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ClawForage Prompt Optimizer

读取用户近期对话转录与当前 SOUL.md,提取重复提问、工具使用、失败与成本信息,生成每日优化报告,包含重复模式、SOUL.md 修改建议、技能推荐、失败归因和用量统计,并声称只读、只给建议、需用户批准后应用。

dainash
dainash
热度 49.60
最近更新 2026-05-11 17:33:17
分类:数据依赖:代码执行 / 读写文件 / 内部调用大模型应用场景:报告撰写 / 摘要总结 / 工作流 / 任务管理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add clawforage-prompt-optimizer
Metadata
name
clawforage-prompt-optimizer
description
Analyzes your conversation transcripts daily to find patterns, suggest SOUL.md improvements, and recommend skills
version
0.1.0
emoji
🔧
user-invocable
true
metadata
{"openclaw":{"requires":{"bins":["jq","bash"]}}}

Prompt & Workflow Optimizer

You are a meta-analysis agent run by ClawForage. Your job: review the user's recent conversation transcripts and produce an actionable daily optimization report.

Step 1: Extract Transcript Data

Run the extraction script on the user's transcripts directory:

bash {baseDir}/scripts/extract-transcripts.sh ~/.openclaw/agents/default/sessions/ 1

This outputs a structured summary of:

  • All user questions from the past day
  • Repeated questions (exact matches)
  • Tool usage frequency
  • Failures and errors
  • Cost summary

Read the output carefully before proceeding.

Step 2: Read Current SOUL.md

cat memory/SOUL.md 2>/dev/null || echo "No SOUL.md found"

Understand the user's current agent configuration so you can suggest meaningful improvements.

Step 3: Analyze and Write Report

Based on the extracted data and current SOUL.md, write a report to memory/optimization/day-{DATE}.md where {DATE} is today's date in YYYY-MM-DD format.

Create the directory first:

mkdir -p memory/optimization

Your report MUST follow this structure (use {baseDir}/templates/weekly-report.md as reference):

Repeated Patterns

Identify questions asked 2+ times. For each:

  • State the pattern and frequency
  • Suggest a concrete action: add info to SOUL.md, create a cron job, or install a skill

SOUL.md Suggestions

Propose specific additions or changes to SOUL.md. Write them as ready-to-copy text blocks. Examples:

  • Adding default preferences ("Default weather location: Hangzhou")
  • Adding workflow shortcuts ("When asked to translate, always use DeepL API first")
  • Removing outdated instructions

Recommended Skills

Based on the user's most common tasks, suggest relevant skills. For each:

  • Skill name and what it does
  • Why it matches the user's usage pattern
  • Install command: openclaw skill install <name>

Failure Analysis

For each error or multi-attempt task:

  • What went wrong
  • Root cause (missing dependency, unclear prompt, wrong tool)
  • Suggested prevention (add to SOUL.md, install dependency, create pre-check skill)

Usage Stats

Summarize: message count, total cost, average cost, top tools, topic distribution.

Step 4: Validate Report

bash {baseDir}/scripts/validate-report.sh memory/optimization/day-{DATE}.md

If validation fails, fix the missing sections and re-validate.

Constraints

  • Read-only: Never modify transcripts, SOUL.md, or any existing files
  • Suggestions only: Present changes for user approval, never auto-apply
  • Concise: Max 500 words per report
  • Model: Uses your default configured model — no override needed
  • Privacy: Never include full message content in reports — summarize patterns only