# enhanced-memory

> enhanced-memory — jameseball-enhanced-memory. Use this tool when you need to efficiently search and retrieve information from large datasets with complex queries, leveraging hybrid vector and keyword scoring to solve problems related to information retrieval and knowledge discovery. It accepts natural language inputs and returns relevant results, ranked by relevance and context. Ideal for use cases where precise and adaptive search functionality is required, such as research, data analysis, and decision support.

Canonical page: https://skillsregistry.net/skills/jameseball-enhanced-memory  
JSON: https://api.skillsregistry.net/v1/skills/jameseball-enhanced-memory

## Description

Enhanced memory search with hybrid vector+keyword scoring, temporal routing, filepath scoring, adaptive weighting.

## 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:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jameseball-enhanced-memory)

## 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": "jameseball-enhanced-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jameseball-enhanced-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jameseball-enhanced-memory/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