kienhaminh

Use when building UI, branding, design systems, or auditing accessibility/UX.

Use when building production-grade GenAI, Agentic Systems, Advanced RAG, or setting up rigorous Evaluation pipelines.

Use when designing APIs, Architecture, Security, or Scalability for Node, Python, Go, or Java backend systems.

Use when architecturalizing protocols, developing smart contracts, or auditing security for blockchain systems.

Use for deep requirements analysis, technical specifications, agile documentation, or architecture/design reviews.

Use when designing Universal CI/CD, Multi-Cloud Infrastructure, or Observability systems.

Use when implementing frontend code, optimizing performance, or ensuring strict adherence to documentation/references.

Use for high-stakes technical decisions, system design (Microservices/Monolith), cloud infrastructure, or generating ADRs/RFCs.

Bootstrap software repositories from live evidence. Use for initial setup, inherited-codebase rehabilitation, repository mapping, conventions, documentation architecture, safe restructuring, or agent-ready tooling.

Solve ambiguous, high-stakes, or multi-variable questions with a labelled problem tree. Use for open-ended life, business, product, strategy, and root-cause reasoning; route concrete feature briefs to $grill-me and specific failures to $debugging.

Diagnose software failures through evidence-based root-cause analysis. Use for bugs, failing tests, runtime errors, data anomalies, stuck jobs, environment failures, and intermittent or expensive-to-reproduce incidents.

Create, edit, and run persistent Codex workflow graphs with optional GitHub delivery.

Turn a rough software feature request into one codebase-grounded implementation brief. Use for feature pitches, vague product requirements, solution exploration, or explicit “grill me” requests before coding; use $brainstorming for non-implementation questions.

Implement an agreed story, plan, or failing-test target and prove the resulting behavior. Use when an accepted contract authorizes production changes; route diagnosis-only work to $debugging and test design to $tdd.

Land finished work in a Git repository through Gate, Record, Commit, and Publish. Use when the user asks to close completed work, commit and push it, or open a pull request; use repository review workflows for reviewing an existing PR.

Slice an agreed plan into an epic and behavior-focused stories with observable acceptance criteria, reconciled against repository-owned domain rules.

Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging.

Guide for implementing Cloudflare Browser Rendering - a headless browser automation API for screenshots, PDFs, web scraping, and testing. Use when automating browsers, taking screenshots, generating PDFs, scraping dynamic content, extracting structured data, or testing web applications. Supports REST API, Workers Bindings (Puppeteer/Playwright), MCP servers, and AI-powered automation. (project)

Guide for implementing Cloudflare R2 - S3-compatible object storage with zero egress fees. Use when implementing file storage, uploads/downloads, data migration to/from R2, configuring buckets, integrating with Workers, or working with R2 APIs and SDKs.

Guide for building applications on Cloudflare's edge platform. Use when implementing serverless functions (Workers), edge databases (D1), storage (R2, KV), real-time apps (Durable Objects), AI features (Workers AI, AI Gateway), static sites (Pages), or any edge computing solutions.

Comprehensive guide for building serverless applications with Cloudflare Workers. Use when developing Workers, configuring bindings, implementing runtime APIs, testing Workers, using Wrangler CLI, deploying to production, or building edge functions with JavaScript/TypeScript/Python/Rust.

Guide for implementing Google Gemini API audio capabilities - analyze audio with transcription, summarization, and understanding (up to 9.5 hours), plus generate speech with controllable TTS. Use when processing audio files, creating transcripts, analyzing speech/music/sounds, or generating natural speech from text.

Guide for implementing Google Gemini API document processing - analyze PDFs with native vision to extract text, images, diagrams, charts, and tables. Use when processing documents, extracting structured data, summarizing PDFs, answering questions about document content, or converting documents to structured formats. (project)

Guide for implementing Google Gemini API image generation - create high-quality images from text prompts using gemini-2.5-flash-image model. Use when generating images, creating visual content, or implementing text-to-image features. Supports text-to-image, image editing, multi-image composition, and iterative refinement.

Use the rushdino CLI via shell_exec to manage sessions, cron jobs, and workflows. Use this skill whenever you need to spawn sessions, schedule work, or inspect workflow runs.

Guide the agent to generate images using the image tool. Use this skill whenever the user asks to generate, create, draw, illustrate, or produce an image, picture, photo, artwork, icon, or visual. Trigger even when the user says things like "make me a background", "can you draw...", or "I need a picture of...".

Use the rushdino CLI to manage RushDino system operations. Covers session management, sending messages to agents, triggering workflows, viewing the kanban board, posting or updating tasks, and approving pending requests. Use when you need to interact with the RushDino system programmatically rather than through tool calls.