Agent Skill File

BaseLayer provides a canonical skill file that teaches AI agents how to use your knowledge graph properly. Point your agent framework at this URL:

https://baselayer.id/SKILL.md

What it teaches

The skill file focuses on usage patterns, not setup:

Ask-first workflow - Search before asking, write back learnings
Tool usage patterns - When to use ask_question vs record_memory vs vault_fact
Best practices - Entity quality, avoiding duplication, relationship naming

The file is concise (~140 lines) and assumes MCP connection is already working. It contains zero setup instructions — if an agent is reading it, they’re already connected. Pure usage guidance only.

Core principle: Ask first, guess second

The skill file teaches agents to search your memory before asking you questions:

User: "What did Alice say about the API design?"

Agent (good):
1. ask_question("What did Alice say about the API design?")
2. Synthesize answer from results
3. Only ask user if no results found

Agent (bad):
1. Ask user "Who is Alice?"
2. Waste time on info already in your memory

Each ask_question result is a synthesized answer. It’s cheap to search often and expensive to miss context.

Using with agent frameworks

OpenClaw

OpenClaw agents can reference the skill file directly from their config:

{
  "skills": {
    "baselayer": "https://baselayer.id/SKILL.md"
  }
}

LangChain / LangGraph

Fetch the skill content and include it in your system prompt:

import requests
skill = requests.get("https://baselayer.id/SKILL.md").text

system_prompt = f"""
You have access to BaseLayer memory via MCP.
{skill}
"""

CrewAI / AutoGen

Add BaseLayer tools with the skill content as guidance:

from crewai import Tool

baselayer_tools = [
    Tool(name="ask_question", description="Search knowledge graph..."),
    # ... with skill content as context
]

Setup is separate

The skill file contains zero connection instructions. If an agent is reading it, the MCP connection is already working. Setup info lives in human-readable docs only.

What about llms.txt?

SKILL.md is for agents (usage patterns). llms.txt is for discovery (architecture, all integrations, connection endpoints).

Agent learning BaseLayer? → SKILL.md
Understanding BaseLayer architecture? → llms.txt

Keeping it updated

The skill file at baselayer.id/SKILL.md is always the latest version. If you’ve copied it into your agent config, check back periodically for updates — we improve the guidance as we learn what works.

​Agent Skill File

​What it teaches

​Core principle: Ask first, guess second

​Using with agent frameworks

​OpenClaw

​LangChain / LangGraph

​CrewAI / AutoGen

​Setup is separate

​What about llms.txt?

​Keeping it updated

Agent Skill File

What it teaches

Core principle: Ask first, guess second

Using with agent frameworks

OpenClaw

LangChain / LangGraph

CrewAI / AutoGen

Setup is separate

What about llms.txt?

Keeping it updated