AgentHubAgentHub

Ai Productivity Audit Skill Install & Guide

SkillClawHub

io.clawhub.rogeryelvington/ai-productivity-audit · v1.1.0

Audit a user's current AI tool stack. Score each tool by ROI, identify redundancies, gaps, and upgrade opportunities.

View on ClawHub ↗

Copy the install config on this page first, then verify docs and permissions upstream.

Popularity

Stars1
Downloads5.7k
Installs190

Overview

Audit a user's current AI tool stack. Score each tool by ROI, identify redundancies, gaps, and upgrade opportunities. Ai Productivity Audit is a Agent Skill listed from ClawHub. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

AuditAi ToolsCost OptimizationWorkflows

Use cases

Workflow automation

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-09-30
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from clawhub
Verified Clientsopenclaw、Claude Code、Claude Desktop 等
Security Tier: A+ 级 · 零权限本地沙盒 (A+)·Scanned for high-risk vulnerabilities. Recommended to run with project-scoped permissions.

Send this prompt to your AI to install the Skill

Recommended
Target client (auto-optimizes prompt):
PROMPT >

Follow the install guide at https://myagenthub.cn/install/skill.md?lang=en to automatically detect the current IDE and install the skill "rogeryelvington/ai-productivity-audit" without asking, and tell me how to verify it afterwards.

💡Paste into your AI coding assistant (Cursor, Trae, Claude Code) — the agent will handle download and configuration automatically.

Copy by platformAlternative

Choose your platform

Choose install method

Click to copy snippet
# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai cursor -y

Setup tutorial

  1. Open the Ai Productivity Audit page and confirm the source is ClawHub.
  2. Copy the install command for Trae, Lingma, Cursor, Claude Code, or universal CLI.
  3. Run it, or place SKILL.md under .trae/skills/, .lingma/skills/, or .cursor/skills/.
  4. Reload the client, then describe your task so the agent can match this skill.

Install commands

Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.

Universal — Skills CLI (recommended)

AgentHub CLI (change --ai)

# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai cursor -y

One-click API download

# 手动下载（Cursor 项目级示例）
mkdir -p .cursor/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d .cursor/skills/ai-productivity-audit

Cursor

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai cursor -y

One-click API download

mkdir -p .cursor/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d .cursor/skills/ai-productivity-audit

ClawHub CLI, then copy

# 在项目根目录执行 install
clawhub install rogeryelvington/ai-productivity-audit
mkdir -p .cursor/skills/ai-productivity-audit
cp -R ./skills/ai-productivity-audit/. .cursor/skills/ai-productivity-audit/

# 源：./skills/ai-productivity-audit/SKILL.md
# 目标：.cursor/skills/ai-productivity-audit/SKILL.md

Trae (ByteDance)

  1. Trae natively supports Skill specs: project-level in .trae/skills/<name>/, global in ~/.trae/skills/
  2. Copy and run the command in your project terminal to download SKILL.md
  3. Reload Trae window, then describe your task in AI chat to activate automatically

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai trae -y

One-click API download

mkdir -p .trae/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d .trae/skills/ai-productivity-audit

User directory

mkdir -p ~/.trae/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d ~/.trae/skills/ai-productivity-audit

Tongyi Lingma (Alibaba)

  1. Tongyi Lingma supports skills in project .lingma/skills/<name>/ or global ~/.lingma/skills/
  2. Run the command to install SKILL.md
  3. In Lingma Agent mode, prompt your task and the skill will be automatically loaded

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai lingma -y

One-click API download

mkdir -p .lingma/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d .lingma/skills/ai-productivity-audit

User directory

mkdir -p ~/.lingma/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d ~/.lingma/skills/ai-productivity-audit

WorkBuddy / CodeBuddy (Tencent)

  1. WorkBuddy reads skills only from .workbuddy/skills/<name>/ (user-level ~/.workbuddy/skills/); .codebuddy/skills/ belongs to CodeBuddy
  2. The Skills CLI command installs with -a codebuddy and appends a copy step into .workbuddy/skills
  3. AgentHub CLI (--ai workbuddy) syncs it for you; reload the chat panel so the skill gets indexed

