Agent skill · AI & Agents

knowledge-ops

Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.

mturacgithub.com/mturacGitHub ↗
codexcopilotcursorMIT
Install
npx skills add mturac/everything-openai-codex --skill knowledge-ops --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/knowledge-ops/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 84
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Knowledge Operations Manage a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across multiple stores. Prefer the live workspace model: - code work lives in the real cloned repos - active execution context lives in GitHub, Linear, and repo-local working-context files - broader human-facing notes can live in a non-repo context/archive folder - durable cross-machine memory belongs in the knowledge base, not in a shadow repo workspace ## When to Activate - User wants to save information to their knowledge base - Ingesting documents, conversations, or data into structured storage - Syncing knowledge across systems (local files, MCP memory, Supabase, Git repos) - Deduplicating or organizing existing knowledge - User says "save this to KB", "sync knowledge", "what do I know about X", "ingest this", "update the knowledge base" - Any knowledge management task beyond simple memory recall ## Knowledge Architecture ### Layer 1: Active execution truth - **Sources:** GitHub issues, PRs, discussions, release notes, Linear issues/projects/docs - **Use for:** the current operational state of the work - **Rule:** if something affects an active engineerin

What's inside
Steps it walks through
  1. When to Activate
  2. Knowledge Architecture
  3. Layer 1: Active execution truth
  4. Layer 2: OpenAI Codex Memory (Quick Access)
  5. Layer 3: MCP Memory Server (Structured Knowledge Graph)
  6. Layer 4: Knowledge base repo / durable document store
  7. Layer 5: External Data Store (Supabase, PostgreSQL, etc.)
  8. Layer 6: Local context/archive folder
  9. Ingestion Workflow
  10. 1. Classify
  11. 2. Deduplicate
  12. 3. Store
  13. 4. Index
  14. Sync Operations
More from everything-openai-codex
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About this skill
What does the knowledge-ops skill do?

Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.

How do I install it?

Run `npx skills add mturac/everything-openai-codex --skill knowledge-ops --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going