All 23 skills from the README table, organised by agent. Each skill sits inside a specific agent folder and calls UnifAPI's public-data APIs underneath.
Enhanced skills (23 total, by agent)
SEO Agent (3): seo-audit (audits crawlability, on-page, and content against live SERP and ranking evidence), keyword-research (turns a seed list into ranked keyword opportunities and competitor gaps from live SERP and volume data), schema (advice-type skill for choosing and implementing schema.org types with valid JSON-LD).
AI Visibility Agent (3): ai-visibility-audit (the GEO equivalent of an SEO audit, checks whether you are cited in AI answers and who owns the answer instead), llm-mention-tracking (tracks how often you are mentioned across ChatGPT and AI search over a fixed prompt set, and how share of voice moves vs competitors), ai-answer-gap (finds the prompts you should own in AI answers but do not, names who owns each, ranks the gaps by AI search volume).
Local SEO Agent (3): local-pack-audit (pulls the live local pack/map results for a business's queries and reports exactly where it ranks vs competitors), listing-accuracy-audit (reads a business's public map/local listing and flags where details are inconsistent, incomplete, or wrong), local-competitor-scan (maps the competitors ranking ahead in the local pack and surfaces what they have that you lack, in concrete numbers).
Influencer Marketing Agent (3): kol-pricing (estimates Twitter/X KOL rates from public engagement, audience fit, and risk), creator-shortlist (finds creators by niche, audience language, recent momentum, and platform fit), audience-fit-check (vets a single creator's audience fit and brand-safety from public posts and engagement before outreach).
Content Strategy Agent (3): content-opportunity-brief (finds repeated questions and formats across YouTube, TikTok, Reddit, and X), content-strategy (turns real public demand into content pillars, a topic-cluster map, and a sequenced calendar, each topic backed by evidence), customer-research (mines authentic customer language, pains, and objections from public communities to inform messaging and content).
Social Listening Agent (2): social-listening-brief (tracks public mentions and returns a concise brief instead of a dashboard), reddit-community-research (maps subreddits, recurring questions, objections, and language for a niche).
Social Selling Agent (1): buying-signal-monitor (watches public X and LinkedIn for buying intent and returns warm leads, each anchored to the post that proves it).
Lead & Company Research Agent (2): linkedin-account-research (uses public company, post, job, and profile signals for B2B research), account-news-signals (pulls recent public news for a target account and converts each event into a dated, sourced outreach hook).
Competitive Intelligence Agent (2): competitor-launch-monitor (collects public launch signals and turns them into a competitive brief), competitor-profiling (turns a competitor's public footprint into a structured, source-cited profile covering positioning, product, pricing, and implications).
Enhanced skills, vertical agents (12 total, 2 per vertical)
Real Estate: neighborhood-guide-opportunity (finds neighbourhood-level search and content opportunities agents can own where Zillow and the portals are weak), agent-reputation-benchmark (benchmarks an agent's public reviews and local-pack presence against the nearest competitors for realtor queries).
Med Spa: med-spa-reputation-benchmark (compares a clinic's review count, rating, and velocity against the nearest competitors, described in the README as the number one med-spa local lever), treatment-demand-radar (maps treatment search demand and social trends to a clinic's service menu and content plan).
Dental: dental-reputation-benchmark (benchmarks a practice's reviews, rating, and velocity against nearby practices to explain the map-pack gap), patient-question-content (mines the real questions patients ask about a practice's services and ranks them into a content plan).
Law Firm: practice-area-rank-audit (audits a firm's rank for every practice-area plus city query and flags where thin content is the reason it is losing), attorney-reputation-benchmark (benchmarks a firm's public reviews and local-pack presence against competing firms and quantifies the gap).
Restaurant: restaurant-local-buzz (audits a venue's local-pack rank, review themes, and recent TikTok buzz for its cuisine and category), menu-demand-radar (maps demand for a venue's cuisine and dishes across local search, AI answers, and TikTok to prioritise content and promos).
Home Services: service-area-rank-audit (audits local-pack rank for a trade's service plus location queries across every city and ZIP it serves), homeowner-question-content (mines the real problem and cost questions homeowners ask about a trade's services and ranks them into a content plan).
Data skills (8 total, one per platform)
These are marked as "data" type skills rather than "enhanced" in the README table. Each is the deterministic guide to reading that platform's public data through UnifAPI: x-twitter (profiles, posts, engagement, followers, search, trends), linkedin (companies, people, jobs, posts, member insights), reddit (subreddits, threads, comments, users, trending searches), tiktok (creators, videos, comments, hashtags, music, search), youtube (channels, videos, related content, search, trending), instagram (profiles, posts, reels, comments, locations, search), hacker-news (story feeds, items, comment trees, users), threads (recent and top post search, profiles, replies).
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