prompt-intelligence

Load user corrections from cortex into a LEARNED BEHAVIORS context block.

6|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/anotherben/claude-harness --skill prompt-intelligence
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-intelligence
Source: https://github.com/anotherben/claude-harness/tree/main/skills/prompt-intelligence
Command: npx skills add https://github.com/anotherben/claude-harness --skill prompt-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Session-start skill that loads learned behaviors from cortex annotations and builds a LEARNED BEHAVIORS context block to shape agent behavior for the entire session.

Core Features & Use Cases

  • Load accumulated user corrections from cortex and translate them into a session-wide behavior policy.
  • Build and apply a LEARNED BEHAVIORS block that guides the agent for the current session.
  • Sync learned patterns to Obsidian for cross-agent visibility and review.

Quick Start

Invoke /prompt-intelligence at session start or on-demand to bootstrap learned behaviors for the current session.

Frequently Asked Questions about prompt-intelligence

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I load learned behaviors at the start of an AI agent session?

To load learned behaviors at agent session start, invoke the /prompt-intelligence command. It extracts accumulated user corrections from cortex annotations or a knowledge.jsonl fallback to build a session-wide behavior policy block.

Can I sync learned agent behaviors to Obsidian for cross-agent visibility?

Yes, you can sync learned agent behaviors to Obsidian. The skill automatically translates accumulated user corrections into learned patterns and syncs them to Obsidian, providing cross-agent visibility and review.

What is a learned behaviors context block and when do I need it?

A learned behaviors context block is a translated compilation of past user corrections that shapes AI agent actions. You need it when you want an agent to automatically apply previously learned rules across a new session.

Do I need a cortex_lessons feed to apply past user corrections to my agent?

You do not strictly need a cortex_lessons feed to apply past user corrections. The skill requires either a cortex_lessons feed or a knowledge.jsonl file as a fallback to load and categorize the accumulated behavioral data.

How do I categorize and bootstrap learned behaviors for an autonomous agent?

You can categorize and bootstrap learned behaviors by running the skill's dedicated phases. It processes the cortex data through loading, categorizing, building, and bootstrapping phases to establish the rules for the current session.

What are the limitations of using a knowledge.jsonl fallback for session management?

The knowledge.jsonl fallback provides static session management by reading past corrections locally, but lacks the dynamic, real-time annotation stream provided by a live cortex_lessons feed for continuous behavior loading.