Task Resume

Task Resume

Use this skill to ensure interrupted tasks are recovered automatically.

Defaults (MANDATORY)

• Make interruption enqueue the default behavior.
• On any non-explicit context switch, auto-enqueue the active unfinished task.
• Use one shared queue file for all sessions/clones so the view is unified.

Rules

• Treat user-explicit commands (cancel, pause, change priority, do it tomorrow) as overrides.
• Treat all other topic switches as potential interruptions.
• Before switching topics, persist interruption context to queue.
• After completing the active task, immediately resume the oldest queued interrupted task.
• If queue is empty, do nothing.

Shared Queue Storage (cross-session)

• Canonical queue file: memory/task-resume-queue.json
• This file is workspace-global and shared across main + clone + group sessions.
• Always pass source with session/channel identity.
• Use helper script: scripts/task_resume_queue.py

Interruption Detection

Consider a task interrupted when all are true:

1. There is an active task with unfinished acceptance criteria.
2. A new user request is unrelated to finishing that active task.
3. User did not explicitly cancel/pause/defer the active task.

On Interruption (auto-enqueue)

Run immediately:

python3 skills/task-resume/scripts/task_resume_queue.py add \
  --title "<active task title>" \
  --context "<what was done + exact next step>" \
  --acceptance "<acceptance criteria>" \
  --source "<channel>" \
  --session "<session_key_or_chat_id>"

Then acknowledge briefly: queued + will auto-resume.

On Active Task Completion (resume)

Run:

python3 skills/task-resume/scripts/task_resume_queue.py pop

• If one item is returned, resume it immediately and announce: Resuming previously interrupted task: <title>.
• If empty, continue normal flow.

Unified View

Run:

python3 skills/task-resume/scripts/task_resume_queue.py status

This returns total queue count + grouped counts by source/session.

Guardrails

• Never drop queued tasks silently.
• Always include next-step quality context when enqueueing.
• Deduplicate: if same task title and near-identical context exists in queue, update timestamp instead of appending.
• Keep queue max size 30; discard oldest overflow items after logging to memory/YYYY-MM-DD.md.

Daily Hygiene

At least once daily:

python3 skills/task-resume/scripts/task_resume_queue.py list

If stale items (>7 days), ask user whether to cancel or schedule.