ac-parallel-coordinator
Coordinate parallel autonomous operations. Use when running parallel features, managing concurrent work, coordinating multiple agents, or optimizing throughput.
Best use case
ac-parallel-coordinator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Coordinate parallel autonomous operations. Use when running parallel features, managing concurrent work, coordinating multiple agents, or optimizing throughput.
Teams using ac-parallel-coordinator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ac-parallel-coordinator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ac-parallel-coordinator Compares
| Feature / Agent | ac-parallel-coordinator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Coordinate parallel autonomous operations. Use when running parallel features, managing concurrent work, coordinating multiple agents, or optimizing throughput.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# AC Parallel Coordinator Coordinate parallel autonomous operations. ## Purpose Manages parallel execution of independent features to maximize throughput while maintaining safety. ## Quick Start ```python from scripts.parallel_coordinator import ParallelCoordinator coordinator = ParallelCoordinator(project_dir) parallel_groups = await coordinator.find_parallel_opportunities() results = await coordinator.execute_parallel(parallel_groups[0]) ``` ## API Reference See `scripts/parallel_coordinator.py` for full implementation.
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