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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-development

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

98/100

Category

Legal

Supported Platforms

Universal

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.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
20/20
Freshness
15/15

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 found

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.

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.

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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.

name: 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:

  1. Designate a single owner — One implementer owns the file
  2. Other implementers request changes — Message the owner with specific change requests
  3. Owner applies changes sequentially — Prevents merge conflicts
  4. 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

Related Skills

View on GitHub
GitHub Stars39.9k
CategoryLegal
Updated4d ago
Forks4.3k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions