| name | pi-intercom |
| description | Streamline session-to-session coordination with pi-intercom. Send messages,
delegate tasks, and coordinate work across multiple pi sessions on the same
machine. Use for planner-worker workflows, cross-session context sharing,
and real-time collaboration between sessions.
|
Pi Intercom Skill
Use this skill when you need to coordinate work across multiple pi sessions
running on the same machine. Pi-intercom enables direct 1:1 messaging between
sessions for delegation, context sharing, and collaborative workflows.
When you are supervising pi-subagents, delegated child agents can escalate to
you via contact_supervisor if pi-subagents supplied child bridge metadata.
This skill covers how to handle those orchestrator-side escalations.
When to Use
- Task delegation: Split work between a planner session and worker sessions
- Context handoffs: Send findings from a research session to an execution session
- Clarification loops: Worker asks questions, planner answers, work continues
- Multi-session workflows: Coordinate between specialized sessions (frontend/backend, research/implementation)
Core Patterns
Pattern 1: Planner-Worker Delegation
The most common pattern. One session holds the big picture, others do hands-on work.
Setup (in each session):
/name planner # Terminal 1
/name worker # Terminal 2
Planner delegates a task (fire-and-forget):
intercom({
action: "send",
to: "worker",
message: "Task-3: Add retry logic to API client. Key files: src/api/client.ts. Ask if anything's unclear."
})
Worker asks for clarification (blocks until answer):
intercom({
action: "ask",
to: "planner",
message: "Should I use exponential backoff or fixed intervals?"
})
Worker reports completion:
intercom({
action: "ask",
to: "planner",
message: "Task-3 complete. Added exponential backoff (100ms → 1600ms, max 5 retries). Ready for task-4?"
})
Pattern 2: Quick Status Check
Before sending, verify who's connected:
intercom({ action: "list" })
Pattern 3: Reply Naturally
When responding to an inbound ask, prefer reply instead of reconstructing raw IDs:
intercom({
action: "reply",
message: "Use exponential backoff starting at 100ms."
})
intercom({ action: "pending" })
intercom({ action: "reply", to: "planner", message: "Use exponential backoff starting at 100ms." })
reply still preserves exact threading under the hood by sending the response with the original replyTo value.
Pattern 4: Broadcast to Multiple Workers
Send to multiple sessions in parallel:
const workers = ["worker-1", "worker-2", "worker-3"];
const task = "Check for null pointer exceptions in your assigned files";
workers.forEach(w =>
intercom({ action: "send", to: w, message: task })
);
Pattern 5: Send with Attachments
Share code snippets, files, or context:
intercom({
action: "send",
to: "worker",
message: "Here's the fix for the auth issue:",
attachments: [{
type: "snippet",
name: "auth.ts",
language: "typescript",
content: `function validateUser(user: User | null) {
if (!user) throw new Error("User required");
return user.email?.includes("@");
}`
}]
})
Pattern 6: Handle Subagent Escalations (Orchestrator Side)
When pi-subagents spawns a delegated child and supplies child bridge metadata,
that child can reach you through contact_supervisor. You receive a formatted
message that includes run metadata:
**From subagent-worker-78f659a3-1**
Subagent needs a supervisor decision.
Run: 78f659a3
Agent: worker
Child index: 0
Which API should I use?
Reply using reply:
intercom({ action: "reply", message: "Use the stable v2 API." })
This works because reply resolves the correct sender and message ID automatically.
Three types of escalations to expect:
| Type | What it means | How to respond |
|---|
need_decision | Subagent is blocked and waiting for your answer. Has a 10-minute timeout. | Reply promptly with a clear decision. If you need more context, ask follow-up questions via reply. |
interview_request | Subagent needs multiple structured answers in one blocking exchange. Has a 10-minute timeout. | Reply with plain JSON or a fenced json block using the provided { "responses": [...] } shape. |
progress_update | Subagent is sharing meaningful progress or a plan-changing discovery. Not blocking. | Read and acknowledge. No reply required unless you want to redirect. |
When a subagent asks:
intercom({ action: "reply", message: "Use exponential backoff, max 3 retries." })
When a subagent sends an interview request:
Read the rendered questions in the incoming message and reply with the exact ids in JSON. info questions are context-only and do not need response entries:
intercom({
action: "reply",
message: "```json\n{\n \"responses\": [\n { \"id\": \"api\", \"value\": \"Stable API\" },\n { \"id\": \"constraints\", \"value\": \"Keep the public error shape unchanged.\" }\n ]\n}\n```"
})
If you receive multiple pending asks from different subagents:
intercom({ action: "pending" })
intercom({ action: "reply", to: "subagent-worker-78f659a3-1", message: "Use the v2 API." })
Important: Only sessions where pi-subagents supplied child bridge metadata
get the contact_supervisor tool. Normal sessions use the regular intercom
tool. If you see the formatted supervisor decision/progress update message, treat
it as a contact_supervisor escalation.
Key Differences
| Action | Behavior | Use When |
|---|
send | Fire-and-forget | You don't need a response |
ask | Blocks until reply (10 min timeout) | You need an answer to continue |
reply | Responds to the active or pending inbound ask | You were asked something and need to answer naturally |
pending | Lists unresolved inbound asks | You need to see who is waiting before replying |
list | Returns all sessions with live status | You need to discover targets or choose an idle peer |
status | Returns your connection state | Troubleshooting |
Optional: Visible Peer Sessions via cmux or tmux
If no suitable intercom-connected peer session already exists and the task benefits from a long-lived visible conversation, you may spawn a new pi session.
Prefer cmux new-split right over new surfaces or workspaces so both sessions are visible side by side.
If cmux is unavailable, tmux is an optional fallback when it is installed and relevant. Use it with a private socket so the session is isolated and observable.
Use spawned peer sessions only for:
- same-codebase worker/planner splits
- reference-codebase scouting
- long-lived visible conversations where the user benefits from watching both sides
Do not use this for unrelated repos, trivial questions, or work you can finish cleanly in the current session.
Preferred: cmux Worker or Scout Session
Same codebase:
cmux new-split right
sleep 0.5
cmux send --surface right 'cd /path/to/current/repo && pi\n'
Reference codebase:
cmux new-split right
sleep 0.5
cmux send --surface right 'cd /path/to/reference/repo && pi\n'
Optional Fallback: tmux Worker or Scout Session
Same codebase:
SOCKET_DIR=${TMPDIR:-/tmp}/pi-tmux-sockets
mkdir -p "$SOCKET_DIR"
SOCKET="$SOCKET_DIR/pi.sock"
SESSION=pi-worker
tmux -S "$SOCKET" new -d -s "$SESSION" -c "/path/to/current/repo" 'pi'
Reference codebase:
SOCKET_DIR=${TMPDIR:-/tmp}/pi-tmux-sockets
mkdir -p "$SOCKET_DIR"
SOCKET="$SOCKET_DIR/pi.sock"
SESSION=pi-reference-auth
tmux -S "$SOCKET" new -d -s "$SESSION" -c "/path/to/reference/repo" 'pi'
When you use tmux, tell the user how to watch it:
tmux -S "$SOCKET" attach -t "$SESSION"
After launch, name the new session clearly so it is easy to target:
/name worker
/name reference-auth
Then coordinate from the current session:
intercom({
action: "send",
to: "worker",
message: "Take task X. Ask if blocked."
})
intercom({
action: "ask",
to: "reference-auth",
message: "How does this repo structure token refresh retries?"
})
Spawn Decision Rule
Spawn a visible peer session only when all of these are true:
- no existing intercom-connected session already fits the need
- the work benefits from a long-lived visible peer session
- the peer session is either in the same codebase or in an intentional reference codebase
cmux is available, or tmux is available as an intentional fallback
If neither cmux nor tmux is available, skip this path and use normal intercom workflows.
Important Constraints
ask Limitations
- 10-minute timeout: If no reply comes within 10 minutes, the ask fails
- One at a time: Cannot have multiple pending asks from the same session
- Cannot self-target: A session cannot ask itself
const result = await intercom({ action: "ask", to: "planner", message: "..." });
if (result.isError && result.content[0].text.includes("Already waiting")) {
}
send Behavior
- No timeout: Message is delivered or fails immediately
- Confirmation dialogs: If
confirmSend: true in config, interactive sessions show a confirmation dialog
- Replies skip confirmation: Messages with
replyTo never show confirmation dialogs
Best Practices
Use ask for blocking workflows
When the worker needs information to proceed:
const reply = await intercom({
action: "ask",
to: "planner",
message: "API rate limit is 100/min. Should I implement client-side throttling or batching?"
});
Use send for notifications
When you just want to inform:
intercom({
action: "send",
to: "reviewer",
message: "PR #123 is ready for review. Key changes in auth.ts."
});
Include reply hints in messages
Make it easy for recipients to respond:
intercom({
action: "send",
to: "worker",
message: `Found the issue in auth.ts:142. Use getUserById() instead of getUser().
Reply with: intercom({ action: "reply", message: "..." })`
});
Name sessions meaningfully
Use /name so others can target you easily:
/name api-worker
/name frontend-dev
/name planner
Error Handling
Common Errors and Solutions
"Already waiting for a reply"
intercom({ action: "send", to: "planner", message: "..." });
"Cannot message the current session"
"Session not found"
const result = await intercom({ action: "send", to: "worker", message: "..." });
if (!result.delivered) {
console.log("Failed:", result.reason);
await intercom({ action: "list" });
}
Ask timeout (after 10 minutes)
Troubleshooting
Session not appearing in list
- Check intercom is enabled:
intercom({ action: "status" })
- Verify the target session has loaded pi-intercom
- Ensure both sessions are on the same machine (intercom is same-machine only)
Message not delivered
const result = await intercom({ action: "send", to: "worker", message: "..." });
if (!result.delivered) {
console.log("Failed:", result.reason);
}
Connection lost
Sessions automatically reconnect if the broker restarts. If persistently disconnected:
intercom({ action: "status" })
Common Workflows
Research → Implementation Handoff
intercom({
action: "send",
to: "impl-session",
message: "Found the bug. The issue is in validateUser() - it doesn't check for null.",
attachments: [{
type: "snippet",
name: "validate.ts",
language: "typescript",
content: `// Line 45-52 - missing null check
function validateUser(user: User) {
return user.email?.includes("@"); // crashes if user is null
}`
}]
});
Pair Debugging
intercom({
action: "ask",
to: "session-b",
message: "Getting 'Cannot read property of undefined' at line 78. Can you check if data.users is populated before this call?"
});
intercom({
action: "reply",
message: "data.users is null. The fetch failed silently. Add error handling in loadUsers()."
});
Progress Reporting
intercom({ action: "send", to: "planner", message: "Task-1 complete (15min). Starting Task-2." });
intercom({ action: "send", to: "planner", message: "Task-2 complete (30min). Task-3 blocked - need API key." });
intercom({ action: "send", to: "planner", message: "Task-3 complete. All done." });
Long-Running Task with Checkpoints
intercom({
action: "send",
to: "worker",
message: "Implement user authentication. This will take 30+ minutes. I'll check in at milestones."
});
intercom({ action: "send", to: "planner", message: "Milestone 1: Login form complete (10min)" });
const decision = await intercom({
action: "ask",
to: "planner",
message: "Should we use JWT or session cookies? Need decision to continue."
});