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 + artifact_tool - user: "Verify formulas in this spreadsheet" -> run recalc.py to check for errors
How do I install this agent skill?
npx skills add https://github.com/igorwarzocha/opencode-workflows --skill excelIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill facilitates Excel operations and includes a verification script that executes local commands and installs a configuration macro to automate formula recalculation. While functional, this represents a persistence mechanism and command execution surface.
- Socketwarn
1 alert: gptSecurity
- Snykpass
Risk: LOW · No issues
- Runlayerpass
11/26 files flagged
- ZeroLeakspass
Score: 93/100 · 2 sections analyzed
What does this agent skill do?
<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>
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/igorwarzocha/opencode-workflows/excel">View excel on skillZs</a>