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long-task-coordinator — Claude Code skill: stateful long-running work

Keeps multi-session work recoverable through a state file, explicit status transitions and honest progress reports.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add zhaono1/agent-playbook --skill long-task-coordinator -a claude-code
Open on GitHub

What long-task-coordinator does

The skill maintains one durable state file and treats it as the source of truth. It records the goal, success criteria, current status and step, completed work, next action, next checkpoint, blockers and active owners. Chat history is not a reliable state store, so the file carries the load.

Every round runs in a fixed order: read, recover, decide, persist, report, end. Reporting before the file is updated breaks the contract. awaiting-result counts as a valid state — dispatched work is not a failure just because the answer has not come back. A round only counts if something actually changed: bounded work went out, a result came in, a stage moved, or recovery ran.

references/workflow.md holds the state template and the recovery checklist. State files are meant to sit somewhere easy to rediscover, such as docs/<topic>-state.md or worklog/<topic>-state.md. Roles — origin, coordinator, worker, watchdog — stay collapsed into one agent until the task is long or delegated enough to split them. Small single-turn tasks do not need this; when plain planning is enough, the author points to planning-with-files instead.

What it helps with

  • finish work that outlives a single turn
  • resume an interrupted task from its saved state
  • hand a bounded subtask to a worker and wait for the result
  • tell a pending result apart from a real failure
  • keep the reported status matching the persisted one

Example prompts for the agent

  • create a state file for this task and run it through READ -> RECOVER -> DECIDE -> PERSIST -> REPORT
  • recover state from docs/migration-state.md and continue from the last step
  • dispatch the subtask to a worker and set status to awaiting-result

How to install long-task-coordinator

1Skills CLI (Vercel)

npx skills add zhaono1/agent-playbook --skill long-task-coordinator -a claude-code

2Manually: put the files in place

~/.claude/skills/long-task-coordinator/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/long-task-coordinator/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about long-task-coordinator

How do I install long-task-coordinator in Claude?

Run npx skills add zhaono1/agent-playbook --skill long-task-coordinator -a claude-code. The skill lands at ~/.claude/skills/long-task-coordinator/SKILL.md.

What does long-task-coordinator do?

It coordinates work spanning several sessions or turns: it keeps state in a file, runs recovery checks and drives explicit status transitions.

How is it different from planning-with-files?

planning-with-files organizes multi-step work into files. This skill adds recovery and resume logic for interrupted work.

Source text

SKILL.md · MIT
---
name: long-task-coordinator
description: 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.
allowed-tools: Read, Write, Edit, Bash, Grep, Glob, AskUserQuestion
metadata:
  hooks:
    after_complete:
      - trigger: session-logger
        mode: auto
        reason: "Log long-task coordination activity"
---

# Long Task Coordinator

> 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.

## Related Skills

- `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

### 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:

```text
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

Recovery answers:
- Did execution drift from the saved state?
- Is the expected worker result still pending?
- Do we need to wait, retry, or re-dispatch?

Domain work answers:
- 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:
1. Read the state file
2. Check whether the recorded next step still makes sense
3. Confirm whether any delegated work returned
4. Repair stale assumptions before new action

### Step 4: Persist before reporting

After deciding the next action:
1. Update the state file
2. Record new status, owners, blockers, and checkpoint
3. 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

Avoid:
- 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

© zhaono1 · MIT · zhaono1/agent-playbook

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