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Found 335 Skills
Investigates hypotheses that MEV activity (bundles, searchers, same-block ordering) temporally overlaps or co-occurs with launch-phase rug signals—using public txs, bundle IDs, and clustering with explicit confidence. Use when the user asks about MEV plus rug coordination, launch sniper bundles, Jito or Flashbots overlap with dev exits, or joint profit-flow case studies—not for alleging collusion without evidence, harassing addresses, or live interference.
Monitor buyer intent signals across the web including job postings, tech changes, funding rounds, and leadership changes. Alerts when prospects show buying signals and prioritizes "hot" accounts. Use for timing-based prospecting.
Migrates Temporal, Inngest, Trigger.dev, and AWS Step Functions workflows to the Workflow SDK. Use when porting Activities, Workers, Signals, step.run(), step.waitForEvent(), Trigger.dev tasks / wait.forToken / triggerAndWait, ASL JSON state machines, Task/Choice/Wait/Parallel states, task tokens, or child workflows.
Operate Binance Web3 public market and research APIs through UXC with a curated OpenAPI schema. Use when tasks need token search, token metadata/market snapshots, address holdings, rankings, token audit, or smart money signals on Binance Web3.
12-Factor App patterns for deployable applications. Use when configuring environment variables, connecting to backing services, structuring application startup/shutdown, or handling graceful shutdown and process signals. Applies to any deployed application (services, APIs, frontends, workers). Server-specific factors (port binding, concurrency, disposability) apply only to backend services.
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).
Offer a structured but non-clinical space for a PhD student or researcher to check in on their mental and emotional state, especially around imposter syndrome, guilt about rest, chronic over-promising, and burnout signals. Use this skill when the user expresses feelings of inadequacy, constant comparison to peers, fear of disappointing their advisor, guilt about taking time off, or exhaustion that isn't just physical. Trigger on phrases like "I feel behind", "everyone is smarter than me", "I can't rest", "I'm burned out", "imposter syndrome", "I'm not good enough", "I'm afraid of disappointing", "I should be working", or whenever the tone of the user's message suggests emotional strain rather than a technical question. Also trigger gently if these signals appear incidentally in a task-focused conversation.
Research Google Trends search-intent signals for topic discovery, keyword momentum, regional interest, and rising queries without treating search trends as the same thing as platform content heat or marketplace demand.
Research Xiaohongshu accounts from validated recent-post surfaces, then aggregate account-level content signals without pretending follower or bio metrics are available when the validated profile actor is empty.
Research TikTok Creative Center or ad-library style datasets for winning ad patterns, regions, objectives, hook language, and creative signals without mixing paid ads with organic creator discovery.
Generative Engine Optimization review: evaluate your content's visibility to AI-powered search engines — citation-worthiness, content structure, authority signals, llms.txt, entity clarity, and AI retrieval readiness.