agentleFS
paultyngpaultyng/skill-issue/skills/start-day/SKILL.md

start-day

Skill8 starsChanged 3 months agoMITView on GitHub

Use at the start of a workday or when the user says "start my day", "good morning", "/start-day", "morning", "what should I work on today", or wants a catch-up on what happened while they were away. Use when the user wants a short ranked list of what to tackle today.

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 0

    Distinctive

    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:

    Run every available skill whose name matches start-day-* (there may be several).

    line 36

“Common” is measured: kept by at least 6 in 10 of the 3 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.

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

Start Day

Produce a short morning brief: what happened since the user was last active, and 2–8 ranked things to do today. Discovery-driven — no hardcoded sources. Read-only; never posts, commits, or mutates anything.

1. Compute the lookback window

A since:<date|weekday> argument overrides everything below.

Two inputs, combined:

  • fixed_floor — the minimum lookback. The last business day at 15:00 local (17:00 assumed end-of-day, minus 2h). Last business day: Mon → previous Fri; Sat/Sun → previous Fri; else → yesterday.
  • empirical — extends the window earlier only. The end of the user's last genuinely active day: the later of (a) the newest local session under ~/.claude/projects/*/*.jsonl dated before today, and (b) the user's last Slack message (from:me sort:timestamp).

window_start = the earlier of fixed_floor and empirical. Empirical can only push earlier — a low-focus weekend glance cannot shrink the window below fixed_floor, and a vacation gap extends it. window_end = now.

Compute fixed_floor (macOS date):

case $(date +%u) in 1) back=3;; 7) back=2;; *) back=1;; esac   # Mon→Fri, Sun→Fri, else yesterday (Sat→Fri via back=1)
floor=$(date -v-${back}d -v15H -v0M -v0S +%s)                  # last business day @ 15:00 local

Holidays need no special handling: if the last business day was a holiday, the user's empirical last-active day predates it and extends the window automatically.

2. Discover and run summarization skills

Scan the available skills. Run every skill whose name matches summarize-* OR whose description declares summary / recap / status intent. Do not hardcode which ones — discover them so newly added ones are picked up. Pass the window when a skill accepts a range. If none exist, skip this step.

3. Run local extensions

Run every available skill whose name matches start-day-* (there may be several). Machine- and context-specific morning setup lives there, outside this portable skill. Fold each extension's output into the brief as bullets.

4. Slack catch-up (read-only, consent-gated)

Slack search reaches DMs and private channels, so ask once before searching: "Scan Slack DMs/private channels for saved items and pings since <window_start>?" On yes:

  • Saved / "Later" list: Slack:slack_search_public_and_private with query is:saved.
  • Pings since the window: query to:me, after:<window_start unix ts>, sort:timestamp.
  • OOO garnish: Slack:slack_read_user_profile — note if the user is currently OOO; deprioritize pings from colleagues whose status shows OOO.

Reminders are not reachable through the Slack API — skip them. Never send or post anything (per no-post-without-confirmation).

5. Synthesize the brief

Open with the window and an override hint:

Caught up since Fri Jun 19, 3:00pm (~3d). Override: /start-day since:monday.

Then 2–8 ranked items, sampled across size — a couple of quick wins to start the day, 1–2 big-rocks to advance a major project, plus anything time-sensitive from Slack. Tag each [quick] / [project] / [slack]. One terse line each, leading with the action.

Brief only: no auto-actions, no backlog writes, no posting. Stay independent of any tracker — when run inside a tool that supplies project context (system prompt, discovered skills), use it, but never depend on it.

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.