From antigravity-awesome-skills
Produces verdict-style equity memos, four-pillar scorecards, and ticker comparisons using public SEC EDGAR filings and market data via /analyze, /score, /compare.
npx claudepluginhub sickn33/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.
Produces verdict-style equity memos, four-pillar scorecards, and ticker comparisons using public SEC EDGAR filings and market data via /analyze, /score, /compare.
Generates equity research snapshots from IBES consensus estimates, company fundamentals, historical prices, and macro data. For stock research, estimate vs actuals, financial analysis, valuations, investment theses.
Analyzes stocks, companies, and market sentiment using Yahoo Finance data and AI news synthesis. Delivers investment ratings, financial health metrics, and Firebase-persisted reports. Invoke via /market ticker.
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/