speech-generation

speech-generation is a skill for Claude Code, Codex from letta-ai/letta-code. It costs 52 tokens per session (2,642 once invoked), scanned A, original, Apache-2.0.

A text-to-speech tool that sends text to ElevenLabs through Letta, a hosted service, to create audio. It supports multiple voices, models, and more than 90 languages.

In plain words
What is it for?
Creating voice messages, narrated text, voiceovers, and other speech audio.
Why use it?
It avoids requiring your own ElevenLabs API key and turns written content into spoken audio.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Creating voice messages, narrated text, voiceovers, and other speech audio.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/letta-ai/letta-code/speech-generation
About the project

letta-ai/letta-code is an agent harness for building assistants that retain memory, identity, and experience across interactions instead of treating each task as isolated. Developers use it through local, desktop, browser, or messaging interfaces for interactive or continuously running agents, and its catalogue entries configure the agents' skills, instructions, rules, and behavior.

letta-ai/letta-code · 3,625 stars · on GitHub · letta.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add letta-ai/letta-code --skill speech-generation
Clone the repo
git clone --depth 1 https://github.com/letta-ai/letta-code

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for speech-generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/letta-ai/letta-code/speech-generation/github.svg)](https://agentmods.dev/skills/letta-ai/letta-code/speech-generation)
Your own site
<a href="https://agentmods.dev/skills/letta-ai/letta-code/speech-generation"><img src="https://agentmods.dev/badge/skills/letta-ai/letta-code/speech-generation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for speech-generation

Your own site · 80×15
<a href="https://agentmods.dev/skills/letta-ai/letta-code/speech-generation"><img src="https://agentmods.dev/badge/skills/letta-ai/letta-code/speech-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,642 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.02642
Opus 5.5 $0.00021 $0.01057
Sonnet 5.5 $0.00010 $0.00528
Haiku 4.5 $0.00005 $0.00264

Measured 3d ago against content hash e639fa33da31, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

speech-generation scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sS -X POST "$base_url/v1/audio/speech" \
src/skills/builtin/speech-generation/SKILL.md · 217 lines

How it starts

The opening of the file, as written. The whole thing — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ElevenLabs Text-to-Speech (via Letta)

Generate natural speech from text - supports 90+ languages, multiple models for quality vs latency tradeoffs. Examples default to eleven_v4, the latest and highest-quality model.

This skill is adapted from ElevenLabs' text-to-speech skill (elevenlabs/skills, MIT; see LICENSE). Instead of calling ElevenLabs with your own key, you call Letta's hosted endpoint POST /v1/audio/speech. It forwards the request to ElevenLabs with Letta's key and charges the organization's Letta credits, so you do not need an ElevenLabs API key. The request body uses the same field names as ElevenLabs "Create speech"; the voice ID goes in the body.

Quick Start

base_url="${LETTA_BASE_URL%/}"

curl -sS -X POST "$base_url/v1/audio/speech" \
  -H "Authorization: Bearer $LETTA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text":"Hello, welcome to ElevenLabs!","voice_id":"JBFqnCBsd6RMkjVDRZzb","model_id":"eleven_v4"}' \
  > speech-response.json

python3 - <<'PY'
import base64, json

with open("speech-response.json") as f:
    response = json.load(f)
if "audio_b64" not in response:
    raise SystemExit(response.get("message", response))

with open("output.mp3", "wb") as f:
    f.write(base64.b64decode(response["audio_b64"]))
print("saved output.mp3")
PY

Use the runtime-provided LETTA_BASE_URL and LETTA_API_KEY together. Build URLs relative to ${LETTA_BASE_URL%/} and do not hardcode https://api.letta.com. If either variable is missing, the user needs to authenticate with Letta Cloud; do not ask for an ElevenLabs key.

Share the saved file the way your current surface supports: attach or upload it to the conversation or channel you are replying in. Never paste the base64 into a reply. Keep credit amounts out of replies unless the user asks about cost.

Models

Model ID Languages Latency Best For
eleven_v4 90+ Standard Default. Highest quality, emotional range, audio tags, voice cloning accuracy
eleven_v4_turbo 90+ ~100ms Faster v4 for shorter, time-sensitive replies
eleven_flash_v2_5 32 ~75ms Lowest latency, lowest cost
eleven_flash_v2 English ~75ms English-only, lowest latency
eleven_multilingual_v2 29 Standard Previous generation; most stable on very long-form generations
eleven_v3 70+ Standard Previous generation expressive model

Read the full file on GitHub · 217 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 217 lines · 52 tokens per session scan A e639fa33da31

Subscribe to this mod's changes

speech-generation is a skill published in the GitHub repository letta-ai/letta-code (3,625 stars, last pushed today), licensed Apache-2.0. It adds 52 tokens to every session and 2,642 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-13.

Related

Other skills, from other repositories

eval-dataset-design

A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.

bojieli/ai-agent-book · 138 tokens

memory-system

A guide to giving an AI agent persistent, user-specific memory across conversations. It covers what to remember, how to store it, how to update or compress it, and when to use memory instead of a shared knowledge base.

bojieli/ai-agent-book · 95 tokens

writing

A writing guide for turning verified facts and calculations into finished text for a specific audience. It follows the requested language, structure, and length.

bojieli/ai-agent-book · 27 tokens

pkf-writing

Author, update, convert, validate, persist, and render PKF (.pkf) content through message-inline, Library Asset, or Memory Page carriers. Use for structured reports, knowledge pages, delivery cards, or any .pkf body. NOT for recall, memory-graph placement, or curation decisions — those belong to the memory skill.

Prismer-AI/PrismerCloud · 78 tokens

memory-import

Bulk-import an external knowledge base into Prismer memory via the three-layer import pipeline (07 §3.1). Use when the user asks to import/migrate documents, a knowledge base, or notes into workspace memory. Layer 1 lands raw documents (zero LLM, instantly searchable); Layer 2 is YOUR distillation work — you read the…

Prismer-AI/PrismerCloud · 111 tokens

food-order

Reorder previous Foodora orders, preview cart contents, and track delivery ETA/status with ordercli. Use when the user wants to reorder food, check delivery status, or browse recent Foodora order history. Never confirm an order without explicit user approval.

Bitterbot-AI/bitterbot-desktop · 53 tokens