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giuseppe-trisciuoglio/developer-kit

Comprehensive developer toolkit providing reusable skills for Java/Spring Boot, TypeScript/NestJS/React/Next.js, Python, PHP, AWS CloudFormation, AI/RAG, DevOps, and more.

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Overview
Quality
Evals
Security
Files

SKILL.mdplugins/developer-kit-specs/skills/knowledge-graph/

name:
knowledge-graph
description:
Manage persistent Knowledge Graph for specifications. Provides read, query, update, and validation capabilities for codebase analysis caching. Use when: spec-to-tasks needs to cache/reuse codebase analysis, task-implementation needs to validate task dependencies or contracts, spec-quality needs to synchronize provides, or any command needs to query existing patterns/components/APIs. Reduces redundant codebase exploration by caching agent discoveries.
allowed-tools:
Read, Write, Edit, Grep, Glob, Bash

Knowledge Graph Skill

Overview

The Knowledge Graph (KG) is a persistent JSON file that stores discoveries from codebase analysis, eliminating redundant exploration and enabling task validation.

Location: docs/specs/[ID-feature]/knowledge-graph.json

Key Benefits:

  • ✅ Avoid re-exploring already-analyzed codebases
  • ✅ Validate task dependencies against actual codebase state
  • ✅ Share discoveries across team members
  • ✅ Accelerate task generation with cached context

When to Use

Use this skill when:

  1. spec-to-tasks needs to cache/reuse codebase analysis - Store agent discoveries for future reuse
  2. task-implementation needs to validate task dependencies and contracts - Check if required components exist before implementing
  3. Any command needs to query existing patterns/components/APIs - Retrieve cached codebase context
  4. Reducing redundant codebase exploration - Avoid re-analyzing already-explored code

Trigger phrases:

  • "Load knowledge graph"
  • "Query knowledge graph"
  • "Update knowledge graph"
  • "Validate against knowledge graph"
  • "Check if component exists"
  • "Find existing patterns"

Instructions

Available Operations

1. read-knowledge-graph - Load and parse KG for a specification

  • Input: Path to spec folder (e.g., docs/specs/001-feature/)
  • Output: KG object with metadata, patterns, components, APIs

2. query-knowledge-graph - Query specific sections (components, patterns, APIs)

  • Input: Spec folder, query type, optional filters
  • Output: Filtered results matching criteria

3. update-knowledge-graph - Update KG with new discoveries

  • Input: Spec folder, updates (partial KG), source description
  • Output: Merged KG with new findings

4. validate-against-knowledge-graph - Validate task dependencies against KG

  • Input: Spec folder, requirements (components, APIs, patterns)
  • Output: Validation report with errors/warnings

5. validate-contract - Validate provides/expects between tasks

  • Input: Spec folder, expects (files + symbols), completed dependencies
  • Output: Satisfied/unsatisfied expectations report

6. extract-provides - Extract symbols from implemented files

  • Input: Array of file paths
  • Output: Array of provides with file, symbols, type

7. aggregate-knowledge-graphs - Merge patterns from all specs

  • Input: Project root path
  • Output: Global KG with deduplicated patterns

See references/query-examples.md for detailed usage examples.

Examples

Input/Output Examples

Read Knowledge Graph:

Input: /knowledge-graph read docs/specs/001-hotel-search/
Output: {
  metadata: { spec_id: "001-hotel-search", version: "1.0" },
  patterns: { architectural: [...], conventions: [...] },
  components: { controllers: [...], services: [...]}
}

Query Components:

Input: /knowledge-graph query docs/specs/001-hotel-search/ components {"category": "services"}
Output: [{ id: "comp-svc-001", name: "HotelSearchService", type: "service"}]

Update Knowledge Graph:

Input: /knowledge-graph update docs/specs/001-hotel-search/ {
  patterns: { architectural: [{ name: "Repository Pattern"}] }
}
Output: "Added 1 pattern to knowledge graph"

Validate Dependencies:

Input: /knowledge-graph validate docs/specs/001-hotel-search/ {
  components: ["comp-repo-001"]
}
Output: { valid: true, errors: [], warnings: [] }

See references/examples.md for comprehensive workflow examples.

KG Schema Reference

See references/schema.md for complete JSON schema with examples.

Integration Patterns

See references/integration-patterns.md for detailed integration with Developer Kit commands.

Error Handling

See references/error-handling.md for comprehensive error handling strategies and recovery procedures.

Performance Considerations

See references/performance.md for optimization strategies and performance characteristics.

Security

See references/security.md for security considerations, threat mitigation, and best practices.

Best Practices

When to Query KG: Before codebase analysis, task generation, dependency validation

When to Update KG: After agent discoveries, component implementation, pattern discovery

KG Freshness:

  • < 7 days: Fresh
  • 7-30 days: Stale, warn user
  • 30 days: Very stale, offer regeneration

See references/performance.md and references/security.md for detailed best practices.

Constraints and Warnings

Critical Constraints

  • Source-Code Safe Operations: Does NOT modify source code files. Only creates/updates knowledge-graph.json files.
  • Path Validation: Only reads/writes KG files from docs/specs/[ID]/ paths.
  • No Automatic Code Generation: Caches analysis results, does NOT generate implementation code.

Limitations

  • Validation Scope: Checks components exist in KG, but cannot verify if they exist in actual codebase if KG is outdated
  • Freshness Dependency: KG accuracy depends on how recently it was updated
  • Single-Spec First: Each KG is primarily specific to a single specification
  • File Size: KG files can grow large (>1MB) for complex specifications

See references/error-handling.md and references/security.md for complete constraints and warnings.

Reference Files

plugins

CHANGELOG.md

context7.json

CONTRIBUTING.md

README_CN.md

README_ES.md

README_IT.md

README.md

tessl.json

tile.json