# SAGE

> SAGE — pragnakar-project-sage. Use this tool when you need to formulate and solve complex mathematical optimization problems, enabling data-driven decision making with production-grade solvers. It solves problems requiring mathematically grounded decisions, such as resource allocation and scheduling. Ideal for use cases involving Claude Desktop and MCP-compatible agents, SAGE takes in mathematical models and outputs certified optimal solutions.

Canonical page: https://skillsregistry.net/skills/pragnakar-project-sage  
JSON: https://api.skillsregistry.net/v1/skills/pragnakar-project-sage

## Description

Enables Claude Desktop and MCP-compatible agents to formulate, solve, and certify mathematical optimization problems using production-grade open-source solvers, providing mathematically grounded decisions.

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k2s7nj8sch)
- **Repository:** <https://github.com/pragnakar/Project_Sage>

## 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": "pragnakar-project-sage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pragnakar-project-sage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pragnakar-project-sage/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