TheMattBerman

Build or update a Google Ads Intent Map from search terms, campaign data, and account context. Pulls live data via MCP or works with manual exports. Produces structure drafts when intent classes need separation.

Analyze a Google Ads search terms report for waste, buyer-intent signals, negative candidates, isolation opportunities, and messaging clues. Pulls live data via MCP or works with manual exports. Produces negative keyword drafts and RSA drafts when findings warrant.

Recommend negative keywords for Google Ads with the right match type, scope, and caution. Pulls live data via MCP or works with manual exports. Always produces a negative keyword draft for human review.

Full Google Ads review that synthesizes tracking, search terms, intent mapping, negatives, structure, RSAs, budget decisions, and PMax context into a single operator read. Pulls live data via MCP or works with manual exports. Produces a prioritized batch of action drafts.

Analyze Performance Max through the lens of intent contamination, cannibalization, weak control surfaces, and what can still be learned despite PMax opacity. Pulls live data via MCP or works with manual exports.

Generate or refine Google Ads RSA recommendations using real buyer language from search terms, intent clusters, and winning modifiers. Pulls live data via MCP or works with manual exports. Produces RSA refresh drafts.

Execute approved draft actions in Google Ads accounts. Supports four safe mutation types plus bounded budget writes: add campaign-level negatives, add ad-group-level negatives, pause keywords, pause ad groups, and set campaign daily budgets through an Apply Manifest. Requires human confirmation via dry-run → approve → execute → verify → audit flow. All actions are logged in the audit trail and fully reversible.

Google Ads operator system for search-term analysis, intent mapping, wasted spend control, account structure decisions, tracking diagnostics, RSA generation, budget review, account planning, and full-account audits. Supports live API data (connected mode via google-ads-mcp) or manual exports (export mode). Produces draft actions for human review.

One-time brand initialization. Given a brand name and URL, researches the brand and generates the three workspace/brand/ files that the rest of the pipeline reads. Run once per brand before any campaign work.

Router and orchestrator for AI UGC video production. Use for broad outcome requests like making a UGC video or running a campaign; it routes step-specific requests to the right sub-skill and can drive the full pipeline from persona research through virality-scored video.

ScrollClaw system — core doctrine, format selection, pipeline routing, and anti-patterns. Loaded into every UGC conversation.

Assembly stage for UGC videos. Handles stitch mode, post mode, captions mode, or full-assemble mode when the user is explicitly working on finalizing an existing campaign video.

Animate first frames into A-roll talking head clips. Uses Sora 2 via fal.ai (primary) with Kling 3 auto-fallback when Sora is unavailable or sunset.

Generate B-roll environment and product shots with Kling 3 via fal.ai. Environment matching, cut timing, and visual-only clips that play under continuous voice.

Generate the canonical first frame with Nano Banana 2. Composition, character, environment, and color — all locked before animation. The visual design gate.

Start of the UGC pipeline for persona research, creator profiles, format selection, and scriptwriting. Use when the user is clearly asking for messaging work rather than broad full-pipeline orchestration.

Turn a product URL or product image into a brand-aware ecommerce shoot plan: brand read, visual gap audit, shoot strategy, shot list, GPT Image-ready prompts, QA rubric, and export map. Use for PDP/lifestyle/model/seasonal product photography systems. Do not use for ad spying, competitor ad intelligence, paid-social creative mining, or media-buying analysis.

Extract brand/product evidence from an ecommerce product URL before any Brand Shoot Kit planning or generation. Use for PDP scouting, source evidence capture, product image URL collection, degraded-mode notes, and scout.json creation. Do not use for ad spying or competitor ad research.

Package approved Brand Shoot Kit assets into channel-specific ecommerce export folders and manifests. Use for PDP/social/email/marketplace maps, naming, export manifests, and handoff-ready asset organization.

Write reusable Brand Shoot Kit memory after a product shoot: product preservation lessons, winning visual directions, failed prompts, QA risks, and future-shot guidance.

Create the immutable product truth and preservation brief for Brand Shoot Kit outputs. Use when product shape, packaging, label text, claims, variants, compliance, or distortion risk must be protected before image generation.

