How do I install the Rlm Heartbeat skill?

Run npx skillmds@latest add primeintellect-ai/rlm-heartbeat in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Rlm Heartbeat safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Rlm Heartbeat?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Rlm Heartbeat free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Rlm Heartbeat?

primeintellect-ai (@primeintellect-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Rlm Heartbeat by primeintellect-ai — Agent Skill

Name: Rlm Heartbeat
Author: primeintellect-ai

Rlm Heartbeat

Manage agent-owned RLM heartbeats from the Python REPL. Use when the user asks the agent to start, create, schedule, or manage a heartbeat, unless they explicitly request the user's /heartbeat.

primeintellect-ai 98b3c7c 3 files · 7.1 KB Updated Sep 17, 2026

File contents

RLM Heartbeat

RLM heartbeats are internal recurring prompts for the current agent session. They are separate from the user's visible /heartbeat: this skill cannot read, replace, pause, resume, or clear that user-level heartbeat.

Call directly from the Python REPL:

await rlm_heartbeat.create("check test progress", interval="5m", label="tests")
await rlm_heartbeat.create("watch build", delivery_mode="follow_up")
await rlm_heartbeat.list()
await rlm_heartbeat.update("job-id", status="pause")
await rlm_heartbeat.delete("job-id")

API

await rlm_heartbeat.list(include_inactive=False) — list this session's internal RLM heartbeats. By default this includes active and paused entries.
await rlm_heartbeat.create(instruction, interval=None, label=None, delivery_mode=None) — create a recurring heartbeat for this session. The default interval is every 5 minutes. Multiple RLM heartbeats may run at once; use labels to distinguish them. delivery_mode is "steer" (default) or "follow_up".
await rlm_heartbeat.update(id, instruction=None, interval=None, label=None, status=None, delivery_mode=None) — update one RLM heartbeat by id. status may be "pause" or "resume"; delivery_mode may be "steer" or "follow_up".
await rlm_heartbeat.delete(id) — cancel one RLM heartbeat by id.

Delivery mode

Each heartbeat has a delivery mode controlling how the scheduled prompt reaches the session when it is busy:

steer (default): interrupt the current turn so the heartbeat runs promptly.
follow_up: wait for the current turn to finish before running the heartbeat.

Rules

Use this when the user asks you to start, create, schedule, or manage your own heartbeat without explicitly referring to /heartbeat.
Use this only for agent-internal recurring checks and long-running task coordination.
Do not use this skill to satisfy a user's request to configure /heartbeat; that is a separate user-level surface.
Keep heartbeat instructions specific and actionable so each recurring turn knows exactly what to inspect or continue.

---name: rlm-heartbeatdescription: Manage agent-owned RLM heartbeats from the Python REPL. Use when the user asks the agent to start, create, schedule, or manage a heartbeat, unless they explicitly request the user's /heartbeat.---# RLM HeartbeatRLM heartbeats are internal recurring prompts for the current agent session.They are separate from the user's visible `/heartbeat`: this skill cannot read,replace, pause, resume, or clear that user-level heartbeat.Call directly from the Python REPL:```pythonawait rlm_heartbeat.create("check test progress", interval="5m", label="tests")await rlm_heartbeat.create("watch build", delivery_mode="follow_up")await rlm_heartbeat.list()await rlm_heartbeat.update("job-id", status="pause")await rlm_heartbeat.delete("job-id")```## API- `await rlm_heartbeat.list(include_inactive=False)` — list this session's internal RLM heartbeats. By default this includes active and paused entries.- `await rlm_heartbeat.create(instruction, interval=None, label=None, delivery_mode=None)` — create a recurring heartbeat for this session. The default interval is every 5 minutes. Multiple RLM heartbeats may run at once; use labels to distinguish them. `delivery_mode` is `"steer"` (default) or `"follow_up"`.- `await rlm_heartbeat.update(id, instruction=None, interval=None, label=None, status=None, delivery_mode=None)` — update one RLM heartbeat by id. `status` may be `"pause"` or `"resume"`; `delivery_mode` may be `"steer"` or `"follow_up"`.- `await rlm_heartbeat.delete(id)` — cancel one RLM heartbeat by id.## Delivery modeEach heartbeat has a delivery mode controlling how the scheduled prompt reachesthe session when it is busy:- `steer` (default): interrupt the current turn so the heartbeat runs promptly.- `follow_up`: wait for the current turn to finish before running the heartbeat.## Rules- Use this when the user asks you to start, create, schedule, or manage your own heartbeat without explicitly referring to `/heartbeat`.- Use this only for agent-internal recurring checks and long-running task coordination.- Do not use this skill to satisfy a user's request to configure `/heartbeat`; that is a separate user-level surface.- Keep heartbeat instructions specific and actionable so each recurring turn knows exactly what to inspect or continue.

Frequently asked questions