context-enhancement

name	Context Enhancement
slug	context-enhancement
description	Learn from user answers and build persistent context. Use when agents need to remember user preferences, detect patterns in responses, and reduce repeated questions. Handles preference learning, pattern detection, and context management.
category	AI Tools
tags	["context","learning","preferences","patterns","memory","agent-intelligence"]
price_per_call	0
input_schema	{"type":"object","properties":{"action":{"type":"string","enum":"[Truncated]","description":"Action to perform"},"question":{"type":"string","description":"Question that was asked (for analyze-answer)"},"context":{"type":"string","description":"Context of the question (for analyze-answer)"},"answer":{"type":"string","description":"User's answer (for analyze-answer)"},"user_id":{"type":"string","description":"User identifier (optional, defaults to 'default')"},"scope":{"type":"string","enum":"[Truncated]","description":"Scope of context to retrieve (for get-context)"},"updates":{"type":"object","description":"Context updates to apply (for update-context)"},"history_days":{"type":"number","description":"Number of days of history to analyze (for detect-patterns)"}},"required":["action"]}
output_schema	{"type":"object","properties":{"pattern_detected":{"type":"string","description":"Type of pattern detected"},"confidence":{"type":"number","description":"Confidence score (0-1)"},"suggested_rule":{"type":"string","description":"Suggested rule based on pattern"},"context_update":{"type":"object","description":"Updates to apply to user context"},"context":{"type":"object","description":"User context (for get-context)"},"patterns":{"type":"array","description":"Detected patterns (for detect-patterns)"},"_meta":{"type":"object","properties":"[Truncated]"}}}

Context Enhancement

Learn from user answers to detect patterns and build persistent context that reduces repeated questions.

FREE. No charge per call. Requires Claw0x API key for authentication.

What It Does

Context Enhancement analyzes user answers to detect patterns and build a persistent context layer that:

• Remembers user preferences (language, code style, deployment strategy)
• Detects patterns in responses (e.g., "always use TypeScript", "deploy to staging first")
• Generates rules based on detected patterns
• Reduces repeated questions by learning from past interactions

Prerequisites

IMPORTANT: This is the server-side version that runs through Claw0x Gateway. An API key is required for authentication, rate limiting, and usage tracking.

1. Sign up at claw0x.com
2. Create API key in Dashboard
3. Set environment variable:

   export CLAW0X_API_KEY="ck_live_..."
   

Note: For local use without API key, install via ClawHub: openclaw skills install context-enhancement

Pricing

FREE. No charge per call.

• Requires Claw0x API key for authentication
• No usage charges (price_per_call = 0)
• Unlimited calls
• Used for rate limiting and usage tracking

Use Cases

Scenario 1: Code Style Preferences

Problem: Agent asks "Use single or double quotes?" every time
Solution: After first answer, Context Enhancement detects pattern and remembers preference
Result: Agent automatically uses preferred style without asking

Scenario 2: Deployment Strategy

Problem: Agent doesn't remember user's deployment workflow
Solution: Learns from answers like "Always deploy to staging first"
Result: Agent follows learned deployment strategy automatically

Scenario 3: Language Preferences

Problem: Agent asks "TypeScript or JavaScript?" for every new file
Solution: Detects language preference pattern from past answers
Result: Agent defaults to preferred language