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Found 400 Skills
Transform GWAS signals into actionable drug targets and repurposing opportunities. Performs locus-to-gene mapping, target druggability assessment, existing drug identification, safety profile evaluation, and clinical trial matching. Use when discovering drug targets from GWAS data, finding drug repurposing opportunities from genetic associations, or translating GWAS findings into therapeutic leads.
Perform technical analysis on stock K-line data, calculate indicators such as MA/MACD/RSI, and judge trends and trading signals. Trigger scenarios: (1) "Analyze the technical aspects of Moutai" (2) "Check if this stock is buyable" (3) "Technical analysis 600519" (4) Used when needing to judge stock trends and trading points. Need to use data-collect to obtain data first
Generate personalized outreach messages using Common Room signals. Triggers on 'draft outreach to [person]', 'write an email to [name]', 'compose a message for [contact]', or any outreach drafting request.
Detect crisis signals in user content using NLP, mental health sentiment analysis, and safe intervention protocols. Implements suicide ideation detection, automated escalation, and crisis resource integration. Use for mental health apps, recovery platforms, support communities. Activate on "crisis detection", "suicide prevention", "mental health NLP", "intervention protocol". NOT for general sentiment analysis, medical diagnosis, or replacing professional help.
Use this skill when implementing on-page SEO fixes in code - meta tags, title tags, heading structure, internal linking, image optimization, semantic HTML, Open Graph and Twitter card tags, and framework-specific SEO patterns. Covers Next.js Metadata API and generateMetadata, Nuxt useSeoMeta, Astro SEO patterns, and Remix meta function. Triggers on any hands-on code task to improve a page's on-site SEO signals.
Designated Publisher for aibtc.news: review signals, curate the front page, compile and inscribe the daily brief, manage treasury and payouts
Integrates Kelet into AI applications end-to-end: instruments agentic flows with OTEL tracing, maps session boundaries, adds user feedback signals (VoteFeedback, edit tracking, coded behavioral hooks), generates synthetic signal evaluator deeplinks, and verifies the integration. Kelet is an AI agent that performs Root Cause Analysis on AI app failures — it ingests traces and signals, clusters failure patterns, and suggests fixes. Use when the developer mentions Kelet or asks to integrate, set up, instrument, or add tracing/signals/feedback to their AI app. Triggers on: "integrate Kelet", "set up Kelet", "add Kelet", "instrument my agent", "connect Kelet", "use Kelet".
Clay platform help — Waterfall Enrichment (150+ data providers), Claygent (AI Research Agents), Sculptor (workflow builder), Signals (job changes, intent), Audiences, Ad Sync (LinkedIn/Meta/Google), Email Sequencer, CRM Sync (Salesforce/HubSpot/Dynamics), HTTP API actions, webhooks. Use when asking 'how do I set up Clay', 'Clay waterfall enrichment', 'Clay Claygent', 'Clay Sculptor workflows', 'Clay signals', 'Clay audiences', 'Clay ad sync', 'Clay sequencer', 'Clay CRM sync', 'Clay webhooks', 'Clay vs Apollo'. Do NOT use for enrichment strategy across tools (use /sales-enrich), cadence/sequence strategy across tools (use /sales-cadence), intent signal strategy across tools (use /sales-intent), B2B advertising strategy across tools (use /sales-b2b-advertising), or CRM data hygiene strategy across tools (use /sales-data-hygiene).
Predicts client renewal likelihood based on health score signals. Analyzes engagement, support, adoption, satisfaction, billing, stakeholder, and usage data to calculate a weighted Health Score (0-100), classify renewal risk, and generate a prioritized action plan with early warning signals and recommended save plays.
Develops digital marketing strategies for clients whose target audience spans multiple generational cohorts — calibrating content format, platform choice, trust signals, and tone to the distinct digital behaviours of Generation Z, Millennials, Generation X, and Baby Boomers. Invoke when a client's audience includes customers aged 18–65+ and current messaging is failing to resonate with one or more generational segments, or when launching a product or service that must appeal across multiple age groups simultaneously.
Extract conversation skeleton or error signals from a single session file at a given path. Invoked by session-research agents after they have selected which sessions to deep-dive — not intended for direct user queries.
MaxIQ platform help — AI-native revenue intelligence with EchoIQ conversation intelligence, InspectIQ pipeline visibility, ForecastIQ AI-driven forecasting, 9 AI agents (NoteTaker, Radar, Summarizer, Coach, Taskmaster, Watchdog, Forecaster, Revenue Planner, Deal Mapper), usage-based pricing (no per-seat), Salesforce/HubSpot CRM sync. Use when EchoIQ not capturing all meeting types, AI Coach scoring criteria not matching your sales process, CRM fields not auto-populating from calls, InspectIQ deal signals seem inaccurate, ForecastIQ predictions not matching reality, comparing MaxIQ vs Gong vs Clari for revenue intelligence, setting up AI Radar keyword tracking, or evaluating usage-based CI pricing vs per-seat alternatives. Do NOT use for designing outbound cadences (use /sales-cadence) or cross-platform coaching programs (use /sales-coaching).