Guide · Agent skill
How to use the Watchdog Continuity Checks agent skill
Updated · written with AI from the project's own documentation and checked against our catalogue data
The watchdog skill teaches an AI agent how to set up and reason about watchdog interventions in multi-agent workflows that run for a long time. It helps you choose the lightest nudge that fits: a wake to restart motion, a refocus to re-center on approved work, or an alignment checkpoint for a fuller pause. After this guide you will know what the skill does, how to install it, how to ask for it, and when not to use it.
Quick start
- 1Confirm you have the required system. The skill assumes the openrig rig system with the rig watchdog command. Without it, the guidance has no tools to act on.
- 2Download and unzip the skill. Download the watchdog ZIP from this page and unzip it into ~/.claude/skills/ or a project's .claude/skills/ folder.
- 3Or upload it in the Claude apps. Open Settings → Capabilities → Skills and upload the skill.
- 4Describe your workflow and symptom. Tell the agent which workflow you run and what is happening, such as an idle owner after a handoff or drift at a phase boundary.
- 5Pick the lightest fitting intervention. Let the agent classify the situation as wake, refocus, alignment checkpoint, or no-op, preferring no-op for active owners.
- 6Write the message and set cadence. Draft the nudge text using the checklist, and keep scan and wake intervals separate and conservative.
What the watchdog skill makes the agent do
Watchdog covers continuity checks: timed or evidence-triggered interventions that keep an agent workflow from going idle, drifting, or adding unnecessary bureaucracy. The skill defines a three-level stack. A wake is a small liveness nudge that restarts motion and does not reframe the work. A refocus is a medium alignment nudge that re-centers the agent on its role, the current approved workstream and its stop conditions without interrupting valid work. An alignment checkpoint is a larger, deliberate pause in which the agent runs a full refocus before proceeding.
The skill stresses that scheduling tools such as cron, timers and rig watchdog should not decide the action. The intervention level is chosen by evidence, not by how often a tick fires.
- Wake: owner appears idle, stale, blocked, or missing a next handoff.
- Refocus: output shows mode drift, approval regression, or weak stop-condition reasoning.
- Alignment checkpoint: phase boundary, lifecycle change, product-intent decision, or a confusing contradiction.
Install the watchdog skill
Download the watchdog ZIP from this page and unzip it into one of two places. For a personal setup, use ~/.claude/skills/. For a single project, use the .claude/skills/ folder inside that project.
You can also upload the skill in the Claude apps under Settings → Capabilities → Skills.
- Personal: unzip into ~/.claude/skills/
- Project only: unzip into .claude/skills/ in the project folder
- Claude apps: Settings → Capabilities → Skills, then upload
Trigger the skill with natural requests
You do not need a special command. The skill is meant to load when your request matches its description. Ask in plain language about the thing you are doing: setting a watchdog policy, deciding how hard to nudge a stalled agent, or writing the text of a wake or refocus message.
Name the workflow and the symptom when you can. The more specific the situation, the easier it is for the agent to pick the right level.
- "Set up a watchdog policy for our long-running rig that has artifact-pool edges."
- "The producer seat has been idle after its handoff. Should I wake it or refocus it?"
- "Draft a refocus message for the reviewer that says finish the current action first."
- "We're at a phase boundary. Do we need an alignment checkpoint?"
Write good wake and refocus messages
The skill gives a checklist for refocus text. It should start with finish current action first, name the intervention kind, and name the current approved workstream or say that none is known. It should state what continuity means (continue, verify, hand off, or explicitly park) and list the stop conditions, such as scope or risk changes, a failed gate, contradictory evidence, or no continuity chain naming a next step.
A good message must not turn itself into a new approval gate, and it should not wake delivery seats unless an approved workflow exists and the owner is stale.
- Start with: finish current action first.
- Name the intervention: wake, refocus, or alignment checkpoint.
- Name the approved workstream, or say none is known.
- State continuity: continue, verify, hand off, or park.
- List stop conditions.
- Do not ask for re-approval of approved work.
Choose cadence without flooding agents
The skill separates scan cadence from wake cadence. The scan checks state often; the wake fires much less often and only while work remains actionable. The skill's worked example is a scan every 30 seconds with wakes at most every 600 seconds, and it says the numbers are illustrative. The durable rule is the separation itself.
The skill lists seven failure modes to avoid. The most common are cadence that is too frequent, waking the wrong seat, static repeated reminders that teach agents to answer the reminder instead of advancing the artifact, and refocus messages misread as a new top-priority task.
- Prefer one workflow watchdog plus targeted exceptions over many per-seat nag loops.
- Use queue nudges instead of a watchdog policy when a clear next handoff is already queued.
- Fix bad startup or workflow design rather than compensating with a watchdog.
Use artifact-pool loop edges
The skill describes one evidence-aware pattern. A consumer-pool wake fires when a ready artifact exists, waking the consumer loop head. A producer-edge repair fires when upstream completion exists but the downstream artifact is missing, waking the producer loop head.
The skill frames this as a guardrail against cold pools and missing edge artifacts, not as a general workflow engine.
What people use it for
- Setting a watchdog policy for a long-running multi-agent rig with artifact-pool edges.
- Deciding whether a stale owner needs a wake or a refocus.
- Drafting refocus text that tells an agent to finish its current action first.
- Deciding whether a phase boundary needs an alignment checkpoint.
Frequently asked questions
What is the watchdog agent skill?
It is a skill that teaches an AI agent how to set up and choose watchdog interventions in multi-agent workflows. It covers the three levels of wake, refocus and alignment checkpoint, plus how to write nudge messages without flooding agents.
How do I install the watchdog skill?
Download the ZIP from this page and unzip it into ~/.claude/skills/ for personal use or into .claude/skills/ in a project. You can also upload it in the Claude apps under Settings → Capabilities → Skills.
What does the watchdog skill require?
It requires the openrig rig system with the rig watchdog command. It also refers to related skills named refocus, queue-handoff and looping-workflows. The skill is written for that ecosystem and does not apply to environments without it.
Is the watchdog skill free?
The source for this skill is licensed under Apache-2.0. Check the license file in the repository for the terms that apply to your use.
Does the watchdog skill run scripts or use the network?
No. This skill does not run scripts and does not use the network. It consists of a SKILL.md instruction file.
When should I not use the watchdog skill?
Skip it for single-agent, short tasks where a scheduled nudge adds nothing, for active owners who are closing artifacts, and for workflows with no approved plan or clear handoff. The skill itself says to prefer no-op for active owners.
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Our verdict
Use watchdog if you run long multi-agent workflows in the openrig rig system and need a disciplined way to nudge stalled or drifting agents without flooding them. Pick something else if you work alone on short tasks, have no approved plan, or do not use rig, since the guidance depends on that ecosystem.
Download the skill