rocket-path-ai

OpenClaw Gateway setup, configuration, and best practices. Use when installing OpenClaw, configuring channels (WhatsApp/Telegram/Discord), setting up providers (OpenAI/Google/Anthropic), creating skills, managing the gateway daemon, or troubleshooting OpenClaw issues. Triggers on: openclaw, gateway, whatsapp channel, telegram bot, openclaw skill, openclaw config, openclaw install, openclaw cron, openclaw security.

Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations, help choosing the latest model for a use case, or explicit GPT-5.4 upgrade and prompt-upgrade guidance; prioritize OpenAI docs MCP tools, use bundled references only as helper context, and restrict any fallback browsing to official OpenAI domains.

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning. **This project:** We use OpenAI text-embedding-3-small (1536) and store as vector(1536) in knowledge_chunks. halfvec is an optional future optimization; apply this skill's tuning (ef_search, iterative_scan

Supabase pgvector setup, RAG pipeline, and vector search for StartupAI. Covers knowledge_chunks schema, HNSW/IVFFlat indexes, search_knowledge + hybrid_search_knowledge RPCs, embedding generation via OpenAI, Edge Function integration, and Gemini web search grounding. **Trigger when user asks to:** - Set up or modify vector search, embeddings, or knowledge base - Ingest documents into knowledge_chunks - Debug search quality or missing results - Tune HNSW parameters or search performance - Wire RAG into edge functions or AI chat - Use Google Search grounding or URL Context with Gemini **This project:** OpenAI text-embedding-3-small (1536 dims), stored in knowledge_chunks, HNSW index, search via search_knowledge() and hybrid_search_knowledge() RPCs.

pgvector - PostgreSQL extension for vector similarity search. Use for embedding storage, cosine similarity, IVFFlat indexes, and HNSW indexes.

Channel the strategic thinking of fastest-growing AI startup founders. Use when asked to analyze current state, brainstorm strategy, set OKRs, or create execution plans. Provides founder personas, strategic frameworks, and battle-tested patterns from Anthropic, OpenAI, Mistral, Scale AI, and others.

Validate startup ideas using Hexa's Opportunity Memo framework and Perceived Created Value (PCV) methodology. Assess problem-solution fit, market opportunity, and determine if an idea is worth pursuing.

Build investor-ready pitch scripts in multiple formats (10-min, 5-min, 2-min, 1-min elevator, investor email). Produces pitch narratives, Q&A preparation, pitch scoring rubric, and optional investor roleplay practice. Use when the user wants to create a pitch, prepare for investor meetings, craft a startup pitch, write a fundraising narrative, or practice their pitch. Triggers for "pitch deck", "investor pitch", "pitch my startup", "fundraising deck", "seed deck", "how to pitch", "investor meeting", "demo day", "prepare pitch", "pitch script", "elevator pitch for investors", "pitch practice", "practice my pitch", "investor roleplay", or any request to present a startup to investors, accelerators, or partners. Works standalone — no prior startup-design session needed, but leverages its output if available.

Market positioning strategy using the April Dunford framework, enriched with JTBD discovery, Moore positioning statement, and Neumeier's Onliness Test. Produces a complete positioning document, positioning statement, competitive alternatives map, and market category analysis. Use when the user wants to define or refine their market positioning, find their unique position, differentiate from competitors, craft a positioning statement, choose a market category, or figure out "how should we position this product." Triggers for "positioning", "how to position", "market position", "differentiation strategy", "positioning statement", "competitive positioning", "category strategy", "where do we fit in the market", "how are we different", "unique value proposition", or any request to define, sharpen, or rethink positioning. Works standalone — no prior startup-design or startup-competitors session needed, but leverages their output if available.

Expert startup strategy council with 6 advisors (Thiel, Graham, Ries, Andreessen, Lavingia, Dunford) for validation, PMF, business models, positioning, and growth.

Find and validate startup ideas by mining user complaints, crafting premises, and navigating the idea maze. Use when discovering product opportunities, validating ideas, shaping solutions, researching user pain points, or exploring what to build.

pgvector - PostgreSQL extension for vector similarity search. Use for embedding storage, cosine similarity, IVFFlat indexes, and HNSW indexes. For this project prefer pgvector-setup (Supabase + OpenAI embeddings) and pgvector-semantic-search (tuning); use this skill for low-level API reference only.

Use when integrating Gemini AI models in Supabase Edge Functions or Deno. Covers Gemini 3 models (Pro, Flash, Pro-Image), thinking levels, URL Context, Google Search grounding, structured output, thought signatures, function calling, image generation, document processing, deep search, error handling, and REST API patterns. Use for AI enrichment, data extraction, analysis tasks, and image generation.

Use this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go), model selection, and API capabilities.

Process and manipulate images using ImageMagick. Supports resizing, format conversion, batch processing, and retrieving image metadata. Use when working with images, creating thumbnails, resizing wallpapers, or performing batch image operations.

Design smooth UI animations and interactions using Framer Motion for React/Next.js. Use when users request animations, transitions, hover effects, scroll animations, gesture interactions, or need help implementing Framer Motion. Follow modern motion UX principles with purposeful, performant animations that enhance usability.

