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Review documentation, READMEs, guides, or prose against the good-docs-writing style rules. Receive structured findings with file and line references, quoted passages, and concrete rewrites. Files are edited only when explicitly requested.
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Prepare structured briefs for meetings involving legal matters, such as contract negotiations or board reviews. Gather background, highlight open issues and preparation gaps, and organize resulting action items with owners, deadlines, priorities, and follow-up steps.
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Turn a feature idea or user problem into a structured specification or product requirements document. Define goals, scope, priorities, success measures, and acceptance criteria, with phased delivery when the request is too large.
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Investigate errors and unexpected behavior through reproduction, isolation, diagnosis, and a proposed fix. Receive a structured report covering the root cause, necessary code or configuration changes, and suggested tests to prevent the issue from returning.
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Write Git commit messages that preserve why changes were made. The skill keeps Conventional Commits subject lines and adds structured body entries for user intent, decisions, rejected alternatives, constraints, and lessons supported by the session context.
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Support local search work for businesses that visit customers, such as repair and cleaning services. Audit Google Business Profile, draft neighborhood pages, compare business contact details across directories, and prepare structured business data and review replies.
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Turn a product description into a landing page with headlines, feature sections, pricing, FAQs, and calls to action. Receive Next.js/React components styled with Tailwind CSS, plus search metadata, structured data, and alternative copy.
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Track code changes in structured JSON records, including reasons, test results, progress, and approvals. Save remaining tasks and key decisions so another AI session can understand the work and continue from the recorded handoff.
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Analyze pull requests and source code across multiple programming languages to identify complexity, security risks, and structural problems. Produce prioritized findings and structured review reports to guide code review decisions.
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Structure responses to buyer questionnaires and proposal requests by classifying requirements, matching claims to verifiable evidence, and exposing gaps. Develop buyer-focused reasons to choose your offer and estimate win probability to support bid decisions.
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Run a structured sprint retrospective, a review of a short work cycle, using team feedback and delivery results. Identify shared themes and produce two or three prioritized improvements with owners, deadlines, and measures of success.
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Build an Opportunity Solution Tree, a structured map linking one measurable product outcome to customer needs, possible solutions, and experiments. Use research findings to prioritize problems and define hypotheses, metrics, and success thresholds for testing ideas.
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Turn meeting transcripts or notes into structured summaries with dates, participants, topics, and decisions. Capture action items with owners and deadlines, highlight unresolved questions, and save the result as a Markdown document for sharing.
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Create a game playtest report template or turn session notes into organized feedback. Separate gameplay problems from bugs, compare observations with design intent, and identify priorities for design changes, balance adjustments, and polish.
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Turn requirements for software or other multi-step work into a structured plan with an approach, constraints, and verification steps. It also helps develop existing plans, researching decisions before handing the work over for execution.
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Design AI agent analytics workflows across distributed tables and documents. Combine Knowledge Catalog for metadata, meaning information about data and its usage rules, with managed Spark processing to produce architecture diagrams, deployment guidance, and validation plans.
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Investigate Google Cloud access denials and choose a resolution path based on the caller’s permissions. Supports temporary access activation, structured escalation tickets, policy analysis, and administrator selection of roles that grant only the permissions needed.
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Build conversations and workflows with the Gemini Interactions API on Gemini Enterprise Agent Platform. Follow Python or JavaScript examples for server-stored conversation history, streaming responses, structured JSON output, function calls, and background agent tasks.
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Helps build AI features in Go with Genkit, including text generation, structured data output, streaming, tool calls, and conversational agents. Guides HTTP serving and trace inspection to check model responses and tool execution.
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Assess applications against a role's written scoring criteria, recording strengths, gaps, and supporting resume quotes. Save a structured review and propose tentative interview times for strong matches, while leaving all advancement and rejection decisions to the hiring manager.
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Help an AI agent work through stalled coding, research, writing, and other tasks using diagnosis, alternative approaches, and evidence-based verification. It combines stern corporate-style roleplay with escalating checks and structured handoffs when problems remain unresolved.
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Guide an AI agent through stalled work using structured investigation, different hypotheses, and checks backed by actual output. The skill combines systematic problem solving with forceful Japanese workplace rhetoric and applies across coding, research, writing, and planning.
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Helps AI agents recover from repeated failures by reviewing previous attempts, checking original sources, testing different hypotheses, and verifying results. It combines structured troubleshooting with performance review rhetoric modeled on large technology companies.
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Structure problem solving around clear goals, competing explanations, experiments, and measurable results. Use the cycle to diagnose bugs, validate features, compare prompts, or evaluate an early product, then choose the next step based on evidence.
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