ryoitabashi/shelly/daily-digest-composer

Claude Code and agent skill by ryoitabashi/shelly

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Compose a scheduled digest (daily/weekly) that is skimmable in ten seconds instead of a raw dump of everything collected during the run.

Install

npx vskill@latest install ryoitabashi/shelly/daily-digest-composer

SKILL.md

When a scheduled agent's job is to collect information (logs, notifications, research results, repo activity) and deliver a periodic digest, build the digest in this shape rather than pasting raw output:

  1. One-line headline first. The single most important fact from this

run, even if it's "nothing notable happened" — never bury the lede under a wall of collected data.

  1. Group by section, not by source. A reader cares about "what changed"

and "what needs a decision," not which tool produced which line. Merge overlapping items from different sources into one bullet.

  1. Cap the length deliberately. Pick a target (e.g. 5-10 bullets) before

writing, then cut the least important items rather than shrinking every item to fit — a digest that's always the same length stops getting read.

  1. Flag anything that needs a human decision separately from pure FYI

items, so the reader can triage in one pass (e.g. a "needs input" section vs. a "for your info" section).

  1. Match the delivery channel to the content. A short digest fits a

device notification (Agent Action: Notify); a longer one belongs in a file (Agent Action: Draft, e.g. an Obsidian vault note) that the notification can point to instead of trying to cram everything into the notification body.

  1. Carry state between runs when "what changed since last time" matters

— note the timestamp/marker of what was already reported so the next run doesn't re-report the same items, and say explicitly when a period had zero new items instead of silently omitting the section.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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Source

Popularity

Repository stars
65
Repository forks
10
7-day trend score
26

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