Analyzes stocks with SEC EDGAR filings and market data using /analyze, /score, /compare workflows for verdicts, scorecards, and comparisons via Python tools.
From antigravity-awesome-skillsnpx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-awesome-skillsThis skill uses the workspace's default tool permissions.
LICENSEassets/nvda-deep-dive-hero.pngassets/nvda-deep-dive-scenarios.pngassets/nvda-deep-dive-thesis.pngassets/social-preview.pngexamples/nvda-analysis.mdreferences/edgar-guide.mdreferences/methodology.mdreferences/scoring.mdtests/test_edgar.pytests/test_market.pytools/edgar.pytools/market.pyDesigns and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
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/