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Found 555 Skills
Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.
This skill should be used when users need to scrape websites, extract structured data, handle JavaScript-heavy pages, crawl multiple URLs, or build automated web data pipelines. Includes optimized extraction patterns with schema generation for efficient, LLM-free extraction.
Complete reference for the Portkey AI Gateway Python SDK with unified API access to 200+ LLMs, automatic fallbacks, caching, and full observability. Use when building Python applications that need LLM integration with production-grade reliability.
Hook Model framework for building habit-forming products based on Nir Eyal's "Hooked". Use when you need to: (1) increase user engagement and retention, (2) design habit loops in your product, (3) audit why users aren't returning, (4) create effective triggers and notifications, (5) design variable reward systems, (6) increase investment and switching costs, (7) evaluate the ethics of your engagement tactics, (8) optimize onboarding for habit formation.
StoryBrand messaging framework based on Donald Miller's "Building a StoryBrand". Use when you need to: (1) clarify your brand message so customers understand it, (2) create website copy that converts, (3) write one-liners and elevator pitches, (4) build landing pages that follow narrative structure, (5) create marketing collateral that positions customer as hero, (6) diagnose why messaging isn't resonating, (7) develop a brand script for consistent communication.
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.
Generate chat completions using Sarvam AI's Sarvam-M model. Use when the user needs AI chat, text generation, question answering, or reasoning in Indian languages. Sarvam-M is a 24B parameter model with hybrid thinking, superior Indic language understanding, and OpenAI-compatible API. Free to use.
Product positioning framework based on April Dunford's "Obviously Awesome". Use when you need to: (1) define competitive alternatives your customers actually consider, (2) identify unique attributes that differentiate your product, (3) map attributes to customer value themes, (4) define best-fit target customers, (5) choose the right market category, (6) create a positioning canvas for team alignment, (7) run team positioning exercises and workshops.
General coding best practices and software engineering principles to build robust, maintainable, and scalable software.
Sticky messaging framework based on Chip & Dan Heath's "Made to Stick". Use when you need to: (1) make product messaging more memorable, (2) write sticky taglines and value propositions, (3) create compelling product demos and presentations, (4) design memorable onboarding experiences, (5) craft internal communications that stick, (6) apply the SUCCESs framework (Simple, Unexpected, Concrete, Credible, Emotional, Stories), (7) analyze why messaging isn't resonating.
Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports. Use when user asks to query NotebookLM, 'ask my notebook', shares NotebookLM notebook URLs, wants to list/create notebooks, manage sources, do bulk folder sync, dedupe, or audit exports.
Apply lean thinking to UX: hypothesis-driven design, collaborative sketching, and rapid experiments instead of heavy deliverables. Use when the user mentions "Lean UX", "design hypothesis", "UX experiment", "collaborative design", or "outcome over output". Covers hypothesis statements, MVPs for UX, and cross-functional collaboration. For Build-Measure-Learn, see lean-startup. For usability audits, see ux-heuristics.