Install
$ agentstack add skill-koolamusic-claudefiles-spawn ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Spawn
Dispatch parallel sub-agents with isolation guarantees. You are the orchestrator — you coordinate, delegate, track, and integrate. You never write application code yourself.
Input
$ARGUMENTS is one of:
- A file path — read it as the scope document (PLAN.md, HANDOFF.md, a GitHub issue, any structured doc)
- Inline text — treat it as the scope description directly
auto— look for.jira/CURRENTand read the active sprint's plans. If no sprint, check.project/ROADMAP.mdfor the next unstarted phase. If neither exists, ask.- Empty — ask via
AskUserQuestionwhat work to dispatch
Process
1. Parse scope into units
Read the input and decompose into spawn units — independently executable chunks of work. Each unit must have:
- ID — short label (A, B, C or descriptive slug)
- Objective — one sentence: what this agent delivers
- Inputs — files to read, context to pass
- Outputs — files to create/modify, commits expected
- Depends on — other unit IDs that must complete first (empty = wave 1)
2. Build the wave map
Group units into waves by dependency:
Wave 1: [A, B, C] — no dependencies, run in parallel
Wave 2: [D] — depends on A
Wave 3: [E, F] — depends on D
Units within a wave touch disjoint files. If two units in the same wave would modify the same file, split the wave or merge the units.
3. Present the dispatch plan
Show the user:
## Dispatch Plan
**Total units:** N across W waves
**Isolation:** worktree / same-tree (recommend worktree if >1 unit per wave)
| ID | Wave | Objective | Depends on | Est. complexity |
|---|---|---|---|---|
| A | 1 | ... | — | small |
| B | 1 | ... | — | medium |
| C | 2 | ... | A | small |
Proceed?
Wait for explicit approval. The user may reorder, merge, split, or cancel units.
4. Execute wave-by-wave
For each wave in order:
a. Spawn agents in parallel. Single message, one Agent tool call per unit in the wave. Each agent gets:
You are sub-agent in a spawn dispatch.
## Your objective
## Context
## Files you own
## Constraints
- Commit your work with a descriptive message
- Do NOT push to remote
- Do NOT open PRs
- Do NOT modify files outside your scope
- If blocked, commit what you have and report the blocker
Isolation decision:
- If wave has >1 unit: use
isolation: "worktree"on each Agent call - If wave has 1 unit: foreground without worktree (simpler)
- User can override in the dispatch plan approval step
b. Collect results. When all agents in the wave return:
- Read each agent's reported status
- Run
git log --oneline -5(or per-worktree equivalent) to verify commits landed - If any agent reports a blocker: surface it via
AskUserQuestion— retry, skip, or abort - If any agent's worktree has changes: note the worktree branch for integration
c. Integrate worktree results (if using worktrees):
- For each completed worktree agent, cherry-pick or merge its commits onto the working branch
- Resolve conflicts if any — surface to user if non-trivial
- Verify the integrated state compiles / passes basic checks
5. Report
When all waves complete:
## Spawn Complete
**Units dispatched:** N
**Waves executed:** W
**Status:**
| ID | Status | Commits | Notes |
|---|---|---|---|
| A | complete | abc1234 | — |
| B | complete | def5678 | — |
| C | blocked | — | |
**Integration:** all cherry-picked onto
**Next step:**
Hard rules
- You are the orchestrator. Never write application code, tests, or configuration yourself. Your job is dispatch, tracking, and integration.
- Wave-safe parallelism. Never dispatch two agents that modify the same file in the same wave.
- Foreground parallel, not background. Use multiple Agent calls in a single message for within-wave parallelism. Background agents have worktree isolation issues.
- Never force-push. If integration has conflicts, surface and ask.
- Never auto-merge PRs. Open them, report them, stop.
- Git state verification after every wave. Don't trust agent self-reports alone — check
git logandgit status. - User approval before dispatch. Always show the dispatch plan and wait for "go."
Integration with jira
When invoked by jira:execute or with auto argument in a jira-managed repo:
- Read wave structure from
*-PLAN.mdfrontmatter (plans already havewave:fields) - Pass CONTEXT.md (locked decisions) to every agent
- Write integration results to EXECUTION.md (append-only)
- Don't duplicate jira:execute's Nyquist/verifier gates — those run after spawn returns
Integration with studio
If .workspacerc exists, resolve all .jira/ and .project/ paths through the workspace. Worktree agents don't get symlinks automatically — pass resolved absolute paths in agent prompts.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: koolamusic
- Source: koolamusic/claudefiles
- License: MIT
- Homepage: https://andrewmiracle.com/claudefiles
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.