SuperAPI AI Directory

financial-snapshot-analysis

General & other

View repository

Updated 10-15 22:16

About this skill

Financial Snapshot Analysis

Use this skill to turn filings, earnings releases, and market data into a compact financial view. It should produce reusable tables and identify metric gaps, not make a standalone buy or sell call.

Workflow

  1. Load the target profile and existing financial evidence.
  2. Collect recent annual, quarterly, and trailing-twelve-month metrics.
  3. Separate reported, adjusted, consensus, and estimated numbers.
  4. Compute basic trends only when inputs are clear.
  5. Compare metrics against peer or historical ranges when available.
  6. Save the snapshot under research/targets/<target>/evidence/market/ or research/targets/<target>/evidence/filings/ depending on source.
  7. Hand off key metric deltas to thesis and risk skills.

Read references/metric-map.md before deciding which metrics to collect.

Output

Return:

  • metric table with period labels and sources
  • trend summary across revenue, margin, cash flow, capex, debt, and valuation
  • guidance and consensus notes, clearly labeled
  • data-quality gaps and stale metrics
  • peer or historical comparison notes
  • archive files created or updated

Quality Gate

Before finishing:

  • state the currency and period for every major metric
  • do not mix GAAP, non-GAAP, and estimated values without labels
  • include source links or archive paths for material numbers
  • avoid precision that source data does not support
  • label stale market prices, multiples, and analyst estimates