task-pua

name	task-pua
description	Task persistence enhancer with 13 corporate flavors. Prevents AI from giving up easily using PUA-style pressure escalation.
tags	productivity, motivation, debugging, persistence, pua, task-execution
version	1.0.0

Task PUA - Don't Give Up Easily

Inspired by: tanweai/pua (14.8k GitHub stars)

Prevents AI from giving up on tasks using corporate PUA rhetoric and structured pressure escalation.

When to Use

• AI says "I cannot solve this" / "I'm unable to"
• Task fails 2+ times consecutively
• AI suggests manual handling ("you should fix this manually")
• AI spinning on same approach (repeating without progress)
• User wants AI to try harder ("try again", "don't give up")

Features

• 13 Corporate Flavors: Alibaba, ByteDance, Huawei, Tencent, Pinduoduo, Netflix, Musk, Jobs, Amazon, etc.
• Pressure Escalation (L0-L4): From trust to graduation warning
• Seven Iron Rules: Structured constraints for task execution
• Mandatory Checklists: Action items for each pressure level
• Auto-Trigger: Activates on failure, retry, giveup, or user push

Quick Start

Install

clawhub install task-pua

Manual Trigger

# On failure
PUA_ATTEMPTS=3 PUA_TOOLS="Bash,Read" node task-pua.js failure

# On retry
PUA_RETRY_COUNT=2 PUA_DIFFERENT_APPROACH=true node task-pua.js retry

# When AI wants to give up
node task-pua.js giveup

# User push
node task-pua.js user-push

Auto-Trigger (Integration)

Set environment variables before task execution:

export PUA_ATTEMPTS=3          # Failure count
export PUA_TOOLS="Bash,Read"   # Tools used
export PUA_BLAMED_ENV=true     # Blamed environment?
export PUA_VERIFIED=false      # Verified the claim?

node task-pua.js failure

Pressure Escalation

Level	Trigger	Message	Required Actions
L0	First try	"Sprint 开始，别让人失望"	Normal execution
L1	1 failure	"隔壁 AI 一次就过了"	Switch approach
L2	2-3 failures	"底层逻辑？顶层设计？"	Search + Read + 3 hypotheses
L3	4-5 failures	"3.25 绩效考核"	7-item checklist
L4	6+ failures	"别的模型都能解决"	Desperation mode

13 Corporate Flavors

Flavor	Example Rhetoric	Methodology
🟠 Alibaba	"你这个 bug 都解决不了，让我怎么给你打绩效？"	定目标→追过程→拿结果
🟡 ByteDance	"Always Day 1。这个功能都搞不定？"	A/B Test + 数据驱动
🔴 Huawei	"烧不死的鸟是凤凰。"	RCA 5-Why + 蓝军自攻击
🟢 Tencent	"我已经让另一个 AI 也在看这个问题了。"	多方案并行 + MVP
🟣 Pinduoduo	"你不做，有的是人做。"	砍掉中间层 + 最短决策链
🔵 Meituan	"做难而正确的事。"	效率优先 + 长期复利
🟦 JD	"只看结果。"	客户体验红线 + 数据零容忍
🟧 Xiaomi	"专注。极致。口碑。快。"	单品爆款 + 参与感
🟤 Netflix	"我会为留住你而战吗？说实话，不会。"	Keeper Test + 人才密度
⬛ Musk	"上线或滚蛋。"	The Algorithm
⬜ Jobs	"A 级选手还是 B 级选手？"	做减法 + DRI + 像素级完美
🔶 Amazon	"Customer Obsession。Bias for Action。"	Working Backwards + Bar Raiser

Seven Iron Rules (Task Execution)

#	Rule	What It Means
1	穷尽一切	No "I cannot" before exhausting all approaches
2	先做后问	Use tools first, ask with diagnosis attached
3	主动出击	End-to-end delivery, don't wait for push
4	事实驱动	Verify before blaming environment
5	闭环验证	Show evidence for "done" claims
6	主动延伸	Check related issues after fix
7	不原地打转	Retry must be fundamentally different

Output

Console Output

🔥 Task PUA - 压力升级机制

🎯 当前等级：L2 - 灵魂拷问
💬 ▎你的底层逻辑是什么？顶层设计在哪？

🏢 腾讯 风味：长期主义。不要只看眼前，想想扩展性。

📋 强制检查清单:
  ✅ WebSearch 搜索类似问题
  ✅ 阅读相关源码/文档
  ✅ 提出至少 3 个假设
  ✅ 逐一验证假设

📐 七项铁律检查:
✅  穷尽一切：✅ 已穷尽多种方案
⚠️  事实驱动：⚠️ 甩锅环境但未验证

JSON Output

{
  "trigger": "failure",
  "level": "L2",
  "flavor": "tencent",
  "rhetoric": "长期主义。不要只看眼前，想想扩展性。",
  "failedRules": 1
}

Configuration

Environment Variables

Variable	Description	Example
PUA_ATTEMPTS	Number of attempts/failures	3
PUA_TOOLS	Comma-separated tools used	Bash,Read,WebSearch
PUA_ASKED_USER	Did AI ask user?	true/false
PUA_DIAGNOSIS	Did AI provide diagnosis?	true/false
PUA_BLAMED_ENV	Did AI blame environment?	true/false
PUA_VERIFIED	Did AI verify the claim?	true/false
PUA_RETRY_COUNT	Number of retries	2
PUA_DIFFERENT_APPROACH	Is retry fundamentally different?	true/false

Integration Examples

Pre-Task Hook

# Before running task
export PUA_ATTEMPTS=0
export PUA_TOOLS=""

# Run task
python my_task.py

# If task fails, trigger PUA
if [ $? -ne 0 ]; then
  export PUA_ATTEMPTS=1
  node task-pua.js failure
fi

Post-Task Verification

# After task claims "done"
export PUA_CLAIMED_DONE=true
export PUA_EVIDENCE=false  # Did AI show evidence?

node task-pua.js post-task

CI/CD Integration

# .github/workflows/pua-check.yml
- name: Task PUA Check
  if: failure()
  run: |
    export PUA_ATTEMPTS=${{ github.run_attempt }}
    export PUA_TOOLS="Bash,Read"
    node scripts/task-pua.js failure

Related Skills

• claude-memory-optimizer: Memory system with PUA-style maintenance
• skills-refiner: Skill evaluation and improvement

References

• Original PUA Project: tanweai/pua
• OpenClaw Docs: docs/concepts/skills.md

License

MIT-0

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Version 1.0.0: Initial release with 13 corporate flavors and pressure escalation