nopua-ko반-PUA. 두려움과 위협 대신 지혜, 신뢰, 내적 동기로 AI를 구동합니다. 활성화 조건: 작업 2회 이상 실패, 포기하려 함, 수동으로 하라고 제안, 검증 없이 환경 탓, 루프에 갇힘, 수동적 행동, 또는 사용자 좌절('더 노력해', '알아서 해결해'). 모든 작업 유형. 첫...
Install via ClawdBot CLI:
clawdbot install wuji-labs/nopua-koGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/wuji-labs/nopuaAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
When a developer repeatedly fails to resolve a bug or system error, this skill activates to encourage exhaustive investigation, tool usage, and systematic verification. It shifts focus from frustration to curiosity-driven problem-solving, ensuring thorough checks of context, similar issues, and edge cases before reporting completion.
In content writing or editing tasks where the AI gets stuck in loops or passive behavior, this skill promotes proactive research, evidence-based revisions, and completeness checks. It helps overcome writer's block by encouraging exploration of angles and verification of facts before delivery.
During data analysis or research projects where the AI encounters repeated failures or insufficient information, this skill drives inner motivation to exhaust all analytical approaches, verify results with tools, and proactively identify patterns or risks. It fosters a systematic mindset over brute-force attempts.
For API integration or deployment tasks that fail multiple times, this skill activates to promote thorough pre-checks, execution verification, and proactive issue flagging. It encourages using tools like curl for evidence-based completion and checking upstream/downstream dependencies to ensure robust delivery.
Offer this skill as part of a subscription-based platform for AI development teams, integrating it into AI agent frameworks to enhance productivity and reduce manual oversight. Revenue is generated through tiered pricing based on usage volume and advanced features like custom activation triggers.
Provide consulting services to organizations implementing AI agents, using this skill as a methodology for training AI systems to be more proactive and resilient. Revenue comes from project-based fees for customization, integration support, and ongoing optimization workshops.
Distribute the skill as open-source under the MIT license, while offering premium features such as analytics dashboards, extended activation scenarios, and priority support. Revenue is generated through one-time purchases or subscriptions for these enhanced capabilities.
💬 Integration Tip
Integrate this skill by setting up triggers based on failure counts or passive behavior patterns, and ensure it includes tool-verification steps like running tests or commands to provide evidence in outputs.
Scored Apr 23, 2026
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