Claude Skills by borghei

Audit Microsoft Excel (.xlsx) workbooks for sheet count, cell count, formula density, external references, named ranges, hidden sheets, and data validation rules. Use when reviewing a financial model, sharing a workbook externally, or when the user mentions xlsx audit, spreadsheet review, formula audit, or workbook leakage check.

This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".

Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation. Use when building AI agent systems, designing agent workflows, creating tool schemas, or evaluating agent performance.

Design and implement AI agent communication protocols including MCP tool schemas, Google A2A protocol, OpenAI function calling, structured inter-agent messaging, and protocol negotiation. Use when building multi-agent systems, defining tool interfaces, implementing agent-to-agent communication, or standardizing LLM tool calling patterns across platforms.

Design and implement multi-agent orchestration systems with workflow DAGs, agent routing, handoff protocols, state management, and cost optimization. Use when building AI pipelines with multiple specialized agents, designing fan-out/fan-in patterns, or implementing fault-tolerant agent workflows.

Multi-agent DAG orchestration framework. Design, execute, and manage workflows where multiple AI agents collaborate on complex tasks with dependency graphs. Covers agent spawning, output merging, quality evaluation, and real-time status boards. Use when a task requires multiple specialized agents working in concert, or when you need to parallelize AI work across sub-tasks.

This skill should be used when the user asks to "scan AI systems for security threats", "check for prompt injection vulnerabilities", "assess model security posture", "detect data poisoning risks", or "audit AI/ML pipeline security".

Reviews REST API designs for quality, consistency, and breaking changes. Lints OpenAPI specs, generates API scorecards, and detects breaking changes between versions. Use when designing APIs, reviewing API contracts, or managing API versioning.

Generate comprehensive API test suites from route definitions across frameworks. Covers auth testing, input validation, contract testing, load testing with k6, API mocking, and OpenAPI-driven test generation. Use when adding new APIs, auditing test coverage, or building regression suites.

Design AWS architectures for startups using serverless patterns and IaC templates. Use when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimization.

This skill should be used when the user asks to "build web automation scripts", "check browser automation for detection", "generate web scraping code", "create form filling automation", or "build anti-detection browser scripts".

Generate changelogs and release notes from Conventional Commits. Covers commit parsing, semantic version bump detection, Keep a Changelog formatting, monorepo scoped changelogs, CI integration, and commit message linting. Use when preparing releases, enforcing commit standards, or automating release notes.

Design and generate CI/CD pipelines from detected project stack signals. Covers GitHub Actions, GitLab CI, CircleCI, and Buildkite with caching, matrix builds, deployment strategies (blue-green, canary, rolling), environment gates, and security scanning. Use when bootstrapping CI, migrating pipelines, or optimizing build times.

Expert skill for Claude Code CLI -- CLAUDE.md optimization, skill authoring, subagent creation, hooks automation, and context engineering.

Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.

Analyze a codebase and generate comprehensive onboarding documentation including architecture overviews, key file maps, local setup guides, task runbooks, debugging guides, and contribution guidelines. Audience-aware output for junior, senior, or contractor developers. Use when onboarding new team members, open-sourcing, or documenting after a major refactor.

This skill should be used when the user asks to "set up Codex CLI", "convert skills for Codex", "write cross-platform AI skills", "configure agents/openai.yaml", "build skills index", "validate skill compatibility", "sync skills between Claude Code and Codex", or "optimize Codex CLI workflows". Use for OpenAI Codex CLI mastery, cross-platform skill authoring, skill conversion, and multi-agent compatibility patterns.

Context management engine for AI coding agents. Handles context window optimization, persistent memory across sessions, context retrieval strategies, token budget allocation, and knowledge graph construction from codebases. Use when building agent memory systems, optimizing context windows, designing RAG pipelines for code, or managing multi-session agent state.

Provides expert-level database design with schema analysis, index optimization, and migration generation. Supports PostgreSQL, MySQL, MongoDB, and DynamoDB. Use when designing schemas, optimizing queries, planning migrations, or analyzing database performance.

Design relational database schemas from requirements with normalization, migration planning, ERD generation, RLS policies, index strategies, and type generation. Supports PostgreSQL, MySQL, and SQLite with Drizzle, Prisma, and Alembic migrations. Use when designing new features, reviewing schemas, or adding multi-tenancy.

Scans project dependencies for vulnerabilities, license compliance issues, and upgrade opportunities across Python, Node.js, Go, and Rust. Use when auditing dependencies, checking licenses, planning upgrades, or assessing supply chain security.

Use when auditing UI/UX designs for quality, detecting AI-generated slop patterns, validating WCAG accessibility compliance, checking design system token adherence, or reviewing responsive design across breakpoints. Produces three independent grades (Design, AI Slop, Accessibility) with prioritized fix recommendations.

