# context-budgeting

> context-budgeting — sarielwang93-context-budgeting. Use this tool when you need to optimize resource allocation and reduce computational costs in AI models. Context-budgeting solves problems of inefficient context window usage, providing capabilities for partitioning, pre-compression checkpointing, and information management. It takes in AI model parameters and context window configurations as inputs, and outputs optimized resource allocation plans.

Canonical page: https://skillsregistry.net/skills/sarielwang93-context-budgeting  
JSON: https://api.skillsregistry.net/v1/skills/sarielwang93-context-budgeting

## Description

Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/sarielwang93-context-budgeting)

## 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": "sarielwang93-context-budgeting"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sarielwang93-context-budgeting` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sarielwang93-context-budgeting/pull`

---
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