AI Agent & Automation Workflows

Scans Reddit, X, LinkedIn, Instagram, TikTok, YouTube, blogs, news, and review platforms for brand mentions — scoring each one across four dimensions (reach, velocity, sentiment, and risk-topic match) so marketing teams can respond before a mention spirals. Source selection is market- and company-specific: B2B SaaS brands get weighted coverage of LinkedIn, G2, HN, and trade press; consumer brands get TikTok, Instagram, X, and YouTube. Every mention is bucketed into Crisis / Watch / Engage / Log with a suggested owner and response window. Powered by Nimble.

Tracks how competitors position themselves online — scrapes homepages, features, pricing, and blogs to extract messaging, value props, CTAs, and pricing models. Compares against previous snapshots to surface positioning shifts with before/after tracking. Produces messaging matrices, content gap analysis, white space maps, and battlecard inputs.

Fills gaps in existing healthcare practitioner lists — adds missing phone numbers, credentials, specialties, contact info, education, reviews, and regulatory data.

Extracts structured practitioner data from healthcare practice websites. Returns names, credentials, specialties, contact info, and education for every provider on a practice's site.

Validates practitioner credentials and license status against the NPI registry. Cross-references specialties, credentials, and practice addresses against official records. Returns Verified / Partially Verified / Unverified / Flagged per practitioner with mismatch details and source URLs.

Monitors press, social, developer communities, and competitor channels from any point around a product launch — tracking sentiment, flagging mischaracterizations, surfacing competitor responses, and recommending actions in real time. Nimble reaches sources that block standard agents — including paywalled press, Reddit, LinkedIn, JavaScript-heavy pages, and live community forums — while Claude triages every signal by urgency. Delivers a Response War Room dashboard with a live signal feed, mischaracterization tracker, competitor response panel, and sentiment velocity chart.

Discovers all businesses of a given type in any geography using Nimble WSAs. Two modes: Discovery finds businesses from scratch; Audit compares a user's existing list (Google Sheet, CSV, inline) against fresh discovery, categorizing entries as matched, discovered-only, or reference-only. Vertical presets (Healthcare, SaaS, Restaurants, Legal, Auto/Home) auto-select WSA routing.

A building experience: create, test, validate, refine, and publish extraction workflows based on existing or new Nimble agents. For users who want to invest in a durable, reusable workflow for a specific domain — not get data immediately. Trigger phrases: "set up extraction for X site", "I need to extract from this site regularly", "build an agent for", "create a reusable scraper", "generate a Nimble agent", "refine my agent", "add a field to my agent", or when the user wants to run extraction at scale. For getting data immediately, use nimble-web-expert instead.

Reference for nimble agent commands. Load for Step 0 agent lookup. Contains: full agent table (50+ sites across e-commerce, food, real estate, jobs, social, travel), discover/list/schema/run commands, response shapes (PDP=dict, SERP=list, google=entities), agent memory.

Reference for nimble crawl command. Load when bulk-crawling many pages asynchronously. Contains: async workflow (create → status → tasks results), all flags, polling guidelines, CRITICAL: use taskid (not crawlid) for results, crawl vs map comparison.

Builds Databricks data products from live web data, end to end: discovers the right Nimble web-data agents, scrapes into Delta tables, and produces an AI/BI dashboard and/or a deployed Databricks App — a table → dashboard → app workflow, for production data products or quick demos. Use whenever a request pairs live or scraped web data WITH a Databricks destination — e.g. "scrape Amazon/Walmart prices into a Delta table and build a dashboard", "load Zillow/Instagram/Maps/search results into Databricks and build a dashboard or app", "showcase Nimble + Databricks to a prospect". Prefer it over nimble-web-expert or competitor-intel when the data lands in Databricks. Do NOT use for one-off web fetches or CSV exports with no Databricks destination — use nimble-web-expert instead. Do NOT use for competitor or company research briefings — use competitor-intel or company-deep-dive instead. Do NOT use for generic Databricks work with no Nimble/web-data angle — use the official databricks- skills instead.

Reference for nimble extract command. Load when fetching URLs or scraping pages. Contains: render tiers 1-3, all flags, browser actions, network capture, parser schemas, geo targeting, async, parallelization.

Reference for Nimble Extraction Templates — reusable, site-specific structured scrapers. Load for Step 0 when a named site has a direct item to look up (by URL or identifier). Covers: discover (list), inspect (get → inputschema/outputschema), run/async/batch, response shapes, and the no-template→Web Search Agent routing rule. Existing templates only.

Reference for nimble map command. Load when discovering URLs on a site before bulk extraction. Contains: all flags (limit 1-100000, sitemap include/only/skip, domainfilter), response structure {links[].url/title/description}, map→filter→extract pattern, map vs crawl comparison.

Reference for nimble search command. Load when searching the live web. Contains: all flags, 8 focus modes (general/coding/news/academic/shopping/social/geo/location), searchdepth modes (lite/fast/deep), response structure, credit costs.

Reference for nimble tasks and batches commands. Load when polling async task status, tracking batch progress, or fetching results. Works for ALL async types: agent run-async, agent run-batch, extract-async, extract-batch, crawl (per-page tasks), search async, map async. CRITICAL: agent tasks use "success"/"error" states; crawl page tasks use "completed"/"failed".

Get web data now — fast, incremental, immediately responsive to what the user needs. The only way Claude can access live websites.

SEO intelligence toolkit covering the full lifecycle via live web data: keyword research, rank tracking, site audits, content gap analysis, competitor keyword reverse-engineering, AI visibility across five platforms (ChatGPT, Perplexity, Google AI, Gemini, Grok), and GitHub repo SEO. Crawls real sites and SERPs via Nimble CLI — no fabricated metrics.

Finds qualified candidates for a role by searching LinkedIn, Indeed, GitHub, and other professional platforms using Nimble Web Search Agents. Accepts a job description, role title, or freeform request and returns a ranked candidate list with profiles, skills, and contact signals.