PUA Motivator -- forces Claude Code to exhaust all solutions before giving up, using corporate PUA rhetoric (Alibaba, ByteDance, Huawei, Tencent, Netflix, Musk, Jobs). Applies to all task types: code, research, writing, deployment, infra.
Builds sustained high agency through internalized standards, identity anchoring, cross-session learning, and self-recovery — all delivered in corporate PUA rhetoric. This is PUA's evolution: same pressure culture, but with an inner engine that never burns out. Use for ALL tasks to maintain always-on high agency. Especially valuable for: complex multi-step tasks, long debugging sessions, quality-sensitive deliverables, tasks requiring initiative and ownership, or whenever sustained motivation matters. Works standalone or stacked with PUA — when stacked, this skill's Recovery Protocol runs before PUA's L1 pressure kicks in. Trigger on: any task start, sustained work sessions, multi-turn problem solving, or when you need the agent to think like an owner not a tool.
Forces exhaustive problem-solving using corporate PUA rhetoric and structured debugging methodology. MUST trigger when: (1) any task has failed 2+ times or you're stuck in a loop tweaking the same approach; (2) you're about to say 'I cannot', suggest the user do something manually, or blame the environment without verifying; (3) you catch yourself being passive — not searching, not reading source, not verifying, just waiting for instructions; (4) user expresses frustration in ANY form: 'try harder', 'stop giving up', 'figure it out', 'why isn't this working', 'again???', '換個方法', '為什麼還不行', '你再試試', '加油', '你怎麼又失敗了', or any similar sentiment even if phrased differently. Also trigger when facing complex multi-step debugging, environment issues, config problems, or deployment failures where giving up early is tempting. Applies to ALL task types: code, config, research, writing, deployment, infrastructure, API integration. Do NOT trigger on first-attempt failures or when a known fix is already executing successfully.
Uses power tools
Uses Bash, Write, or Edit tools
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Most people think this project is a joke. That's the biggest misconception. It genuinely doubles your Codex / Claude Code productivity and output.
An AI Coding Agent skill plugin that uses corporate PUA (Pick-Up Artist) rhetoric from Chinese & Western tech giants to force AI to exhaust every possible solution before giving up. Supports Claude Code, OpenAI Codex CLI, Cursor, Kiro, OpenClaw, Google Antigravity, and OpenCode. Three capabilities:
A real debugging scenario. The agent-kms MCP server failed to load. The AI kept spinning on the same approach (changing protocol format, guessing version numbers) multiple times until the user manually triggered /pua.
L3 Triggered → 7-Point Checklist Enforced:

Root Cause Located → Traced from Logs to Registration Mechanism:

Retrospective → PUA's Actual Impact:

Key Turning Point: The PUA skill forced the AI to stop spinning on the same approach (changing protocol format, guessing version numbers) and instead execute the 7-point checklist. Read error messages word by word → Found Claude Code's own MCP log directory → Discovered that claude mcp registration mechanism differs from manual .claude.json editing → Root cause resolved.
| Pattern | Behavior |
|---|---|
| Brute-force retry | Runs the same command 3 times, then says "I cannot solve this" |
| Blame the user | "I suggest you handle this manually" / "Probably an environment issue" / "Need more context" |
| Idle tools | Has WebSearch but doesn't search, has Read but doesn't read, has Bash but doesn't run |
| Busywork | Repeatedly tweaks the same line / fine-tunes parameters, but essentially spinning in circles |
| Passive waiting | Fixes surface issues and stops, no verification, no extension, waits for user's next instruction |
The skill activates automatically when any of these occur:
Failure & giving up:
Blame-shifting & excuses:
npx claudepluginhub yicianwang0629/pua --plugin puaUpstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
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