MCPInstall

knowledge-graph

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.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill knowledge-graph
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads knowledge-graph automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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

  • schema.md - Complete JSON schema
  • query-examples.md - Query patterns
  • integration-patterns.md - Command integration
  • error-handling.md - Error handling guide
  • performance.md - Performance optimization
  • security.md - Security considerations
  • examples.md - Practical examples

FAQ

What does the knowledge-graph skill do?

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.

How do I install knowledge-graph?

Run npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill knowledge-graph in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/knowledge-graph/ (personal) or .claude/skills/knowledge-graph/ (project).

Which AI agents can use knowledge-graph?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is knowledge-graph safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains knowledge-graph?

It is published by giuseppe-trisciuoglio in giuseppe-trisciuoglio/developer-kit. It has 1,922 recorded installs.

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