qdhenry

Prevent feature creep when building software, apps, and AI-powered products. Use this skill when planning features, reviewing scope, building MVPs, managing backlogs, or when a user says "just one more feature." Helps developers and AI agents stay focused, ship faster, and avoid bloated products.

General development best practices and common gotchas when working on Biome. Use for avoiding common mistakes, understanding Biome-specific patterns (AST, syntax nodes, string extraction, embedded languages), and learning technical tips.

Guide for creating and writing proper changesets for Biome PRs. Use when a PR introduces user-visible changes (bug fixes, new features, rule changes, formatter changes, parser changes) that need a changeset entry for the CHANGELOG. Trigger when creating changesets, writing changeset descriptions, or choosing the correct change type.

Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration

Guidelines for building production-ready Convex apps covering function organization, query patterns, validation, TypeScript usage, error handling, and the Zen of Convex design philosophy

How to create, structure, and publish self-contained Convex components with proper isolation, exports, and dependency management

Scheduled function patterns for background tasks including interval scheduling, cron expressions, job monitoring, retry strategies, and best practices for long-running tasks

Complete file handling including upload flows, serving files via URL, storing generated files from actions, deletion, and accessing file metadata from system tables

Post-gap-analysis elicitation agent. Consolidates all open questions, unvalidated assumptions, low-confidence features, and validator findings from across the pipeline into a prioritized, stakeholder-mapped client Q&A document and meeting preparation guide.

Generate a gap analysis document structured as Confluence-compatible tables with Jira-style formatting. Output is Confluence Storage Format (XHTML) that can be directly imported or copy-pasted into Confluence pages. Accepts company/client name as an argument.

Analyze the current platform's data model and design the Salesforce B2B Commerce object schema, including standard and custom objects, relationships, and data migration strategy.

Remove near-duplicate frames from a video extraction directory using perceptual hashing (dhash). Runs after frame extraction and before frame analysis to reduce context window usage by eliminating visually identical frames. Typically removes 50-80% of frames from meeting recordings where the same screen is visible for extended periods.

Analyze a chunk of video frames from a client meeting screencast. Identify and categorize every UI component, form field, data structure, navigation element, and on-screen text visible. Designed for parallel deployment — multiple instances process different frame ranges simultaneously.

Merge and deduplicate parallel frame analysis outputs into a single comprehensive UI component inventory and system architecture map. Produces the definitive screen catalog that feeds UI migration, data schema, and gap analysis agents.

Produce client-specific gap analysis documents comparing current platform capabilities against Salesforce B2B Commerce target state. Focus on the client's actual use cases rather than exhaustive platform feature lists.

Assess current platform integrations and API dependencies, then architect the Salesforce B2B Commerce integration layer including ERP, fulfillment, external vendor, and reporting connections.

Analyze environment variables in JavaScript/TypeScript projects. Identifies unused variables, infers permission scopes, detects specific services (Stripe, AWS, Supabase), and documents code paths. Includes optional cleanup of unused variables with regression detection. Use when auditing .env files, reviewing security, or documenting project configuration.

BigCommerce API expert for building integrations, apps, headless storefronts, and automations. Full lifecycle - REST APIs, GraphQL Storefront, webhooks, authentication, app development, and multi-storefront. Use when working with BigCommerce platform APIs.

Transcribes audio/video files using ElevenLabs Scribe v2 API. Use when transcribing audio files, generating transcripts, or converting speech to text.

Extracts frames and timestamped audio segments from video files (GIF, MP4, MOV) at configurable intervals and stores them in a directory with a manifest file. Use when analyzing video content, preparing frames for visual review, extracting audio for transcription, or creating frame+audio sequences for another agent to process.

Chokidar-based file watcher that triggers `claude -p` on changes. Useful for automated AI reactions to file changes — design sync, code validation, config regeneration, etc.

Safely identifies and removes dead code in TypeScript/JavaScript projects using multi-agent analysis with automatic backup branches. Use when cleaning up unused exports, orphaned files, dead imports, unreachable functions, or unused dependencies.

Configure agent-tail log aggregation for the current project. Auto-detects framework (Vite, Next.js, plain Node, monorepo) and sets up CLI runner, browser log plugins, and output destinations. Use when setting up agent-tail, configuring dev server logging, or piping logs for AI agent consumption.

Sets up Portless for a project to replace port numbers with stable named .localhost URLs. Use when configuring local development routing, fixing port conflicts, or setting up monorepo dev environments.

Implement WebMCP in web projects — add browser-native structured tools for AI agents using imperative JS or declarative HTML APIs. Full lifecycle from setup through testing and optimization.