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Prompt Library Manager

通过 Python 命令行脚本在 memory/prompt-library.json 中管理提示词模板库,支持新增、全文搜索、列出、变量填充、更新版本、删除、统计,以及 JSON/YAML/Markdown 导入导出,并内置 10 条起始提示词。面向 OpenClaw 会话与 Agent 复用,需本地 Python3 与文件读写,不涉及外部服务。

stevojarvisai-star
stevojarvisai-star
热度 45.74
最近更新 2026-05-11 17:38:03
分类:知识依赖:代码执行 / 读写文件应用场景:模板 / 工作流 / 笔记整理

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 prompt-library-manager
Metadata
name
prompt-library-manager
description
Curated prompt template library for OpenClaw agents. Store, search, version, tag, and reuse prompt templates across sessions and agents. Use when asked to "save this prompt", "find a prompt for", "prompt library", "manage prompts", "store prompt template", "reuse prompt", "prompt catalog", "list my prompts", or when building reusable prompt workflows. Helps enterprise teams standardize agent interactions and share best practices.

Prompt Library Manager

Store, search, version, and reuse prompt templates across OpenClaw sessions and agents.

Quick Start

# Add a new prompt template
python3 scripts/prompt-library.py add --name "email-summarizer" --category "productivity" \
    --template "Summarize the following email thread, highlighting: 1) Key decisions 2) Action items 3) Deadlines. Email: {input}"

# Search prompts by keyword
python3 scripts/prompt-library.py search "email"

# List all prompts
python3 scripts/prompt-library.py list

# Use a prompt (fills in variables)
python3 scripts/prompt-library.py use "email-summarizer" --var input="<paste email here>"

# Export library
python3 scripts/prompt-library.py export --format json

Commands

add — Add Prompt Template

Store a new prompt with metadata:

  • --name NAME — Unique identifier (required)
  • --category CAT — Category tag (e.g., productivity, coding, writing, analysis)
  • --template TEXT — The prompt text with {variable} placeholders
  • --description TEXT — Human-readable description
  • --tags TAG,TAG — Comma-separated tags for search
  • --model MODEL — Recommended model (optional)
  • --from-file PATH — Load template from file instead of inline

search — Search Prompts

Full-text search across names, descriptions, tags, and template content.

  • Supports keyword matching and tag filtering
  • --category CAT — Filter by category
  • --tag TAG — Filter by tag

list — List All Prompts

Display all stored prompts with metadata.

  • --category CAT — Filter by category
  • --format text|json|markdown — Output format
  • --compact — Show names only

use — Fill and Output Prompt

Retrieve a prompt and fill in variable placeholders:

  • --var KEY=VALUE — Set template variables (repeatable)
  • --copy — Copy filled prompt to clipboard

update — Update Existing Prompt

Modify a stored prompt (creates new version):

  • --name NAME — Prompt to update
  • --template TEXT — New template text
  • --tags TAG,TAG — Updated tags

delete — Remove Prompt

Delete a prompt from the library.

  • --name NAME — Prompt to delete
  • --confirm — Skip confirmation

export — Export Library

Export all prompts for backup or sharing.

  • --format json|yaml|markdown — Export format
  • --output PATH — Write to file
  • --category CAT — Export specific category only

import — Import Prompts

Import prompts from file (merge with existing).

  • --file PATH — Import source file (JSON or YAML)
  • --overwrite — Replace existing prompts with same name

stats — Library Statistics

Show prompt usage stats, category counts, and most-used templates.

Storage

Prompts are stored in memory/prompt-library.json as a JSON array:

[{
  "name": "email-summarizer",
  "category": "productivity",
  "description": "Summarize email threads with decisions and action items",
  "template": "Summarize the following email thread...",
  "tags": ["email", "summary", "productivity"],
  "model": null,
  "version": 1,
  "created": "2026-03-29T05:00:00Z",
  "updated": "2026-03-29T05:00:00Z",
  "use_count": 0
}]

Built-in Starter Prompts

The library ships with 10 high-quality starter prompts:

  1. email-summarizer — Summarize email threads
  2. code-reviewer — Review code for bugs and improvements
  3. meeting-notes — Structure meeting transcripts into notes
  4. bug-report — Generate structured bug reports
  5. content-writer — Write blog posts from outlines
  6. data-analyst — Analyze datasets and find patterns
  7. task-breakdown — Break complex tasks into subtasks
  8. explain-concept — Explain technical concepts simply
  9. decision-matrix — Compare options with pros/cons
  10. daily-standup — Generate standup update from git log