agentleFS
jackson2wjackson2w/claude-code-skills/homelab-terminal-report-delivery/SKILL.md

homelab-terminal-report-delivery

Skill1 starsChanged 10 days agoNo licenceView on GitHub

This skill should be used when building or modifying a homelab automation that needs to deliver a status report via email + Telegram + (optionally) a GitHub-hosted markdown archive — the shared report system (resilience-ledger-styled HTML as of 2026-08-17, previously Kanagawa-Wave-terminal-styled) already used by the weekly housekeeping sweep, the nightly backup summary, and the R2/B2 offsite sync emails. Also covers choosing between a minimal-link Telegram ping and a rich bulleted Telegram-as-primary-channel with conditional email (added 2026-08-20 to cut Postmark's 100/month free-tier quota). Trigger phrases include "homelab status report", "ledger styled email", "kanagawa wave email", "render-terminal-report", "homelab-report-lib", "consolidate emails into a digest", "add a new homelab report automation", "resilience-ledger design system", "claude_code_prompts schema", "push report to obsidian-vault", "deploy report script to a host other than ansible-ctrl", "raw ISO timestamp in email/telegram", "human readable local time in report", "send_rich_telegram_report", "postmark quota", "postmark free tier limit", "telegram primary channel", "bulleted telegram summary", "only email on warn or fail".

  • Sends data out

The file

Show its rules and text

We split this skill into the rules it gives an agent

13 rules. About 0 are common, 5 are distinctive, and 8 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 8

    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 an estimate: at least 1 in 5 of the 350,495 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.

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.