Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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YouTube thumbnail design with specific dimensions, contrast rules, and mobile preview optimization. Covers safe zones, text placement, face expression psychology, and A/B testing. Use for: YouTube thumbnails, video cover images, click-through optimization. Triggers: youtube thumbnail, thumbnail design, video thumbnail, click through rate, ctr optimization, youtube cover, video cover image, thumbnail maker, thumbnail tips, youtube design, video preview image
Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image
Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining, and visual deliverables. Use for: market research, competitive intelligence, investor decks, product strategy, sales enablement. Triggers: competitor analysis, competitive analysis, competitor teardown, market research, competitive intelligence, swot analysis, competitor comparison, market landscape, competitor review, competitive landscape, feature comparison, market positioning
AI product photography with studio lighting, lifestyle shots, and packshot conventions. Covers angles, backgrounds, shadow types, hero shots, and e-commerce image requirements. Use for: product photos, e-commerce images, Amazon listings, packshots, lifestyle photography. Triggers: product photography, product photo, packshot, e-commerce photography, product shot, product image, studio photography, lifestyle product, amazon product photo, product listing image, hero shot, product mockup, commercial photography
Product Hunt launch optimization with specific specs, timing, and gallery strategy. Covers taglines, gallery images, maker comments, and launch day tactics. Use for: product launches, startup launches, side project launches, Product Hunt optimization. Triggers: product hunt, ph launch, product hunt launch, launch strategy, product launch, startup launch, product hunt tips, product hunt gallery, ph optimization, launch day, product hunt maker
Maintain character consistency across AI-generated images with reference sheets and LoRA techniques. Covers turnaround views, expression sheets, color palettes, and style consistency techniques. Use for: character design, game art, illustration, animation, comics, visual novels. Triggers: character design, character sheet, character consistency, character reference, turnaround sheet, expression sheet, character art, consistent character, character concept, reference sheet, character creation, OC design, character bible
Create App Store and Google Play screenshots to exact platform specifications. Covers iOS/Android dimensions, gallery ordering, device mockups, and preview videos. Use for: app store optimization, ASO, app screenshots, app preview, Play Store listings. Triggers: app store screenshots, ASO, app store optimization, Play Store screenshots, app preview, app listing, iOS screenshots, Android screenshots, app store images, app mockup, device mockup, app gallery, store listing
S3-compatible object storage that branches with your database, so each branch gets its own copy of the files and the rows that point at them. Use when a user wants object storage, a bucket, blob/file storage, or somewhere to put uploads, images, documents, avatars or user-generated files for their app or agent—especially when they already use (or are setting up) Lakebase Postgres and don't want to add a separate storage provider like AWS S3, Cloudflare R2 or Supabase Storage. Triggers include “object storage”, “bucket”, “blob storage”, “file storage”, “store uploads/images/files”, “S3-compatible storage”, “presigned URL”, “where do I put files”, “storage logs”, “bucket logs”, “CDN in front of object storage”, “Neon Object Storage”, “Neon Storage” and “storage that branches with my database”.
Diagnoses how to organize, argue and express content around an established topic, and develops a creative plan. Use when the user wants to turn a topic into content. Does not handle line-by-line editing of existing drafts or writing finished headlines and opening passages.
Plan the UX and UI for a feature before writing code. Runs a structured discovery interview, then produces a design brief that guides implementation. Use during the planning phase to establish design direction, constraints, and strategy before any code is written.
Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
Use when finding real role-holders at known company domains from an ICP, especially prompts like 'find all job titles at these companies', 'find qualified titles', 'find RevOps or marketing-ops buyers', or when exact title discovery should precede paid people search.
Long-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASE_URL injected automatically and compute that runs next to your data. Use when a user wants to host an API, an AI agent with long streaming responses, a WebSocket or server-sent-events (SSE) server, a webhook handler, a Discord bot, an MCP server or any request/response workload that risks timing out on short, lambda-style serverless functions—and wants it to branch with their database. Also use for Function Triggers: a cron or an object-storage event that POSTs to a function. Triggers include “serverless function”, “deploy an API”, “long-running function”, “streaming agent”, “SSE server”, “WebSocket server”, “webhook handler”, “MCP server”, “cron”, “scheduled function”, “object storage trigger”, “on upload”, “function that won't time out”, “function logs”, “Neon Functions”, “Neon Compute”, “DDoS protection”, “rate limiting” and “production hardening”. For live UIs over database rows, use neon-realtime.
Automatically identifies whether the user is solving a specific business problem or seeking a comprehensive business model review, then starts the corresponding diagnostic process. Use when the user wants to break down a business, review a business model, or resolve a specific business challenge.
Defines the company's ideal customer profile (ICP) at sales-leadership altitude—the firmographic, technographic, behavioral, and intent criteria; a weighted scoring rubric with explicit disqualifiers; and the refresh cadence that targeting keys off. Works from closed-won/lost deal data, or from founder-led discovery when deal data is thin. Covers B2B account ICPs and the equivalent B2C demographic/psychographic profile. Use whenever the user mentions the ideal or target customer, buyer profile, “who should we sell to,” or targeting that is too broad, even without the letters ICP. Do NOT use for TAM/SAM/SOM sizing (mbfinotti/sales-skills@sales-market-sizing) or account fit scoring (mbfinotti/sales-skills@sales-account-segmentation).
