# Tempera

> Tempera — anvanster-tempera. Use this tool when you need to leverage persistent memory in coding tasks, enabling the capture of past coding episodes to inform and improve future coding sessions. Tempera solves problems of knowledge retention and reuse, streamlining coding workflows by surfacing relevant memories and learnings from previous sessions. It takes in coding inputs and outputs improved code suggestions, making it ideal for use cases where coding efficiency and accuracy are crucial.

Canonical page: https://skillsregistry.net/skills/anvanster-tempera  
JSON: https://api.skillsregistry.net/v1/skills/anvanster-tempera

## Description

Enables Claude Code with persistent memory that learns from past sessions, capturing coding episodes and surfacing relevant memories to improve over time.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ww7l60t48o)
- **Repository:** <https://github.com/anvanster/tempera>

## 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": "anvanster-tempera"
    }
  }
}
```

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