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parallel-agents

parallel-agents

github.com/darknesskillerAgent workflows0102 installsUpdated 2w ago
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About parallel-agents

A skill for user-requested parallel agent work. It guides task decomposition, concurrent execution, and integration while limiting overlapping edits.

Key features

  1. 01Split work into independent lanes
  2. 02Run read-only investigations concurrently
  3. 03Set lane-specific models and effort
  4. 04Define allowed paths and output shape
  5. 05Integrate and verify changes

Use cases

  1. 01Research independent questions in parallel
  2. 02Divide repository exploration by directory or package
  3. 03Coordinate non-overlapping changes across agents

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/darknesskiller/skills --skill parallel-agents

After installing, type/parallel-agentsin Claude Code to confirm it loaded.

Bundled filesagents/openai.yaml

Details

From the project README

Parallel Agents

User-invoked fan-out. Use when user asks for parallel or multi-agent work.

Fan out with the workflow tool. One run owns all lanes. Set model and effort per lane with agent({ model, effort }).

Small fan-outs: Agent tool works too. Launch each lane, integrate in main thread.

Never one agent per one-line lookup.

Steps

  1. Slice lanes. Read-only first: one agent per independent question, directory, package, axis. Launch concurrently.

  2. Prompt tightly. Give each agent: lane, read/write mode, allowed paths, forbidden paths, expected output shape.

  3. Write only when non-overlapping. Fixed-contract, non-overlapping file sets. Two lanes might touch same file: keep sequential.

  4. Keep moving. While agents run: do local reading, planning, small safe edits. Do not poll.

  5. Integrate. Read summaries. For writers: verify diffs. Resolve seams in main thread. Run narrowest useful check.

Rules

No duplicate lanes. No agents for one-line lookups. Never delegate ownership. Prefer more read agents over more write agents.

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