productivity▌

Write and validate EAS CI/CD workflow YAML files for Expo projects. \n \n Fetches the latest JSON schema from Expo's API to ensure job types, parameters, triggers, and runner configurations are current \n Supports dynamic expressions using ${{ }} syntax with contexts for GitHub events, workflow inputs, job outputs, and step results \n Includes built-in validation script that checks workflow structure against the schema and reports errors before deployment \n Provides reference documentation for

前置条件： 先阅读 ../lark-shared/SKILL.md。 执行前必做： 执行任何 base 命令前，必须先阅读对应命令的 reference 文档，再调用命令。 命名约定： 仅使用 lark-cli base +... 形式的命令。

Multi-chain wallet operations for EVM and Solana with balance queries, transfers, signing, and transaction history. \n \n Supports 13 tools across EVM (Ethereum, Base, Arbitrum, Optimism, Polygon, Linea) and Solana, including balance checks, fund transfers, message signing, and transaction history \n Use wallet_get_all_balances() for complete portfolio visibility across all chains with USD values in a single call \n Transfers are policy-gated by Privy TEE — only whitelisted addresses and amounts

AI agent architecture for anticipating needs, surviving context loss, and continuous self-improvement. \n \n Implements Write-Ahead Logging (WAL) Protocol to capture corrections, decisions, and preferences before responding, ensuring critical details persist across sessions \n Three-tier memory system (SESSION-STATE.md, daily logs, curated MEMORY.md) with Working Buffer for context survival during compaction and Compaction Recovery for seamless resumption \n Proactive behavior patterns including

Route through domain routers before using individual tools. Routers abstract tool selection.

Download Douyin videos and extract metadata using browser automation. \n \n Supports both short links (v.douyin.com) and full Douyin URLs for video retrieval \n Extracts video metadata including title, author, and engagement statistics \n Offers flexible output modes: full video download or metadata-only extraction with custom output directories \n Requires one-time interactive login setup to establish authenticated browser session \n

Statistical modeling, experimentation, causal inference, and production ML systems for data-driven decision-making. \n \n Covers experiment design, A/B testing, feature engineering, model evaluation, and causal analysis with Python, R, SQL, and Scala \n Includes production patterns for scalable data processing, ML model deployment, and real-time inference with monitoring and drift detection \n Supports MLOps best practices: automated retraining, feature stores, model serving, canary deployments,

Read Tool: Read file contents

Provide actionable treatment recommendations for cancer patients based on their molecular profile using CIViC, ClinVar, OpenTargets, ClinicalTrials.gov, and structure-based analysis.

Clear, effective data visualizations with chart selection rules, design principles, and storytelling techniques. \n \n Covers 10+ chart types with decision rules for when to use each (line for time series, bar for comparison, scatter for correlation, heatmap for patterns) \n Design guidelines for axes, color theory, typography, and annotations including colorblind-safe palettes and a strong stance against pie charts \n Includes ready-to-run Python/matplotlib recipes for line charts, bar charts,