A specialized utility that condenses massive text volumes into high-signal, Claude-optimized information.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install claude-context-distiller
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install claude-context-distiller using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Claude Context Distiller?
The Claude Context Distiller is a high-performance tool within the Openclaw Skills ecosystem designed to solve the challenge of information density in LLM prompts. By stripping away redundant phrasing and filler, it ensures that your context window is populated only with the most relevant facts and concepts.
This skill is particularly valuable for developers and researchers who need to process massive documents without hitting token limits or diluting the AI's attention. By leveraging the distillation capabilities of Openclaw Skills, users can transform noisy, unstructured data into lean, structured Markdown or XML that Claude can reason over more effectively.
Claude Context Distiller Use Cases
- Summarizing exhaustive technical manuals or legal documents into concise briefs.
- Refining raw datasets to prepare for complex long-context reasoning tasks.
- Removing redundant information from multi-source research logs.
- Cleaning up web-scraped data to maintain focus on specific architectural or technical facts.
How Claude Context Distiller Works
- The user provides a raw text input along with an optional focus parameter to guide the distillation.
- The skill analyzes the text to identify key concepts while flagging repetitive or low-value information.
- A transformation process converts the refined data into Claude-friendly formats such as Markdown or XML.
- The system calculates a compression ratio and returns the distilled text via the Openclaw Skills interface.
- Micropayments are processed automatically via SkillPay.me for each successful distillation call.
Claude Context Distiller Setup
To integrate this skill into your workflow, ensure you have a valid SkillPay.me account for automated micropayments. Each request costs 0.001 USDT.
# Example usage via CLI
curl -X POST https://api.openclaw.skills/distiller \
-H "Content-Type: application/json" \
-d '{
"text": "Your long document content here...",
"focus": "technical facts"
}'
Claude Context Distiller Data Schema & Taxonomy
The skill utilizes a structured JSON schema for inputs and outputs to ensure compatibility across different Openclaw Skills implementations.
| Parameter | Type | Description |
|---|---|---|
text |
String | The source material to be distilled. |
focus |
String | (Optional) The specific theme or topic to prioritize. |
distilled_text |
String | The refined output provided by the skill. |
compression_ratio |
String | The percentage of reduction achieved during distillation. |
Claude Context Distiller Advanced Features
- Context-Aware Filtering: Use specific focus parameters to extract only the data relevant to your current project.
- Structured Output Transformation: Automatically converts raw noise into structured XML or Markdown formats optimized for LLM consumption.
- Automated Micropayments: Integrated SkillPay.me support allows for seamless, per-use billing without monthly subscriptions.
- High-Ratio Compression: Effectively reduces token count by up to 75% or more while retaining core semantic meaning, a hallmark of quality Openclaw Skills.
SKILL.md
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