Explore original Thrive skills for Claude Code, Codex, and Gemini CLI. Preview, copy, or download the instructions you need.
Agent Launcher Orchestrator: Plan a managed AI agent from discovery through launch and review. Review the job to automate, account boundary, tool permissions, budget, and owner and produce an agent launch plan with gates and owners.
Grade Iterate: Improve an agent using a bounded evaluation loop. Review a fixed evaluation set, rubric, baseline results, and failure examples and produce an evaluation record with the next decision.
Interview: Define the job for a managed AI agent before implementation. Review the user's goal, recurring inputs, permissible actions, and failure costs and produce an agent build brief with acceptance cases.
Run Without You: Operate an evaluated agent on a schedule or trigger. Review the approved agent version, run frequency, budget, owner, and alert path and produce an operating plan with trigger and recovery steps.
Stage Launch: Prepare a managed agent for a controlled first launch. Review the approved build brief, account access, tool scopes, and test environment and produce a launch checklist with rollback and owner.
Wrap Up: Hand over a working managed agent. Review the deployed version, test results, operating owner, and known limitations and produce a concise agent handoff and improvement backlog.
Business Growth Skills: Choose a fitting growth workflow. Review the commercial goal, customer stage, revenue data, and bottleneck and produce a growth workflow recommendation with owner.
Contract And Proposal Writer: Draft a business proposal or contract outline. Review the parties, scope, price, milestones, jurisdiction, and approval process and produce a structured draft with assumptions and open terms.
Customer Success Manager: Improve retention for a defined customer segment. Review account health signals, usage, renewal date, support history, and owner and produce a customer action plan with signal and owner.
Revenue Operations: Diagnose pipeline and forecast performance. Review stage definitions, bookings history, conversion rates, and revenue targets and produce a revenue operations analysis with corrective actions.
Sales Engineer: Support a technical sales evaluation. Review buyer requirements, product capabilities, constraints, and proof criteria and produce a requirement matrix and proof plan.
Business Operations Skills: Choose a fitting operations workflow. Review the process, owner, volume, risk, and current failure and produce an operations workflow recommendation.
Capacity Planner: Estimate operational capacity and staffing needs. Review arrival volume, work time, service levels, utilization, and seasonality and produce a capacity model with staffing options.
Internal Comms: Plan an internal change announcement. Review the change, affected groups, timing, owner, and questions employees may ask and produce a communication plan and message draft.
Knowledge Ops: Maintain usable internal knowledge. Review the recurring task, current documents, owner, and failure points and produce a maintained SOP with owner and review date.
Process Mapper: Map an end-to-end business process. Review the trigger, inputs, actors, handoffs, systems, and outcome and produce a process map with changes and owners.
Procurement Optimizer: Reduce avoidable software purchasing cost. Review vendor spend, usage, renewals, terms, and internal owners and produce a procurement plan with quantified options.
Vendor Management: Review a vendor relationship. Review contract terms, service data, incidents, cost, and business dependency and produce a vendor review with decisions and follow-up owners.
Company Operating Architecture: Strengthen an operating or strategic system. Review the current practice, affected teams, incentives, and observed friction and produce an operating recommendation with adoption measures.
Chief AI Officer Advisor: Set an accountable AI adoption priority. Review AI use cases, data rights, model risks, evaluation evidence, operating cost, and owners and produce an AI portfolio decision with evaluation gates, owners, and monitoring.
Chief Customer Officer Advisor: Improve customer outcomes across service and retention. Review customer journey, support themes, churn drivers, service levels, and account economics and produce a customer experience decision memo with owner, metric, and follow-up.
Chief Data Officer Advisor: Prioritize data governance and data product work. Review data ownership, quality, lineage, access controls, user decisions, and platform cost and produce a data strategy decision with owners, quality measures, and adoption path.
Board Prep: Prepare a board decision and supporting evidence. Review agenda, board questions, prior commitments, financials, risks, and decisions required and produce a board brief with decision asks, evidence, risks, and accountable follow-up.
Challenge: Test a business plan before commitment. Review the plan, claimed outcomes, assumptions, dependencies, and alternatives and produce a pre-mortem with ranked assumptions.