agentleFS
Sign inStart free
WadeWarrenWadeWarren/gws-claude-plugin/skills/recipe-sync-contacts-to-sheet/SKILL.md

recipe-sync-contacts-to-sheet

Skill38 starsChanged 8 months agoApache-2.0View on GitHub

Export Google Contacts directory to a Google Sheets spreadsheet.

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Create a sheet: gws sheets +append --spreadsheet SHEET_ID --range 'Contacts' --json-values '[["Name", "Email", "Phone"]]'

    line 23

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Export Google Contacts to Sheets

PREREQUISITE: Load the following skills to execute this recipe: gws-people, gws-sheets

Export Google Contacts directory to a Google Sheets spreadsheet.

Steps

  1. List contacts: gws people people listDirectoryPeople --params '{"readMask": "names,emailAddresses,phoneNumbers", "sources": ["DIRECTORY_SOURCE_TYPE_DOMAIN_PROFILE"], "pageSize": 100}' --format json
  2. Create a sheet: gws sheets +append --spreadsheet SHEET_ID --range 'Contacts' --json-values '[["Name", "Email", "Phone"]]'
  3. Append each contact row: gws sheets +append --spreadsheet SHEET_ID --range 'Contacts' --json-values '[["Jane Doe", "jane@company.com", "+1-555-0100"]]'

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free