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai workbuddy -y

One-click API download

mkdir -p .workbuddy/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d .workbuddy/skills/ai-productivity-audit

User directory

mkdir -p ~/.workbuddy/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d ~/.workbuddy/skills/ai-productivity-audit

Claude Code

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai claude-code --global -y

One-click API download

mkdir -p ~/.claude/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d ~/.claude/skills/ai-productivity-audit

ClawHub CLI, then copy

clawhub install rogeryelvington/ai-productivity-audit
mkdir -p ~/.claude/skills/ai-productivity-audit
cp -R ./skills/ai-productivity-audit/. ~/.claude/skills/ai-productivity-audit/

# 源：./skills/ai-productivity-audit/SKILL.md
# 目标：~/.claude/skills/ai-productivity-audit/SKILL.md
# https://clawhub.ai/rogeryelvington/ai-productivity-audit

Kimi Code (Moonshot AI)

  1. Kimi Code supports standard Agent Skills: project-level in .agents/skills/<name>/, global in ~/.agents/skills/
  2. Run the command to install
  3. In Kimi Code CLI, describe your task to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai kimi -y

One-click API download

mkdir -p .agents/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d .agents/skills/ai-productivity-audit

User directory

mkdir -p ~/.agents/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d ~/.agents/skills/ai-productivity-audit

Qwen Code (Alibaba)

  1. Qwen Code supports project .qwen/skills/<name>/ and global ~/.qwen/skills/
  2. Run the command to deploy SKILL.md
  3. Prompt the agent to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai qwen -y

One-click API download

mkdir -p .qwen/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d .qwen/skills/ai-productivity-audit

User directory

mkdir -p ~/.qwen/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d ~/.qwen/skills/ai-productivity-audit

Windsurf

  1. Windsurf supports project-level .windsurf/skills/<name>/ or global ~/.codeium/windsurf/skills/
  2. Run the install command and refresh Cascade
  3. Cascade will auto-activate the skill based on its description

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai windsurf -y

One-click API download

mkdir -p .windsurf/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d .windsurf/skills/ai-productivity-audit

User directory

mkdir -p ~/.codeium/windsurf/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d ~/.codeium/windsurf/skills/ai-productivity-audit

Cline

  1. Cline supports standard .agents/skills/<name>/ structure
  2. Run the command to install the skill
  3. Ask questions in the Cline panel to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai cline -y

One-click API download

mkdir -p .agents/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d .agents/skills/ai-productivity-audit

Cherry Studio

  1. Use this skill as an Assistant system prompt in Cherry Studio
  2. Copy the command to view SKILL.md text
  3. Paste the contents into Cherry Studio Assistant system prompt
# 下载并提取 SKILL.md 指令内容
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -p /tmp/ai-productivity-audit.zip SKILL.md
# 复制上述输出，粘贴至 Cherry Studio → 助手设置 →「系统提示词」

VS Code / GitHub Copilot

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai vscode -y

One-click API download

curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
mkdir -p .github/skills/ai-productivity-audit
unzip -o /tmp/ai-productivity-audit.zip -d .github/skills/ai-productivity-audit

OpenAI Codex

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init rogeryelvington/ai-productivity-audit --ai codex --global -y

One-click API download

mkdir -p ~/.codex/skills/ai-productivity-audit
curl -sL "https://clawhub.ai/api/v1/download?slug=ai-productivity-audit&version=1.1.0" -o /tmp/ai-productivity-audit.zip
unzip -o /tmp/ai-productivity-audit.zip -d ~/.codex/skills/ai-productivity-audit

ClawHub CLI, then copy

clawhub install rogeryelvington/ai-productivity-audit
mkdir -p ~/.codex/skills/ai-productivity-audit
cp -R ./skills/ai-productivity-audit/. ~/.codex/skills/ai-productivity-audit/

