Skip to content
cccskills
FreePublished on GitHub

local-mcp-office

Read and create Excel, Word, and PowerPoint files, and read PDFs stored on a Mac or Windows computer. LMCP works with local files without requiring Microsoft 365 or Office to be installed.

OriginalShow the original description

Use when the user wants to read or create Excel spreadsheets, Word documents or PowerPoint presentations, or read PDFs, from files on their Mac or Windows computer. Powered by LMCP; no Microsoft 365 subscription needed.

hashgraph-online/awesome-codex-plugins1,436 stars(GitHub 1,436 + cccskills 0)

Run score Not tested

See how to install

Good for

  • Reading a spreadsheet stored on your computer
  • Creating or appending to a Word document
  • Reading or creating a PowerPoint presentation
  • Summarizing a long PDF by section

Files included (1)

  • SKILL.md1.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Excel, Word, PowerPoint and PDF via LMCP

LMCP reads and writes Office files directly on the user's computer (macOS and Windows). It does not need Microsoft 365 or Office installed to read or create the files.

Core tools

  • Excel: excel_read, excel_create, excel_write_cell.
  • Word: word_read, word_create, word_append.
  • PowerPoint: ppt_read, ppt_create.
  • PDF: pdf_read.
  • Find the file first with the file tools (file_search, finder_search on macOS, explorer_search on Windows), or in OneDrive and Google Drive.

Good practice

  • Read before writing: check sheet names and headers with excel_read before writing cells.
  • Create new files next to the source instead of overwriting the user's original, unless asked.
  • For a long PDF or deck, summarize by section instead of returning all the text.

Guides: https://www.local-mcp.com/guides/claude-excel-mac · https://www.local-mcp.com/guides/claude-office-docs-windows

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Plan worthwhile local tasks by checking dependencies, effects, resources, and platform boundaries, then execute the exact approved plan. It can use safe parallel work or suitable Apple-silicon backends when the project exposes them.

  • Speed up independent local build or test steps
  • Plan a task with several dependency-linked operations
  • Choose an Apple-silicon backend for supported numerical or media work
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 27, 2026

add

FreeSummary

Record deferred engineering decisions and temporary workarounds in a debt registry, with context such as effort, ongoing cost, affected area, and payoff trigger. Entries receive short labels so they can be reviewed or dropped later.

  • Logging a TODO or unfinished implementation
  • Recording a temporary default or bypassed check
  • Tracking a swallowed error or loosened type
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 29, 2026

Generate or compare AI agent code for LangChain, EINO, AutoGen, AgentScope, and CrewAI using framework-specific templates, API mappings, conventions, and project structures. Reference files include verification dates to help identify potentially outdated guidance.

  • Creating an agent project for a chosen framework
  • Comparing APIs across supported agent frameworks
  • Referencing framework-specific tool and memory patterns
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 26, 2026

Investigate a reproducible bug, test failure, or unexpected page behavior, then make a narrowly scoped fix. The workflow calls for a regression test before changing code, verifies the fix, and reports remaining risks and evidence while avoiding unrelated refactoring or feature work.

  • Finding the cause of a failing test
  • Fixing an unexpected page or feature behavior
  • Adding a regression test before a minimal code change
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 29, 2026

Build an AI agent project through six collaborative stages, from requirements and architecture to tools, prompts, code generation, and verification. Start framework-independent, then generate a runnable project for frameworks such as LangChain, EINO, AutoGen, AgentScope, or CrewAI.

  • Designing an AI agent from a business need
  • Generating a runnable agent project
  • Planning tools, prompts, and orchestration
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 26, 2026

Audit a project or learning workflow for scope drift, conflicting plans, inconsistent names, and code quality concerns. The skill reads project files and code, then reports evidence, severity, and suggested next steps without changing files.

  • Checking whether project work has drifted from its agreed scope
  • Finding conflicting plans or inconsistent naming
  • Reviewing code against project decisions without editing it
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 29, 2026

See all skills by hashgraph-online

Report a problem with this skill