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Found 4,647 Skills
Expert B2B list building orchestrator for outbound sales campaigns. Use when the user asks about building lead lists, Sales Navigator search, boolean filters, ICP definition, ICP scoring, lead sources, data validation, email verification, list segmentation, Apollo prospecting, Clay Find People, list hygiene, deduplication, account qualification, ABM lists, or assembling prospect lists for cold outreach. Also triggers on "lead list", "list building", "Sales Navigator", "boolean search", "ICP", "ideal customer profile", "find leads", "prospect list", "lead source", "email verification", "data validation", "list hygiene", "Evaboot", "PhantomBuster", "export leads", "build a list", "find prospects", "deduplicate", "qualify accounts", "ABM". Do NOT use for enrichment workflows (use clay skill) or email writing (use cold-email skill).
Extract startup ideas from YouTube videos via solograph MCP — index, search, and analyze video transcripts for business ideas. Multi-MCP coordination pattern (YouTube source → analysis → storage). Use when user says "extract ideas from YouTube", "index YouTube video", "find startup ideas in video", "analyze YouTube for ideas", or "what ideas are in this video". Do NOT use for general YouTube watching (no skill needed) or content creation (use /content-gen).
Build full-stack React applications with TanStack Start. Use when creating SSR/SSG apps, server functions, API routes, middleware, or deploying to Cloudflare/Vercel/Node. Triggers on "tanstack start", "server functions", "createServerFn", "full-stack react", "SSR framework", or file patterns like vite.config.ts with tanstackStart, src/server.ts, *.server.ts.
Expert patterns for branching dialogue systems including dialogue graphs (Resource-based), character portraits, player choices, conditional dialogue (flags/quests), typewriter effects, localization support, and voice acting integration. Use for narrative games, RPGs, or visual novels. Trigger keywords: DialogueLine, DialogueChoice, DialogueGraph, dialogue_manager, typewriter_effect, branching_dialogue, dialogue_flags, localization, voice_acting.
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.
Analyze code performance, detect bottlenecks, suggest optimizations for algorithms, queries, and resource usage. Use when improving application performance or investigating slow code.
An agent that helps relationship managers prepare for upcoming client meetings by synthesizing a tailored Point of View and detailed Speaker Notes from multiple information sources.
Parse raw text from an Instagram or TikTok Story insights screenshot and format it into a clean, spreadsheet-ready row with labeled fields. This skill should be used when parsing Story metrics from a screenshot, formatting Story insights for a spreadsheet, extracting metrics from a pasted Story screenshot, cleaning up Story analytics data, converting Story insights text into structured data, turning a Story performance screenshot into a row for the tracker, logging Story metrics into a spreadsheet, normalizing Story screenshot data, pulling numbers from a Story insights paste, organizing Story metrics from creator screenshots, processing a batch of Story screenshots into rows, building a Story metrics tracker from screenshots, or entering Story data from a screenshot into a sheet. For normalizing metrics from multiple sources into a unified table, see metrics-normalization-formatter. For calculating engagement rates and comparing to benchmarks, see engagement-rate-calculator-benchmarker.
Conduct deep research on any topic through structured investigation design. Use when the user needs comprehensive, multi-source analysis -- not a quick lookup. Triggers: deep research, comprehensive analysis, research report, compare X vs Y, analyze trends, investigate, or any request requiring synthesis across multiple perspectives. Do NOT use for simple questions answerable with 1-2 searches or for debugging.
Use when implementing any code in RLM Phase 3. Enforces strict RED-GREEN-REFACTOR discipline with The Iron Law - no production code without a failing test first.
Optimize and convert images using the optimo CLI and API on top of ImageMagick. Use when the user mentions reducing image size, image compression, batch image optimization, converting formats (jpeg/png/webp/avif/heic/jxl), resizing by percentage/dimensions/max-size, or running optimo in scripts.
Enforces the discipline of thinking about tests, features, and maintainability BEFORE writing implementation code. Use when starting new classes/methods, refactoring existing code, or when asked to "think about tests first", "design for testability", "what tests do I need", "test-first approach", or "TDD thinking". Promotes simple, maintainable designs by considering testability upfront. Works with any codebase requiring test coverage and quality standards.