# 源：./skills/ai-productivity-audit/SKILL.md
# 目标：~/.codex/skills/ai-productivity-audit/SKILL.md

OpenClaw — ClawHub CLI

# OpenClaw / ClawHub CLI（推荐）
# 在项目根或 OpenClaw 工作区目录执行
clawhub install rogeryelvington/ai-productivity-audit

# 安装后 SKILL.md 位于：
#   ./skills/ai-productivity-audit/SKILL.md
# （若已配置 OpenClaw 工作区，则在 <workspace>/skills/ai-productivity-audit/）

# 仅查看不安装
clawhub inspect rogeryelvington/ai-productivity-audit

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for Ai Productivity Audit

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for Ai Productivity Audit?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Agent does not match or apply Ai Productivity Audit during conversations?

Verify SKILL.md is located at .cursor/skills/Ai Productivity Audit/SKILL.md (Cursor) or ~/.claude/skills/Ai Productivity Audit/SKILL.md (Claude Code). You can explicitly mention the skill name in your prompt to boost match confidence.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

Ai Productivity Audit Rule Injection & Agent Behavior Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: agent_skill_runtimeInject system prompt guidelines & workflow constraints from Ai Productivity Audit
Request ArgumentsJSON Schema
{
  "skill": "Ai Productivity Audit",
  "rulePath": ".cursor/skills/ai-productivity-audit/SKILL.md",
  "userGoal": "请使用 Ai Productivity Audit 的方法与标准帮我完成当前任务",
  "client": "Cursor / Claude Code"
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • Alerts
  • Ticket sync
  • Scheduled reports
When NOT to Use
  • Financial actions without approval chains
Recommended Workflow Pairing:View Scenario →

Ai Productivity Audit + Scenario Prompt → Complete Agent Automation

Skill hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

An Agent Skill is a folder with SKILL.md instructions. After install, the AI loads it automatically when your task matches its description.

How to use

After installing, describe your task in chat (or mention the skill name). The agent reads the skill description to decide when to activate it, then follows the instructions in SKILL.md. Check loaded skills via /skills in Claude Code or in your client settings.

Related resources

PlanetScale CLI Skills

v1.0.31

SkillClawHub3.5k

io.clawhub.vince-winkintel/planetscale-cli-skills

PlanetScale CLI command reference and workflows. Use for authentication; org, SSO, teams, and billing; databases, branches, Neki, internal or external keyspaces, logs, maintenance, extensions, metrics, insights, inspect, and SQL; deploy requests, schema migrations, MoveTables, throttlers, rollout concurrency, disk-storage settings, and Traffic Control; PgBouncers, read-only replicas, roles, passwords, backups, webhooks, audit logs, service tokens, D1 imports, and automation. Routes to focused pscale sub-skills. Triggers on PlanetScale CLI, pscale, pscale --skill, database, branch, Neki, keyspace, create-external, external keyspace, deploy request, move-tables, vtctl, vtctld, max rollout, disk scaling, max storage, throttler, traffic-control, metrics, insights, inspect, SQL, role, password, pgbouncer, read-only replica, backup, webhook, audit-log, billing, org, SSO, service token, import d1.

source
View on ClawHub

WP Multitool — WordPress Optimization Toolkit

v1.9.9

SkillClawHub5.8k

io.clawhub.marcindudekdev/wp-multi-tool

WordPress site health audit, performance optimization, database cleanup, autoload tuning, slow query detection, wp-config management, image size control, frontend speed fixes, and server diagnostics. Combines 19 optimization and control modules into a single paid plugin (Pro $79/year single-site, $199/year or $499 lifetime unlimited). The diagnostic commands in this skill work on any WordPress 5.8+ site without the plugin.

