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Agent skill

Speak Reference Architecture

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store.

MITAuto-check passedEducation

Install Speak Reference Architecture

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill speak-reference-architecture -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace speak-reference-architecture --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/speak-reference-architecture .claude/skills/speak-reference-architecture && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
speak-reference-architecture
GitHub stars
2.8k
Token cost
~684 tokens
SKILL.md length
154 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store.

  • Works in 3 steps: Configuration → Implementation → Verification
  • Implementing reference architecture
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
  • Calls curl and jq; reaches api.speak.com; needs SPEAK_API_KEY

What it does

Speak Reference Architecture is an agent skill from jeremylongshore/tons-of-skills-marketplace. Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store. Use when implementing reference architecture, or managing Speak language learning platform operations. Trigger with phrases like "speak reference architecture", "speak reference architecture".

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation-guide.md`). Compatibility notes: Designed for Claude Code

It sits in Education, covering Language learning and Microservices. It works with OpenAI. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Implementing reference architecture
  • Managing Speak language learning platform operations
  • With phrases like speak reference architecture
  • Speak reference architecture

Example prompts

  • “speak reference architecture”
  • “/speak-reference-architecture”

Requirements

  • A credential in SPEAK_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Configuration
  2. Implementation
  3. Verification

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(npm:*)
    • Bash(curl:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.speak.com

    Also links to:

    • speak.com
    • platform.openai.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • SPEAK_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Speak Reference Architecture loads about 684 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 154 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~684
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 154 words, ~684 tokens.

Download SKILL.mdSave it as .claude/skills/speak-reference-architecture/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
speak-reference-architecture
description
Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store. Use when implementing reference architecture, or managing Speak language learning platform operations. Trigger with phrases like "speak reference architecture", "speak reference architecture".
allowed-tools
Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep
compatibility
Designed for Claude Code
version
1.14.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, speak, api

Speak Reference Architecture

Overview

Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store.

Prerequisites

  • Completed speak-install-auth setup
  • Valid API credentials configured
  • Understanding of Speak API patterns

Instructions

Step 1: Configuration

Configure reference architecture for your Speak integration. Speak uses OpenAI's GPT-4o for AI tutoring and Whisper for speech recognition.

typescript
// speak_reference_architecture_config.ts
const config = {
  apiKey: process.env.SPEAK_API_KEY!,
  appId: process.env.SPEAK_APP_ID!,
  environment: process.env.NODE_ENV || 'development',
};
Step 2: Implementation
typescript
// Core implementation for speak reference architecture
import { SpeakClient } from '@speak/language-sdk';

const client = new SpeakClient(config);

// Production-ready implementation
async function setup() {
  const health = await client.health.check();
  console.log("Status:", health.status);
  return health;
}
Step 3: Verification
bash
curl -sf -H "Authorization: Bearer $SPEAK_API_KEY" https://api.speak.com/v1/health | jq .

Output

  • Speak Reference Architecture configured and verified
  • Production-ready Speak integration
  • Error handling and monitoring in place

Error Handling

ErrorCauseSolution
401 UnauthorizedInvalid API keyVerify SPEAK_API_KEY
429 Rate LimitedToo many requestsImplement backoff
Connection timeoutNetwork issueCheck connectivity to api.speak.com
Audio format errorWrong codecConvert to WAV 16kHz mono

Resources

Next Steps

For production checklist, see speak-prod-checklist.

Examples

Basic: Apply reference architecture with default settings for a standard Speak integration.

Production: Configure with monitoring, alerting, and team-specific language learning requirements.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/speak-reference-architecture of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/implementation-guide.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Speak Reference Architecture next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Speak Reference Architecture compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Speak Reference Architecture this skilljeremylongshore/tons-of-skills-marketplace2.8k—~684Automated safety check: PassMIT
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Fluent Progressm98/fluent421—~1.5kAutomated safety check: NotesMIT
Fluent Sm2 Calculatorm98/fluent421—~1.2kAutomated safety check: PassMIT
Duolingo Playpockebot/openpocket847—~1.1kAutomated safety check: PassMIT
Study Companion Enmingchen666/Reviva244—~5.7kAutomated safety check: PassNone

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Works with

Categories

Questions about Speak Reference Architecture

What does Speak Reference Architecture do?

Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store. Speak Reference Architecture is an agent skill from jeremylongshore/tons-of-skills-marketplace. Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store.

When should I use Speak Reference Architecture?

Speak Reference Architecture fits situations like: implementing reference architecture; managing Speak language learning platform operations; with phrases like speak reference architecture; speak reference architecture.

How do I install Speak Reference Architecture in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill speak-reference-architecture -a claude-code`. Or copy the skill folder (skills/.curated/speak-reference-architecture in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/speak-reference-architecture in your project. Claude Code loads it when a task matches its description.

How do I install Speak Reference Architecture in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill speak-reference-architecture -a codex`. Or copy the skill folder (skills/.curated/speak-reference-architecture in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/speak-reference-architecture in your project. Codex loads it when a task matches its description.

Can I use Speak Reference Architecture in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill speak-reference-architecture -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/speak-reference-architecture, .gemini/skills/speak-reference-architecture, .github/skills/speak-reference-architecture and .opencode/skills/speak-reference-architecture in your project.

What does Speak Reference Architecture need to run?

Going by SKILL.md and its folder, Speak Reference Architecture needs the command-line tools its instructions call (curl and jq) and credentials named SPEAK_API_KEY. Our summary lists: A credential in SPEAK_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Speak Reference Architecture access the network?

SKILL.md names 3 domains. In commands or code: api.speak.com; the agent is likely to contact it when it follows the instructions. As links in the text: speak.com and platform.openai.com. This is read from the text; nothing was executed.

Is Speak Reference Architecture safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Speak Reference Architecture use?

Speak Reference Architecture is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Speak Reference Architecture use?

About 684 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Speak Reference Architecture?

Skills that share tags, products or a category with Speak Reference Architecture: Afm (scouzi1966/maclocal-api, 346 stars), Fluent Progress (m98/fluent, 421 stars), Fluent Sm2 Calculator (m98/fluent, 421 stars) and Duolingo Play (pockebot/openpocket, 847 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Speak Reference Architecture?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.