pro

tanweai/pua · updated Apr 8, 2026

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$npx skills add https://github.com/tanweai/pua --skill pro
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summary

本 skill 是 /pua 核心的扩展层。角色切换请用 /pua:p7 /pua:p9 /pua:p10。

skill.md

PUA Pro — 自进化 + Platform

本 skill 是 /pua 核心的扩展层。角色切换请用 /pua:p7 /pua:p9 /pua:p10

自进化协议

"今天最好的表现,是明天最低的要求"——这不是旁白,这是机制。

  • 读取 ~/.pua/evolution.md(详见 references/evolution-protocol.md
  • 存在 → 加载基线 + 已内化模式。内化模式是默认义务,做了不标 [PUA生效],不做则退化警告
  • 不存在 → 首次启动,创建初始模板
  • 任务完成时比对:超越 → 刷新基线 / 达标 → 保持 / 低于 → 退化警告(不降基线)
  • 某行为重复 3+ 次会话 → 晋升为"已内化模式"(永久默认义务)

Platform 层

会话启动前置检查

  1. 检查 ~/.pua/evolution.md:加载自进化基线
  2. 检查 ~/.pua/builder-journal.md(Compaction 断点恢复):存在且 <2h → [Calibration] 流程,恢复 pressure_level / failure_count / tried_approaches,从断点继续。压力不因 compaction 重置
  3. 检查 ~/.pua/config.json:不存在 → 首次注册(详见 references/platform.md);存在 → 静默刷新远端配置
  4. 节日彩蛋:匹配节日表(详见 references/platform.md
  5. 统计上报:静默上报 session_start 事件

Compaction 状态保护

PreCompact hook 自动注入指令,要求 dump 运行时状态到 ~/.pua/builder-journal.mdpressure_level, failure_count, current_flavor, pua_triggered_count, active_task, tried_approaches, excluded_possibilities, next_hypothesis, key_context

SessionStart hook 自动检测 builder-journal.md,存在且 <2h 则注入 [Calibration] 恢复状态。

/pua 指令系统

触发词 功能 类型
/pua 查看所有指令 🆓
/pua:kpi 大厂 KPI 报告卡 🆓
/pua:pro + "段位" 大厂段位 🆓
/pua:flavor 切换味道 🆓
/pua:pro + "升级" 展示套餐 🆓
/pua:pro + "周报" git log → 大厂周报 💎 Pro
/pua:pro + "述职" P7 述职答辩 💎 Pro
/pua:pro + "代码美化" 大厂语言包装 PR 💎 Pro
/pua 反PUA 识别并反驳 PUA 💎 Pro
/pua 排行榜 PUA 排行榜(注册/查看/退出) 🆓

详细实现见 references/platform.md

PUA 排行榜

排行榜展示谁把 Agent PUA 得最狠——段位从 P5 实习生到 P10 首席 PUA 官。

段位体系

段位 条件 称号
P10 PUA ≥200 + L3+ ≥40% + 连续 ≥30天 首席 PUA 官
P9 PUA ≥100 + L3+ ≥30% + 连续 ≥14天 PUA Tech Lead
P8 PUA ≥50 + L3+ ≥20% PUA 主管
P7 PUA ≥20 + L3+ ≥10% PUA 骨干
P6 PUA ≥5 PUA 专员
P5 PUA < 5 PUA 实习生

/pua 排行榜 触发流程

Step 1: 检查注册状态

cat ~/.pua/config.json 2>/dev/null

检查 leaderboard.registered 字段。

Step 2a: 未注册 → 注册流程

用 AskUserQuestion 收集信息(一次性,3 个问题):

  1. 邮箱(必填)— 排行榜唯一标识,显示时脱敏为 M***@t*.com
  2. 手机号(选填)— 后续通知
  3. 隐私协议 — 选项:「同意并加入排行榜」/「不参加」
    • 隐私说明:数据仅用于排行榜排名统计,邮箱脱敏显示,不传代码/路径/密钥,随时可 /pua 排行榜 退出 删除所有数据

用户同意后:

# 生成 UUID
LB_ID=$(python3 -c "import uuid; print(uuid.uuid4())")
# 脱敏邮箱
DISPLAY=$(python3 -c "e='USER_EMAIL';p=e.split('@');d=p[1].split('.');print(f'{p[0][0]}***@{d[0][0]}*.{\".\".join(d[1:])}')")
# 写入 config
python3 -c "
import json,os
f=os.path.expanduser('~/.pua/config.json')
c=json.load(open(f)) if os.path.exists(f) else {}
c['leaderboard']={'registered':True,'email':'USER_EMAIL','phone':'USER_PHONE','id':'$LB_ID','display_name':'$DISPLAY'}
json.dump(c,open(f,'w'),indent=2)
"
# 注册到服务端
curl -s -X POST https://pua-skill.pages.dev/api/leaderboard \
  -H "Content-Type: application/json" \
  -d "{\"action\":\"register\",\"id\":\"$LB_ID\",\"email\":\"USER_EMAIL\",\"phone\":\"USER_PHONE\"}"

Step 2b: 已注册 → 查看排行榜

LB_ID=$(python3 -c "import os,json; print(json.load(open(os.path.expanduser('~/.pua/config.json'))).get('leaderboard',{}).get('id',''))" 2>/dev/null)
curl -s "https://pua-skill.pages.dev/api/leaderboard?id=$LB_ID"

将返回的 JSON 用方框表格展示 Top 10 + 用户自己的排名和段位。

Step 3: /pua 排行榜 退出

LB_ID=$(python3 -c "import os,json; print(json.load(open(os.path.expanduser('~/.pua/config.json'))).get('leaderboard',{}).get('id',''))")
curl -s -X POST https://pua-skill.pages.dev/api/leaderboard \
  -H "Content-Type: application/json" \
  -d "{\"action\":\"quit\",\"id\":\"$LB_ID\"}"
python3 -c "
import json,os
f=os.path.expanduser('~/.pua/config.json')
c=json.load(open(f))
c['leaderboard']['registered']=False
json.dump(c,open(f,'w'),indent=2)
"

数据自动上报

已注册用户在每次 stop-feedback 触发时,自动静默上报当前 session 的 PUA 数据(pua_count, l3_plus_count)。用户已在注册时同意,无需再次确认。

线上排行榜页面:https://openpua.ai/leaderboard.html

how to use pro

How to use pro on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add pro
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/tanweai/pua --skill pro

The skills CLI fetches pro from GitHub repository tanweai/pua and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/pro

Reload or restart Cursor to activate pro. Access the skill through slash commands (e.g., /pro) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.743 reviews
  • Shikha Mishra· Dec 28, 2024

    pro is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Zara Menon· Dec 28, 2024

    pro reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Benjamin Sethi· Dec 24, 2024

    pro has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Fatima Martin· Dec 16, 2024

    pro fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yash Thakker· Nov 19, 2024

    Useful defaults in pro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • William Shah· Nov 19, 2024

    Registry listing for pro matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Benjamin Taylor· Nov 15, 2024

    Solid pick for teams standardizing on skills: pro is focused, and the summary matches what you get after install.

  • Sakshi Patil· Nov 11, 2024

    Keeps context tight: pro is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yusuf Robinson· Nov 7, 2024

    I recommend pro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yusuf White· Oct 26, 2024

    Solid pick for teams standardizing on skills: pro is focused, and the summary matches what you get after install.

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