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Internal Comms

Checked
smallnest·vlatest·productivity·MIT

Streamlines internal messaging by summarizing key updates and discussions, boosting team alignment & efficiency.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add smallnest/langgraphgo --skill internal-comms -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

smallnest

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned smallnest/langgraphgo at 8babee09de.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
6 files, 192 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, smallnest-internal-comms, facilitates streamlined communication within a team or organization. It allows AI agents to draft and send emails, create Slack messages, and summarize internal documents, all while adhering to pre-defined templates and guidelines. The tool aims to improve efficiency and consistency in internal communications.

When to use it

  • Drafting weekly project status updates for stakeholders via email.
  • Creating announcements or reminders within a team's Slack channel.
  • Summarizing lengthy meeting transcripts into concise bullet points for distribution.
  • Generating personalized welcome messages for new employees joining the company.

Key capabilities

  • Email drafting and sending
  • Slack message creation
  • Internal document summarization
  • Template adherence

Example prompts

  • "Draft an email to the marketing team summarizing the Q3 sales performance."
  • "Create a Slack message announcing the upcoming all-hands meeting on Friday at 10 AM."
  • “Summarize this internal report and highlight key findings.”

Tips & gotchas

The skill's effectiveness relies heavily on having well-defined email templates and clear guidelines for internal communication. Ensure these are readily accessible to the AI agent for optimal results.