One API and one credential for frontier and open-source LLMs and embedding models, built into your Neon branch and powered by Databricks. Use when a user wants to call an LLM, generate embeddings, add AI/chat/an agent to their app, route between model providers (OpenAI, Anthropic, Google/Gemini, Meta, Alibaba, and more), or avoid juggling separate provider API keys and accounts — especially when they already use Neon and want AI requests to branch with their project. Works with the OpenAI SDK, Anthropic SDK, google-genai, the Vercel AI SDK, and Mastra by changing only the base URL. Triggers include "call an LLM", "add AI to my app", "chat completion", "model routing", "LLM proxy/gateway", "one API for all models", "use Claude/GPT/Gemini", "AI SDK", "Mastra agent", "Neon AI Gateway", "generate embeddings", "generate images", and "log/rate-limit AI calls".
Models how much pipeline a team needs relative to quota—coverage ratios derived from win rates (raw multiplier, stage-weighted, conversion-inversion), segment-level coverage targets, in-quarter timing and the point of no return, seasonality indexing, and pipeline-gap math that turns a ratio into new-pipeline-required. A macro modeling exercise for sales leadership and RevOps, covering B2B and high-velocity/B2C motions. Use whenever the user mentions pipeline coverage, 3x pipeline, a pipeline gap, forecast shortfall, or “we missed quota with 4x coverage,” even without the word coverage. Do NOT use for deriving the quota itself (mbfinotti/sales-skills@sales-quota-setting) or inspecting one deal (mbfinotti/sales-skills@deal-red-flags).
Designs the tier layer downstream of an existing account fit score—cutoffs, tier names, rep-to-account capacity caps, coverage model per tier (touch cadence, channel mix, QBR frequency, executive involvement), coverage-ratio health metrics, and recalibration cadence. Covers B2B account tiering and B2C key-account tiering through retail/distribution channels. Use when the user mentions tiers, strategic/key/growth/long-tail accounts, accounts-per-rep ratios, 1:1, 1:few, or 1:many ABM coverage, or “everything drifted into Tier 1,” even without the word tiering. Takes the fit score as input. Do NOT use to build that score (mbfinotti/sales-skills@sales-account-segmentation).
Estimates TAM, SAM, and SOM for a market or sub-segment to ground sales capacity, territory, and quota planning—top-down, bottom-up using named accounts or population math, value theory, triangulation, a capacity-based SOM ceiling, and a per-layer refresh cadence. A macro planning exercise for sales leadership and RevOps, covering B2B and B2C. Use when the user mentions TAM, SAM, SOM, market size, addressable market, “how big is this market,” or the number behind next year's quota, even without those acronyms. Sizes for planning, not pitching. Do NOT use for defining the ICP (mbfinotti/sales-skills@sales-icp-definition) or turning SOM into quotas (mbfinotti/sales-skills@sales-quota-setting).
Employer-side hiring workflow for SDR/BDR and AE roles, producing an outcome-based scorecard, a structured interview loop with question bank, a scored mock-call work sample, and a 30-60-90 ramp plan with certification gates. Recommends SDR vs AE vs full-cycle from ACV, cycle length and inbound volume, and rests on selection-validity evidence — structured interviews, independent scoring, no brainteasers. Use whenever the user mentions hiring a rep, sales interview questions, a hiring scorecard, a mock call interview, rep onboarding, or a ramp plan, even without the word hiring. Do NOT use for candidate-side prep (mbfinotti/sales-skills@sales-career) or comp plan design (mbfinotti/sales-skills@sales-comp-design).
Before starting any sales project, and before answering a sales request that spans more than one sales topic or names no skill at all, run this router first. It routes the task to exactly one skill in the sales-skills collection, or says plainly that none fits, and bootstraps or resumes the project's shared sales-context.md artifact, producing a short-list plus an ordered skill chain. Fires on the state of the conversation rather than the subject matter, at a sales project start, at a periodic sales check-in or recurring sales review, on a mid-project re-route, or on any broad or ambiguous sales request such as "which sales skill do I need" or "where do I start with sales". Covers both altitudes, CRO-altitude planning (motion, ICP, market sizing, segmentation, tiering, org structure, quota, coverage, comp) and execution (outbound, cold calling, discovery, objections, MEDDPICC, recaps, call review, hiring, career). Run it even when sibling skills are already in daily use elsewhere.
Coach one person through landing and growing a sales career—from SDR/BDR entry and SDR-to-AE promotion onward—across B2B SaaS and commission-heavy B2C (real estate, insurance, solar, auto). Covers sales interview preparation (mock cold calls, “sell me this pen,” candidate-authored 30-60-90 plans), quantified track-record evidence, sales skill-gap roadmaps, employer diligence, and sales offer evaluation from the candidate's perspective, anchored to dated benchmarks (Bridge Group, RepVue, NAR). Use for “sales career,” “break into tech sales,” “SDR interview prep,” “SDR to AE path,” and “evaluate this sales offer.” Does not cover hiring (mbfinotti/sales-skills@sales-hiring), job searching or auto-applying, resume file generation, or deal-execution tactics.
Builds and maintains a personalized watch list of sales information sources — podcasts, newsletters, communities, benchmark reports, and sales people to follow — matched to the user's role, market, and time budget, shipped as a dated verified-source snapshot with per-source status and a freshness check that catches rebranded or dead sources. Covers B2B SaaS and B2C high-ticket as separate ecosystems. Use whenever the user mentions sales newsletters, sales podcasts, who to follow in sales, sales communities, staying current in sales, or refreshing a reading list, even without the word radar. Do NOT use for career or interview prep (mbfinotti/sales-skills@sales-career).
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.