Total 35,344 skills
Showing 12 of 35344 skills
Build real-time voting and polling systems with PubNub
Search Linear issues and projects. Use when finding issues, looking up bugs, or searching the backlog.
Analyzes PRD documents, concept briefs, or feature specs and creates structured implementation plans with visual kanban tracking. Breaks requirements into epics, stories, and tasks with dependencies and estimates. Outputs to `.claude/` folder for integration with project-harness and other skills. Generates PROJECT.md for shared project context.
Comprehensive guide for FinLab quantitative trading package for Taiwan stock market (台股). Use when working with trading strategies, backtesting, Taiwan stock data, FinLabDataFrame, factor analysis, stock selection, or when the user mentions FinLab, trading, 回測, 策略, 台股, quant trading, or stock market analysis. Includes data access, strategy development, backtesting workflows, and best practices.
Manages cross-session knowledge persistence. Triggers on "remember", "recall", "what did we", "save this decision", "todo", or session handoff.
Use Shopify Polaris Web Components (s-* custom elements) for App Home UI. Use when building App Home surfaces (not embedded apps), designing UI with s-page, s-section, s-stack, s-box, s-button, and other s-* components. Do not use @shopify/polaris React - App Home requires Web Components.
Generate comprehensive Product Requirement Plans (PRPs) for feature implementation with thorough codebase analysis and external research. Use when the user requests a PRP, PRD, or detailed implementation plan for a new feature. Conducts systematic research, identifies patterns, and creates executable validation gates for one-pass implementation success.
This skill should be used when the user asks to "create a stack", "submit stacked PRs", "gt submit", "gt create", "reorganize branches", "fix stack corruption", or mentions Graphite, stacked PRs, gt commands, or trunk-based development workflows.
Operational patterns, templates, and decision rules for time series forecasting (modern best practices): tree-based methods (LightGBM), deep learning (Transformers, RNNs), future-guided learning, temporal validation, feature engineering, generative TS (Chronos), and production deployment. Emphasizes explainability, long-term dependency handling, and adaptive forecasting.
Execute AdCP Signals Protocol operations with signal agents - discover audience signals using natural language and activate them on DSPs or sales agents. Use when users want to find targeting data, activate audience segments, or work with signal providers.
Create and validate product requirements documents (PRD). Use when writing requirements, defining user stories, specifying acceptance criteria, analyzing user needs, or working on product-requirements.md files in docs/specs/. Includes validation checklist, iterative cycle pattern, and multi-angle review process.
Automate payer review of prior authorization (PA) requests. This skill should be used when users say "Review this PA request", "Process prior authorization for [procedure]", "Assess medical necessity", "Generate PA decision", or when processing clinical documentation for coverage policy validation and authorization decisions.