# Teleprompter

> Use this tool when you need to streamline interactions with large language models (LLMs) by reusing and customizing prompt templates. It solves the problem of repeating complex instructions across conversations by allowing storage, search, and retrieval of templates with variable substitution. The tool takes in template inputs and outputs customized prompts for efficient LLM interaction.

Canonical page: https://skillsregistry.net/skills/raisinbread-teleprompter  
JSON: https://api.skillsregistry.net/v1/skills/raisinbread-teleprompter

## Description

Enables storage and reuse of prompt templates with variable substitution for LLMs. Supports creating, searching, and retrieving prompt templates to avoid repeating complex instructions across conversations.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ocjtdltgnn)
- **Repository:** <https://github.com/raisinbread/teleprompter>

## 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": "raisinbread-teleprompter"
    }
  }
}
```

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