Agent Skills by velesar
Showing 17 vetted skills indexed across 1 GitHub repositories.
vp-s02-layer-architecture
Identify and validate architectural layer patterns in codebases for governance assessments.
vp-s06-dependency-graph
Analyze and visualize software dependencies to detect coupling, cycles, and architectural violations.
vp-s08-team-topologies
Map Conway's Law alignment between code architecture and team structure.
vp-f02-structure
Map codebase structure by identifying root layout, source roots, test roots, and configuration patterns.
vp-q03-testability
Analyze code testability across Python, TypeScript/JS, and Rust codebases.
vp-f01-tech-stack
Identify technology stacks and dependencies from Python, Node, Rust, and Go manifest files.
vp-s07-architecture-decisions
Analyze codebases to surface implicit Architecture Decision Records with rationale and alternatives.
vp-s10-standards-compliance
Validate YAML-defined standards, architecture principles, and security policies in repositories.
vp-q05-documentation
Audit documentation quality across APIs, code comments, and project READMEs.
vp-s03-domain-model
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vp-q02-performance
Detect N+1 queries, missing indexes, and blocking operations across code paths.
vp-q01-security
Identify security vulnerabilities in codebases with context-aware severity adjustments.
vp-q04-code-style
Analyze Python, TypeScript, and Rust codebases for complexity, duplication, and naming consistency.
vp-q06-synthesis
Aggregate and classify VP-Q01 through VP-Q05 findings using the Fowler Quadrant model.
vp-f03-build-deploy
Analyze build tooling, CI/CD pipelines, containerization, and deployment configurations.
vp-s09-building-blocks
Evaluate project architecture alignment against ABB/SBB reference building blocks.
vp-s04-entity-model
Analyze data entities, relationships, and modeling patterns across Python, TypeScript, and Rust.