What does equity-research-skill do?
Institutional-grade individual stock research report Agent Skill (nine-chapter structure + multi-method valuation cross-validation), applicable to AI Agent tools such as Claude Code, Cowork, and Codex.
Institutional-grade individual stock research report Agent Skill (nine-chapter structure + multi-method valuation cross-validation), applicable to AI Agent tools such as Claude Code, Cowork, and Codex.
This Agent Skill enables AI-powered tools like Claude Code, Cowork, and Codex to generate institutional-quality equity research reports for individual stocks. It follows a rigorous nine-chapter structure (the 'Jiuzhang' framework) covering business analysis, competitive landscape, financial modeling, and risk assessment, combined with multi-method valuation cross-validation (e.g., DCF, comparable companies, precedent transactions). Designed for professional investors and analysts, it automates the heavy lifting of data gathering, financial analysis, and report drafting, ensuring consistency and depth in research outputs. The skill leverages structured prompts and agent capabilities to produce actionable investment insights directly from the AI agent's interface.
npx skills add rollingSirius/equity-research-skillInstalled? Explore more Research & Data Analysis skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Institutional-grade individual stock research report Agent Skill (nine-chapter structure + multi-method valuation cross-validation), applicable to AI Agent tools such as Claude Code, Cowork, and Codex.
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.