λς
Official@lostsolution · Paris, France
lostsolution
Agent Skills by λς
Showing 10 vetted skills indexed across 1 GitHub repositories.
lostsolutioncapture
Capture domain knowledge into structured Markdown files.
lostsolutiondiscover
Map code file paths to functional domains in a repository.
lostsolutioncontext
Loads domain-specific context from .md files based on Git diffs and graph traversal.
lostsolutionplan
Generate structured implementation plans with goals, phases, risks, and scope boundaries.
lostsolutiondistill
Generate SKILL.md and EVALUATION.md files from domain knowledge and code patterns.
lostsolutionstyle
Extract coding style rules from reference files into a Markdown guide.
lostsolutionreview
Analyze staged code diffs against injected domain constraints for violations and risks.
lostsolutionrefine
Edit skill artifacts and evaluate them against the 15 Laws of Claude Code Tooling.
lostsolutionautopilot
Generate domain files, coupling edges, and codestyle guides for software projects.
lostsolutioncouple
Inject domain coupling information from touch-map.json into development workflows.
Frequently Asked Questions About λς
FAQPage SchemaWhat specific tasks can λς perform within a development environment?▼
λς enables the extraction of domain knowledge into structured Markdown, maps file paths to functional domains, generates implementation plans, and enforces coding style rules. It further allows for the analysis of staged code diffs against domain constraints to identify potential violations or architectural risks.
Which technical personas benefit most from using λς?▼
Software architects, technical leads, and senior engineers benefit from λς by maintaining architectural integrity across large codebases. It is designed for teams requiring rigorous documentation of domain coupling, standardized coding style guides, and structured planning for complex feature implementations.
What are the prerequisites for integrating λς into a project?▼
Integration requires a Git-initialized repository and the presence of a touch-map.json file for coupling information. Users must maintain domain knowledge in Markdown files, which serve as the primary source for context injection, constraint validation, and the generation of SKILL.md and EVALUATION.md artifacts.