AEO Toolkit
by Rian O'Leary
Audit and fix your website's visibility for AI agents like ChatGPT, Claude, and Perplexity.
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THE AGENSI STORE
35 skills found
by Rian O'Leary
Audit and fix your website's visibility for AI agents like ChatGPT, Claude, and Perplexity.
by Aman Garg
AI drafts sound like AI wrote them. This skill learns how you actually write and makes every email, message, and doc sound like you typed it yourself.
A security gate that intercepts sensitive agent actions like payments and deletes for mandatory human approval.
by Kevin Cline
Convert text to lifelike, expressive speech using the ElevenLabs Multilingual v2 API.
Turn a company URL or name into a B2B lead profile: industry, size, tech stack, likely decision-makers, estimated email patterns, and buying signals like funding or hiring, each with a confidence score so guesses are labeled as guesses. One company at a time; for batch lists and CRM export, see Lead Enricher Pro.
Run real Playwright E2E tests on your web app: login, checkout, and form flows across desktop and mobile viewports, with screenshots, traces, and console logs captured on every failure. Catches broken flows and UI regressions before release, and tells you the likely fix, not just that something broke.
Humanize AI writing without changing the facts: strips the tells (delve, tapestry, em-dash abuse, throat-clearing) and rewrites flat LLM prose into sharp, concrete, human-sounding copy. Feed it a writing sample and it builds a reusable voice profile so every future draft sounds like you, not the model.
Preview code-like comment blocks across JavaScript, TypeScript, Python, Java, Go, Rust, HTML, and CSS. Preservation rules run before candidate detection; confirmed cleanups create .bak backups and remove only reviewed ranges.
by Shandra
Creates practical no-code app ideas, MVP briefs, and AI-ready prompts for tools like Bolt.new, Lovable, Cursor, Replit, and single-file web app builders.
Qualify and score a whole lead list with BANT or MEDDIC, automatically. Researches each account for buying signals like funding and leadership changes, scores it with a reason code for every point, and returns a prioritized queue with outreach drafts tied to what it found. CSV in, sales-ready queue out.
Drive a browser from your agent without the token bloat. Batches navigate/click/type into one call, stays logged in with persistent sessions, and feeds the model compact DOM snapshots instead of giant HTML, so multi-step flows like logins, form-filling, and scraping behind auth stay fast and cheap. Runs on the uBrowser MCP server.
Turn an account's contact list into a champion map: classifies each stakeholder as economic buyer, coach, blocker, or user, scores them 0-100, and renders the power structure as an org chart with a next-action angle for each one. So reps stop treating every stakeholder like the same beige rectangle.
Scan local SQL, CSV, JSON, seed, fixture, and log files for PII-indicating names plus email-, SSN-, card-, and phone-like values. Get file/line findings with matched values redacted by default—no network, writes, database connection, or compliance claim.
Run a 10,000-iteration Monte Carlo forecast on your pipeline CSV to get P50/P70/P90 revenue confidence intervals, an ASCII distribution histogram, and what-if scenarios for slipped deal dates. Answers 'how likely are we to hit the number?' instead of a flat weighted-pipeline guess.
Figure out why your Vercel build or deploy failed without scrolling the whole log. Reads the build log plus your package manifest and framework config to pinpoint missing modules, Node and package-manager mismatches, missing env vars, monorepo root mistakes, and serverless/edge runtime errors, with the likely cause and a fix for each.
Audit local dbt SQL and YAML for missing model tests, source freshness and test gaps, likely-key coverage, missing model descriptions, SELECT *, and raw table references. Get severity-ranked findings plus starter tests YAML for model/key gaps without running dbt or querying a warehouse.
Check a desired handle against every platform's username rules and find the form that works everywhere. Flags handles that break a platform's length limits, use a disallowed character (like a period on YouTube or TikTok), or start with a disallowed character, and recommends the safe consistent form (4 to 15 lowercase alphanumeric). Covers X, Instagram, TikTok, YouTube, Twitch, GitHub, and Bluesky. It checks the rules, not availability.
Flag the hidden and look-alike characters lurking in a handle or brand string. Catches zero-width characters, mixed-script look-alikes (a Cyrillic "а" passing as a Latin "a"), right-to-left and bidi override characters, unexpected non-ASCII, and stacked combining marks. These are the spoofing tricks and display bugs you cannot catch by reading.
by Nex AI
A strategic decision-making framework for solo agency owners to eliminate overthinking and act like an operator.
Audit the decoded text a QR code carries before you print it on something. Flags URLs that are not absolute, link shorteners that hide the real destination, unsafe schemes (javascript:, data:, file:), payloads too long to scan reliably, malformed Wi-Fi or contact payloads, and exposed credentials like a Wi-Fi password or a token sitting in a URL. It audits the decoded payload you paste; it does not read images.
The default MCP server is an API wrapper that dumps forty endpoint-shaped tools on the model and hopes — and the model gets confused, picks the wrong tool, and produces garbage that looks like a tool call
Flag every em-dash and AI transition cliché in a draft and get a plain replacement suggestion for each. Catches em-dashes (the "ChatGPT dash"), overused transition words and phrases (moreover, furthermore, "in today's digital age," delve), and dash-like punctuation doing vague connective work. It flags and suggests; you decide what to change.
Audit any page, article, or doc for how likely AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Claude — are to surface and cite it. Checks answer-first extractability, question-shaped structure, quotable units, factual specificity, sourcing, schema, and freshness, then returns a PASS/REVISE verdict with the prioritized fixes. This is Answer Engine Optimization, not classic SEO — it optimizes content to be quoted inside AI answers.
Turn an error, stack trace, and logs into a structured root-cause diagnosis — reconstructed failure, ranked hypotheses with evidence, the most likely cause, and the cheapest next diagnostic or fix. The disciplined pass a senior engineer runs, instead of scattershot guess-and-check.