Use when generating images that need professional, corporate, or editorial aesthetics with neutral natural colors — not neon, not sci-fi, not oversaturated. Triggers on "normal colors", "professional", "corporate style", "BCG style", "consulting look", "editorial photography", "too green", "too dark", "neutral palette", "natural colors", "Superside style", "clean modern imagery".

Generate commercial AI images with Nano Banana 2 via WaveSpeed.ai for landing pages, marketing, and product assets. Use when building hero backgrounds, product shots, lifestyle imagery, abstract visuals, or icon sets. Includes 12 image presets across 5 categories (hero backgrounds, product shots, lifestyle, abstract/texture, icons/UI), an HTML asset scanner for detecting image slots, trend-driven prompt enrichment via web search, and CLI generation commands with a gallery UI.

Generate or edit images using Google Gemini API via nanobanana. Use when the user asks to create, generate, edit images with nanobanana, or mentions image generation/editing tasks.

Diagnoses and fixes Aptos Move compilation, runtime, and deployment errors. Triggers on: 'error', 'fix this', 'debug', 'troubleshoot', 'why is this failing', error codes like 'EOBJECT_DOES_NOT_EXIST', 'ABORTED', 'RESOURCE_NOT_FOUND', 'Type mismatch', 'ability constraint'.

Generates custom design system rules for the user's codebase. Use when user says "create design system rules", "generate rules for my project", "set up design rules", "customize design system guidelines", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.

Generate collaborative diagrams in FigJam using Mermaid.js via the Figma MCP. Use when user wants to create flowcharts, decision trees, Gantt charts, sequence diagrams, or state diagrams in FigJam. Triggers on "create a diagram", "make a flowchart", "generate a decision tree", "Gantt chart", "sequence diagram", "state diagram", "FigJam diagram", "visualize this process", "map this workflow", or any request to diagram architecture, processes, user flows, or project timelines. Requires Figma MCP server connection.

Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), gantt charts (project timelines, sprints, milestones), kanban diagrams (workflow stages, task boards), user journey diagrams, state diagrams, git graphs, pie charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.

Use this skill when users need to scope an MVP, define minimum viable features, plan early product development, or determine what to build first. Activates for "what should my MVP include," "scope my MVP," "what to build first," or product scoping questions.

Use this skill when building AI chat features - context-aware routing, multi-agent orchestration, startup advisor responses, and integrated chatbot UI. Triggers on "AI chat", "chatbot", "Atlas", "chat interface", "agent routing", "conversational AI".

Use this skill when building or executing AI prompt packs - multi-step prompt workflows, templated prompts, and structured AI outputs. Triggers on "prompt pack", "prompt template", "AI workflow", "structured prompts", "prompt steps".

Create and setup Claude Agent SDK applications in TypeScript or Python. Use when the user wants to build custom agents, create new SDK projects, or set up agent development environments. Triggers on requests like "create an agent", "build an SDK app", "new agent project".

Use this skill when building pitch deck features - slide generation, industry-specific templates, investor psychology, deck review/critique, and presentation export. Triggers on "pitch deck", "investor presentation", "slide deck", "pitch slides", "deck review", "investor pitch".

Use this skill when building or executing startup playbooks - industry-specific workflows, stage-aware guidance, and automated founder journeys. Triggers on "playbook", "industry workflow", "stage-specific", "founder journey", "onboarding flow", "validation flow".

Use when creating tables, adding columns, writing RLS policies, creating database functions, or seeding data. Triggers on "migration", "new table", "schema", "RLS policy", "database function", "seed", "alter table".

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

Use when implementing Supabase Realtime features - broadcast, presence, or database change subscriptions. Includes private channel setup, RLS policies, and migration patterns.

Alias for database-migration. Use when creating tables, adding columns, writing RLS policies, creating database functions, or seeding data. Triggers on "migration", "new table", "schema", "RLS policy", "database function", "seed", "alter table", "supabase".

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Guide high-fidelity prototyping workflows for production-ready UI/UX design. Use when the user needs to create detailed interactive prototypes, pixel-perfect mockups, design-system-integrated screens, or pre-development specifications. Covers visual design, interaction states, design handoff, and usability validation.

Guide low-fidelity prototyping workflows for UI/UX design. Use when the user needs to create wireframes, paper prototypes, rough mockups, or early-stage design explorations. Covers sketch-to-wireframe workflows, rapid iteration, user testing with lo-fi artifacts, and transitioning from lo-fi to hi-fi.

UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.

Use when setting up GitHub Actions, automated testing, build checks, or deployment workflows. Triggers on "CI/CD", "pipeline", "GitHub Actions", "deploy", "automated testing", "build check".

Use when creating, modifying, or deploying Supabase Edge Functions. Triggers on "edge function", "create function", "deploy function", "serverless", "Deno function", "new endpoint".

Alias for edge-function-creator. Use when creating, modifying, or deploying Supabase Edge Functions. Triggers on "edge function", "create function", "deploy function", "serverless", "Deno function", "new endpoint".