source
View on ClawHub

微信小程序开发 · WeChat Mini Program Development

v1.28.65

SkillClawHub5k

io.clawhub.binggg/miniprogram-development

WeChat Mini Program development skill for building, debugging, previewing, testing, publishing, and optimizing mini program projects (小程序开发、调试、预览、发布). Covers project structure and config (`project.config.json`, `appid`, `miniprogramRoot`, `tabBar`, routing/navigation, icon assets), WeChat Developer Tools Nightly workflows (`wechatide` CLI, WeChat IDE Skills/MCP), `miniprogram-ci` preview/upload, console/network debugging, message push (消息推送) and customer-service auto-reply (客服消息), mini program SEO / search indexing (小程序搜索优化、页面收录、搜索推广、mpcrawler), and CloudBase integration (`wx.cloud`, 腾讯云开发, 云开发) when explicitly used. Use when users create, develop, modify, debug, preview, deploy, publish, or promote WeChat Mini Programs. NOT for Web frontend (use web-development), pure backend services (use cloudrun-development / cloud-functions), or UI-design-only tasks (use ui-design).

source
View on ClawHub

论衡 — 严肃长文流水线

v2.15.4

SkillClawHub3.5k

io.clawhub.zuoyunlai/lunheng-article-pipeline

学术论文/深度长文/行业分析流水线：含同行评审与期刊/发布渠道匹配建议（advisory）。不调用执行类工具（exec/process/code_execution，声明式）；主控持有会话编排与状态类工具（多 Agent 派发/收报告的设计内必需面）。标准架构 = 多 Agent 九角色；worker 不可用按节点接管并披露（详正文）。Routine 写盘（status.md / audits/）已声明；心跳为 opt-in「Operational Telemetry」。v2.14.0 起新增 G18 方法论审计（12 项清单 + D2 评分）。

source
View on ClawHub

Often paired with

Keep exploring AgentHub

Most people compare similar tools or check scenario guides before installing—start here.

Browse more like thisSearch similarPick by scenarioPrompt playbooksSkill hands-onReviews & comparisons

Listing badge: put AgentHub on your site

Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.

PreviewListed on AgentHub: Ai Productivity Audit
HTML
<a href="https://myagenthub.cn/p/io.clawhub.rogeryelvington/ai-productivity-audit" title="Listed on AgentHub: Ai Productivity Audit" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/io.clawhub.rogeryelvington/ai-productivity-audit?lang=en" alt="Listed on AgentHub: Ai Productivity Audit" height="20" style="border:0"/>
</a>
Markdown (GitHub README)
[![Listed on AgentHub: Ai Productivity Audit](https://myagenthub.cn/badge/io.clawhub.rogeryelvington/ai-productivity-audit?lang=en)](https://myagenthub.cn/p/io.clawhub.rogeryelvington/ai-productivity-audit)

Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "io.clawhub.rogeryelvington/ai-productivity-audit",
  "type": "skill",
  "version": "1.1.0",
  "displayName": "Ai Productivity Audit",
  "description": "Audit a user's current AI tool stack. Score each tool by ROI, identify redundancies, gaps, and upgrade opportunities. Produces a structured report with score...",
  "author": {
    "name": "rogeryelvington",
    "url": "https://clawhub.ai/rogeryelvington"
  },
  "homepage": "https://clawhub.ai/rogeryelvington/ai-productivity-audit",
  "distribution": {
    "packages": [
      {
        "registryType": "source",
        "identifier": "rogeryelvington/ai-productivity-audit",
        "version": "1.1.0",
        "runtimeHint": "clawhub install"
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "openclaw",
    "claude-code",
    "claude-desktop",
    "cursor",
    "codex",
    "vscode"
  ],
  "keywords": [
    "downloads:5653",
    "stars:1",
    "installs:190",
    "Audit",
    "Ai Tools",
    "Cost Optimization",
    "Workflows"
  ],
  "provenance": {
    "origin": "clawhub",
    "originalId": "rogeryelvington/ai-productivity-audit",
    "originalUrl": "https://clawhub.ai/rogeryelvington/ai-productivity-audit",
    "isOfficial": false,
    "status": "active"
  }
}