Agent Skills: Desktop Commander

Use Desktop Commander MCP (typically tools like `mcp__desktop-commander__*`) to manage local files and long-running processes: read/write/search files, apply precise edits, work with Excel/PDFs, run terminal commands and interact with REPLs (Python/Node/SSH/DB), inspect/terminate processes, and review tool call history. Use when the task requires doing real work on the machine (editing code/configs, searching a repo, analyzing CSV/Excel, generating/modifying PDFs, running commands with streaming output).

UncategorizedID: ry-run/run-skills/desktop-commander

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pnpm dlx add-skill https://github.com/Ry-Run/run-skills/tree/HEAD/skills/desktop-commander

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skills/desktop-commander/SKILL.md

Skill Metadata

Name
desktop-commander
Description
"Use Desktop Commander MCP (typically tools like `mcp__desktop-commander__*`) to manage local files and long-running processes: read/write/search files, apply precise edits, work with Excel/PDFs, run terminal commands and interact with REPLs (Python/Node/SSH/DB), inspect/terminate processes, and review tool call history. Use when the task requires doing real work on the machine (editing code/configs, searching a repo, analyzing CSV/Excel, generating/modifying PDFs, running commands with streaming output)."

Desktop Commander

Quick start

Goal: use Desktop Commander MCP to turn “files / processes / search / edits” into verifiable tool calls (small, safe steps) instead of treating the machine as a black box.

Most common entry points:

  • Read content: mcp__desktop-commander__read_file (paging, negative offset tail, PDF/image/Excel/URL).
  • Small edits: mcp__desktop-commander__edit_block (targeted text replace / Excel range update).
  • Large edits: mcp__desktop-commander__write_file in chunks (respect fileWriteLineLimit).
  • Interactive work: mcp__desktop-commander__start_process + mcp__desktop-commander__interact_with_process + mcp__desktop-commander__read_process_output.

Official notes + tool list: skills/desktop-commander/references/desktop-commander.md.

Workflow decision tree

  1. Do I need to find something?
  • File names/paths: mcp__desktop-commander__start_search (searchType="files") → mcp__desktop-commander__get_more_search_results
  • File contents: mcp__desktop-commander__start_search (searchType="content") → paginate → mcp__desktop-commander__stop_search when done
  1. Do I need to read or change content?
  • Read: mcp__desktop-commander__read_file (use offset/length; use offset=-N for tail)
  • Small change: mcp__desktop-commander__edit_block (default replaces 1 occurrence; use expected_replacements for multiple)
  • Large change: mcp__desktop-commander__write_file (mode="rewrite" then mode="append" chunked)
  1. Do I need to run commands / keep sessions?
  • One-off commands: mcp__desktop-commander__start_process (shell command) + read output
  • REPL / SSH / DB / dev server: start_processinteract_with_processread_process_output
  1. Is this a high-risk operation (config changes, killing processes, bulk edits/moves, any data loss)?
  • Explain impact + rollback first; require explicit user confirmation before executing.
  • Prefer making config changes in a separate chat (official guidance).

Recipes

Reading files

  • Text/code: read_file with pagination; logs: offset=-200 (tail-like).
  • Multiple files: read_multiple_files to reduce round trips.
  • URLs: read_file with isUrl: true for web content/images.

Editing files

  • Targeted replace: edit_block with minimal unique context; for many occurrences set expected_replacements.
  • Rewrites: write_file in 25–30 line chunks (rewrite then append).
  • Excel: read via read_file; edit via edit_block with range + 2D array.
  • PDFs: only via write_pdf (do not use write_file for PDFs).

Search

  • Prefer start_search + get_more_search_results for repo exploration; stop searches you no longer need.
  • Use literalSearch: true for patterns with special characters (parentheses, brackets, dots, etc.).

Processes & interaction

  • Data analysis: run python3 -i, then use interact_with_process for pandas/numpy workflows.
  • Observing long jobs: call read_process_output periodically; to stop use kill_process/force_terminate (high-risk).
  • Status: list_sessions / list_processes.

Config & audit

  • get_config / set_config_value: use carefully; directory restrictions are not a security boundary for terminal commands.
  • get_recent_tool_calls: recover context and debug “what happened”.
  • get_usage_stats: usage/performance insight.

Guardrails (must follow)

  • Prefer absolute paths; don’t assume OS-specific separators.
  • For big changes: read first; keep edits small; chunk writes; keep rollback in mind.
  • High-risk actions require explicit confirmation: config changes, killing sessions/processes, bulk file edits/moves, any destructive command.
  • Security: allowedDirectories limits filesystem tools, not terminal commands—don’t treat it as sandboxing.

References

  • Official notes + tool list: skills/desktop-commander/references/desktop-commander.md