills blindly. Only recommend if genuinely useful.
  • Cap action items at 10. Prioritise ruthlessly.
  • Update MEMORY.md with key findings after the retro.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

92.87%
按下载量换算1,338

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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