robomotion-skills

p5.js sketches: gen art, shaders, interactive, 3D.

Master graphic-design knowledge for producing real visual assets with AI image models — blog and article covers, hero images, social and OG cards, ad creative, banners, icons, spot illustrations, and brand visuals. Use whenever someone asks you to design, create, generate, or art-direct an image, illustration, cover, banner, logo concept, or a coherent set of visuals; or when they hand you content (a post, a launch, a campaign) to illustrate. Covers composition, color, typography, brand identity, format/aspect specs, design critique, and — critically — how to write prompts and use reference images for the gpt-image and Gemini (Nano Banana) image toolkits so the output looks intentionally designed, not generically AI. Triggers: 'design a cover', 'make a banner', 'generate an illustration', 'create social cards', 'art direction', 'image prompt', 'on-brand visuals', 'a matching set of images'.

The unified visual generator — turn a brief into rendered high-res PNG/PDF graphics across seven fixed formats (carousel, story, infographic, slides, poster, chart, tweet). Resolve a style from a 16-style catalog, extract an ad-hoc style from a reference image, or synthesize a brand style from hex colors + fonts; source imagery (Unsplash or keyless) and ASCII art; the agent authors the HTML content while a deterministic driver binds design tokens to templates, runs a WCAG contrast check, and a Playwright renderer screenshots single files or whole slide directories at deviceScaleFactor 2. Use for any "make me a graphic / carousel / slides / poster / infographic / story" request and as the visual arm of social-kit.

Extract the highest-converting ad angles from real customer-voice data — reviews, Reddit threads, social complaints, and competitor ads — and return a ranked angle bank with verbatim proof quotes and recommended ad formats. For growth/paid-media teams who want ad copy grounded in evidence, not brainstorms.

Turn raw ad-campaign performance data (Google, Meta, LinkedIn) into clear cut/scale/test decisions — diagnose waste, identify winners, check statistical significance, and produce a concrete cross-channel budget-reallocation plan with scenario modeling and dollar-amount shifts. For founders/paid-media owners who need a specialist's read, not a dashboard summary.

Audit message match between each ad and its landing page — does the ad's promise carry through to the LP headline, body, and CTA? — and flag every disconnect plus conversion friction that kills click-to-convert rates. For teams getting ad clicks but few conversions.

Keep a brand's AI answer-engine visibility under continuous watch — on a recurring schedule re-run the AEO visibility check across Perplexity/ChatGPT/Gemini over a frozen prompt set, persist each run, diff against history, and alert the team only when mention rate, prominence, or share-of-voice materially moves (a competitor overtakes you, an engine drops you, a new citation source appears). The recurring wrapper around aeo-visibility. Requires one answer-engine key (Perplexity canonical); durable history defaults to a local JSONL ledger, with Supabase as an optional upgrade.

Measure a brand's visibility across AI answer engines (Perplexity, ChatGPT/OpenAI, Gemini, Tavily) — how often and how prominently it is mentioned, and where competitors get cited instead — then audit the site's AI-readability and produce prioritized recommendations. Use for a one-shot AEO baseline ("how visible are we in ChatGPT/Perplexity?", "audit our site for AI search"). Requires at least one answer-engine API key (Perplexity is canonical).

Two-phase Apollo.io prospecting — run a free People Search to discover ICP-matching leads, then enrich only the best matches to reveal verified emails/phones. Use to build SDR prospect lists from an ICP (titles, seniority, company size, geo, industry) while spending Apollo credits only on ranked winners.

Research one competitor from every public angle — website/messaging, G2/Capterra reviews, ads, social chatter, and pricing — and synthesize an opinionated sales battlecard (positioning traps, landmine questions, objection handlers, win/loss themes). Use when prepping reps for competitive deals or building a competitive program. Keyless backbone; the agent does all synthesis.

Aggregate recent blog posts from one or more sites via RSS/Atom (with an index-scrape fallback) for competitor watch, industry tracking, or keyword-filtered content monitoring — no API key. Returns a normalized, deduped, recency-and-keyword-filtered list of posts. Use to track what vendors are publishing or feed content-brief / campaign-brief skills.

Analyze a company's published content (blog posts, landing pages, case studies) and produce an actionable Brand Voice Profile — tone, vocabulary, sentence structure, formatting habits, and target persona — so later outreach, content, or campaigns sound like the existing brand. Deterministic scripts fetch and measure the corpus; you (the agent) write the voice profile. Keyless fetch.

