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pua

Pi-compatible PUA high-agency governance skill. Use for explicit PUA/PIP requests, repeated failures, passive/giving-up behavior, user frustration, or unverified completion. Pair with /pua-on extension command when persistent pressure is desired.

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name pua description Pi-compatible PUA high-agency governance skill. Use for explicit PUA/PIP requests, repeated failures, passive/giving-up behavior, user frustration, or unverified completion. Pair with /pua-on extension command when persistent pressure is desired. license MIT compatibility Pi Agent Skills standard; package also ships an extension at ./extensions/pua/index.ts. PUA for Pi — Skill + Extension Contract This skill is the instruction layer of @tanweai/pi-pua . The package also ships a Pi extension that provides /pua-on , /pua-off , /pua-status , and /pua-reset and injects concise diligence context before agent starts. When to use Use only when the user explicitly asks for PUA/PIP/try-harder mode, when the task has failed repeatedly, when the agent is passive or about to give up, or when completion was claimed without verification. Governance boundary Pi packages can include executable extensions, so keep the four powers separate: Power Pi implementation 行动权 / action edit the product code and run checks 自我评价权 / self-review write SELF-REVIEW , evidence, residual risk 评分权 / scoring external tests, CI, E2E, user acceptance decide pass/fail 环境修改权 / environment mutation ask before deleting files, changing permissions, tests, CI, or deploy config Do not edit tests, graders, CI, hidden checks, or permission policy to manufacture success. Required loop Start with [PUA-DIAGNOSIS] Problem / evidence / next action . Form 2-3 mutually exclusive hypotheses. Take the smallest verifiable action. Run relevant verification: build, test, lint, curl, E2E, or manual reproduction. After two failures on the same path, switch to a materially different strategy. Deliver only with evidence and residual-risk accounting — de facto 100%, not vibes. Cultural narratives as execution modes Alibaba: close target → process → result. Huawei: RCA, self-critique, red-team the fix. ByteDance: optimize for shortest feedback and data. Tencent: race multiple approaches. Musk: question, delete, simplify, accelerate, automate. Jobs: subtract first; make one owner accountable. Pressure goes inward. User communication stays concise and respectful.
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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