| name | create-heartbeat |
| description | Create a new heartbeat (proactive agent scheduled with a decision prompt) for EvoNexus. Guides the user through picking an agent, setting interval, wake triggers, and the decision prompt that governs when the agent acts. Writes to config/heartbeats.yaml with pydantic validation. Use when the user says 'create a heartbeat', 'make X agent proactive', 'wake Y every 4h', 'automate X to check state and act', or wants to turn a manual state check into a scheduled protocol-run. |
Create Heartbeat
Auth note: For any API calls use from dashboard.backend.sdk_client import evo — auto-handles URL + auth, no Bearer token needed in code.
Create a new heartbeat — a proactive agent that wakes on a schedule, runs the 9-step protocol, and decides whether to act.
When to use
Use heartbeats when:
- The agent should check state and conditionally act (e.g., Atlas checks Linear for blockers)
- You want no work when state is calm (vs routines which always run)
- The same topic is picked from an inbox of tickets (heartbeats query tickets in step 3)
Don't use heartbeats for:
- Deterministic scheduled jobs (use a routine)
- One-off actions (use a skill or ticket)
Step 1: Understand the trigger
Ask the user:
- Which agent? List agents from
.claude/agents/*.md. Suggest by domain:
atlas-project — project tracking (Linear, GitHub)
flux-finance — payments, billing
zara-cs — support queue
pulse-community — community sentiment
pixel-social-media — scheduled posting
- How often? Interval in minutes / hours. Min 60s. Typical: 2h, 4h, 6h.
- What state to check? This becomes the
decision_prompt.
- Link to a goal? Optional
goal_id for context injection. Skip if no goal fits.
Step 2: Compose the decision prompt
The decision_prompt is injected into the agent's context and asks the agent:
"Given the current state of [X], should you act? If yes, do the work and report. If no, explain briefly and skip."
Good decision prompts are specific:
✅ "Check Linear for issues in In Progress assigned to an unresponsive person (> 48h inactive) or blocked > 24h. If any, create action items and notify Davidson. Otherwise skip."
❌ "Check stuff" (too vague — will always act or always skip randomly)
Step 3: Pick wake triggers
Default: interval + manual. Optional:
new_task — wake when a ticket is assigned
mention — wake when @<agent-slug> appears in a comment
approval_decision — wake when an approval affects this agent
30s debounce prevents multiple triggers coalescing into multiple runs.
Step 4: Required secrets (optional)
If the decision/work requires API keys (Stripe, Linear, etc.), list them as required_secrets. They'll be validated at startup (presence, not value).
Step 5: Write to YAML
Append the new heartbeat to config/heartbeats.yaml:
heartbeats:
- id: <agent-slug>-<interval>h
agent: <agent-slug>
interval_seconds: <N>
max_turns: 10
timeout_seconds: 600
lock_timeout_seconds: 1800
wake_triggers: [interval, manual]
enabled: false
goal_id: null
required_secrets: []
decision_prompt: |
<the prompt from step 2>
Validate with make heartbeat-lint before suggesting the user enables.
Step 6: Guide the user
After writing:
- Run
make heartbeat-lint to validate
- Test manually: UI
/scheduler → Heartbeats tab → Run Now on this heartbeat
- Review the run in
workspace/ADWs/logs/heartbeats/<id>-<date>.jsonl
- If the decision quality is right, flip
enabled: true and restart dashboard
Notes
- Source of truth is the YAML. UI CRUD rewrites it atomically (temp file + rename).
- Delete a heartbeat via
/scheduler → Heartbeats → Delete, or remove the entry from YAML and restart.
- Heartbeat cost appears in
/costs once runs start generating heartbeat_runs rows.
Related: .claude/rules/heartbeats.md, .claude/rules/tickets.md (inbox), .claude/rules/goals.md (context).