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0xsarwagya-ontoly

Maps codebases into graph-backed architecture evidence.

32 on GitHubMITupdated 7 days ago
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Plugin 0xsarwagya-ontoly from marketplace awesome-skills-plugins-for-students in StudentSuite/awesome-skills-plugins-for-students. Commands read from the repo's manifest — 6 days ago.

What it installs

Skills (14)

  • architecture-review

    Review repository architecture using Ontoly Software Graph and MCP capabilities. Use when asked to explain architecture, module boundaries, package topology, service ownership, or architectural risk.

  • codebase-onboarding

    Onboard a developer to a repository using Ontoly graph summaries. Use when asked to explain a new codebase, identify entrypoints, map packages, or suggest first files to inspect.

  • configuration-analysis

    Audit configuration and environment variable usage through Ontoly configuration capabilities. Use when asked where env vars, build config, runtime config, or feature flags are read.

  • dead-code-analysis

    Find potentially unused functions, methods, services, routes, or features using Ontoly dead-code and entrypoint capabilities. Use when asked what code appears unreachable or safe to remove.

  • dependency-analysis

    Analyze internal and package dependencies using Ontoly graph traversal. Use when asked which modules, packages, services, or files depend on each other.

  • documentation

    Draft graph-backed documentation from Ontoly summaries and traces. Use when asked to document architecture, APIs, modules, packages, or request lifecycles without re-parsing source files.

  • framework-analysis

    Explain detected frameworks and framework-specific graph coverage using Ontoly framework reports. Use when asked whether a repository uses NestJS, Next.js, React, Turborepo, or other supported framework concepts.

  • impact-analysis

    Analyze change impact using Ontoly dependency and dependent traversal. Use when asked what breaks if a symbol, service, route, package, or repository node changes or is removed.

  • migration-analysis

    Plan migrations using Ontoly architecture, dependency, impact, and configuration evidence. Use when asked to migrate frameworks, packages, APIs, modules, or runtime configuration.

  • performance-analysis

    Investigate performance-sensitive architecture using Ontoly call, dependency, and graph statistics evidence. Use when asked about hot paths, expensive flows, or performance investigation starting points.

  • refactoring

    Plan refactors with Ontoly impact and dependency evidence. Use when asked to move, rename, split, extract, or remove code while preserving behavior.

  • request-tracing

    Trace request lifecycle behavior through Ontoly route, handler, and call graph capabilities. Use when asked to trace login, API, controller, route, or request execution flow.

  • sdk-generation

    Plan SDK generation from Ontoly API, route, model, and operation evidence. Use when asked to design or scope SDK generation without implementing code generation in the skill layer.

  • security-review

    Review authentication, authorization, and security-sensitive flows using Ontoly graph evidence. Use when asked about auth ownership, protected routes, permissions, guards, or security risk.

View source on GitHub

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