parallel-feature-development
FeaturedCoordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system simultaneously, when establishing file ownership to prevent merge conflicts in a shared codebase, when designing interface contracts so parallel implementers can build against each other's APIs before they are ready, or when deciding whether to use vertical slices versus horizontal layers for a full-stack feature.
Install
Quality Score: 96/100
Skill Content
Details
- Author
- wshobson
- Repository
- wshobson/agents
- Created
- 1 years ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
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Coordinate effectively when multiple AI agents work on the same codebase or feature.
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Split independent coding-agent work safely when tasks do not overlap.
parallel-features
SPECTER-specific methodology for running two or more independent Feature cycles concurrently in separate git worktrees — eligibility test (DAG independence + plan-time file-overlap check), per-worktree vs shared-state rules, union-merge setup for append-shaped workflow files, and merge-back sequencing (rebase + gate re-run for the second merge). Use when the Feature Map DAG shows independent branches and the user wants to run them in parallel, or when deciding whether two Features are safe to parallelize at all.