Claude-skills spawn

Launch N parallel subagents in isolated git worktrees to compete on the session task.

install

source · Clone the upstream repo

git clone https://github.com/alirezarezvani/claude-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/alirezarezvani/claude-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/engineering/agenthub/skills/spawn" ~/.claude/skills/alirezarezvani-claude-skills-spawn-53e0d5 && rm -rf "$T"

manifest: engineering/agenthub/skills/spawn/SKILL.md

/hub:spawn — Launch Parallel Agents

Spawn N subagents that work on the same task in parallel, each in an isolated git worktree.

Usage

/hub:spawn                                    # Spawn agents for the latest session
/hub:spawn 20260317-143022                    # Spawn agents for a specific session
/hub:spawn --template optimizer               # Use optimizer template for dispatch prompts
/hub:spawn --template refactorer              # Use refactorer template

Templates

When

--template <name>

is provided, use the dispatch prompt from

references/agent-templates.md

instead of the default prompt below. Available templates:

Template	Pattern	Use Case
`optimizer`	Edit → eval → keep/discard → repeat x10	Performance, latency, size reduction
`refactorer`	Restructure → test → iterate until green	Code quality, tech debt
`test-writer`	Write tests → measure coverage → repeat	Test coverage gaps
`bug-fixer`	Reproduce → diagnose → fix → verify	Bug fix with competing approaches

When using a template, replace all

{variables}

with values from the session config. Assign each agent a different strategy appropriate to the template and task — diverse strategies maximize the value of parallel exploration.

What It Does

Load session config from

.agenthub/sessions/{session-id}/config.yaml

For each agent 1..N:
- Write task assignment to
```
.agenthub/board/dispatch/
```
- Build agent prompt with task, constraints, and board write instructions
Launch ALL agents in a single message with multiple Agent tool calls:

Agent(
  prompt: "You are agent-{i} in hub session {session-id}.

Your task: {task}

Read your full assignment at .agenthub/board/dispatch/{seq}-agent-{i}.md

Instructions:
1. Work in your worktree — make changes, run tests, iterate
2. Commit all changes with descriptive messages
3. Write your result summary to .agenthub/board/results/agent-{i}-result.md
   Include: approach taken, files changed, metric if available, confidence level
4. Exit when done

Constraints:
- Do NOT read or modify other agents' work
- Do NOT access .agenthub/board/results/ for other agents
- Commit early and often with descriptive messages
- If you hit a dead end, commit what you have and explain in your result",
  isolation: "worktree"
)

Update session state to
```
running
```
via:

python {skill_path}/scripts/session_manager.py --update {session-id} --state running

Critical Rules

All agents in ONE message — spawn all Agent tool calls simultaneously for true parallelism
isolation: "worktree" is mandatory — each agent needs its own filesystem
Never modify session config after spawn — agents rely on stable configuration
Each agent gets a unique board post — dispatch posts are numbered sequentially

After Spawn

Tell the user:

{N} agents launched in parallel
Each working in an isolated worktree
Monitor with
```
/hub:status
```
Evaluate when done with
```
/hub:eval
```