New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Speak Observability

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

Monitor Speak API health, assessment latency, session metrics, and pronunciation score distributions.

MITAuto-check passedDevOps & Cloud

Install Speak Observability

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace speak-observability --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-observability .claude/skills/speak-observability && 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-observability
GitHub stars
2.8k
Token cost
~653 tokens
SKILL.md length
147 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Monitor Speak API health, assessment latency, session metrics, and pronunciation score distributions.

  • Works in 3 steps: Configuration → Implementation → Verification
  • Implementing observability
  • 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 Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Monitor Speak API health, assessment latency, session metrics, and pronunciation score distributions. Use when implementing observability, or managing Speak language learning platform operations. Trigger with phrases like "speak observability", "speak observability".

Its SKILL.md is about 650 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 DevOps & Cloud, covering Observability and Language learning. 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 observability
  • Managing Speak language learning platform operations
  • With phrases like speak observability
  • Speak observability

Example prompts

  • “speak observability”
  • “/speak-observability”

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 Observability loads about 653 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 147 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~653
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.2k

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). 147 words, ~653 tokens.

Download SKILL.mdSave it as .claude/skills/speak-observability/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
speak-observability
description
Monitor Speak API health, assessment latency, session metrics, and pronunciation score distributions. Use when implementing observability, or managing Speak language learning platform operations. Trigger with phrases like "speak observability", "speak observability".
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 Observability

Overview

Monitor Speak API health, assessment latency, session metrics, and pronunciation score distributions.

Prerequisites

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

Instructions

Step 1: Configuration

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

typescript
// speak_observability_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 observability
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 Observability 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 observability 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-observability of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Speak Observability 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 Observability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Speak Observability this skilljeremylongshore/tons-of-skills-marketplace2.8k—~653Automated safety check: PassMIT
Caveman Gateway SetupJuliusBrussee/caveman111k1 repos~2.6kAutomated safety check: WarnApache-2.0
Telemetry AnalyticsOpenHands/OpenHands91k—~305Automated safety check: PassMIT
Observability Architecturemajiayu000/litellm-rs118—~1.3kAutomated safety check: PassMIT
App Observabilitygrafana/skills282—~1.8kAutomated safety check: PassApache-2.0
Ag2 Telemetryag2ai/build-with-ag2252—~1.9kAutomated safety check: PassApache-2.0

Similar skills

  • Caveman Gateway Setup

    JuliusBrussee/caveman

    Routes every LLM call in a repository through the Caveman Cloud gateway in record mode, so requests and costs are measured without changing behavior.

    111k GitHub starsUsed in 1 repo~2.6k tokens
    DevOps & CloudAuto-check: warnings

  • Telemetry Analytics

    OpenHands/OpenHands

    This skill should be used when the user asks to "add tracking", "add a PostHog event", "change telemetry consent", "instrument onboarding", "debug analytics", or changes telemetry.ts…

    91k GitHub stars~305 tokensUpdated today
    DevOps & CloudAuto-check passed

  • Observability Architecture

    majiayu000/litellm-rs

    LiteLLM-RS Observability Architecture. An agent skill from majiayu000/litellm-rs.

    118 GitHub stars~1.3k tokensUpdated today
    DevOps & CloudAuto-check passed

  • App Observability

    grafana/skills

    Official

    Get RED metrics + service maps + frontend RUM + AI/LLM monitoring out of Grafana Cloud — Application Observability (tracesspanmetrics from OTel traces, p50/p95/p99 latency, exemplar-to-trace…

    282 GitHub stars~1.8k tokensUpdated 2 days ago
    DevOps & CloudAuto-check passed

  • Ag2 Telemetry

    ag2ai/build-with-ag2

    Add OpenTelemetry traces to an AG2 beta Agent via TelemetryMiddleware (autogen.beta.middleware.builtin).

    252 GitHub stars~1.9k tokensUpdated 1 mo ago
    DevOps & CloudAuto-check passed

  • Vercel Optimize Audit

    vercel-labs/agent-skills

    Official

    Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.

    32k GitHub starsUsed in 8 repos~4.3k tokens
    DevOps & CloudAuto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo

  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes

  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed

  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed

  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Works with

Categories

Questions about Speak Observability

What does Speak Observability do?

Monitor Speak API health, assessment latency, session metrics, and pronunciation score distributions. Speak Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Monitor Speak API health, assessment latency, session metrics, and pronunciation score distributions.

When should I use Speak Observability?

Speak Observability fits situations like: implementing observability; managing Speak language learning platform operations; with phrases like speak observability; speak observability.

How do I install Speak Observability in Claude Code?

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

How do I install Speak Observability in Codex?

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

Can I use Speak Observability 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-observability -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-observability, .gemini/skills/speak-observability, .github/skills/speak-observability and .opencode/skills/speak-observability in your project.

What does Speak Observability need to run?

Going by SKILL.md and its folder, Speak Observability 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 Observability 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 Observability 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 Observability use?

Speak Observability 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 Observability use?

About 653 tokens (SKILL.md is roughly 2.6k 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 2.5k tokens, read only when the agent opens those files.

What are the alternatives to Speak Observability?

Skills that share tags, products or a category with Speak Observability: Caveman Gateway Setup (JuliusBrussee/caveman, 111k stars), Telemetry Analytics (OpenHands/OpenHands, 91k stars), Observability Architecture (majiayu000/litellm-rs, 118 stars) and App Observability (grafana/skills, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Speak Observability?

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.