Long Task Coordinator | Skills Pool
Long Task Coordinator Coordinates multi-session, delegated, or long-running work with persistent state, recovery checks, and explicit status transitions. Use when a task spans multiple turns, multiple agents, background jobs, or scheduled loops, or when interrupted work must be resumed reliably.
zhaono1 43 stars Mar 13, 2026 Occupation Categories System Administration
Keep long-running work recoverable, stateful, and honest.
When to Use This Skill
Use this skill when the work:
Spans multiple turns or multiple sessions
Involves handoffs to workers, subagents, or background jobs
Needs explicit waiting states instead of "still looking" updates
Must survive interruption and resume from a durable state file
Skip this skill for small, single-turn tasks. Use planning-with-files when simple planning is enough and recovery logic is not the main concern.
planning-with-files keeps multi-step work organized in files.
workflow-orchestrator chains follow-up skills after milestones.
long-task-coordinator makes long-running work resumable, auditable, and safe to hand off.
Core Rules
Quick Install
Long Task Coordinator npx skills add zhaono1/agent-playbook
stars 43
Updated Mar 13, 2026
Occupation
1. Create one source of truth For any real long task, maintain one durable state file. Chat history is not a reliable state store.
The state file should capture at least:
Goal
Success criteria
Current status
Current step
Completed work
Next action
Next checkpoint
Blockers
Active owners or workers
2. Separate roles only when needed Use the smallest role model that fits the task:
Origin : owns the goal and acceptance criteria
Coordinator : owns state, sequencing, and recovery
Worker : executes bounded sub-work
Watchdog : checks liveness and recovery only
Simple tasks can collapse these roles into one agent. Long or delegated tasks should make the split explicit.
3. Run every cycle in this order For each coordination round:
READ -> RECOVER -> DECIDE -> PERSIST -> REPORT -> END
Do not report conclusions before the state file has been updated.
4. Treat awaiting-result as a valid state If a worker or background job was dispatched successfully, the task is not failing just because the result is not back yet.
Valid transitions include:
running -> awaiting-result
awaiting-result -> running
running -> paused
running -> complete
5. Non-terminal rounds must create real progress A coordination round is only valid if it does at least one of the following:
Dispatches bounded work
Consumes new results
Updates the current stage or decision
Persists a new next step or checkpoint
Performs explicit recovery
If nothing changed, do not pretend the task advanced.
6. Keep recovery separate from domain work
Did execution drift from the saved state?
Is the expected worker result still pending?
Do we need to wait, retry, or re-dispatch?
What should we build, analyze, or deliver next?
Recover first, then continue domain work.
Operating Workflow
Step 1: Decide whether the task needs coordination Use this skill when at least one is true:
The task will outlive the current turn
The task will hand off work to another execution unit
The task needs checkpoints, polling, or scheduled follow-up
The task has enough complexity that loss of state would be expensive
Step 2: Create or load the state file Prefer a path that is easy to rediscover, such as:
docs/<topic>-execution-plan.md
docs/<topic>-state.md
worklog/<topic>-state.md
If no durable state exists yet, create one from references/workflow.md.
Step 3: Recover before acting At the start of every new round:
Read the state file
Check whether the recorded next step still makes sense
Confirm whether any delegated work returned
Repair stale assumptions before new action
Step 4: Persist before reporting After deciding the next action:
Update the state file
Record new status, owners, blockers, and checkpoint
Only then report progress to the user or caller
Step 5: Close the round honestly End each round with one of these states:
running
awaiting-result
paused
blocked
complete
The reported status should match the persisted status exactly.
Output Expectations When using this skill, produce updates that are grounded in saved state:
What status the task is in now
What changed this round
What is expected next
What would unblock or complete the task
Acceptance Criteria Treat the coordination work as complete only when all relevant items below are true:
A durable state file exists in a predictable path
The saved status matches the real task state
Completed work, next action, and blockers are recorded explicitly
Any delegated work has a named owner and a return condition
The final report is derived from the persisted state, not from transient reasoning
If the task is not truly complete, end in running, awaiting-result, paused, or blocked rather than pretending the work is done
Anti-Patterns
Reconstructing progress from memory instead of the state file
Reporting a conclusion before saving it
Marking waiting as failure
Ending a round with no new action and no state change
Mixing recovery checks with domain decisions in one fuzzy step
References
references/workflow.md - Detailed workflow, state template, and recovery checklist
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