Research a company's site and synthesize 4-6 detailed, realistic buyer personas (demographics, motivations, skepticism profile, ranked decision criteria, language patterns). Use to build reusable ICP personas that downstream skills load to evaluate content, messaging, sites, and campaigns through buyer eyes. Keyless research; the agent does the synthesis.

From a campaign goal, ICP, and product context, produce a complete, opinionated, execution-ready campaign brief — channel strategy, 3-tier messaging architecture, a 4-week content calendar, success metrics + north star, explicit scope cuts ("what we're NOT doing"), and a pre-launch asset checklist. A pure-reasoning composite for founders and small GTM teams; the agent synthesizes the brief grounded by a bundled intake/rubric schema. Produces the plan that feature-launch-playbook, content-brief-factory, and social-kit then execute.

Track known buyers, champions, and power users for job changes; when one moves to a new company, qualify the new company against ICP and draft warm, relationship-led outreach. The highest-conversion outbound signal — these people already trust the product. Composite that hands off to cold-email-outreach or linkedin-outreach.

Detect when known product champions change jobs (a high-intent re-sell signal) and qualify their new company against ICP. Baseline each champion's LinkedIn profile, then on a recurring cadence re-scrape and diff company/title to surface movers with an ICP fit verdict, ready for warm outreach.

Aggregate support, communication, usage, and commercial signals per account into a scored churn-risk report with severity tiers, root-cause hypotheses, and specific save plays. Built for seed/Series A teams with no CS platform — a spreadsheet of customers, a Slack channel, and a support inbox. Scoring is deterministic; the agent writes hypotheses and save plays.

The final mile of outbound — take leads from any source, design and write email sequences, verify deliverability, then load the campaign into the user's chosen tool (lemlist/instantly) or send one-off (sendgrid/resend) or export a tool-ready CSV, and launch. The launch target for the signal composites and outbound-prospecting-engine once contacts and drafts exist.

Find the decision-makers at a named company for a given set of target titles using a cheapest-first fallback (Apollo People Search when available, keyless LinkedIn-profile search otherwise). Returns contacts with name, title, LinkedIn URL, and location. Use when you have an ICP-fit company and need the humans to reach.

Analyze what a target company is doing across every go-to-market dimension — content, founder thought leadership, SEO/traffic, hiring, social, acquisition channels, podcasts/press, reviews, positioning, partnerships — and grade each A–F to expose white space. Run before designing a GTM strategy so the plan fills real gaps. Keyless backbone; the agent grades and writes the report.

Monitor competitor pricing pages over time — capture current plans/tiers/feature-gating, pull Wayback history, and diff against the last snapshot to detect price changes, tier restructuring, model shifts, and gating moves. Produces a living pricing comparison matrix plus change alerts. Keyless backbone; the agent normalizes and writes the report.

Scrape competitor ads from the Meta Ad Library and Google Ads Transparency Center, analyze creative patterns (hooks, formats, CTAs), reverse-engineer landing-page funnels, and produce a strategic teardown — positioning bets, vulnerabilities, creative white-space, and counter-plays. For paid/creative teams sizing up the competitive ad landscape before they launch or refresh.

Research 2–5 competitors across web, blogs, reviews, and social; build deep per-competitor profiles (overview, positioning, product, content, customer evidence, signals); and translate competitor moves into positioning/pricing/messaging recommendations. The baseline competitive-intel engine reused by battlecard-generator and competitor-monitoring-system. Keyless backbone; the agent profiles and recommends.

Stand up and run ongoing competitive-intelligence monitoring for a client — maintain a watchlist, establish a baseline, then track competitor content, ads, reviews, social, and product moves on a cadence (content/social/Reddit weekly, ads bi-weekly, reviews monthly, full re-baseline quarterly). Diffs each cycle vs stored snapshots and produces an intelligence report with recommended actions behind human checkpoints.

Turn the people who react to and comment on a COMPETITOR's LinkedIn posts into a tiered, qualified lead list. Engagers of a competitor's content are warm, category-aware buyers already evaluating the space. Discover the competitor's top recent posts, extract reactors/commenters (Apify -> PhantomBuster -> Playwright fallback, with a cost-confirm gate), dedup across runs, enrich the survivors via Apollo, then deterministically score each lead by ICP fit x engagement intent x recency into A/B/C tiers. Each lead is tagged with which competitor and which post they engaged.

Extract speaker names, titles, companies, and bios from a conference's /speakers page for pre-event research and outreach targeting. Tries multiple keyless extraction strategies (CSS cards, heading+paragraph blocks, JSON-LD, Sched/Sessionize) and falls back to a headless browser for JS-heavy sites.

