# smart-context

> smart-context — joe3112-smart-context. Use this tool when you need to optimize agent behavior and response efficiency. It solves problems related to token usage, context management, and tool allocation, providing streamlined outputs through context pruning and delegation. Ideal for use cases requiring balanced response sizing and efficient resource utilization.

Canonical page: https://skillsregistry.net/skills/joe3112-smart-context  
JSON: https://api.skillsregistry.net/v1/skills/joe3112-smart-context

## Description

Token-efficient agent behavior — response sizing, context pruning, tool efficiency, and delegation.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/joe3112-smart-context)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "joe3112-smart-context"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joe3112-smart-context` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joe3112-smart-context/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt