| name | financials-normalizer |
| description | Use when normalizing public-company financials from source materials. Do not use for private data rooms or non-financial cleanup. |
Financials Normalizer
Skill Configuration
User Context Preflight
Before searching connectors, retrieving evidence, or drafting output, run python3 skills/user-context/scripts/user_context_preflight.py with the shell working directory set to this plugin's root, and follow the returned saved_context, source_category_plan, and next_action. Set the working directory before the first attempt; do not probe alternate relative paths. Missing context must not block the requested workflow. Do not initialize state or run onboarding during ordinary workflow work.
If next_action.id = "offer_orientation" and the parent router has not already handled it, complete the requested work first and append its one-line optional setup offer once.
Source Resolution
Load ../../shared/workflow-source-resolution.md. Use source_category_plan lazily and attempt only the categories needed for this workflow: company_filings_ir, earnings_transcripts_presentations, internal_research, portfolio_models_trackers, and market_data_estimates.
Deliverable Intake
Apply the presentation-surface precedence in ../../shared/deliverable-intake-policy.md. This workflow's natural artifact is an XLSX normalization workbook. Do not choose chat-only output unless the user explicitly requests a lightweight response.
When invoked as support for an owning workflow, inherit its resolved deliverable preferences and do not re-prompt. Only when this skill independently owns a new standalone reader-facing normalization deliverable should it, before source gathering, analysis, or rendering, load ../../shared/deliverable-intake-policy.md and perform its adaptive request_user_input preflight for materially unresolved preferences.
Purpose
Load shared/equity-research-support-standard.md and shared/support-layer-routing-contract.md before substantial source, data, QA, or style work.
Turn messy public-company source financials into auditable, model-ready normalized statements, KPI schedules, consensus/guidance inputs, segment schedules, share-count support, net-debt and capital-allocation support, source citations, assumptions, conflicts, and QA flags for downstream Public Equity Investing workflows.
Boundary: shipped scripts create Source_Index.csv, Normalized_Financials_Long.csv, and Normalization_Issues.csv. Wide statements, KPI schedules, adjustment logs, conflict logs, assumption registers, and workbook/deck-ready tabs are instruction-led unless explicitly built from staging data.
For a standalone request for model-ready normalized financials, do not treat a long-form staging CSV alone as the analyst deliverable. Create a model-loading package from the staged rows: full-scope wide schedules relevant to the supplied financials, a disclosure/comparability bridge when definitions or presentation changed, material QA flags, and logged validation checks. Use XLSX when the user requests a workbook or will load/review the output in a workbook; otherwise a clearly organized CSV package plus a concise review summary is appropriate. This is a data-first skill; do not force an HTML artifact unless the user requests one.
Embedded Support Routing
This is an embedded service under the owning workflow unless the user explicitly asks for standalone normalization. Preserve the owning_workflow internally, such as equity-model-update, dcf-model-builder, three-statement-model-builder, comps-valuation, earnings-preview, earnings-deep-dive, memo-builder, thesis-tracker, scenario-sensitivity-generator, portfolio-risk-management, or dashboard-builder.
For substantial embedded work, preserve decision_impact, readiness_effect, artifact_role, and hidden_unless_requested in internal context or support artifacts. Do not print those internal field names in the owning workflow's user-facing artifact. Do not own the valuation, memo, earnings, or recommendation; state in natural language how normalization issues change estimate confidence, valuation support, target support, sizing, model readiness, or circulation readiness. Source_Index.csv, Normalized_Financials_Long.csv, Normalization_Issues.csv, run logs, manifests, and support notes are secondary/support artifacts when invoked by an owning workflow.
Non-Negotiables
- Preserve raw/source materials.
- Prefer user files/context, callable runtime apps/connectors when actually available, primary public sources, user-provided provider exports, then labeled assumptions. Never imply live provider access when it is unavailable.
- Never invent missing financials; mark unavailable values as
missing_required_source.
- Keep normalized values traceable to source ID, source name/location, retrieved-at date, period, units, currency, and evidence label.
- Missing
source_id must remain visible as SRC-UNSPECIFIED, produce a QA flag, and block decision-grade handoff.
- Retain conflicts rather than silently choosing values.
- Flag stale, preliminary, unaudited, OCR-derived, or low-confidence data.
- Do not infer fiscal period-end dates from quarter labels alone; use an explicit source date or mark the date missing and flag it.
