
excel
Handle spreadsheet operations (Excel/CSV) with high-fidelity modeling, financial analysis, and visual verification. Use for budget models, data dashboards, and complex formula-heavy sheets. Use proactively when zero formula errors and professional standards are required. Examples: - user: "Build an LBO model" - create Excel with banking-standard formatting - user: "Analyze this data and create a dashboard" - use openpyxl + artifacttool - user: "Verify formulas in this spreadsheet" - run recalc.py to check for errors
- Installs
- 202
- Last 24h
- —
- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/igorwarzocha/opencode-workflows --skill excel- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads excel automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
<modeling_standards>
- Zero Formula Errors: Models MUST have zero #REF!, #DIV/0!, or #VALUE! errors.
- Dynamic Logic: You MUST NOT hardcode derived values. You MUST use Excel formulas for all calculations.
- Assumptions: You MUST place all inputs in dedicated assumption cells. </modeling_standards>
<professional_formatting>
- Standards: Specify units in headers ("Revenue ($mm)"). Format zeros as "-".
- Color Coding: The agent SHOULD follow the project's
brandingskill for color choices. If not defined, the agent SHOULD default to professional standards (e.g., Blue for hardcoded inputs, Black for formulas). - Visuals: You SHOULD use
artifact_toolto render sheets and verify layout. Reference:references/artifact_tool_spreadsheets_api.md. </professional_formatting>
<technical_workflows>
1. Data Analysis (Pandas)
- You SHOULD use Pandas for heavy lifting and aggregation.
- You SHOULD convert to Openpyxl for final professional formatting and formula insertion.
2. Verification Loop (MANDATORY)
Before delivery, you MUST run the audit script:
python scripts/recalc.py output.xlsx- You MUST fix all errors identified in the resulting JSON summary. </technical_workflows>
<citation_logic>
- Citations: You SHOULD cite sources for hardcoded data in cell comments.
- Best Practices: See
references/spreadsheet.mdfor guidance on cross-sheet references and complex formula construction. </citation_logic>
</excel_professional_suite> </instructions>
FAQ
What does the excel skill do?
Handle spreadsheet operations (Excel/CSV) with high-fidelity modeling, financial analysis, and visual verification. Use for budget models, data dashboards, and complex formula-heavy sheets. Use proactively when zero formula errors and professional standards are required. Examples: - user: "Build an LBO model" - create Excel with banking-standard formatting - user: "Analyze this data and create a dashboard" - use openpyxl + artifacttool - user: "Verify formulas in this spreadsheet" - run recalc.py to check for errors
How do I install excel?
Run npx skills add https://github.com/igorwarzocha/opencode-workflows --skill excel in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/excel/ (personal) or .claude/skills/excel/ (project).
Which AI agents can use excel?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is excel safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains excel?
It is published by igorwarzocha in igorwarzocha/opencode-workflows. It has 202 recorded installs.
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