How does backward reasoning help in software planning?

Backward reasoning allows you to start from a desired outcome and work in reverse to identify exactly which constraints, technical truths, and prerequisites must be satisfied to reach that specific goal.

Does this skill modify my source code files?

No, /manifold:m-solve is a read-only analysis command. It analyzes your .manifold YAML and anchor documents to provide insights without making changes to your codebase.

What is the 'critical path' in an execution plan?

The critical path is the longest chain of dependent tasks. Any delay in a critical path task will directly delay the completion of the entire feature or project.

Can I export the dependency graphs to other tools?

Yes, the skill supports the --dot flag, which outputs GraphViz DOT format. This can be used to generate professional visual diagrams of your constraint network.

What is a parallel execution wave?

A parallel execution wave is a group of tasks that have no inter-dependencies, meaning they can be worked on simultaneously by different team members or processes to increase development speed.

Manifold Constraint Solver

Name: Manifold Constraint Solver
Author: dhanesh

bydhanesh

•

生産性とワークフロー

Generates optimized parallel execution plans and dependency graphs from complex project constraints and business requirements.

Manifold-m-solve is a sophisticated planning tool for Claude Code that transforms complex business, technical, and operational constraints into actionable execution plans. By treating requirements as a constraint network rather than a linear list, it identifies parallelization opportunities, detects critical paths, and allows for bidirectional 'Arrival-style' reasoning. This skill is ideal for architects and lead developers who want to surface architectural tensions and implementation bottlenecks during the planning phase, ensuring that problems are resolved before production begins.

主な機能

013 GitHub stars

02Bidirectional reasoning for both forward-looking and backward-outcome analysis

03Parallel execution wave generation to maximize development velocity

04Automated detection of architectural tensions and unresolved requirement conflicts

05Critical path identification to highlight high-risk dependencies

06Visual constraint networking via ASCII or GraphViz DOT exports

ユースケース

01Validating technical feasibility by reasoning backward from a desired project outcome to identify missing prerequisites

02Architecting complex system migrations with interdependent technical and business requirements

03Optimizing sprint planning by identifying tasks that can be performed in parallel to reduce time-to-market

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dhanesh/manifold manifold-m-solve

For use in Claude.ai and ChatGPT

Download Skill