# sessions

> sessions — nicknisi-sessions. Use this tool when you need to search and recall code from previous AI coding sessions, or when you want to resume work from where you left off. It solves problems of lost code and duplicated effort by providing a unified index of coding sessions across multiple platforms. The sessions tool takes in CLI commands and MCP requests, and outputs relevant code snippets and usage reports.

Canonical page: https://skillsregistry.net/skills/nicknisi-sessions  
JSON: https://api.skillsregistry.net/v1/skills/nicknisi-sessions

## Description

Search and memory across your AI coding sessions — one index over Claude Code, Codex, and Pi. Fuzzy-find and resume from the CLI, give agents recall via MCP, and get usage reports.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/nicknisi/sessions)

## 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": "nicknisi-sessions"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nicknisi-sessions` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nicknisi-sessions/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