Write GPT Image-ready ecommerce product photography prompts from a Brand Shoot Kit shot list and product preservation brief. Use for prompt packs, negative constraints, reroll instructions, and category-aware generation guidance.

Score generated Brand Shoot Kit images for product accuracy, realism, brand fit, commerce usefulness, and artifact risk. Use for QA reports, reject queues, reroll decisions, and correction prompts.

Turn Brand Shoot Kit evidence and gaps into a focused ecommerce shoot strategy and 12-shot production plan. Use for creative direction, set/model choices, channel ratios, and production sequencing.

Generate comprehensive research briefs before sales calls. Pulls company info, recent news, prospect background, and suggests talking points.

Scan A-tier leads for buying signals using Perplexity deep research. Checks for funding, hiring, press, and growth indicators to prioritize the hottest prospects.

Verify email addresses before sending to protect deliverability. Uses Hunter.io verification API. Filters out invalid, disposable, and risky emails.

Score leads against your Ideal Customer Profile. Analyzes title, company, industry fit and assigns A/B/C/D tiers for prioritization.

Load leads and email sequences into Instantly.ai campaigns. Handles lead upload, custom variables, and campaign management.

Enrich leads with full LinkedIn profile data (RapidAPI) and verified work emails (Hunter.io + Apollo). Two-stage enrichment for maximum data capture.

Mine LinkedIn posts for engaged prospects using Fresh LinkedIn Data API (RapidAPI). Scrapes posts by keyword/influencer and extracts engagers (commenters + reactors) with profile data.

Generate personalized cold emails for scored leads. Creates subject lines, opening hooks, and follow-up sequences based on lead context and engagement.

Top-level operator skill for Landing Page Factory. Classifies requests, chooses stage order, enforces prerequisites and hard stops, manages variant pages, reruns changed stages, and handles page-package admin.

Build a deployable landing page from strategy, copy, visuals, and brand profile using category-aware routing, preservation hierarchy, and explicit QA. Single-file HTML output.

Final landing-page QA pass against strategy, proof provenance, mechanism clarity, trust preservation, accessibility, and anti-slop. Gates whether a page is shippable or draft-only.

Plan and generate visuals by preservation class: exact product, branded environment, or concept support. Uses strategy-driven shot selection and visual QA instead of generic vibe prompting.

Extract operator-grade source facts from a website or manual brief: claims, proof, CTAs, mechanism language, trust cues, visual patterns, and page structure with provenance. First stage of Page Factory.

Write mechanism-preserving, proof-disciplined landing page copy from strategy, brand profile, and extract language bank. Includes mandatory sharpness audit and claim control.

Build an evidence-backed brand profile from site extract and page strategy. Separates observed facts from synthesis so downstream skills preserve the brand instead of rewriting it.

Normalize raw extract or manual brief into a page strategy artifact: mechanism, offer, audience, proof provenance, CTA, preservation plan, and review flags. Mandatory before copy or build.

Batch-analyze a set of videos with Content DNA, then aggregate into a Pattern Report showing dominant formats, top portable bricks, and adapted concepts for your niche. Use when running the weekly Monday Drop pipeline, analyzing a competitor's content library, or researching what's working in a niche. Takes a Virlo comet ID or list of URLs. Feeds into The Forge.

Reverse-engineer any TikTok or Instagram video into a 7-dimension Content DNA breakdown using Gemini Flash 3. Identifies topic, angle, hook structure, story structure, visual format, key visuals, and audio. Also isolates portable bricks and generates 3 adapted concepts for your niche. Use when: user wants to analyze a video, understand why something went viral, steal a format, or generate adapted content concepts from an outlier.

Fuse performance signal and discussion signal into a single niche briefing. Virlo tells you what is performing. `last30days`, when installed, can supply Reddit and X discussion signal; otherwise the agent uses search directives. Use when: user wants a niche briefing, wants signal overlap, wants to know what matters and why, wants validated opportunities, early signals, or format gaps, or needs research prepared for The Forge. Use virlo separately only when the user wants raw performance data without synthesis.

Shared operating rules for the OpenClaw 100k Posts system. Defines the workspace contract, what files each skill can read or write, and how artifacts move from research to analysis to concept generation to delivery.

