MCP App StoreMCP App StoreThis skill provides a comprehensive toolkit for creating, editing, and analyzing spreadsheet files. It goes beyond simple data manipulation by ensuring that professional financial modeling standards are met, including strict color-coding for inputs and formulas, and the use of dynamic Excel formulas instead of hardcoded Python values.
Use this skill when the primary input or output is a spreadsheet file. It is ideal for cleaning messy tabular data, creating complex financial models, or converting between various tabular formats (CSV, TSV, XLSX).
scripts/recalc.py for mandatory formula recalculation and error checking via LibreOffice.pandas for high-level analysis and openpyxl for precise cell-level formatting and formula insertion.Designed for multi-agent frameworks supporting Python execution, specifically tailored for the AdClaw ecosystem and similar autonomous agent environments.
This skill has not been reviewed by our automated audit pipeline yet.
LBO Model (Excel)
Build professional leveraged buyout (LBO) Excel models from templates, including sources & uses, debt schedules, cash sweeps, and IRR/MOIC sensitivity analysis.
Doc Cleaner
Convert PDF, DOCX, XLSX and text files into clean, structured Markdown with CJK and table support; supports offline or AI-enhanced modes.
Office & Design Toolkit
Comprehensive toolkit for processing and producing DOCX, PPTX, XLSX and PDF files plus design guidance and quality checks for professional office documents and
Provide Raw YouTube Video ID
Return only a valid existing YouTube video ID string (no URL, no commentary) — useful for tools that need raw IDs for downstream operations.
Data Triage
Quickly profile, triage, and summarise local data files (CSV/TSV/JSON/JSONL) and logs with safe defaults and reversible cleaning steps.
Modeling Transaction Financing Structures
Build acquisition financing models: size debt capacity, analyze leverage and coverage ratios, and compare capital-structure alternatives for deal decision-makin
Excel Data Helper
Local Excel/CSV data profiling and chart generation with 20+ quality scans, semantic LLM analysis, and ECharts visualizations.
Transitive Match Closure
Post-process entity-match predictions to enforce symmetry and transitivity (graph closure) to improve recall in deduplication and record linkage.