How does this skill handle bug fixes?

It follows a systematic reproduction phase, attempting to isolate the root cause and document symptoms before proposing a fix, ensuring the solution addresses the actual problem.

What is the 'Design-first' approach?

This approach mandates that documentation and test cases are planned and written before any implementation code is touched to ensure high quality and architectural integrity.

Can I use this for large feature development?

Yes, it includes a milestone commit strategy designed for features over 800 LOC, allowing for incremental testing and progress tracking.

Why does it use LOC instead of time for estimates?

Lines of Code (LOC) provides a concrete measure of technical complexity that is more consistent and objective for AI agents than time-based estimates.

AI Implementation Planner

Name: AI Implementation Planner
Author: Synthesys-Lab

bySynthesys-Lab

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生产力与工作流

Generates detailed, step-by-step implementation blueprints for software features and bug fixes using a design-first approach.

关于

The AI Implementation Planner (plan-guideline) is a specialized skill designed to transform vague requirements into high-precision technical roadmaps. It enforces a rigorous development philosophy centered on a 'Documentation-first, Tests-second, Implementation-last' workflow. By providing concrete file-level details and quantifying complexity via Lines of Code (LOC), it ensures that every change is thoroughly architected and testable before a single line of production code is written. It is particularly effective for complex refactoring, systematic bug hunting, and building large-scale features that require milestone-based progress tracking.

主要功能

Systematic Bug Reproduction: Integrates a dedicated phase to reproduce and hypothesize root causes before proposing fixes.
Concrete Codebase Auditing: Generates specific file-level modification lists and line ranges during the planning phase.
Design-First TDD Workflow: Enforces a strict ordering of documentation, followed by tests, then implementation.
Milestone Commit Strategy: Supports incremental progress tracking for large features through structured milestone commits.
37 GitHub stars
Quantified Complexity Estimates: Uses Lines of Code (LOC) instead of subjective time estimates for objective planning.

使用场景

Systematic bug fixing that begins with reproduction steps and ends with passing regression tests.
Scoping complex refactoring tasks by breaking them into manageable, line-quantified implementation steps.
Architecting new feature modules with clear API definitions and comprehensive test coverage.

关于

主要功能

Systematic Bug Reproduction: Integrates a dedicated phase to reproduce and hypothesize root causes before proposing fixes.
Concrete Codebase Auditing: Generates specific file-level modification lists and line ranges during the planning phase.
Design-First TDD Workflow: Enforces a strict ordering of documentation, followed by tests, then implementation.
Milestone Commit Strategy: Supports incremental progress tracking for large features through structured milestone commits.
37 GitHub stars
Quantified Complexity Estimates: Uses Lines of Code (LOC) instead of subjective time estimates for objective planning.

使用场景

Systematic bug fixing that begins with reproduction steps and ends with passing regression tests.
Scoping complex refactoring tasks by breaking them into manageable, line-quantified implementation steps.
Architecting new feature modules with clear API definitions and comprehensive test coverage.