Xlsx financials
Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered by agentii.ai data plane. Works with Claude Code, OpenCode, Codex, OpenClaw, Goose.
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Produce formatted .xlsx financial statement workbooks from XBRL statement data. Uses Bash + openpyxl (Python) following Anthropic FSI xlsx-author conventions for professional Excel output with calculation arc cross-validation.
SKILL.md
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xlsx-financials
Shared skill for producing formatted Excel workbooks from XBRL financial statement data. Invoked as a sub-skill by financial modeling and analysis skills. Centralizes formatting, formula auditing, and calculation arc cross-validation in one place.
Triggers
- Produce Excel financial statements for {ticker}
- Generate .xlsx workbook from XBRL data
- Export income statement to Excel
- Export balance sheet to Excel
- Export cash flow statement to Excel
- Render financial statements as spreadsheet
- Create formatted financial workbook
- Build .xlsx from get_statement output
- Financial model Excel export
- Statement Excel output
Defaults
| Parameter | Default | Notes |
|---|---|---|
| statement_type | income_statement | income_statement, balance_sheet, cash_flow, equity, oci |
| fiscal_year | (latest available) | Integer year |
| include_calculations | true | Include calculation arc weights for cross-validation |
Methodology
Retrieval Scope
structured_only — this skill wraps the XBRL get_statement endpoint and does not perform document search. It is purely a data-to-Excel rendering pipeline.
Retrieval Strategy
See contracts/retrieval.md for the canonical decision tree; skill-specific retrieval detail is in references/methodology.md.
Temporal Scope
Default: latest fiscal year (max 12). Users can request specific fiscal years for multi-year comparison.
Tool Allowlist
get_statement: fetches rendered financial statement data with period columnsget_statement_structure: fetches hierarchical concept tree withorder_in_parentsearch_xbrl_facts: fallback for individual concept valueslist_xbrl_concepts: concept discovery when structure tree is unavailable- Excel generation: uses
Bashto execute a Python script withopenpyxl(following Anthropic FSI xlsx-author conventions)
Protocol
Step-by-step execution detail is in references/methodology.md.
Deliverable Chain
Inputs → Build → Validate → Output → Next
- Inputs: resolved ticker + structured facts (
search_xbrl_facts,get_company_financials) and any filing pages from the three-layer protocol. - Build: write a self-contained Python script using
openpyxlthat creates the workbook per## Output Structure; execute viaBash: python3 script.py; verify the.xlsxexists at the output path. Ifimport openpyxlfails, fall back to the.mdsummary withdata_availability: degraded(seecontracts/office-tooling.md). - Validate: run the calculation-arc cross-check in the workbook Checks tab and the
## Validation Gatesbelow. - Output: write the artifact path per
## Output File. - Next: append to
agentii.md; hand off to a downstream pitch/review skill if requested.
Output File
Primary deliverable: {ticker}/{YYYY-MM-DD_HHMM}_statement-{type}.xlsx — the formatted Excel workbook (the primary artifact).
Companion summary: {ticker}/{YYYY-MM-DD_HHMM}_xlsx-financials_summary.md — validation report with calculation-arc results, coverage gaps, and key citations. The .md summary is a companion, NOT a substitute for the .xlsx.
Output Structure
The deliverable is a structured markdown report written to the path in ## Output File. Full section-by-section template (headings, tables, and field definitions) lives in references/output-structure.md. Required elements:
- Executive Summary — headline conclusions (≤200 words).
- Core analysis sections — per this skill's methodology and analyst modes.
- Data classification — tag findings
[FACT]/[DEDUCTED]/[VIEW]percontracts/snapshot-synthesis.md. - Coverage Gaps & Citations — inline
/v/citations are PRIMARY (immediately after each fact); the bottom Citations section is a non-duplicative roll-up index. - Output frontmatter — emit the FR-090 structured block per
contracts/output-frontmatter-schema.md.
Citations & memory: follow contracts/citation-and-memory.md — ≥1 citation per 200 words; every material fact, table row, and metric is immediately followed by its inline clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link; a bottom Citations section provides a non-duplicative roll-up index; the closing TUI reply includes a compact Key Citations list (headline 5–10 facts) of clickable /v/ URLs; and append the run to agentii.md per contracts/agentii-md-schema.md.
xlsx-author Conventions
Excel formatting conventions are in references/methodology.md and contracts/office-tooling.md.
Validation Gates
- **calculation arc cross-validation **: parent concept values MUST equal the weighted sum of children per
gold.xbrl_calculations. Discrepancies ≥1% flagged in Checks tab. If failed: If ≥5% discrepancy: mark Checks tab cell red, add comment with the XBRL-expected value. - statement structure integrity: all concepts in the rendered statement MUST exist in the presentation tree (
gold.xbrl_presentation). Missing concepts flagged. If failed: list missing concepts in a "Coverage Notes" sheet. - period alignment: all period columns MUST have data for the same set of concepts. Gaps flagged. If failed: fill empty cells with "N/R" (not reported) and note in Coverage Notes.
Tool Fallbacks
Per-tool failure modes and fallback actions are tabulated in references/tool-fallbacks.md.
Preflight
Run the canonical pre-flight sequence — MCP health probe, ticker resolution, workspace style.md override, memory load, and coverage check. See contracts/preflight.md.
Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md.
Memory & Snapshot
- Memory load (pre-flight): load prior workspace context for the ticker before retrieval — see
contracts/memory-load.md. - Structured output frontmatter: emit the FR-090 block (
key_metrics,conclusions,facts_count,deducted_count,views_count,citation_count) percontracts/output-frontmatter-schema.md. - Snapshot synthesis: after writing the deliverable, update the two-tier snapshot and classify findings as
[FACT]/[DEDUCTED]/[VIEW]— seecontracts/snapshot-synthesis.md. - Session archival: record the run under
sessions/{YYYY-MM-DD}/and updatesessions/INDEX.mdpercontracts/session-format.md.
Final Summary (TUI)
End the closing chat reply with a compact Key Citations list (headline 5–10 facts), each a clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link, so the user can cmd+click straight to the exact SEC page. See contracts/citation-and-memory.md.
Error Handling
| Failure Mode | Detection | Action | User-Facing Message |
|---|---|---|---|
| No XBRL data for ticker | get_statement returns empty | Halt; suggest checking coverage | "No XBRL statement data for {ticker} in fiscal year {year}." |
| Statement type not available | get_statement_structure returns empty tree | Try alternative statement types | "{type} not available; available types: {available_types}." |
| Non-USD currency | unit field is not USD | Annotate with ISO 4217 code; apply currency label to all values | "⚠ {ticker} reports in {currency}. Values NOT converted to USD." |
| Calculation arc mismatch | Checks tab shows ≥5% discrepancy | Flag in Checks tab with red cell; note in output | "Calculation arc validation found {n} discrepancies ≥5%." |