knowledge-graph-memory SKILL.md skillA

knowledge-graph-memory from amey-thakur/ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add amey-thakur/ai-skills/knowledge-graph-memory@git:20260728.fe84bd4

Pins git:20260728.fe84bd4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
amey-thakur/ai-skills
Path
skills/ai-memory-rag/knowledge-graph-memory/SKILL.md
Versions recorded
1
Latest version
git:20260728.fe84bd4, committed Jul 28, 2026
Size
1,955 bytes
Repository stars
14
License
MIT

Store facts as entities and relationships when questions depend on connections rather than similarity. Use when retrieval must answer who relates to what rather than find similar text.

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

# Knowledge graph memory

Vector retrieval finds text that resembles the query. Some questions are
not about resemblance at all: who reports to whom, which service depends
on which, what changed between these two things. Those are graph
questions, and similarity search answers them badly.

## Method

1. **Use a graph when relationships are the query.** Traversal,
   dependency, and connection questions belong here; similarity and
   passage retrieval do not.
2. **Define the entity and relationship types deliberately.** A schema
   with a handful of clear types is queryable; an open extraction
   producing hundreds of relation names is not.
3. **Resolve entities carefully.** The same person or service named
   three ways becomes three nodes, and entity resolution is where graph
   quality is won or lost (see deduplication-queries).
4. **Keep provenance on every edge.** Which document asserted this
   relationship and when, since graphs built by extraction contain
   errors that must be traceable.
5. **Combine graph with text retrieval.** Traverse to find the relevant
   entities, then retrieve their supporting passages for the model to
   read (see hybrid-search).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add amey-thakur/ai-skills/knowledge-graph-memory@sha256:c20af1a13c9baa35

The line at the top of this page pins the label git:20260728.fe84bd4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_2q57gmwkdoyw4syg.svg)](https://markdownregistry.com/a/art_2q57gmwkdoyw4syg)

4 badge image fetches in 30 days. What the badge shows.

Versions

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

versioncommittedcommitsizeaudit
git:20260728.fe84bd4 latest2026-07-28 fe84bd4 1,955 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1955 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

amey-thakur/ai-skills · 14 stars · license MIT · pushed 2026-09-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2q57gmwkdoyw4syg
GET https://markdownregistry.com/api/v1/resolve?ref=amey-thakur/ai-skills/knowledge-graph-memory
GET https://markdownregistry.com/api/v1/blob/c20af1a13c9baa35e12ea28b042a7b9a18a94916745dfde74d94a9c2edd40d4d

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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