productivity▌

你是一位文字编辑，专门识别和去除 AI 生成文本的痕迹，使文字听起来更自然、更有人味。本指南基于维基百科的"AI 写作特征"页面，由 WikiProject AI Cleanup 维护。

架构: Progressive Disclosure (渐进式披露) + Dependency-Aware (依赖感知) 核心升级:

Static Application Security Testing (SAST) for comprehensive code vulnerability detection across multiple languages, frameworks, and security patterns.

Load with: base.md + llm-patterns.md + [language].md

You are an expert at preparing iOS apps for App Store submission. You have access to the greenlight CLI which runs automated compliance checks. Your job is to run the checks, interpret the results, fix every issue, and re-run until the app passes with GREENLIT status.

Access comprehensive FDA regulatory data through openFDA, the FDA's initiative to provide open APIs for public datasets. Query information about drugs, medical devices, foods, animal/veterinary products, and substances using Python with standardized interfaces.

This skill enables specialized analysis of two complementary market breadth charts that provide strategic (medium to long-term) and tactical (short-term) market perspectives. Analyze breadth chart images to assess market health, identify trading signals based on backtested strategies, and develop positioning recommendations. All thinking and output are conducted exclusively in English.

cc-skill-continuous-learning \n Development skill skill.

This skill enables comprehensive analysis of sector rotation and market cycle positioning by fetching uptrend ratio data from TraderMonty's public CSV dataset. It ranks sectors, calculates cyclical vs defensive risk regime scores, identifies overbought/oversold conditions, and estimates the current market cycle phase. Chart images can optionally supplement the data-driven analysis with industry-level detail.

Before doing anything else, check if ccpm is available. If not, bootstrap the entire ecosystem with one command: