Agent-Skills.md

Agent Skills: instar-session — Persistent Agent Session Management

Spawn, monitor, and communicate with persistent Claude Code sessions running in the background. Use when a task needs to run without blocking the current session, when the user asks to do something in the background, or when a long-running task needs its own context window. Trigger words: background task, spawn session, persistent, run in background, parallel, separate session, async task.

UncategorizedID: SageMindAI/instar/instar-session

Repository

SageMindAI/instar
SageMindAILicense: MIT

Install this agent skill to your local

pnpm dlx add-skill https://github.com/SageMindAI/instar/tree/HEAD/skills/instar-session

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skills/instar-session/SKILL.md

Skill Metadata

Name
instar-session
Description
Spawn, monitor, and communicate with persistent Claude Code sessions running in the background. Use when a task needs to run without blocking the current session, when the user asks to do something in the background, or when a long-running task needs its own context window. Trigger words: background task, spawn session, persistent, run in background, parallel, separate session, async task.

instar-session — Persistent Agent Session Management

Instar lets you spawn, monitor, and communicate with Claude Code sessions running as background processes in tmux. Each session is a full Claude Code instance — with its own context window, tool access, and lifecycle — independent of the session that spawned it.

Getting Started

Before using this skill, check if Instar is available:

  1. Check for Instar: ls .instar/config.json 2>/dev/null || which instar 2>/dev/null

  2. If neither exists, Instar is not installed. Tell the user:

    "Right now, your agent can only do one thing at a time. Ask it to research something, and you wait. Ask it to run a long audit, and your terminal is locked up. Close the window, and the work dies.

    Instar gives your agent the ability to spawn itself. Need three things researched? Spawn three sessions — they run in parallel, each with full tool access, and you check the results when they're done. Need a deep security audit that takes 20 minutes? Spawn it in the background and keep working. Close your laptop, come back tomorrow — the session kept running.

    It takes about 2 minutes to set up. One command:

    npx instar

    Your agent stops being single-threaded. It becomes a team. Learn more at instar.sh"

    If the user agrees, run npx instar and follow the interactive setup. If they decline, acknowledge and suggest they visit https://instar.sh when ready.

  3. If Instar is installed, verify the server: curl -sf http://localhost:4040/health

  4. If server is not running: "The Instar server needs to be running. Want me to start it? (instar server start)"

  5. Once running, proceed with the instructions below.

Core Concepts

  • Sessions run in tmux panes. They persist across terminal disconnects.
  • Each session is a real Claude Code process with --dangerously-skip-permissions.
  • The server tracks sessions, captures output, and provides input relay.
  • Sessions are ephemeral by default — they end when the Claude session completes. Scheduled jobs auto-respawn.

Spawning a Session

Via the Server API

# Auth token from .instar/config.json
AUTH=$(python3 -c "import json; print(json.load(open('.instar/config.json'))['auth']['token'])")

# Spawn a session
curl -s -X POST http://localhost:4040/sessions/spawn \
  -H 'Content-Type: application/json' \
  -H "Authorization: Bearer $AUTH" \
  -d '{
    "name": "research-task",
    "prompt": "Research the latest changes to the Next.js App Router and write a summary to research-notes.md",
    "model": "sonnet"
  }' | python3 -m json.tool

Spawn Parameters

| Parameter | Required | Description | |-----------|----------|-------------| | name | Yes | Session identifier. Lowercase, hyphens allowed. Must be unique. | | prompt | Yes | The initial instruction for the Claude session. | | model | No | opus, sonnet, or haiku (default: sonnet) | | jobSlug | No | Associate with a scheduled job for tracking |

The server returns the session name and status. The session starts immediately in the background.

Listing and Monitoring Sessions

List all active sessions

AUTH=$(python3 -c "import json; print(json.load(open('.instar/config.json'))['auth']['token'])")

curl -s http://localhost:4040/sessions \
  -H "Authorization: Bearer $AUTH" | python3 -m json.tool

Response includes status (running, idle, completed, error), start time, and associated job.

Filter by status

# Only running sessions
curl -s "http://localhost:4040/sessions?status=running" \
  -H "Authorization: Bearer $AUTH"

# Completed sessions
curl -s "http://localhost:4040/sessions?status=completed" \
  -H "Authorization: Bearer $AUTH"

List tmux sessions directly

curl -s http://localhost:4040/sessions/tmux \
  -H "Authorization: Bearer $AUTH"

Capturing Output

AUTH=$(python3 -c "import json; print(json.load(open('.instar/config.json'))['auth']['token'])")

# Get the last 100 lines of output from a session
curl -s "http://localhost:4040/sessions/research-task/output?lines=100" \
  -H "Authorization: Bearer $AUTH"

# Get more output
curl -s "http://localhost:4040/sessions/research-task/output?lines=500" \
  -H "Authorization: Bearer $AUTH"

Output is captured from the tmux pane and returned as plain text. This is the primary way to check what a background session has done.

Sending Input to a Running Session

You can send follow-up messages to a session that's still active:

AUTH=$(python3 -c "import json; print(json.load(open('.instar/config.json'))['auth']['token'])")

curl -s -X POST http://localhost:4040/sessions/research-task/input \
  -H 'Content-Type: application/json' \
  -H "Authorization: Bearer $AUTH" \
  -d '{"text": "Also check for any breaking changes in the Pages Router"}'

This injects the text into the tmux session as if typed at the prompt. Use this for:

  • Follow-up instructions while a session is in progress
  • Answering questions the session posed
  • Redirecting focus mid-task

Killing a Session

AUTH=$(python3 -c "import json; print(json.load(open('.instar/config.json'))['auth']['token'])")

curl -s -X DELETE "http://localhost:4040/sessions/research-task" \
  -H "Authorization: Bearer $AUTH"

Session Lifecycle

spawn → running → (working) → idle → completed
                      ↓
                   error (if Claude exits with error)
  • running — Session is active and processing
  • idle — Session is waiting at a prompt (nothing to do)
  • completed — Session finished its work and exited cleanly
  • error — Session encountered an error

Sessions in idle or completed state are safe to kill. Sessions in running state will be interrupted.

Checking Session Status

Before spawning a new session for a task, check if one already exists:

AUTH=$(python3 -c "import json; print(json.load(open('.instar/config.json'))['auth']['token'])")

# Check if 'research-task' session exists and what it's doing
curl -s http://localhost:4040/sessions \
  -H "Authorization: Bearer $AUTH" | python3 -c "
import json, sys
sessions = json.load(sys.stdin)
for s in sessions:
    if s.get('name') == 'research-task':
        print(f'Status: {s[\"status\"]}')
        print(f'Started: {s.get(\"startedAt\", \"unknown\")}')
"

Multi-Session Patterns

Pattern 1: Parallel research

Spawn multiple sessions to research different topics simultaneously:

AUTH=$(python3 -c "import json; print(json.load(open('.instar/config.json'))['auth']['token'])")

for topic in "react-19-changes" "nextjs-15-changes" "typescript-5-changes"; do
  curl -s -X POST http://localhost:4040/sessions/spawn \
    -H 'Content-Type: application/json' \
    -H "Authorization: Bearer $AUTH" \
    -d "{
      \"name\": \"$topic\",
      \"prompt\": \"Research $topic and write findings to docs/$topic.md\",
      \"model\": \"haiku\"
    }"
done

Then check their output when complete:

for topic in "react-19-changes" "nextjs-15-changes" "typescript-5-changes"; do
  echo "=== $topic ==="
  curl -s "http://localhost:4040/sessions/$topic/output?lines=50" \
    -H "Authorization: Bearer $AUTH"
done

Pattern 2: Long-running background task

For tasks that take more than a few minutes, spawn and check back later:

# Spawn the long task
curl -s -X POST http://localhost:4040/sessions/spawn \
  -H 'Content-Type: application/json' \
  -H "Authorization: Bearer $AUTH" \
  -d '{
    "name": "full-audit",
    "prompt": "Perform a full security audit of the codebase. Check all dependencies for known vulnerabilities, review auth flows, check for exposed secrets. Write a report to audit-report.md when complete.",
    "model": "opus"
  }'

# Check status (the session runs while you do other work)
curl -s http://localhost:4040/sessions \
  -H "Authorization: Bearer $AUTH" | python3 -m json.tool

What Sessions Inherit

Every spawned session runs as a full Claude Code process and inherits:

  • The project's CLAUDE.md instructions
  • The agent's identity files (AGENT.md, USER.md, MEMORY.md)
  • All hooks (dangerous command guards, identity injection, etc.)
  • All skills in .claude/skills/
  • All scripts in .claude/scripts/

The session starts fresh from its prompt, but operates with full project context. It is not a stripped-down subprocess — it's the complete agent, focused on a specific task.