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Found 74 Skills
Plan and manage cash flow to ensure adequate liquidity while minimizing opportunity cost of excess cash. Use when the user asks about cash flow forecasting, CD or bond laddering, liquidity tiers, income smoothing for variable earners, or sweep strategies. Also trigger when users mention 'T-bill ladder', 'where to park cash', 'irregular income budgeting', 'freelancer cash management', 'lumpy expenses', 'liquidity ratio', 'how much cash to hold', or ask how to plan for large upcoming expenses.
Grafana Cloud AI and ML features — Grafana Assistant (natural language queries, dashboard generation, incident investigations), Dynamic Alerting (ML forecasting and outlier detection), Sift (automated root cause analysis with 8 analysis types), Knowledge Graph (entity discovery and RCA Workbench), and the LLM Plugin (OpenAI/Anthropic/Azure integration). Use when setting up AI-powered alerting, using natural language to query metrics/logs, automating incident investigation, or integrating LLMs with Grafana panels and workflows.
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).
Inventory management for TikTok Shop — demand forecasting, viral stock planning, FBT optimization
Helps engineering managers plan roadmaps, prioritize work, and communicate priorities effectively — produces the 20% tech debt framework (and its 5 traps), a phased release pressure-test, a maintenance cost model, the Always Green delivery method, sprint anti-patterns, hidden costs of custom features, a critical deadline playbook, the Iron Law of Projects with reference-class forecasting, a "no technical projects" framing, and feature factory warning signs. Use when the user says "roadmap," "quarterly planning," "OKRs," "prioritization," "what should we work on," "planning cycle," "backlog grooming," "stakeholder alignment," "capacity planning," "technical debt," "we're always late," or "leadership doesn't understand engineering work."
Expert sales strategy and operations guidance for B2B SaaS companies. Use when designing sales processes, implementing qualification frameworks (MEDDIC, BANT, SPICED), territory planning, forecasting, quota setting, compensation design, or optimizing pipeline velocity. Covers sales methodology, org structure, tech stack selection, win rate analysis, and deal acceleration strategies.
Advanced Scrum Master with data-driven team health analysis, velocity forecasting, retrospective insights, and team development expertise. Features comprehensive sprint health scoring, Monte Carlo forecasting, and psychological safety frameworks for high-performing agile teams.
Codified expertise for demand forecasting, safety stock optimisation, replenishment planning, and promotional lift estimation at multi-location retailers.
Use when modeling unit economics, calculating burn rate, building financial projections, pricing analysis, revenue forecasting, or any CFO-level financial decisions
Google Ads math and forecasting calculations. Activate when the user asks about budget projections, ROAS calculations, CPA targets, conversion forecasts, impression share opportunity, or any PPC-related math. No API credentials needed — works with numbers the user provides.
Combine multiple forecasting models into ensemble predictions for improved accuracy. Use this skill when the user needs to improve forecast reliability, combine ARIMA/Prophet/ETS outputs, or build a robust forecasting pipeline — even if they say 'combine forecasts', 'model averaging', or 'which forecast should I trust'.
Use these skills when you need to handle advanced data intelligence and predictive tasks. Use when a user asks "why" data changed or needs future projections. Provides automated insight generation and time-series forecasting.