From antigravity-awesome-skills
Thesis-driven equity analysis from public SEC EDGAR and market data; /analyze, /score, /compare workflows with bundled Python tools (Claude Code, Cursor, Codex).
npx claudepluginhub mit-network/antigravity-awesome-skillsThis skill uses the workspace's default tool permissions.
Use this skill to produce institutional-depth stock analysis in Claude Code using public EDGAR + market data.
Mandates invoking relevant skills via tools before any response in coding sessions. Covers access, priorities, and adaptations for Claude Code, Copilot CLI, Gemini CLI.
Share bugs, ideas, or general feedback.
Use this skill to produce institutional-depth stock analysis in Claude Code using public EDGAR + market data.
/compare and need a structured differential, not a prose-only chat answer./analyze {ticker}Run full skill workflow:
tools/edgar.py.tools/market.py.references/methodology.md.references/scoring.md./score {ticker}Run score-only workflow:
/compare {ticker1} vs {ticker2}Run side-by-side workflow:
/score logic for both tickers.For /analyze {ticker} use this shape:
Verdict (Constructive / Neutral / Cautious)Conviction Rationale (3-5 bullets)XVARY Scores (Momentum, Stability, Financial Health, Upside)Thesis Pillars (3-5 pillars)Top Risks (3 items)Kill Criteria (thesis-invalidating conditions)Financial Snapshot (revenue, margin proxy, cash flow, leverage snapshot)Next Checks (what to watch over next 1-2 quarters)For /score {ticker} use this shape:
For /compare {ticker1} vs {ticker2} use this shape:
references/methodology.mdreferences/scoring.mdreferences/edgar-guide.mdtools/edgar.pytools/market.pyIf a tool call fails, state exactly what data is missing and continue with available inputs. Do not hallucinate missing figures.
Powered by XVARY Research | Full deep dive: xvary.com/stock/{ticker}/deep-dive/