ontoly-software-graph
mxyhi/ok-skills/ontoly-software-graph/SKILL.md
Use Ontoly's deterministic Software Graph and MCP capabilities for repository architecture, request tracing, dependency analysis, configuration lookup, and impact analysis before falling back to source search.
Skill491 starsChanged 2 months ago
What's in it
- Ontoly Software Graph
- When to Use
- Workflow
- Capability Map
- Response Pattern
- Fallbacks
--- name: ontoly-software-graph description: Use Ontoly's deterministic Software Graph and MCP capabilities for repository architecture, request tracing, dependency analysis, configuration lookup, and impact analysis before falling back to source search. --- # Ontoly Software Graph Use this skill when a coding agent needs graph-backed understanding of a TypeScript repository. Ontoly is the source of truth; the skill only teaches the workflow. ## When to Use - Explain repository architecture or package/module topology - Trace a route, controller, service, function, or dependency path - Find services, controllers, providers, modules, routes, configuration, or environment variables - Estimate impact before refactoring or deleting code - Audit unresolved imports, circular dependencies, dead code, semantic coverage, or graph quality - Produce onboarding, documentation, or architecture-review notes with deterministic evidence ## Workflow 1. Check whether an Ontoly graph already exists: `.ontoly/`, `SoftwareGraph.json`, `diagnostics.json`, validation reports, graph hash, or MCP setup. 2. If the graph is missing and local analysis is allowed, run: ```bash ontoly build . ``` 3. Inspect graph health before answering: diagnostics, graph hash, semantic coverage, trust or quality score, framework detection, and build timestamp. 4. Prefer Ontoly CLI or MCP capabilities over repository search for graph-answerable questions. 5. Search source files only when Ontoly cannot answer, the graph is stale or incomplete, or the user explicitly asks for file-level verification. 6. Always cite graph evidence: node IDs, edge types, file paths, source locations, diagnostics, framework analyzer output, and confidence. ## Capability Map - Architecture review: `ExplainArchitecture` - Dependency analysis: `FindDependencies` - Impact analysis: `ImpactAnalysis` - Request tracing: `TraceExecution` - Configuration analysis: `FindConfigurationUsage` - Framework analysis: `FrameworkReport` - Dead-code review: `FindDeadCode` ## Response Pattern Return the direct answer first, then evidence: ```text AuthController handles authentication. Evidence: - node: class:src/auth/auth.controller.ts:AuthController - route edges: HANDLES POST /login and POST /logout - dependency edges: USES AuthService and JwtService Confidence: high, because the graph has controller, route, and dependency edges with source locations. ``` ## Fallbacks - If the graph is missing, build it first when allowed. - If validation fails, report the graph issue and verify only the affected area with source search. - If several nodes match, show candidates with package/module context. - If nothing matches, return `NOT_FOUND` with the closest graph evidence instead of inventing an answer.
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