Xlsx Financials logo

Xlsx Financials

Community
agentii-ai
xlsx-financials

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.

Overview

Publisheragentii-ai
Repositoryagentii-investment-intelligence
Skill namexlsx-financials
Stars
207
Forks
16
Bundled files
8
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by agentii-ai on GitHub. Read the source before you install it.

Installation

Install the Xlsx Financials AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/models-and-pitches/skills/agentii/xlsx-financials
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git /tmp/agentii-investment-intelligence
mkdir -p .claude/skills
cp -r /tmp/agentii-investment-intelligence/plugins/vertical-plugins/models-and-pitches/skills/agentii/xlsx-financials .claude/skills/xlsx-financials
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xlsx Financials in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Xlsx Financials on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Xlsx Financials is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

ParameterDefaultNotes
statement_typeincome_statementincome_statement, balance_sheet, cash_flow, equity, oci
fiscal_year(latest available)Integer year
include_calculationstrueInclude 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 columns
  • get_statement_structure: fetches hierarchical concept tree with order_in_parent
  • search_xbrl_facts: fallback for individual concept values
  • list_xbrl_concepts: concept discovery when structure tree is unavailable
  • Excel generation: uses Bash to execute a Python script with openpyxl (following Anthropic FSI xlsx-author conventions)

Protocol

Step-by-step execution detail is in references/methodology.md.

Deliverable Chain

Inputs → Build → Validate → Output → Next

  1. Inputs: resolved ticker + structured facts (search_xbrl_facts, get_company_financials) and any filing pages from the three-layer protocol.
  2. Build: write a self-contained Python script using openpyxl that creates the workbook per ## Output Structure; execute via Bash: python3 script.py; verify the .xlsx exists at the output path. If import openpyxl fails, fall back to the .md summary with data_availability: degraded (see contracts/office-tooling.md).
  3. Validate: run the calculation-arc cross-check in the workbook Checks tab and the ## Validation Gates below.
  4. Output: write the artifact path per ## Output File.
  5. 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:

  1. Executive Summary — headline conclusions (≤200 words).
  2. Core analysis sections — per this skill's methodology and analyst modes.
  3. Data classification — tag findings [FACT] / [DEDUCTED] / [VIEW] per contracts/snapshot-synthesis.md.
  4. Coverage Gaps & Citations — inline /v/ citations are PRIMARY (immediately after each fact); the bottom Citations section is a non-duplicative roll-up index.
  5. 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

  1. **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.
  2. 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.
  3. 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 canonical pre-flight per contracts/preflight.md.

Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).

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) per contracts/output-frontmatter-schema.md.
  • Snapshot synthesis: after writing the deliverable, update the two-tier snapshot and classify findings as [FACT]/[DEDUCTED]/[VIEW] — see contracts/snapshot-synthesis.md.
  • Session archival: record the run under sessions/{YYYY-MM-DD}/ and update sessions/INDEX.md per contracts/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 ModeDetectionActionUser-Facing Message
No XBRL data for tickerget_statement returns emptyHalt; suggest checking coverage"No XBRL statement data for {ticker} in fiscal year {year}."
Statement type not availableget_statement_structure returns empty treeTry alternative statement types"{type} not available; available types: {available_types}."
Non-USD currencyunit field is not USDAnnotate with ISO 4217 code; apply currency label to all values"⚠ {ticker} reports in {currency}. Values NOT converted to USD."
Calculation arc mismatchChecks tab shows ≥5% discrepancyFlag in Checks tab with red cell; note in output"Calculation arc validation found {n} discrepancies ≥5%."

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Xlsx Financials AI skill do?

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.

Why use Xlsx Financials on TypingMind?

Because you install it once and use it with any model. Xlsx Financials is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Xlsx Financials in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/models-and-pitches/skills/agentii/xlsx-financials. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Xlsx Financials?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Xlsx Financials?

As many as you like. As long as a model supports skills, you can use Xlsx Financials with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Xlsx Financials AI skill free?

Yes. It is published on GitHub by agentii-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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