Design automation for sales and marketing workflows, including lead scoring, routing, CRM updates, and AI agent tasks. The skill helps choose platforms, organize shared customer context, and define monitoring and feedback loops around team needs and budget.
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Choose metrics for AI product revenue, sales efficiency, retention, and computing costs. Plan dashboards and weekly reviews, assess customer data quality, and decide how to credit marketing and sales interactions for completed deals.
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Plan personalized video outreach for prospective customers, from useful sample deliverables and short scripts to tool selection and follow-up sequences. Use viewing data to guide next steps and design product demos prospects can watch independently.
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Measure website performance with Lighthouse, interpret scores and reports, and compare results across builds. Set limits for loading times and resource sizes, then integrate audits into CI, an automated workflow that checks code changes.
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Write, review, and refactor React and Next.js code using performance guidelines from Vercel Engineering. Prioritize improvements to data fetching, downloaded code size, server processing, and unnecessary rendering, with rule files providing explanations and code examples.
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Improve how search engines discover and understand a website by reviewing titles, descriptions, links, and sitemaps. Add structured data, machine-readable descriptions of page content, and use checklists to identify technical and on-page SEO issues.
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Analyze git history to map contributors to security-sensitive files and identify ownership gaps. Estimate bus factor, a measure of dependence on few people, group files that change together, and export CSV or JSON for further analysis.
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Explore and configure an Nx monorepo, where multiple projects share one repository. Inspect resolved project settings, identify projects affected by changes, and improve project boundaries, build caching, and CI/CD pipelines.
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Review a pull request using repository checks, verified code references, and current official documentation. Assess correctness, security, structure, and unnecessary code, then post one consolidated GitHub review with inline findings and an evidence-based verdict.
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Review Python, JavaScript/TypeScript, and Go code against security guidance for the languages and frameworks in use. Identify important weaknesses, suggest improvements, and produce prioritized reports with code references, or apply secure defaults when writing new code.
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Investigate failing GitHub Actions checks on a pull request using the GitHub CLI. The skill gathers logs, summarizes failures, and proposes a fix plan, then implements changes only after explicit approval and reports changes and tests.
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Design workflows for completing business lead records, verifying contact details, and ranking prospects against an ideal customer profile. Plan provider sequences in Clay, scoring rules, and data quality checks around lead volume, existing tools, and budget.
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Improve Astro site loading with critical CSS, the styles needed for the first screen, plus file compression, font loading adjustments, main image preloading, and deferred third-party scripts. Includes integration settings and a layout example.
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Review website code across performance, accessibility, search engine optimization, and web best practices. Receive findings ranked by severity, explanations of their impact, concrete fixes with code examples, and a recommended order for addressing them.
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Choose a sales approach based on product price, complexity, and buyer needs. This skill helps plan self-service trials, human sales involvement, and experiences that let prospects recognize value before purchasing.
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Review web code for security, browser compatibility, and code quality. Covers HTTPS, dependency vulnerabilities, security headers, outdated APIs, HTML structure, error handling, and cleanup of event listeners, with examples and audit checklists to guide improvements.
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Design processes to retain customers and grow revenue from existing accounts. Use product activity and customer relationships to define risk signals, upgrade opportunities, onboarding steps, renewal schedules, and follow-up plans for previously lost sales opportunities.
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Turn AI-assisted coding work into optional, short learning exercises. Predict behavior, compare your approach with the implementation, or explain code in your own words, with feedback that helps clarify how the code works and why design choices were made.
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Plan customer acquisition as a solo founder, from choosing tools and sales channels to assigning work to AI agents. Organize priorities by revenue stage, divide time between building and selling, and assess when hiring makes sense.
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Create applications, libraries, and feature scaffolding with Nx generators, tools that produce starter code. It discovers suitable generators, prefers workspace-specific options, checks their behavior, and adjusts and verifies the generated files against existing project conventions.
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Refactor React components that have too many true-or-false settings into reusable, flexible parts. This skill guides component composition, shared state, and API design, with examples and separate guidance for React 19 features.
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Evaluate code against a product requirements document, scoring implementation and tests separately for each acceptance criterion. Produce an evidence-backed final grade, identify gaps, and compare implementations using a fixed checklist and scoring method.
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Create an evidence-based plan for modernizing an existing system. Analyze code and dependencies, research technology choices, and produce domain-specific migration plans with testing, rollback steps, and a consolidated roadmap for developers to execute.
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Deploy applications to Render by inspecting the code and preparing service settings. Generate a render.yaml configuration or create services through MCP, an agent tool connection, then check deployment status, logs, and basic service health.
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