Use when designing GitHub Actions workflows, creating CI/CD pipelines, planning multi-environment deployments, optimizing pipeline cost and execution time, or implementing deployment strategies (blue-green, canary, rolling). Generates production-ready workflow YAML, analyzes existing pipelines for optimization, and creates deployment plans.

Detects documentation drift against code changes, scores staleness on a weighted 0-100 scale, validates API docs via AST parsing, and audits link integrity. Use when documentation falls out of sync with code, preparing releases, running CI doc gates, or auditing README/API doc accuracy.

This skill should be used when the user asks to "analyze a Dockerfile", "optimize Docker layers", "validate docker-compose", "check container best practices", or "audit Docker configurations".

Complete environment and secrets management lifecycle. Covers .env file scaffolding, validation scripts, secret leak detection in git history, credential rotation playbooks, and integration with HashiCorp Vault, AWS SSM, 1Password CLI, and Doppler. Use when setting up projects, scanning for leaked secrets, or rotating credentials after an incident.

This skill should be used when the user asks to "fix a bug with minimal changes", "analyze change scope for a bugfix", "find the minimal set of files to change", "do a focused bugfix", or "scope a minimal repair".

Manage parallel development with Git worktrees. Covers worktree creation with port allocation, environment sync, branch isolation for multi-agent workflows, cleanup automation, and Docker Compose integration. Use when working on multiple branches simultaneously, running parallel CI validations, or isolating agent workspaces.

This skill should be used when the user asks to "audit Google Workspace", "check GWS security settings", "set up Google Workspace authentication", "diagnose Workspace issues", or "review Google admin configurations".

This skill should be used when the user asks to "analyze Helm charts", "validate Helm values", "review chart structure", "check Kubernetes Helm templates", or "audit chart dependencies and configuration".

Use when handling production incidents, classifying severity, reconstructing timelines, writing postmortems, generating communication templates, or building incident response playbooks. Provides automated severity scoring, RCA frameworks (5 Whys, Fishbone, Bow Tie), and structured PIR generation.

Designs calibrated interview loops, competency-based question banks, and hiring calibration systems. Use when designing interview processes, creating hiring pipelines, generating scoring rubrics, analyzing interviewer bias, or building question banks for engineering, product, or design roles.

This skill should be used when the user asks to "estimate LLM costs", "count tokens in prompts", "optimize prompt token usage", "compare model pricing", or "reduce LLM API costs".

Build production-ready MCP (Model Context Protocol) servers with tool definitions, resource providers, prompt templates, and transport configuration. Covers OpenAPI-to-MCP conversion, TypeScript and Python implementations, testing strategies, authentication, and deployment. Use when exposing APIs to AI agents, building tool servers, or creating MCP integrations.

Plans zero-downtime migrations with compatibility validation, rollback strategies, and phased execution plans. Use when migrating databases, APIs, infrastructure, or services between platforms or versions.

Navigate, manage, and optimize monorepos with Turborepo, Nx, pnpm workspaces, and Changesets. Covers cross-package impact analysis, selective builds, dependency graph visualization, remote caching, migration from multi-repo, and coordinated publishing. Use when working in monorepos, optimizing build times, or managing shared packages.

Microsoft 365 tenant administration for Global Administrators. Automate M365 tenant setup, Office 365 admin tasks, Azure AD user management, Exchange Online configuration, Teams administration, and security policies. Generate PowerShell scripts for bulk operations, Conditional Access policies, license management, and compliance reporting. Use for M365 tenant manager, Office 365 admin, Azure AD users, Global Administrator, tenant configuration, or Microsoft 365 automation.

Designs comprehensive observability strategies including SLI/SLO frameworks, alerting optimization, and dashboard generation. Use when implementing monitoring for a production service, creating or tuning alert rules, designing Grafana dashboards, defining SLOs and error budgets, or reducing alert fatigue in on-call rotations.

Systematic performance profiling for Node.js, Python, and Go applications. Covers CPU flamegraphs, memory leak detection, bundle analysis, database query optimization, N+1 detection, load testing with k6, and before/after measurement methodology. Use when diagnosing slow endpoints, memory growth, large bundles, or preparing for traffic spikes.

Production-grade end-to-end testing with Playwright. Covers test generation from user stories, page object patterns, locator strategy, flaky test diagnosis, Cypress/Selenium migration, CI integration, visual regression testing, and accessibility auditing. Use when writing E2E tests, fixing flaky tests, or migrating from Cypress/Selenium.

Systematic PR review with blast radius analysis, security scanning, breaking change detection, test coverage delta, and performance impact assessment. Produces prioritized findings with a 35+ item checklist. Use when reviewing PRs that touch shared libraries, APIs, database schemas, auth, or security-sensitive code.

Production prompt engineering frameworks for building, testing, versioning, and evaluating prompts. Covers chain-of-thought, few-shot design, system prompt architecture, prompt regression testing, and evaluation rubrics. Use when designing prompts for production systems, running A/B tests on prompts, building prompt libraries, or debugging prompt quality degradation.