What are the prerequisites for running a parallel plan?

You must first run the 'shared-context' skill for your feature. This ensures that the planning agents have access to the necessary requirements and architectural background.

Does this skill modify my application code?

No, this skill is strictly limited to planning. It only creates documentation artifacts and analysis files; it never executes implementation tasks or modifies source code.

Can I preview the plan before it generates files?

Yes, you can use the --dry-run flag to see which analysis agents would run and what files would be created without actually executing the analysis or writing to disk.

What is the benefit of using parallel agents for planning?

Parallel agents allow Claude to process vast amounts of context simultaneously. By delegating specific analysis tasks to sub-agents, it compresses massive codebase data into focused insights, preventing the main context from becoming overloaded.

How are task dependencies handled?

The skill identifies which tasks are independent and which rely on prior work. This information is encoded into the 'parallel-plan.md' file, helping you identify which parts of a project can be worked on concurrently.

Parallel Implementation Planner

Name: Parallel Implementation Planner
Author: yandy-r

byyandy-r

0•

生产力与工作流

Creates comprehensive, dependency-aware implementation plans by orchestrating parallel analysis agents to streamline complex development workflows.

The Parallel Implementation Planner is a sophisticated orchestration tool designed to bridge the gap between high-level requirements and actual code execution. By deploying specialized agents to analyze context, code patterns, and task structures in parallel, it synthesizes massive amounts of repository data into a concise, actionable implementation plan. This skill ensures that complex features are broken down into manageable, independent tasks with clear dependency tracking, allowing developers to execute projects with high confidence and minimal context switching without modifying a single line of application code.

主要功能

01Multi-Agent Orchestration: Deploys specialized agents for context synthesis, code analysis, and task structuring.

02Template-Based Planning: Generates standardized parallel-plan.md files with clear phases and instructions.

030 GitHub stars

04Automated Validation: Uses dedicated agents to verify file paths, circular dependencies, and task completeness.

05Context Compression: Condenses 100K+ tokens of raw repository data into 5-10K tokens of actionable insights.

06Dependency Mapping: Automatically identifies task relationships to maximize parallel development opportunities.

使用场景

01Preparing implementation-ready documentation for automated execution or team handovers.

02Breaking down legacy code refactors into manageable, independent implementation phases.

03Planning large-scale feature additions in complex, multi-file codebases.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yandy-r/claude-plugins parallel-plan

For use in Claude.ai and ChatGPT

主要功能

01Multi-Agent Orchestration: Deploys specialized agents for context synthesis, code analysis, and task structuring.

02Template-Based Planning: Generates standardized parallel-plan.md files with clear phases and instructions.

030 GitHub stars

04Automated Validation: Uses dedicated agents to verify file paths, circular dependencies, and task completeness.

05Context Compression: Condenses 100K+ tokens of raw repository data into 5-10K tokens of actionable insights.

06Dependency Mapping: Automatically identifies task relationships to maximize parallel development opportunities.

使用场景

01Preparing implementation-ready documentation for automated execution or team handovers.

02Breaking down legacy code refactors into manageable, independent implementation phases.

03Planning large-scale feature additions in complex, multi-file codebases.