Token导航 LogoToken导航TokenDH.com
效率需要联网clawhub未标认证来源可访问clear审计提醒

demo-precacher演示预缓存器

Agent Skill

demo-precacher 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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

10,869

周安装

444

GitHub Stars

公开资料未说明

下载量

3,516
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:demo-precacher(演示预缓存器)
来源仓库:https://github.com/nissan/demo-precacher
安装命令:
openclaw skills install demo-precacher
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 demo-precacher

简介

demo-precacher 用于预生成并缓存所有演示内容,提前验证 API 端点和播放覆盖。

  • 适合现场演示前进行完整性检查和差距报告生成。
  • 通过 clawhub 安装并使用 openclaw skills install demo-precacher 命令部署。
  • 需确认网络可达性和 API 密钥权限,避免缓存失败。
  • 建议在正式演示前至少一小时完成预加载流程。

SKILL.md

name
demo-precacher
description
Pre-generate and cache all demo content before live presentations — hit every API endpoint in advance, verify playback, report coverage gaps. Use before hackathon demos, investor pitches, or any live presentation that relies on AI-generated content. Never demo live API calls.
version
1.0.0
metadata
openclaw
emoji
🏃
requires
bins
[]
env
primaryEnv
ELEVENLABS_API_KEY
network
outbound
true
reason
Pre-generates content by calling your configured APIs (ElevenLabs, Mistral, etc.) ahead of a live demo.
security_notes
base64 usage is for encoding binary audio/image content to store in cache — not for obfuscation or exfiltration.

Demo Precacher

The golden rule of AI demos: never rely on live API calls during a presentation. This skill provides a systematic approach to pre-generating and verifying all demo content before you go live.

Why This Exists

In a 48-hour hackathon, we had 18 stories across 10 languages with audio narration, sound effects, and background music. During the demo, the Mistral API had a 3-second latency spike. Because everything was pre-cached, the demo played flawlessly from cache while the audience assumed it was generating in real-time.

The Pattern

async def precache_demo():
    scenarios = [
        {"name": "Sophie", "language": "fr", "prompt": "A story about cloud whales..."},
        {"name": "Kai", "language": "ja", "prompt": "A story about bamboo forests..."},
    ]
    
    for s in scenarios:
        # Step 1: Generate content (hits the real API)
        story = await generate_story(s["prompt"], s["name"], s["language"])
        
        # Step 2: Cache the result
        await cache.set(s, story)
        
        # Step 3: Generate all derived content (audio, images)
        for scene in story["scenes"]:
            audio = await generate_tts(scene["text"], voice_id)
            await cache.set(f"audio_{scene['id']}", audio)
        
        # Step 4: Verify playback
        cached = await cache.get(s)
        assert cached is not None, f"Cache miss for {s['name']}"
    
    # Step 5: Report coverage
    print(f"Cached {len(scenarios)} scenarios, all verified ✅")

Checklist

Before any live demo, verify:

  • [ ] All primary scenarios cached and verified
  • [ ] Audio files playable (correct format, no corruption)
  • [ ] Fallback content available if cache miss occurs
  • [ ] Demo account credentials working
  • [ ] Network not required for cached playback
  • [ ] Cache TTL won't expire during the presentation

Files

  • scripts/precache_demo.py — Example precacher with verification and coverage reporting

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

82.82%
按下载量换算2,912

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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

继续浏览同类 Skills