nerd
Skills to unlock high level IQ (Mensa) capabilities for agent
170
安装命令
npx skhub add --skillset @danangjoyoo/nerd包含的技能
Use when answering, explaining, comparing, or guiding conversationally, or when generating and choosing among possible directions, before creating artifacts or mutating state.
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Use when establishing why behavior is broken, unexpected, or inconsistent and reporting a confirmed, probable, or unknown cause without performing repair.
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Use when creating or updating a requested static documentation artifact from established information without changing product behavior.
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Use when implementing an approved written plan or confirmed coding outcome in an existing repository, including requests to build, add, change, or write code.
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Use when discovering codebase facts, context, patterns, constraints, or unknowns through focused, incremental, read-only investigation without diagnosing a failure or modifying state.
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Use when explicitly invoked or when a concrete latency constraint requires minimizing wall-clock agent time without reducing accuracy.
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Use when the user explicitly asks for Nerd Loop or wants a cost-proportional, behavior-aware task-completion controller that selects the cheapest adequate loop profile and iterates toward an explicit Definition of Done through focused work, automatic verification, and bounded stopping rules.
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Use when the installed Nerd hook activates behavioral memory, the user invokes $nerd-memory or /nerd-memory, or Nerd Smart selects longitudinal behavioral advice.
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Use when observing and rechecking an ongoing process or state until a requested condition, deadline, or meaningful change occurs without mutation.
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Use when examining a confirmed code, pull request, module, application, endpoint, dependency, or configuration scope for vulnerabilities, unsafe behavior, or exploitability.
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Use when turning a confirmed outcome into actionable, ordered implementation steps with file-level changes and proof, then stopping before execution.
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Use when reviewing existing code, implementations, pull requests, or named scopes with stack-aware checks and severity-ranked findings, without edits.
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Use when explicitly invoked, when reducing agent-workflow cost, or when a concrete deliverable requires no narration, final only, code only, findings only, or minimal output.
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Use when a request needs fast alignment on outcome, endpoint, or scope before handing work to exactly one endpoint route, including ambiguous or materially multi-goal requests.
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Use when defining requirements, observable behavior, boundaries, or system design and stopping before implementation planning or execution.
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Use when code, integrations, automation, infrastructure, or runtime behavior is broken, unexpected, inconsistent, or probably misimplemented and the user wants diagnosis, root-cause analysis, or repair.
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Use only when explicitly invoked for a concrete output or authorized file or code change where latency is worth reduced exploration, accuracy, completeness, and proof breadth.
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