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Review product performance by comparing usage, retention, revenue, and other metrics with previous periods and targets. Turn the numbers into a scorecard, explain meaningful trends and uncertainties, and recommend investigations or improvement experiments.
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Turn marketing results into a report with key metrics, comparisons over time, wins, and areas to improve. Prioritize recommendations by expected impact and effort, then outline the next period’s actions for teams or leadership.
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Prepare self-assessments, manager reviews, and documents for meetings that align employee ratings. Structure achievements, goal evidence, development plans, and promotion cases, turning vague feedback into specific observations about behavior and impact.
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Investigate slow Node.js, Python, and Go applications by measuring CPU use, memory, database queries, and data transfer. Identify bottlenecks, inspect frontend bundle sizes, run load tests, and compare measurements before and after changes to verify improvements.
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Helps build React and Next.js interfaces with TypeScript and Tailwind CSS. Provides project and component generators, reviews dependencies for code size reductions, and guides measurable improvements to loading performance, accessibility, and frontend code quality.
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Plan hiring around business needs, estimate staffing costs, and develop salary bands, equity frameworks, and organizational structures. Use people metrics to examine retention and performance, producing practical proposals for growing companies and their HR leaders.
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Review code changes or a repository for actionable bugs by tracing how components interact. Findings explain reachable triggers, incorrect behavior, consequences, and checked counterarguments. Correctness is the default focus; performance and security can also be selected.
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Review game code for architecture, coding standards, testability, and performance concerns. Get findings tied to specific code, checks against recorded design decisions, and a report separating required fixes from optional improvements.
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Develop time-series and event-data solutions with TimescaleDB, an extension for PostgreSQL. The skill provides organized references for installation, time-based tables, ongoing aggregate calculations, compression, and performance troubleshooting.
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Get documentation-based help with PostgreSQL queries, database design, administration, and performance tuning. The supplied reference also explains connection settings and libpq, PostgreSQL’s C client library, for investigating connection failures and implementing connection handling.
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Review daily Google Ads and Meta Ads results for budget pacing, declining performance, and unusual activity. Get prioritized findings with supporting numbers and concrete recommendations for a marketing team to assess and carry out.
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Guides AI agents through repeated failures, passive behavior, and incomplete work using structured investigation, alternative approaches, and evidence from actual checks. It pairs these practices with forceful coaching modeled on corporate performance reviews.
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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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Evaluate a machine learning GPU cluster during a cloud trial or acceptance test. Measure GPU computing performance, communication within and between machines, and local and shared storage, then compile the results into a dated Markdown report.
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Plan and troubleshoot large language and vision model training and inference. This guide uses hardware measurements to identify bottlenecks, address memory shortages and unstable training, and improve checkpointing, recovery, and performance across multiple GPUs and machines.
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Provides guidance for managing Twitter/X content, including weekly plans, posts, threads, replies, and performance analysis. Includes API v2 examples and review queue templates to help organize publishing and maintain a consistent brand voice.
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Review Verdaccio code changes for security, package manager compatibility, performance, and maintainability. Verify concerns against surrounding code and relevant tests, then report actionable issues with their location, trigger, impact, and supporting evidence.
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Build and debug Shopify themes, custom apps, and storefronts connected through APIs. The skill covers Liquid templates, app authentication, checkout extensions, performance improvements, and the configuration, testing, and deployment steps needed for implementation.
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Investigate slow SQL, write complex joins and summaries, and design database structures. Uses execution plans, which show how queries run, to guide index choices and query rewrites, with before-and-after performance measurements.
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Build, debug, and refactor JavaScript applications for browsers and Node.js. Covers asynchronous tasks with async/await, module organization, performance checks, and test creation, with explicit error handling and modern ES2023+ syntax.
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Build React components, forms, and custom hooks with TypeScript. Organize state and data fetching, debug rendering problems, migrate class components, and improve performance, with type checks and component tests to validate the implementation.
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Add Sentry error reporting and performance monitoring to services, scheduled jobs, and database operations. Follow examples for capturing exceptions with useful context and measuring execution time through spans, which record individual operations for investigation.
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Apply ClawHub-specific rules when developing with Convex, including deployment targeting, runtime checks, data migrations, search performance, and skill statistics. It also directs specialized work to the appropriate companion skills.
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Plan a browser game's architecture before coding. Choose an engine, separate game rules from rendering, and define input, assets, menus, saves, debugging, and performance checks within a shared design.
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