assemblyai-install-auth
Install and configure AssemblyAI SDK authentication. Use when setting up a new AssemblyAI integration, configuring API keys, or initializing the assemblyai npm package in your project. Trigger with phrases like "install assemblyai", "setup assemblyai", "assemblyai auth", "configure assemblyai API key".
What this skill does
# AssemblyAI Install & Auth
## Overview
Install the `assemblyai` npm package and configure API key authentication for transcription, LeMUR, and streaming APIs.
## Prerequisites
- Node.js 18+ or Python 3.10+
- Package manager (npm, pnpm, yarn, or pip)
- AssemblyAI account — sign up at https://www.assemblyai.com/dashboard/signup
- API key from https://www.assemblyai.com/app/account
## Instructions
### Step 1: Install the SDK
```bash
# Node.js (official SDK)
npm install assemblyai
# Python
pip install assemblyai
```
### Step 2: Configure API Key
```bash
# Set environment variable (recommended)
export ASSEMBLYAI_API_KEY="your-api-key-here"
# Or add to .env file
echo 'ASSEMBLYAI_API_KEY=your-api-key-here' >> .env
```
Add to `.gitignore`:
```
.env
.env.local
.env.*.local
```
### Step 3: Initialize the Client
```typescript
// src/assemblyai/client.ts
import { AssemblyAI } from 'assemblyai';
const client = new AssemblyAI({
apiKey: process.env.ASSEMBLYAI_API_KEY!,
});
export default client;
```
### Step 4: Verify Connection
```typescript
// verify-connection.ts
import { AssemblyAI } from 'assemblyai';
const client = new AssemblyAI({
apiKey: process.env.ASSEMBLYAI_API_KEY!,
});
async function verify() {
// Transcribe a short public audio to confirm everything works
const transcript = await client.transcripts.transcribe({
audio: 'https://storage.googleapis.com/aai-web-samples/5_common_sports_702.wav',
});
if (transcript.status === 'error') {
console.error('Transcription failed:', transcript.error);
process.exit(1);
}
console.log('Connection verified. Transcript ID:', transcript.id);
console.log('Status:', transcript.status);
console.log('Text preview:', transcript.text?.slice(0, 100));
}
verify().catch(console.error);
```
### Python Setup
```python
import assemblyai as aai
import os
# Configure globally
aai.settings.api_key = os.environ["ASSEMBLYAI_API_KEY"]
# Or pass per-client
transcriber = aai.Transcriber()
transcript = transcriber.transcribe(
"https://storage.googleapis.com/aai-web-samples/5_common_sports_702.wav"
)
print(transcript.text)
```
## Output
- Installed `assemblyai` package in node_modules or site-packages
- API key stored in environment variable or `.env` file
- Client initialized and connection verified with a test transcription
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| `Authentication error` | Invalid or missing API key | Verify key at https://www.assemblyai.com/app/account |
| `Cannot find module 'assemblyai'` | SDK not installed | Run `npm install assemblyai` |
| `transcript.status === 'error'` | Invalid audio URL or format | Check audio URL is publicly accessible |
| `ENOTFOUND api.assemblyai.com` | Network/firewall issue | Ensure outbound HTTPS to api.assemblyai.com is allowed |
## Resources
- [AssemblyAI Getting Started](https://www.assemblyai.com/docs/getting-started/transcribe-an-audio-file)
- [AssemblyAI Node SDK](https://github.com/AssemblyAI/assemblyai-node-sdk)
- [AssemblyAI Python SDK](https://github.com/AssemblyAI/assemblyai-python-sdk)
- [API Key Dashboard](https://www.assemblyai.com/app/account)
## Next Steps
After successful auth, proceed to `assemblyai-hello-world` for your first transcription.
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.