productivity-hooks

Use PROACTIVELY when user asks for accessibility review, a11y audit, WCAG compliance check, screen reader testing, keyboard navigation validation, or color contrast analysis. Audits React/TypeScript applications for WCAG 2.2 Level AA compliance with risk-based severity scoring. Includes MUI framework awareness to avoid false positives. Not for runtime accessibility testing in production, automated remediation, or non-React frameworks.

Use PROACTIVELY when user asks for ASCII diagrams, text diagrams, or visual representations of systems, workflows, or relationships. Triggers on "ascii diagram", "text diagram", "visualize", "show how X connects/synergizes", "diagram the flow/phases", or "illustrate relationships". Generates terminal-compatible diagrams using box-drawing characters. Supports architecture, before/after, phased migration, data flow, and relationship/synergy diagrams. Not for image generation or graphical output.

Use PROACTIVELY when creating research reports, experiment writeups, technical whitepapers, or empirical study documentation. Orchestrates the complete benchmark report pipeline with structure, diagrams, hi-res PNG capture, and PDF export. Provides working scripts, CSS templates, and complete command sequences for publication-quality AI/ML benchmark reports. Not for slides, blog posts, or simple README files.

Use PROACTIVELY when users ask about React project structure, Bulletproof React patterns, or need architecture guidance. Covers structure setup, codebase auditing, anti-pattern detection, and feature-based migration planning. Triggers on "bulletproof react", "React structure help", "organize React app", or "audit my architecture".

Use PROACTIVELY when searching past Claude Code conversations, analyzing development patterns, or generating activity reports. Automatically processes conversation history from the project, enables RAG-powered semantic search, and generates insight reports with pattern detection. Provides optional dashboard for visualization. Not for real-time analysis or cross-project searches.

Use PROACTIVELY when reviewing CLAUDE.md configurations, onboarding new projects, or before committing memory file changes. Validates against official Anthropic documentation, community best practices, and LLM context optimization research. Detects security violations, anti-patterns, and compliance issues. Not for runtime behavior testing or imported file validation.

Use PROACTIVELY when auditing code quality, running security scans, assessing technical debt, reviewing code for production readiness, setting up CI quality gates, or tracking DORA metrics. Analyzes codebases against OWASP Top 10, SOLID principles, Testing Trophy, and 2024-25 SDLC standards. Supports incremental audits for large codebases. Not for runtime profiling or real-time monitoring.

Use PROACTIVELY when setting up end-to-end testing, debugging UI issues, creating visual regression suites, or automating browser testing. Uses Playwright with LLM-powered visual analysis, screenshot capture, and fix recommendations. Zero-setup for React, Next.js, Vue, Node.js, and static sites. Not for unit testing, API-only testing, or mobile native apps.

Use PROACTIVELY when working on multiple branches simultaneously or creating parallel Claude Code sessions. Automates git worktree creation with prerequisite checking, development environment initialization, and safe cleanup. Supports single worktree, batch creation, and worktree removal. Not for non-git projects or branch management without worktrees.

Use PROACTIVELY when user needs to create a new GitHub repository or set up a project with best practices. Automates repository creation with four modes - quick public repos (~30s), enterprise-grade with security and CI/CD (~120s), open-source community standards (~90s), and private team collaboration with governance (~90s). Not for existing repo configuration or GitHub Actions workflow debugging.

Use PROACTIVELY when working with projects that have docs/lessons-learned/ directories to transform Claude Code explanatory insights into reusable, production-ready skills. Analyzes insight files, clusters related content, and generates interactive skills following Anthropic's standards.

Use PROACTIVELY when developing Claude Code hooks to implement content-based deduplication and prevent duplicate insight storage across sessions

Use PROACTIVELY when extracting structured data from text/images, classifying content, or formatting API responses with guaranteed schema compliance. Implements Anthropic's JSON outputs mode with Pydantic/Zod SDK integration. Covers schema design, validation, testing, and production optimization. Not for tool parameter validation or agentic workflows (use strict-tool-implementer instead).

Use PROACTIVELY when creating Model Context Protocol servers for connecting AI applications to external data sources, tools, and workflows. Generates production-ready MCP servers with TypeScript/Python SDKs, configuration templates, and Claude Desktop integration. Includes testing workflow with MCP Inspector. Not for modifying existing MCP servers or non-MCP integrations.

Use PROACTIVELY when checking if tests catch real bugs, assessing test suite quality, finding weak tests, or measuring mutation score. Validates test effectiveness beyond coverage metrics by introducing code mutations. Supports Stryker (JS/TS), PIT (Java), mutmut (Python). Not for projects without existing test suites.

Use PROACTIVELY when setting up OpenTelemetry monitoring for Claude Code usage tracking, cost analysis, or productivity metrics. Provides local PoC mode (full Docker stack with Grafana) and enterprise mode (centralized infrastructure). Configures telemetry collection, imports dashboards, and verifies data flow. Not for non-Claude telemetry or custom metric definitions.

Use PROACTIVELY when creating new React projects requiring modern tooling and best practices. Provides three modes - sandbox (Vite + React for quick experiments), enterprise (Next.js with testing and CI/CD), and mobile (Expo + React Native). Enforces TypeScript strict mode, Testing Trophy approach, and 80% coverage. Not for non-React projects or modifying existing applications.

Use PROACTIVELY when creating releases after PR merges to main, or when user asks about versioning strategy. Automated git tagging agent that analyzes repository state, parses conventional commits, calculates semantic versions, and creates annotated git tags with GitHub releases. Supports monorepo namespaced tags with @ separator convention. Not for changelog generation or pre-release/alpha versioning.

Use PROACTIVELY when creating new Claude Code skills from scratch. Automated generation tool following Claudex marketplace standards with intelligent templates, pattern detection, and quality validation. Supports guided creation, quick start templates, clone-and-modify, and validation-only modes. Not for modifying existing skills or non-skill Claude Code configurations.

Use PROACTIVELY when validating Claude Code skills before sharing or public release. Automated testing framework using multiple isolation environments (git worktree, Docker containers, VMs) to catch environment-specific bugs, hidden dependencies, and cleanup issues. Includes production-ready test templates and risk-based mode auto-detection. Not for functional testing of skill logic or non-skill code.

Use PROACTIVELY when building multi-step agentic workflows with validated tool parameters. Implements Anthropic's strict tool use mode for guaranteed schema compliance. Covers tool schema design, multi-tool agent workflows, error handling, testing, and production patterns. Not for data extraction or classification tasks (use json-outputs-implementer instead).

Use PROACTIVELY when users need guaranteed schema compliance or validated tool inputs from Anthropic's structured outputs feature. Expert advisor for choosing between JSON outputs (data extraction/formatting) and strict tool use (agentic workflows). Analyzes requirements, explains trade-offs, and delegates to specialized implementation skills. Not for simple text responses or unstructured outputs.

Use PROACTIVELY when creating specialized Claude Code sub-agents for task delegation. Automates agent creation following Anthropic's official patterns with proper frontmatter, tool configuration, and system prompts. Generates domain-specific agents, proactive auto-triggering agents, and security-sensitive agents with limited tools. Not for modifying existing agents or general prompt engineering.

Use PROACTIVELY when enforcing TDD red-green-refactor, setting up test infrastructure, configuring coverage gates, or implementing the Testing Trophy model. Installs git hooks, npm scripts, and CLAUDE.md configuration to enforce test-first development. Supports coverage thresholds and test distribution analysis. Not for prototypes or projects without test requirements.