A token-efficient behavior skill designed to minimize costs and maximize speed by optimizing agent responses and tool usage.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-context
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 smart-context 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 Smart Context?
Smart Context is a specialized behavioral framework for AI agents that prioritizes token economy and operational speed. In the world of Openclaw Skills, this skill ensures that agents treat every token as a finite resource, eliminating unnecessary verbosity and redundant tool executions. By implementing Smart Context, developers can transform their agents into cost-aware assistants that deliver precise information without the fluff typical of standard LLM interactions.
This skill focuses on the core value of economic brilliance. It guides the agent to match its output complexity to the user's intent, ensuring that simple questions receive brief answers while complex planning receives the necessary depth. This approach not only saves money but also improves the overall user experience by providing faster, more relevant responses within the Openclaw Skills ecosystem.
Smart Context Use Cases
- Minimizing API expenditure during high-volume development or production tasks.
- Speeding up agent workflows by batching independent tool calls and reducing latency.
- Managing large codebases where token window management and file-reading efficiency are critical.
- Optimizing agent behavior for mobile or bandwidth-constrained environments within Openclaw Skills.
How Smart Context Works
- The agent analyzes the complexity of the user's input to determine the most token-efficient response style.
- It scans the current context window to identify information already available, preventing redundant tool calls or file reads.
- Independent tool operations are batched into a single execution block to reduce round-trip overhead.
- High-cost operations, such as vision analysis or long-term memory retrieval, are gated behind a necessity check.
- If available, the skill delegates non-context-sensitive background tasks to more economical sub-agents to further reduce costs.
Smart Context Setup
To activate the Smart Context behavior in your environment, ensure the skill is registered within your agent configuration. You can typically initialize this via the CLI:
openclaw install smart-context
Once installed, the agent will automatically adopt the cost-aware protocols defined in the skill documentation for all subsequent Openclaw Skills interactions.
Smart Context Data Schema & Taxonomy
Smart Context optimizes the organization of transient data and metadata to maximize the utility of the context window. It follows a strict taxonomy for data handling:
| Component | Optimization Strategy |
|---|---|
| Context Loading | Prunes redundant data and avoids re-reading files already in the window. |
| Response Style | Maps input types (e.g., Yes/No, How-to) to specific brevity tiers. |
| Tool Batching | Consolidates multiple tool calls into a single JSON execution block. |
| Targeted Reads | Utilizes offsets and limits for large files instead of full-file ingestion. |
Smart Context Advanced Features
- Intelligent response sizing that dynamically adjusts based on the complexity of the request.
- Automated tool call batching to minimize the number of reasoning turns.
- Cost-aware delegation protocols that offload bulk processing to cheaper models.
- Anti-pattern suppression to remove conversational filler and unnecessary narration.
- Selective vision gating to prevent the use of expensive image analysis when text alternatives exist.
SKILL.md
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