A persistent contact database that tracks every person identified or contacted across prospecting strategies, deduplicated by LinkedIn URL or email, so recurring strategies never re-target the same person. Also tracks outreach status through the funnel. The dedup backbone for the event and signal pipelines.

Produce branded, self-contained content assets — industry reports, landing pages, comparison sheets, one-pagers — as styled HTML the agent authors, then exported to high-res PNG and/or print-ready PDF for lead magnets and marketing collateral. Use when a campaign or launch needs a polished downloadable deliverable, not just copy.

Generate detailed, differentiated content briefs at scale (1–50 keywords per run). Each brief carries real SERP analysis, a competing-page breakdown, a unique angle mined from real customer language, an internal-linking plan, and SERP-feature targets — so a writer knows exactly what to create and why it will rank. A composite: the agent runs SERP/customer-voice steps and synthesizes the brief; bundled keyless scripts handle coverage-matching and competing-page stats.

Draft 2–5 voice-tuned LinkedIn post variants from a free-form brief, each with a distinct framing, applying LinkedIn-native conventions (arrow bullets, a "why this matters" beat, 150–500 words, 0–2 hashtags) and self-checking against a personal voice guide before returning. The agent does the drafting; a bundled deterministic linter enforces banned-phrase / length / arrow-bullet / "why this matters" rules. Invoked standalone or by social-kit.

Turn a plain-text workflow ("Find leads → Enrich → Qualify → Send") into a FigJam/Miro-style PNG diagram with connected nodes, arrows, emoji icons, and labels — ready for docs, Slack, LinkedIn, or slides. A deterministic parser builds the node/connection model; the agent authors the styled HTML+SVG; the bundled Playwright renderer screenshots it. For process/pipeline/sequence visuals, not org charts or dense flowcharts.

Draft 2–5 voice-tuned X post variants from a free-form brief, each with a distinct framing (how-to, mechanism, problem-first, hype, contrarian…), and self-check each against a personal voice guide's banned phrases and format rules before returning — so posts sound like the user, not like an AI. The agent does the drafting; a bundled deterministic linter enforces banned-phrase / length / hashtag rules. Invoked standalone or by social-kit.

For churned accounts, research what has changed since they left (new funding, team growth, competitor dissatisfaction, product updates that address their original pain), assess re-engagement potential, and generate a personalized, timing-aware win-back sequence — no generic "we miss you" emails. Composite that hands off to cold-email-outreach or linkedin-outreach.

Handle disqualified and near-miss inbound leads gracefully — categorize each, draft the right response (polite decline, referral request, or nurture routing), and route to the correct destination so no inbound lead is ghosted and every disqualification preserves the relationship. Composite that reuses email-drafting and routes to a nurture/one-off send tool.

Write high-converting cold emails — subject lines, single emails, or full sequences — using structured frameworks (PAS, BAB, AIDA, Signal-Proof-Ask), personalization tiers, proven subject-line patterns, and tone guidance. Use whenever you need cold-email copy; auto-loads as the drafting primitive for the signal composites and cold-email-outreach. Pure reasoning plus a deterministic copy linter.

End-to-end event-driven prospecting — find attendees/speakers at conferences and events, research and qualify them against ICP, find decision-maker contacts, deduplicate against the contact cache, and hand off a clean qualified list for outreach. Orchestrates the event, qualification, contact-finding, and cache sub-skills.

Find expansion revenue inside the existing customer base by monitoring accounts for upsell/cross-sell signals — team growth, new job postings, funding, champion promotions, usage pressure, public news — and produce a weekly opportunity list with context and talk tracks. Multi-signal accounts rank highest.

Turn one feature/product-update spec into a complete, launch-ready kit — changelog entry, email announcement, LinkedIn variants, X thread, in-app banner, and (for major launches) a sales-enablement one-pager — plus a tier-appropriate launch checklist. A reasoning composite: the agent authors every asset; a bundled keyless script scaffolds the folder and gates which assets to produce by launch tier.

Detect recently-funded startups (Series A-C) as buying signals — fresh capital, growth mandate, active vendor evaluation. Aggregates funding announcements across tech press, Crunchbase, and Hacker News (keyless), dedups across sources, then (agent) extracts company/stage/amount/date and ranks for outreach in the post-raise buying window.

Across a list of companies, detect recent funding events, qualify them against the seller's context, find the right people (buyers/champions/users), and draft personalized outreach using fresh capital as the "why now" — the full chain from signal to outreach-ready. Composite that hands off to cold-email-outreach or linkedin-outreach.