Produce formatted .xlsx financial statement workbooks from XBRL statement data.

Apache-2.0Auto-check passedDocuments & Office

Install XLSX Financials

skills CLI
$ npx skills add agentii-ai/agentii-investment-intelligence --skill xlsx-financials -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentii-ai/agentii-investment-intelligence xlsx-financials --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/vertical-plugins/models-and-pitches/skills/agentii/xlsx-financials .claude/skills/xlsx-financials && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
xlsx-financials
GitHub stars
207
Token cost
~2k tokens
SKILL.md length
862 words
Files
9 (incl. references)
Skills in repo
79
Repo updated
First seen
Licence
Apache-2.0

At a glance

Produce formatted .xlsx financial statement workbooks from XBRL statement data.

  • Works in 5 steps: Inputs: resolved ticker + structured… → Build: write a self-contained Python… → Validate: run the calculation-arc… → …
  • Tasks that involve Excel spreadsheets
  • SKILL.md covers Triggers, Defaults, Methodology and Deliverable Chain, plus 9 more sections
  • Reaches agentii.ai

What it does

XLSX Financials is an agent skill from agentii-ai/agentii-investment-intelligence. 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.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/formula-sheet.md`, `references/institutional-defaults.md` and `references/methodology.md`).

It sits in Documents & Office, covering Excel spreadsheets and Financial analysis. It works with Microsoft Excel, Bash, Python and openpyxl. The repository describes itself as: 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… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Excel spreadsheets
  • Tasks that involve Financial analysis

Example prompts

  • “/xlsx-financials”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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…
  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 86980e1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • agentii.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

XLSX Financials loads about 2k tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 862 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 862 words, ~2,033 tokens.

Download SKILL.mdSave it as .claude/skills/xlsx-financials/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
xlsx-financials
description
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.
multi_ticker_semantics
single_target
temporal_scope.default_quarters
4
temporal_scope.max_quarters
12
temporal_scope.description
Fiscal years for statement rendering; default latest year
retrieval_scope
structured_only
min_tool_diversity
2

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.

Show full SKILL.md (342 more words)Show less

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%."

© agentii-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (references) in plugins/vertical-plugins/models-and-pitches/skills/agentii/xlsx-financials of agentii-ai/agentii-investment-intelligence.

  • SKILL.md
  • references/formula-sheet.md
  • references/institutional-defaults.md
  • references/methodology.md
  • references/modes.md
  • references/output-structure.md
  • references/tool-fallbacks.md
  • references/validation-checklist.md
  • references/wsp-methodology.md

Open the folder on GitHubat commit 86980e1

Compare with similar skills

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Questions about XLSX Financials

What does XLSX Financials do?

Produce formatted .xlsx financial statement workbooks from XBRL statement data. XLSX Financials is an agent skill from agentii-ai/agentii-investment-intelligence.xlsx financial statement workbooks from XBRL statement data.

When should I use XLSX Financials?

XLSX Financials fits situations like: tasks that involve Excel spreadsheets; tasks that involve Financial analysis.

How do I install XLSX Financials in Claude Code?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill xlsx-financials -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/models-and-pitches/skills/agentii/xlsx-financials in agentii-ai/agentii-investment-intelligence) into .claude/skills/xlsx-financials in your project. Claude Code loads it when a task matches its description.

How do I install XLSX Financials in Codex?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill xlsx-financials -a codex`. Or copy the skill folder (plugins/vertical-plugins/models-and-pitches/skills/agentii/xlsx-financials in agentii-ai/agentii-investment-intelligence) into .agents/skills/xlsx-financials in your project. Codex loads it when a task matches its description.

Can I use XLSX Financials in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentii-ai/agentii-investment-intelligence --skill xlsx-financials -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/xlsx-financials, .gemini/skills/xlsx-financials, .github/skills/xlsx-financials and .opencode/skills/xlsx-financials in your project.

What does XLSX Financials need to run?

SKILL.md names no scripts, command-line tools or credentials: XLSX Financials is instructions for the agent only. Our summary lists: Python 3.

Does XLSX Financials access the network?

SKILL.md names 1 domain. In commands or code: agentii.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is XLSX Financials safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does XLSX Financials use?

XLSX Financials is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does XLSX Financials use?

About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.2k tokens, read only when the agent opens those files.

What are the alternatives to XLSX Financials?

Skills that share tags, products or a category with XLSX Financials: Three-Statement Model Builder (ginlix-ai/LangAlpha, 1.8k stars), Markdown Exporter (bowenliang123/markdown-exporter, 272 stars), Excel Workbook Editor (TokenRhythm/opensquilla, 7.1k stars) and Kimi XLSX (thvroyal/kimi-skills, 238 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains XLSX Financials?

agentii-ai (a GitHub user) maintains it in agentii-ai/agentii-investment-intelligence, which has 207 GitHub stars. The repository holds 79 skills in this directory. The repository was last updated on September 29, 2026.

Source: agentii-ai/agentii-investment-intelligence on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.