parallel-feature-development
Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation.
Install / Use
npx skills add wshobson/agents --skill parallel-feature-developmentInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
LegalSupported Platforms
Our assessment of parallel-feature-development
parallel-feature-development scores 98/100 on our quality scale, 4th of 50 Legal skills we index (top 8%).
Its SKILL.md is 6.5 KB long, well organised into 19 sections with 8 code examples: a thorough specification that gives an agent plenty to work with.
With 39,920 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 4 days ago, so parallel-feature-development is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
parallel-feature-development compared with similar skills
All 4 of these similar skills score higher than parallel-feature-development; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| parallel-feature-development (this skill)by wshobson | 98 | 39.9k | 4d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.4k | 9d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.8k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 83.5k | today | MCP Server |
| LocalAIby mudler | 100 | 49.3k | today | MCP Server |
Frequently asked questions
- How do I install parallel-feature-development?
- Run
npx skills add wshobson/agents --skill parallel-feature-development. The install tabs above show the steps for each supported agent. - Which AI agents does parallel-feature-development work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is parallel-feature-development safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is parallel-feature-development still maintained?
- The repository was last updated 4 days ago, so parallel-feature-development is actively maintained.
Skill content
View source on GitHubname: parallel-feature-development description: Coordinate 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. version: 1.0.2
Parallel Feature Development
Strategies for decomposing features into parallel work streams, establishing file ownership boundaries, avoiding conflicts, and integrating results from multiple implementer agents.
When to Use This Skill
- Decomposing a feature for parallel implementation
- Establishing file ownership boundaries between agents
- Designing interface contracts between parallel work streams
- Choosing integration strategies (vertical slice vs horizontal layer)
- Managing branch and merge workflows for parallel development
File Ownership Strategies
By Directory
Assign each implementer ownership of specific directories:
implementer-1: src/components/auth/
implementer-2: src/api/auth/
implementer-3: tests/auth/
Best for: Well-organized codebases with clear directory boundaries.
By Module
Assign ownership of logical modules (which may span directories):
implementer-1: Authentication module (login, register, logout)
implementer-2: Authorization module (roles, permissions, guards)
Best for: Feature-oriented architectures, domain-driven design.
By Layer
Assign ownership of architectural layers:
implementer-1: UI layer (components, styles, layouts)
implementer-2: Business logic layer (services, validators)
implementer-3: Data layer (models, repositories, migrations)
Best for: Traditional MVC/layered architectures.
Conflict Avoidance Rules
The Cardinal Rule
One owner per file. No file should be assigned to multiple implementers.
When Files Must Be Shared
If a file genuinely needs changes from multiple implementers:
- Designate a single owner — One implementer owns the file
- Other implementers request changes — Message the owner with specific change requests
- Owner applies changes sequentially — Prevents merge conflicts
- Alternative: Extract interfaces — Create a separate interface file that the non-owner can import without modifying
Interface Contracts
When implementers need to coordinate at boundaries:
// src/types/auth-contract.ts (owned by team-lead, read-only for implementers)
export interface AuthResponse {
token: string;
user: UserProfile;
expiresAt: number;
}
export interface AuthService {
login(email: string, password: string): Promise<AuthResponse>;
register(data: RegisterData): Promise<AuthResponse>;
}
Both implementers import from the contract file but neither modifies it.
Integration Patterns
Vertical Slice
Each implementer builds a complete feature slice (UI + API + tests):
implementer-1: Login feature (login form + login API + login tests)
implementer-2: Register feature (register form + register API + register tests)
Pros: Each slice is independently testable, minimal integration needed. Cons: May duplicate shared utilities, harder with tightly coupled features.
Horizontal Layer
Each implementer builds one layer across all features:
implementer-1: All UI components (login form, register form, profile page)
implementer-2: All API endpoints (login, register, profile)
implementer-3: All tests (unit, integration, e2e)
Pros: Consistent patterns within each layer, natural specialization. Cons: More integration points, layer 3 depends on layers 1 and 2.
Hybrid
Mix vertical and horizontal based on coupling:
implementer-1: Login feature (vertical slice — UI + API + tests)
implementer-2: Shared auth infrastructure (horizontal — middleware, JWT utils, types)
Best for: Most real-world features with some shared infrastructure.
Branch Management
Single Branch Strategy
All implementers work on the same feature branch:
- Simple setup, no merge overhead
- Requires strict file ownership to avoid conflicts
- Best for: small teams (2-3), well-defined boundaries
Multi-Branch Strategy
Each implementer works on a sub-branch:
feature/auth
├── feature/auth-login (implementer-1)
├── feature/auth-register (implementer-2)
└── feature/auth-tests (implementer-3)
- More isolation, explicit merge points
- Higher overhead, merge conflicts still possible in shared files
- Best for: larger teams (4+), complex features
Troubleshooting
Implementers are blocking each other waiting for shared code. Extract the shared piece into its own interface contract file owned by the team-lead and have implementers import from it. Neither implementer modifies the contract — they only implement against it.
Merge conflicts appear even with clear ownership rules.
A file was assigned to two agents, or a config/index file (e.g., index.ts, __init__.py) that auto-imports everything was modified by both. Designate one owner for all barrel/index files, or have the lead merge them at the end.
An implementer finishes early but the integration step is blocked. Use a staging interface: the finished implementer writes a stub or mock of the downstream dependency so the other implementer can continue working. Replace with the real implementation at integration time.
The feature decomposition turned out wrong mid-stream. Stop new work, have the lead redistribute files, and communicate the change via broadcast. Sunk cost on partially written code is acceptable — continuing with the wrong split is worse.
Tests written by one implementer fail against code written by another. Interface contracts drifted: the implementer who owns the API changed a signature without notifying the test implementer. Enforce the rule that contract files require a broadcast before modification.
Related Skills
- team-composition-patterns — Choose the right team size and agent types before decomposing work
- team-communication-protocols — Coordinate integration handoffs and plan approvals between implementers
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
