graphify SKILL.md skillA

graphify from geekfamilycorp/tricorderkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

mdr add geekfamilycorp/tricorderkit/graphify@git:20261028.8d1d6ce

Pins git:20261028.8d1d6ce in mdr.lock. Pin the fingerprint instead.

Audit grade

A, 17 of 17 checks passed

Kind

SKILL.md skill

Repository

geekfamilycorp/tricorderkit

Path

plugins/graphify/skills/graphify/SKILL.md

Versions recorded

1

Latest version

git:20261028.8d1d6ce, committed Oct 28, 2026

Size

2,038 bytes

Repository stars

32

License

MIT

Knowledge graph hybride Neo4j + Qdrant. Stocker et retrouver concepts, decisions et entites ; traversee de graphe et recherche semantique ; indexer la sortie de recherche ; seed depuis le vault Obsidian. Declencheurs : stocke dans le graphe, qu'est-ce qui est relie a X, retrouve les concepts lies, graphify_store, graphify_retrieve.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# SKILL -- graphify

## Trigger conditions

Use this skill when the conversation involves:
- Storing knowledge, concepts, decisions, or entities in the graph
- Retrieving related concepts via graph traversal or semantic search
- Querying "what is connected to X", "what decisions relate to Y"
- Indexing research output from deep-research-core
- Seeding the graph from Obsidian vault notes
- Running a LangGraph research -> extract -> store -> reflect loop

## What graphify does

graphify is a hybrid knowledge graph combining Neo4j (structural) and Qdrant (semantic).

Write path:
1. Receive content (text, metadata, node type)
2. Create/update Neo4j node with relationships
3. Embed content -> Qdrant vector (same ID as Neo4j node)

Read path:
1. Query arrives (natural language or structured)
2. Parallel: Neo4j graph traversal + Qdrant vector search
3. Merge + rank results
4. Return enriched context to caller

## Node types

Concept | Entity | Task | Skill | Agent | Source | Session | Decision

## MCP tools (when graph-server is active)

- graphify_store(node_type, title, content, relationships[])
- graphify_retrieve(query, mode="hybrid", limit=10)
…

Read the whole file at its exact version.

How to install

mdr add geekfamilycorp/tricorderkit/graphify@sha256:13fad1f04c7b3503

[![mdr](https://markdownregistry.com/badge/art_f3gg256q37nozjtc.svg)](https://markdownregistry.com/a/art_f3gg256q37nozjtc)

Versions

The registry has recorded 1 version of this file, committed on Oct 28, 2026.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_f3gg256q37nozjtc
GET https://markdownregistry.com/api/v1/resolve?ref=geekfamilycorp/tricorderkit/graphify
GET https://markdownregistry.com/api/v1/blob/13fad1f04c7b35036b7aca7d1c79794180d9b56d502c935f971e471ff93aeec5

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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