- Keep issuer outlook or guidance in
kpi_schedule with issuer_management_claim; reserve consensus_estimate with estimate_consensus for externally sourced consensus estimates.
- When a segment, KPI, non-GAAP definition, or balance-sheet presentation changes, preserve both bases and create a comparability bridge before calling any series model-loadable.
- Apply comparability status at the affected series or line-item level. A changed cash presentation does not recast unrelated balance-sheet rows.
- Use
comparable_rounded when an unchanged reported series is comparable across periods but only available in rounded narrative units; disclose that it is unsuitable for exact tie-out.
- Do not backsolve an undisclosed comparable value from rounded amounts or percentage growth for model loading. A labeled directional calculation may appear separately only when useful.
- Material open exceptions must be surfaced in
QA_Flags and in the readiness summary; an empty technical Normalization_Issues file does not mean the financials are clear for downstream use.
Workflow
- Classify job. Public-equity issuer financials, earnings/model update, consensus/provider export, ETF/index constituent support, portfolio/market-data support, or equity-risk debt/liquidity context.
- Build source index. Capture source ID, name/type, owner/provider, period, as-of date, retrieved-at date, location, source rank, freshness, and notes.
- Extract long-form staging. Use
Normalized_Financials_Long before wide statements; preserve original line labels beside canonical labels.
- Normalize periods, scale, currency, signs, and labels. Keep reported, adjusted, pro forma, provider-standardized, estimated, and analyst-adjusted values separate.
- Reconcile disclosure changes. Identify renamed, regrouped, newly introduced, discontinued, recast, or definition-changed segments/KPIs/non-GAAP lines; preserve legacy and new bases; create a disclosure/comparability bridge with model treatment.
- Reconcile and QA. Check subtotals, roll-forwards, balance sheet balance, cash flow bridge, units/currency, duplicate periods, missing sources, stale/conflicting values, signs, unsupported KPIs, and completeness of the intended model-loading scope. Log performed checks and results; do not claim a check count that is not preserved in an output.
- Produce package. For standalone model-ready work, produce loadable wide schedules plus
QA_Flags and Validation_Checks from the audited staging layer; include a disclosure/comparability bridge whenever presentation changed. For narrower extraction/support work, return only the deterministic CSV outputs or instruction-led tabs actually created.
- Hand off. State what is loadable, what is audit-only, and what remains partial or blocked before routing to models, earnings, comps, memo, thesis, scenario, risk, ETF/index, or deck/report skills. Route covenant/recovery/debt-security normalization to Credit Markets.
Sub-agent decomposition
For complex medium/large requests, use sub-agents where available; otherwise emulate the split as named workstreams. Suggested lanes: source inventory, line-item mapping, period/unit normalization, conflict log, and QA. Keep this skill as the lead: reconcile conflicts, source labels, assumptions, open items, final QA, and the user-facing answer.
When embedded in a broader workflow, "lead" means lead for normalization only; the owning workflow remains the investment-artifact owner.
Evidence Labels
Use exact labels from references/normalization-schema.md, including fact_source_reported, fact_provider_standardized, derived_calculation, issuer_management_claim, management_adjusted, analyst_adjusted, analyst_interpretation, assumption_user_provided, assumption_inferred, estimate_consensus, stale_source, contradicted_source, missing_required_source, and unknown.
Confidence labels are high, medium, or low.
Scripts
python scripts/normalize_extracted_financials.py path/to/input.csv --output-dir output
python scripts/validate_normalized_financials.py output/Normalized_Financials_Long.csv
For workbook inputs, first extract the relevant tab/range with spreadsheet tools into a table/CSV; scripts must not destructively modify workbooks.
Final Response
Return:
- what was normalized: entity, sources, periods, units, currency, scope;
- outputs created;
- what can be loaded into a model and what remains audit-only, partial, or blocked;
- material QA findings and disclosure/comparability breaks;
- fact versus assumption summary and validation checks actually performed;
- recommended next step or missing source.
Reference Map
references/source-protocol.md: hierarchy, stale data, citations, conflicts.references/normalization-schema.md: output schema, signs, scales, labels.references/line-item-taxonomy.md: statement/KPI mappings.references/qa-rules.md: reconciliation tests and red flags.references/integration-guide.md: downstream Public Equity Investing handoffs.
