Scan project manifests and configurations to map tech stack skills and gaps.
npx skills add https://github.com/skanimesh10/skills --skill scan-to-skill
Please help me install this Agent Skill. Skill: scan-to-skill Source: https://github.com/skanimesh10/skills/tree/main/scan-to-skill Command: npx skills add https://github.com/skanimesh10/skills --skill scan-to-skill
Proactively scans and analyzes any project's tech stack, architecture, and conventions to recommend existing skills from the ecosystem and suggest custom skills that should be built. Use when the user says things like "scan this project", "what skills does this project need", "analyze project for skills", "audit my project", "onboard onto this codebase", "what skills should I install", or "help me set up skills for this project".
High-intent search queries and answers about installing and using this skill.
To analyze a project's tech stack for skills, scan the repository's manifests, configurations, and architecture cues. This process maps the detected technologies to existing skills and highlights gaps where custom skills should be built.
Onboarding onto a codebase involves proactively scanning its tech stack, architecture, and conventions. This generates a structured tech stack summary with actionable skill recommendations to set up the project quickly.
Yes, project analysis for skill recommendations applies to both single projects and monorepos. It reads repository files and configuration manifests across the entire workspace to produce accurate skill suggestions.
Yes, auditing a project requires access to repository files, configuration manifests, and installed skill data. This access ensures the analysis generates accurate recommendations by comparing detected tech against available skills.
Scan your project when you need to map its tech stack to skills and gaps. It is ideal for onboarding, auditing existing configurations, or deciding what skills to install for a new ecosystem.
Mapping a tech stack requires access to repository files and configuration manifests. If manifests are missing or the installed skill data is incomplete, the accuracy of the structured tech stack summary and skill recommendations may be limited.
vrcmsClassify repository AI configuration components into daily workflows and library references.
skanimesh10Scan manifests, configs, and source files to identify a project's tech stack and skill gaps.
nassimbfAnalyze an unfamiliar codebase and generate a structured onboarding guide.
jschulteAnalyze codebases to identify tech stack, architecture, and directory structure.
