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create-heartbeat

@evolution-foundation · 收录于 5 天前 · 上游提交 2 个月前

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.

适合你,如果需要在EvoNexus中让agent按计划自动执行决策任务

/ 通过 npx 安装 校验哈希
npx oh-my-skill add evolution-foundation/evo-nexus/create-heartbeat
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- evolution-foundation/evo-nexus/create-heartbeat
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify evolution-foundation/evo-nexus/create-heartbeat
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 7f5dd76 · 表述以原文为准
它做什么

Claude 能按你设定的时间间隔主动检查指定代理的状态,并根据决策提示决定是否执行任务,然后将结果记录到配置文件中。

什么时候触发

当你要求创建一个心跳、让某个代理变成主动模式、按指定时间唤醒代理,或自动化检查状态并行动时触发。

装好后可以这样说
Claude会引导你选择代理、设置间隔和决策提示。
Claude会配置心跳并写入YAML文件。
你需要提供代理、间隔和决策条件。
技能原文 SKILL.md作者撰写 · Apache-2.0 · 7f5dd76

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:

  1. Which agent? List agents from .claude/agents/*.md. Suggest by domain:
  2. atlas-project — project tracking (Linear, GitHub)
  3. flux-finance — payments, billing
  4. zara-cs — support queue
  5. pulse-community — community sentiment
  6. pixel-social-media — scheduled posting
  7. How often? Interval in minutes / hours. Min 60s. Typical: 2h, 4h, 6h.
  8. What state to check? This becomes the decision_prompt.
  9. 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            # opt-in — user enables after testing
    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:

  1. Run make heartbeat-lint to validate
  2. Test manually: UI /scheduler → Heartbeats tab → Run Now on this heartbeat
  3. Review the run in workspace/ADWs/logs/heartbeats/<id>-<date>.jsonl
  4. 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).

按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →

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