Agent skill

things-week-ahead-digest

Summarize Things todos and recommend next actions using recent activity across projects, areas, and checklist-like notes, plus a week/weekend-ahead preview. Use when asked for Things planning digests, productivity check-ins, weekly previews, or automation that turns Things data into concise priorities.

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/things-week-ahead-digest

SKILL.md

Things Week Ahead Digest

Build a repeatable Things planning digest with four sections:

  • Snapshot
  • Recently Active
  • Week/Weekend Ahead
  • Suggestions

Inputs

Collect data with Things MCP tools:

  1. things_read_areas
  2. things_read_projects with status="open"
  3. things_read_todos with status="open" (set limit high enough for a full view, usually 300-500)
  4. things_read_todos with status="completed" and completed_after=<today-7d>
  5. Optional: things_read_todo for top candidate tasks (include_notes=true) when notes/checklist signals are needed

If any call fails because of permissions, report the missing permission and continue with the best available subset.

Workflow

  1. Build urgency buckets from open todos:
  • overdue: deadline < today
  • due soon: deadline <= today + 3 days
  • week/weekend ahead: deadline between today and today + 4 days
  1. Score recent activity by project and area using:
  • recent completions (last 7 days)
  • open tasks
  • due soon / overdue counts
  • checklist-like hints from notes (- [ ], - [x], multiline bullet blocks)
  1. Identify top active projects/areas from the score.
  2. Generate 3-5 concrete suggestions:
  • one next action for top projects
  • one risk/triage action for overdue work
  • one planning action for weekend or Monday readiness when relevant
  1. Format with the template in references/output-format.md.

Keep tone concise and operational. Prefer verbs and specific task titles over generic advice.

Scripts

Use scripts/build_digest.py when deterministic scoring/formatting is preferred (automation, repeatability, large datasets).

bash
python3 scripts/build_digest.py \
  --areas areas.json \
  --projects projects.json \
  --open-todos open_todos.json \
  --recent-done recent_done.json

The script reads JSON exported from Things MCP responses and prints Markdown digest output.

Automation Templates

Use $things-week-ahead-digest inside automation prompts so Codex reliably loads this workflow.

For ready-to-fill Codex App and Codex CLI (codex exec) templates, including Things MCP fallback guidance, placeholders, and customization knobs, use:

  • references/automation-prompts.md

References

  • Scoring and suggestion rules: references/suggestion-rules.md
  • Output shape and section template: references/output-format.md
  • Automation prompt templates: references/automation-prompts.md

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