AI Coding Skills for Go

Product marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Use when the user asks about product positioning, go-to-market planning, competitive analysis, target audience definition, ICP definition, market research, launch plans, or sales enablement. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry. Produces deliverables including positioning statements, battlecard documents, launch plans, and go-to-market strategies.

When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' 'product update,' 'GTM plan,' 'launch checklist,' or 'launch momentum.' This skill covers phased launches, channel strategy, and ongoing launch momentum.

Turns marketing prompts into tested, versioned production assets: A/B prompt evaluation against structured test cases, immutable prompt version history with diffs, ready-to-use marketing prompt templates (ad copy, email campaigns, social posts, landing pages, SEO meta), and an LLM-governance playbook for marketing teams (claim discipline, disclosure rules, human-review gates). Use when a marketing team relies on AI-generated content and needs prompt quality to be measurable and safe — or when the user mentions 'prompt engineering,' 'improve my prompts,' 'prompt templates,' 'prompt versioning,' 'AI content workflow,' or 'AI governance for marketing.'

Expert guidance for integrating and building applications with shadcn/ui components, including component discovery, installation, customization, and best practices.

Develop, test, build, and deploy Godot 4.x games. Includes GdUnit4 for GDScript unit tests and PlayGodot for game automation and E2E testing. Supports web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.

Audit structural debt, logic leakage, and monolithic components across Web, Mobile, and Backend codebases. Use when reviewing architecture, assessing tech debt, detecting logic in wrong layers, or identifying God classes. (triggers: package.json, pubspec.yaml, go.mod, pom.xml, nest-cli.json, architecture audit, code review, tech debt, logic leakage, refactor)

Guides the usage of Gemini API on Google Cloud Vertex AI with the Gen AI SDK. Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.

Generate integration tests for APIs, databases, and external services. Auto-detects backend stack (Express, Fastify, NestJS, Django, FastAPI, Rails, Go), ORM (Prisma, TypeORM, SQLAlchemy, GORM), and database (PostgreSQL, MongoDB, Firestore), then creates tests covering endpoint CRUD, auth flows, DB transactions, and external service failures with proper fixtures and mocks. Self-heals failing tests up to 3 iterations. Use when you need to test API endpoints end-to-end, verify database operations, test service interactions, or validate auth and error handling.

Review game code architecture for component coupling, ECS vs OOP design, update loop organization (deltaTime, fixed timestep, frame budget), state machine quality (boolean soup, string states), save/load serialization (versioning, migration, corruption handling), input handling (action-based abstraction, buffering, remapping), and anti-patterns (god objects, find-in-update, tight loop allocation, missing object pooling, magic numbers). Supports Unity, Unreal, Godot, Phaser, and custom engines. Use when auditing game project code quality, architecture, or performance patterns.

Retrieve real-time stock quotes using Octagon MCP. Use when you need current price, day range, 52-week range, volume, market cap, and moving averages for any publicly traded stock.

Retrieve real-time income statement data including Revenue, Net Income, and EPS Diluted for public companies. Use when analyzing absolute financial figures, historical earnings, or comparing company scale across fiscal periods.

Review amendments to SEC filings using Octagon MCP. Use when tracking material changes, corrections, restatements, and updates to previously filed documents including 10-K/A, 10-Q/A, 8-K/A, S-1/A, and Form 144/A filings.

Analyze business segment performance and reporting from SEC filings using Octagon MCP. Use when researching segment revenue, operating income, margins, geographic breakdown, and segment restructuring from 10-K and 10-Q filings.

Retrieve comprehensive year-over-year growth in key financial metrics including Revenue, Gross Profit, Operating Income, Net Income, EPS, and Free Cash Flow. Use when analyzing overall company financial performance trends across income statement and cash flow.

Comprehensive earnings call analyst skill that orchestrates all Octagon earnings analysis skills. Use when analyzing earnings calls, extracting management insights, tracking guidance, and creating earnings-focused research reports.

Full product lifecycle from customer discovery through delivery. Market analysis, positioning, lean canvas, PRD, technical spec, implementation review, launch readiness, and go-to-market plan.

Generate a production-ready command-line tool -- scaffold a complete CLI application with subcommand parsing, interactive prompts with validation, colored and structured output (tables, spinners, progress bars), JSON output mode for scripting, XDG-compliant config management, custom error types with exit codes, and distribution setup for publishing. Supports Node.js (Commander.js, Inquirer, chalk, ora), Python (Typer, Rich, httpx, Pydantic), Go (Cobra, Bubble Tea, Lip Gloss, Viper, goreleaser), and Rust (clap derive, dialoguer, console, comfy-table). Build a CLI, create command-line app, generate terminal tool, scaffold CLI utility, new CLI project.

Extract and summarize risk factors from SEC filings using Octagon MCP. Use when analyzing Item 1A risk disclosures, categorizing business risks, identifying new or material risks, and comparing risk profiles across companies or time periods.