TDL (Traceable Development Lifecycle) is a template-based development process that ensures complete traceability from initial requirements through design, implementation, and operations.

Can I use TDL with existing projects?

Yes, you can initialize the TDL directory structure in an existing project and gradually introduce traceability for new features, bug fixes, or architectural changes.

How does TDL prevent ID conflicts in parallel development?

Unlike sequential numbering systems, TDL uses random 5-character Base36 IDs. This allows multiple developers or AI agents to create documents simultaneously without needing a central tracking file.

Does it include automated tools?

Yes, the skill provides Python scripts for initializing the workspace, generating unique IDs, creating documents from templates, and running traceability gap analysis.

What document types does this skill support?

The skill supports Analysis (AN-), Functional and Non-Functional Requirements (FR/NFR-), Architecture Decision Records (ADR-), and Implementation Tasks (T-).

Traceable Development Lifecycle (TDL)

Name: Traceable Development Lifecycle (TDL)
Author: takuan-osho

bytakuan-osho

0•

协作工具

Establishes end-to-end traceability from requirements through implementation using a structured, template-based development process.

The TDL skill provides a comprehensive framework for managing the software development lifecycle with high visibility and accountability. By utilizing unique Base36 IDs and distributed traceability links, it enables teams and AI agents to work in parallel without merge conflicts. The skill guides users through five distinct phases—Analysis, Requirements, ADR, Design, and Planning—ensuring that every line of code can be traced back to its original requirement or architectural decision, making it ideal for complex projects requiring rigorous documentation and audit trails.

主要功能

01Collision-free random Base36 ID generation for parallel development

02Automated 5-phase workflow from Analysis to Plan & Execution

03Distributed traceability via standardized document link sections

04Built-in scripts for generating documentation and analyzing traceability gaps

05Comprehensive templates for ADRs, Requirements, and Tasks

060 GitHub stars

使用场景

01Managing parallel development between multiple AI agents and human developers without coordination overhead

02Improving long-term maintainability by linking code implementation to specific architectural decisions

03Establishing a rigorous audit trail for regulated or complex software projects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add takuan-osho/ccmarketplace tdl

For use in Claude.ai and ChatGPT

Download Skill