ClawPressor is an intelligent session context compressor that uses NLP summarization to reduce token usage and extend session lifetime.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawpressor
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 clawpressor 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 ClawPressor?
ClawPressor is a specialized utility designed to manage the context window of AI agents within the Openclaw Skills ecosystem. By utilizing Natural Language Processing (NLP) via the Sumy library and LexRank algorithm, it intelligently summarizes historical conversation data while keeping the most recent interactions intact. This prevents performance degradation and avoids the forced compaction often triggered when session files exceed safe size thresholds.
This skill is essential for developers looking to maintain long-running sessions without sacrificing the quality of the AI response or incurring massive API overhead. By transforming large JSONL session logs into compact summaries, ClawPressor ensures your agent remains responsive and cost-effective throughout the development lifecycle.
ClawPressor Use Cases
- Reducing API costs from excessive token consumption during long development sessions.
- Extending session lifetime when the agent approaches its 50% context limit.
- Improving agent response times when large context files cause system latency.
- Automating session maintenance as part of a daily developer heartbeat workflow.
- Preserving essential project context while discarding redundant conversational noise.
How ClawPressor Works
- The tool scans the agent session directory to identify the active session file.
- It preserves a user-defined number of recent messages (defaulting to 5) to maintain immediate conversational continuity.
- Older message history is processed through the Sumy library using the LexRank algorithm to extract key semantic information.
- A backup of the original session is created with a .backup extension to ensure data safety.
- The historical messages are replaced with a single, compact system message containing the summarized context, drastically reducing the total token count.
ClawPressor Setup
To integrate ClawPressor into your environment, install the required NLP dependencies and NLTK datasets:
pip install sumy
python -c "import nltk; nltk.download('punkt_tab'); nltk.download('stopwords')"
You can then run a dry-run to preview potential savings without modifying your files:
python3 scripts/compress.py --dry-run
To apply compression and optimize your Openclaw Skills performance:
python3 scripts/compress.py --apply
ClawPressor Data Schema & Taxonomy
ClawPressor manages session data using the following structure:
| Data Component | Format | Description |
|---|---|---|
| Session File | .jsonl | The active message history file utilized by the agent. |
| Backup File | .backup | A full copy of the session prior to NLP compression. |
| Summary Block | System Message | A single injected message containing the summarized history. |
| Statistics | Console Output | Real-time reporting on message count reduction and KB savings. |
ClawPressor Advanced Features
- Dry-run mode to verify compression logic and see token savings before execution.
- Configurable context retention via the --keep flag to specify how many recent messages remain uncompressed.
- Built-in restoration command to instantly revert from a backup if critical context was lost.
- Automated statistics reporting to track session duration gains and cost efficiency.
- Seamless integration with HEARTBEAT.md for automated context maintenance in Openclaw Skills.
SKILL.md
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