# DecisionsSearch

> DecisionsSearch — renzo-tognella-decisionssearch. Use this tool when you need to persist and retrieve complex decision-making data, business rules, and code patterns across multiple sessions, enabling AI agents to learn from past experiences and investigate CI/CD errors autonomously. It solves problems of data loss and error repetition by providing a hybrid memory interface that takes in decision data and outputs durable, queryable knowledge graphs. Ideal for use cases requiring continuous learning and improvement in AI-driven systems.

Canonical page: https://skillsregistry.net/skills/renzo-tognella-decisionssearch  
JSON: https://api.skillsregistry.net/v1/skills/renzo-tognella-decisionssearch

## Description

Provides persistent hybrid memory (Neo4j + Qdrant) for AI agents, enabling durable recall of decisions, business rules, and code patterns across sessions, plus autonomous CI/CD error investigation.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/miboqdhwnl)
- **Repository:** <https://github.com/Renzo-Tognella/DecisionsSearch>

## 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": "renzo-tognella-decisionssearch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/renzo-tognella-decisionssearch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/renzo-tognella-decisionssearch/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