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    Smart Spreadsheet Merge Semantic Dedup

    1

    Consolidates folder-wide spreadsheets into a single file using four-layer semantic and fuzzy deduplication.

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    Smart Spreadsheet Merge Semantic Dedup

    Smart Spreadsheet Merge Semantic Dedup

    Example session with this skill installed

    Consolidate all the spreadsheets in the /client-data folder. There are a lot of duplicates but some names are abbreviated or have typos.

    • Read your context and instructions
    • Compiled the smart spreadsheet merge

    I found 5 files with 1,200 total rows. I've mapped the inconsistent 'CustName' and 'Client' headers to a unified 'Customer' column. I propose using 'Customer' + 'Email' as the dedup key. Once you confirm, I'll run the four-pass semantic detection.

    $5/mo

    Subscription · always the latest version

    • Secure checkout via Stripe
    • Cancel anytime
    • Delivered live via MCP (optional)

    What you get

    Consolidate inconsistent spreadsheets into a single source of truth.Identify duplicates that use synonyms, abbreviations, or reordered words.Map disparate headers across multiple files into one unified schema.Generate an audit trail of every merge decision and source file origin.

    About this skill

    Surfaces: Claude Code ✅ · Cowork ✅ · claude.ai ⚠️ uploaded files only, no local folder path · Chrome ❌ no shell to run cluster.py or write a workbook · API ⚠️ needs Bash plus a turn-taking loop for the two approval gates

    Runtime: Python 3.7+ — ordered dict.fromkeys dedup at scripts/cluster.py:73 (inferred); nothing else pins a floor, imports are stdlib only

    Packages: openpyxl + pandas for the workbook I/O this skill delegates to the public xlsx skill (SKILL.md:12) — preinstalled in the claude.ai sandbox, elsewhere: pip install openpyxl pandas. scripts/cluster.py needs nothing

    Tools: Bash / Python execution (cluster.py, workbook read-write) · directory listing and file read across a whole folder (step 1) · file write and delivery to the user, /mnt/user-data/outputs/ then present (SKILL.md:48) · multi-turn dialogue — steps 4 and 6 are blocking approval gates

    Network: none at runtime. pypi.org at install time only if openpyxl / pandas are absent

    Model: any. Pass D judges synonyms, translations and brand-vs-legal-name pairs by meaning (SKILL.md:38) — a stronger model produces fewer bad groups to veto at the gate

    Companions: requires the public xlsx skill, read first (SKILL.md:12) · spreadsheet-data-auditor routes cross-file dedup here

    Degrades to: without shell, Passes A–C fall back to manual grouping and no workbook is written — only trivial folders are feasible. Without a turn-taking session the step-4/6 gates cannot run, and the merge must not proceed without them. LibreOffice recalc is not needed — the output sheets carry values, not formulas

    Generated from SKILL.md + scripts/ + references/ on 2026-08-14. Items marked (inferred) follow from a code signal rather than a declaration.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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