What is the next step after running this skill?

Once the feasibility assessment is complete and you are ready to begin, you should run the 'plan-and-implement-issue' skill to start the development phase.

Can I use this to update my issue status?

Yes, if you confirm you are starting the work, the skill will automatically apply the 'In Progress' label to the GitLab issue.

How does it find the correct GitLab project?

It identifies the GitLab project by checking local configuration files like .teamcraft/project.md or by inspecting your current git remote context.

What happens if the issue requirements are unclear?

The skill will explicitly flag ambiguities in a 'Questions to resolve' section, helping you address gaps before moving to the planning stage.

Does this skill make changes to my code?

No, this skill is strictly read-only on the codebase. Its purpose is to analyze existing code and requirements to provide an assessment without modifying files.

GitLab Issue Feasibility Analyzer

Name: GitLab Issue Feasibility Analyzer
Author: codingthefuturewithai

bycodingthefuturewithai

0•

Herramientas de Colaboración

Fetches GitLab issues to perform deep technical analysis and feasibility assessments before starting a development cycle.

This skill serves as the essential starting point for every build cycle by fetching a specific GitLab issue and cross-referencing its requirements with the current codebase. It identifies existing patterns, relevant files, and potential blockers, providing a grounded feasibility assessment (Ready, Blocked, or Partially Started) that ensures developers understand the full scope of a task before committing to implementation. By automating the discovery of context and the updating of GitLab labels, it bridges the gap between project management and active development.

Características Principales

010 GitHub stars

02Context-aware project detection using git remotes and local configuration files

03Standardized feasibility reporting including risk and ambiguity identification

04Automated 'In Progress' label management within GitLab

05Automated GitLab issue fetching with comprehensive requirement extraction

06Intelligent codebase scanning to identify relevant components and integration points

Casos de Uso

01Identifying technical dependencies or blockers before starting the planning phase

02Assessing a new ticket to determine if requirements are clear enough for implementation

03Picking up existing work to understand what has already been built and what remains

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add codingthefuturewithai/claude-code-primitives fetch-issue

For use in Claude.ai and ChatGPT

Características Principales

010 GitHub stars

02Context-aware project detection using git remotes and local configuration files

03Standardized feasibility reporting including risk and ambiguity identification

04Automated 'In Progress' label management within GitLab

05Automated GitLab issue fetching with comprehensive requirement extraction

06Intelligent codebase scanning to identify relevant components and integration points

Casos de Uso

01Identifying technical dependencies or blockers before starting the planning phase

02Assessing a new ticket to determine if requirements are clear enough for implementation

03Picking up existing work to understand what has already been built and what remains

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add codingthefuturewithai/claude-code-primitives fetch-issue

For use in Claude.ai and ChatGPT