agentleFS
Sign inStart free
andreasskytandreasskyt/claude-skills/google-calendar/SKILL.md

google-calendar

Skill0 starsChanged 7 months agoNo licenceView on GitHub

Read and create events in Google Calendar. Use when the user asks about their schedule, upcoming meetings, wants to add an event, or asks what they have planned. Never update or delete existing events — create only and read only.

  • Reads credentials
  • Sends data out

23 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use google-chat, google-tasks and 8 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • antoniolgSkill

    google-chat

    Read Google Chat spaces/threads via the Chat API, create/refresh OAuth tokens, parse Gmail Chat URLs, and list spaces. Use when asked to look up or verify messages in Google Chat or when you need API access to Chat from the CLI.

    Also in 3 projects that use this

  • clearsmogSkill

    google-tasks

    Manage Google Tasks via the `gtasks` CLI. Use when the user asks to view, add, update, complete, or delete tasks. Supports multiple task lists.

    Also in 3 projects that use this

  • leolionartSkill

    google-gmail

    Operate Gmail via the Google Workspace CLI (gws) — send emails, reply with threading, triage inbox, and stream new messages as NDJSON. Use when users ask to send/forward/reply emails, check inbox summary, or automate email workflows.

    Also in 3 projects that use this

  • OpenAISkill

    google-docs

    Prompt- and template-complete Google Docs creation and editing with explicit-instruction-authoritative structural preservation, including semantic roles, relationships, comparison dimensions, and instructed extensions; full-topology native-copy routing; source-grounded per-tab adaptation for past/example references; style-preserving hyperlink and table edits; canonical smart-chip-first authoring for dates and relevant supported people or Google resources; a file-backed advisory trusted read before existing-document writes; automatic protected-control awareness; direct connector APIs by default; DOCX-first import only when no supplied Google Doc template/reference constrains the output; and checked-in code mode only for exact native dropdown mutation. Use when Codex must create, edit, fill, adapt, redesign, or verify Google Docs without overriding explicit user/template instructions, adding unrequested document scope, or carrying stale reference facts into a new deliverable.

    Also in 7 projects that use this

  • OpenAISkill

    google-drive

    Use connected Google Drive as the single entrypoint for Drive, Docs, Sheets, and Slides work. Use when the user wants to find, fetch, organize, share, export, copy, or delete Drive files, or summarize and edit Google Docs, Google Sheets, and Google Slides through one unified Google Drive plugin.

    Also in 6 projects that use this

  • refly-aiSkill

    asana

    Integrate with Asana for task management. Use when you need to: (1) create and manage Asana tasks, (2) organize project work, or (3) automate team task tracking workflows.

    Also in 3 projects that use this

  • +2 more from openai

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 20 edited versions we read keep these.

  • 7

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 20 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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