Run the full content pipeline end-to-end: Virlo → Content Radar → The Forge → deliver a weekly pack of ready-to-post concepts. Use when: user asks for 'monday drop', 'run the content pipeline', 'generate my weekly content', 'what should I post this week', or wants a full content briefing with forged concepts. Outputs 5-10 platform-specific content concepts with hooks, angles, and Care To Click arcs.

Turn source patterns into brand-native, ready-to-post content concepts with visible lineage to the original outlier. Runs input through three psychology frameworks (Puppet Strings, Scroll Traps, and Care To Click) plus pattern transfer and brand voice translation. Use when: you have a pattern report, outlier analysis, viral post, or raw research and need to forge it into finished concepts in a real voice. Triggers on: forge this, run through the forge, content concepts from patterns, what should I post about this.

Pull raw performance signal from TikTok, Instagram, and YouTube using your saved Virlo comet. Fetch top videos, creator outliers, and ads for a niche. Use when: user asks what is performing, wants top videos, wants breakout creators, wants creator outliers, wants raw Virlo data, wants ads, needs a comet set up, or needs performance intelligence before synthesis. Do NOT use this as the final briefing layer — use content-radar when the goal is to combine performance with discussion signal and decide what matters.

Build or refine a reusable creator voice profile for this repo. Turn writing samples into a practical voice guide that downstream skills can actually use.

Generate high-converting Meta ad copy matched to specific image creatives. Analyzes visuals, writes copy that reinforces the image, cross-references account performance data through the official Ads CLI adapter when available, and outputs payload-ready variants.

Track creative performance over time and detect fatigue before it kills ROAS. Monitors CTR decay, frequency creep, and CPC inflation at the ad level.

Prepare and upload Meta ad copy/images with official Ads CLI-first workflows where supported. Builds payloads, enforces dry-run/PAUSED-only guardrails, and creates or refreshes ads only after approval. Downstream of ad-copy-generator.

Analyze spend efficiency across campaigns and adsets. Recommends budget shifts from underperformers to winners.

Meta Ads management and reporting — daily checks, campaign performance, creative fatigue, bleeders, winners. Uses a local adapter over Meta Ads CLI in mock/read-only/live-approved modes.

Meta Pixel + Conversions API (CAPI) setup, audit, testing, and EMQ optimization. Covers browser pixel installation, server-side CAPI implementation, deduplication, advanced matching, and Event Match Quality scoring across all major platforms.

Matt Berman's custom SEO content engine. Learns your brand through a smart interview, then creates content that ranks AND converts using Puppet Strings, Scroll Traps, and Care To Click psychology. Anti-AI-Overview by design. DataForSEO integrated. The content your competitors can't copy because it requires real experience.

Generate premium SEO article images using Nano Banana 2. Six locked-in visual styles with cinema-grade JSON prompts. No stock photo slop.

SEO technical checklist and publishing reference. Meta tags, schema markup, llms.txt, topical authority, internal linking rules, Core Web Vitals targets, and image optimization. The agent uses this when publishing content. You can use it to audit existing pages.

Self-improving SEO system. Finds keywords via DataForSEO, writes content that ranks, monitors GSC for what's climbing, then writes MORE content to push winners higher. A feedback loop, not a one-shot tool.

Technical SEO monitoring. Weekly PageSpeed audits, Core Web Vitals tracking, crawl health checks, image optimization, and mobile usability. Catches problems before they tank your rankings.

Backlink acquisition engine. Mines competitor backlinks, finds unlinked brand mentions, discovers broken link opportunities, audits internal linking, and prospects resource pages. Turns link building from guesswork into a repeatable system.

Use when optimizing X/Twitter posts for reach, debugging underperforming content, or understanding For You feed mechanics. Triggers on X algorithm, Twitter optimization, viral posts, engagement strategy, Phoenix ranking, weighted scorer, Grok ranking.

Director-First UGC video generation using Kling 3.0 (via fal.ai). Generates authentic AI characters, visuals, scripts, and videos through a 4-module pipeline with user approval gates. Triggers on: ugc, ugc video, ugc creator, testimonial video, user generated content, ai ugc, kling ugc, fal ugc, create ugc ad, ugc content factory.