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Route a research question, gather grounded evidence, and write a cited brief. Usage /brief "<question>"
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Value a public company's equity end-to-end (FCFE at CAPM cost of equity) with an IB deal team — multi-year EDGAR data, scenario forecasting, Monte-Carlo DCF, dual-source comps, a verification gate, and an investment-committee sign-off. Run `/valuation <cik|ticker>`.
Value a public company end-to-end from its CIK or ticker. Run `/valuation <cik|ticker>`. Orchestrates EDGAR fetch, three parallel valuation lanes (Monte-Carlo DCF, dual-source comparables, qualitative/risk), and reconciliation into a fair-value median + P10–P90, benchmarked against the real market price.
Generate a professional 2-page report on a publicly-traded company as a self-contained HTML website. Given a company name, orchestrates five subagents in order (Generalist, Data Retriever, Data Scientist, Financial Analyst, Report Writer) — pulling the latest 10-K from SEC EDGAR, cleaning the financials, analyzing them, and writing the report. Use when the user asks for a company report, equity write-up, or 10-K-based analysis. Triggers include "write a report on <company>", "company report for <X>", "/company-report".
One sentence on what this command does and when to invoke it. Usage /my-skill "<arg>"
Answer a question about the bundled NovaCorp filings, grounded and graded. Usage /ask "<question>"
Run a finance text task through the general and finance-domain classifiers, score both against gold labels, and report which wins and why. Usage /compare
| name | brief |
| description | Route a research question, gather grounded evidence, and write a cited brief. Usage /brief "<question>" |
Run the route → gather → write loop and save a cited research brief.
python -m tools.route "<question>" → note the route.metrics: python -m tools.metrics "<metric name>" > reports/_evidence.jsonfilings / news: python -m tools.retrieve "<question>" --source <route> -k 3 > reports/_evidence.jsonreports/_evidence.json and write a brief that cites
a source for every claim. If the evidence does not answer the question (metrics
found: false, or no on-topic snippet), write "Not answerable from the available sources."metrics lookup for the figure and a filings retrieval for the explanation — and
cite both.reports/<slug>.md:
Try these to start:
/brief "What was Meridian's gross margin in fiscal 2025?" ← routes to metrics/brief "What supply chain risks does Meridian disclose?" ← routes to filings/brief "What partnership did Meridian recently announce?" ← routes to news/brief "What is Meridian's dividend yield?" ← not in the table; must say so.