Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
The English summary is being prepared. Showing the original description.
Message an agent's parent, siblings, or direct children through the daemon. Use the family roster to discover reachable agents and send direct text without spoofing sender identity.
The English summary is being prepared. Showing the original description.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Send direct messages within the current agent's nuclear family through the
local daemon: parent, siblings, and direct children only. Roots are siblings.
The daemon derives your sender identity from the current session; do not try
to include a from field.
Call directly from the kernel:
children = await rlm.list_subagents()
child = next((item for item in children if item.active_session_id), None)
if child is not None:
receipt = await agent_message.send(
"Please inspect the latest result.",
receiver_role="child",
receiver_name=child.session_name,
)
# Keep the child until this follow-up finishes so its result remains observable.
await agent_message.list_agents() — returns current (name, id, depth)
and family-scoped entries (relationship, name, id, depth, status)
for the current agent's parent, siblings, and children. It includes inactive
family members and sorts parent, siblings by name, then children by name; it
does not expose a global daemon session list.await agent_message.send(message, receiver_role="parent" | "sibling" | "child", receiver_name=None) — sends one direct
text message to an active session. Sending to an idle completed subagent
starts an ordinary follow-up turn in that same child session and context.
The child remains available only until its parent session closes. The daemon
resolves receiver_role within the current agent family; receiver_name is
required for siblings and children and omitted for the unique parent.
send("all", message) broadcasts only to the family roster and returns
{receipts: [...]} in roster order; successful entries are ordinary receipts
and failed entries contain the target id and a short error. One failed delivery
does not reject successful deliveries. Messages always use steering delivery so
a busy target sees them during its active run. Returns a receipt with a
deliveryStatus field: "delivered" means the message reached an idle target's
context; "queued" means a steering message was accepted and will deliver when
the target's current work allows (send does not block waiting for that).
Delivered receipts carry deliveredAt, queued receipts carry queuedAt.send: delivered follow-ups may still
be running and queued receipts have not run yet. Wait until observation shows
the child is idle and its context is no longer needed before calling
await rlm.delete_subagent(child).No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
The English summary is being prepared. Showing the original description.
Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.
The English summary is being prepared. Showing the original description.
Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.
The English summary is being prepared. Showing the original description.
Build integrated IS/BS/CF financial workbooks in Excel.
The English summary is being prepared. Showing the original description.
Entry point for 9Router — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. Use when the user mentions 9Router, NINEROUTER_URL, or wants AI without writing provider boilerplate. This skill covers setup + indexes capability skills; fetch the relevant capability SKILL.md from the URLs below when needed.
The English summary is being prepared. Showing the original description.
Chat / code generation via 9Router using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos. Use when the user wants to ask an LLM, generate code, summarize text, or run prompts through 9Router.
The English summary is being prepared. Showing the original description.