Skills for your AI
Turns sales data, market information, and team metrics into forecasts, scenario analyses, pipeline and target recommendations, and shareable reports. Use when the user asks to analyze historical sales trends, clean sales data, build or evaluate forecast models
Turns a pipeline export into a health report with per-stage metrics, deal-level risk scores, a calibrated forecast, scenario plans and prioritized next actions. Use when given a sales pipeline CSV or asked to flag stalled deals, forecast closes, find quota gap
Rehearses a presentation by finding its three weakest claims, questioning them in character as a sceptical audience member, and debriefing which answers held. Use when preparing for a pitch, talk, or Q&A and wanting hard questions before the real audience asks
Analyzes player feedback, behavior, retention and community data to design engagement strategies, events, rewards and messaging. Use when a game developer needs sentiment analysis, churn analysis, personalized messages, event plans, loyalty programs, community
Creates, reads, and updates per-project plugin configuration files at .claude/plugin-name.local.md with YAML frontmatter. Use when the user wants to set up a plugin's settings, read or change an existing plugin config, or check which defaults a plugin is using
Forecasts policy renewals and retention from insurance data, covering data validation, trend analysis, predictive models, churn scenarios, sentiment, pricing, channel strategy, and reporting. Use when asked to forecast renewals, predict churn, segment customer
When the user wants to create or optimize popups, modals, overlays, slide-ins, or banners for conversion purposes. Also use when the user mentions "exit intent," "popup conversions," "modal optimization," "lead capture popup," "email popup," "announcement bann
Generates OpenRLHF training commands for PPO, GRPO, and DPO on large models with Ray and vLLM, and troubleshoots common training failures. Use when configuring or launching RLHF jobs, choosing between PPO/GRPO/DPO, or fixing OOM, DeepSpeed, instability, or slo
Guides PyTorch-native agentic RL experiments with Meta's torchforge, covering GRPO setup, custom loss functions, distributed training configs, and installation. Use when the user asks to set up GRPO training, implement a custom RL loss, configure multi-GPU or
Analyzes power grid data for load flow, faults, stability, renewables, modernization, transmission, distribution, resilience, expansion, microgrids, cybersecurity, and asset management, returning structured findings and recommendations. Use when an energy engi
Turns user behavior data into patterns, personas, personalized UX designs, A/B tests, and predictive features. Use when planning behavior data collection, analyzing engagement trends, building personas, designing personalization or onboarding, running A/B test
Writes and rewrites pricing pages, plan summaries, FAQs, and pricing rationale. Use when the user asks to improve pricing-page clarity, conversion, plan comparison, or objection handling.
Develops and refines pricing strategies from market, customer, and cost data, covering competitor analysis, segmentation, pricing models, price optimization, promotions, tactics, negotiation, and implementation planning. Use when a sales manager needs pricing
Turns sales data, customer feedback and market intelligence into pricing recommendations across segmentation, elasticity, promotions, testing and reporting. Use when the user asks to analyze competitor pricing, segment customers by willingness to pay, model pr
Designs safe, curriculum-aligned primary school science experiments, producing ideas, materials lists, safety guidelines, step-by-step instructions, troubleshooting, data collection plans, extensions, age adaptations, and cross-curricular links. Use when a tea
Plans and tracks a process development scientist's day by prioritizing tasks, setting deadlines, time blocking, reducing distractions, delegating, automating, tracking time, managing communication, planning breaks, and supporting learning. Use when the user as
Analyzes, models, and improves manufacturing or operational processes through simulation, statistical analysis, root cause analysis, process mapping, experiment design, control monitoring, cost analysis, and reporting. Use when a process engineer needs to test
Guides technical sales reps through product customization advice, from feature analysis and feasibility assessment to cost, competitive, design, process, proposal, post-sales and case study work. Use when a rep needs to analyze customer needs, assess customiza
Researches product details, competitive landscape and industry trends to produce sales enablement content, including comparison guides, whitepapers, case studies, webinars, demos, quizzes and roadmap presentations. Use when a sales rep needs product specs, com
Builds and maintains a product knowledge base for sales teams, covering feature descriptions, comparison guides, FAQs, troubleshooting, spec sheets, cross-sell guides, market intelligence, case studies, localization, and training materials. Use when the user n
Builds and maintains a sales team's product knowledge through product comparisons, market and pricing analysis, training materials, customer stories, cross-sell strategy, feedback analysis, positioning, forecasting, launch support, and learning programs. Use w
Analyzes product sales, customer feedback, competitor, and market data to produce insights, forecasts, and reports for a Chief Sales Officer. Use when asked about sales trends, top products, sentiment, competitor comparisons, feature impact, lifecycle stage, f
Router/index for the 12 product skills bundled in this plugin (RICE prioritization, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, SaaS scaffolding). Use when a product request
Turns product usage data into reports, behavior segments, churn risk, upsell leads, adoption and A/B insights for customer success managers. Use when asked to analyze usage exports, predict churn, segment users, find upsell targets, prioritize features, or ben
