Enter an A-share stock code, use akshare to pull public data, and produce a neutral post-event review report (suitable for WeChat public accounts / Toutiao posting, V2 minimalist data control). Built-in financial compliance guardrails: no stock recommendations, no predictions, automatic risk warning bar.
This skill, 'huiyonghkw/hekouwang-stock-data-reader-skill', allows an AI agent or developer to input a Chinese A-share stock code and automatically retrieve public financial data via the akshare library. It then generates a neutral, post-event review report designed for social media platforms like WeChat public accounts and Toutiao, adhering to a 'V2' minimalist data control style. The tool is embedded with essential financial compliance safeguards: it avoids stock recommendations, does not make predictions, and automatically appends a risk warning bar. This is ideal for developers or content creators who need a quick, data-driven, and regulation-compliant summary of a stock's performance without subjective analysis. The skill supports platforms that can run Python and akshare, and its output is ready for publication.
npx skills add huiyonghkw/hekouwang-stock-data-reader-skillInstalled? Explore more Research & Data Analysis skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Enter an A-share stock code, use akshare to pull public data, and produce a neutral post-event review report (suitable for WeChat public accounts / Toutiao posting, V2 minimalist data control). Built-in financial compliance guardrails: no stock recommendations, no predictions, automatic risk warning bar. Huiyong Hekouwang · Individual Stock Public Data Quick Reader Skill.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.