kernel-typescript-sdk
Build browser automation scripts using the Kernel TypeScript SDK with Playwright, CDP, and remote browser management.
What this skill does
## When to Use This Skill
Use the Kernel TypeScript SDK when you need to:
- **Build browser automation scripts** - Create TypeScript programs that control remote browsers
- **Execute server-side automation** - Run Playwright code directly in the browser VM without local dependencies
- **Manage browser sessions programmatically** - Create, configure, and control browsers from code
- **Build scalable scraping/testing tools** - Use browser pools and profiles for high-volume automation
- **Deploy automation as actions** - Package scripts as Kernel actions for invocation via API
**When NOT to use:**
- For CLI commands (e.g., `kernel browsers create`), use the `kernel-cli` skill instead
- For quick one-off tasks, the CLI may be simpler than writing code
## Core Concepts
### SDK Architecture
The SDK is organized into resource-based modules:
- `kernel.browsers` - Browser session management (create, list, delete)
- `kernel.browsers.playwright` - Server-side Playwright execution
- `kernel.browsers.computer` - OS-level controls (mouse, keyboard, screenshots)
- `kernel.browserPools` - Pre-warmed browser pool management
- `kernel.profiles` - Persistent browser profiles (auth state)
- `kernel.auth.connections` - Managed auth (create, login, submit, follow, retrieve, delete)
- `kernel.credentialProviders` - External credential providers (1Password)
- `kernel.proxies` - Proxy configuration
- `kernel.extensions` - Chrome extension management
- `kernel.deployments` - App deployment
- `kernel.invocations` - Action invocation
### Two Automation Approaches
**1. Server-side Execution (RECOMMENDED)**
- Execute Playwright code directly in browser VM using `kernel.browsers.playwright.execute()`
- Response accessed via `response.result` - **MUST use `return` in code to get data back**
- Best for: Most use cases, production automation, parallel execution, actions
**2. CDP Connection (Client-side)**
- Connect Playwright/Puppeteer to browser via CDP WebSocket URL (`browser.cdp_ws_url`)
- Code runs locally, browser runs remotely; requires local Playwright installation
- Best for: Complex debugging, specific local development needs
## Patterns Reference
**SDK Initialization**
```typescript
import { Kernel } from "@onkernel/sdk";
const kernel = new Kernel(); // Reads KERNEL_API_KEY from environment
```
**Attribute Access**: Use `snake_case` (e.g., `browser.session_id`, `browser.cdp_ws_url`)
**Binary Data Handling**
Binary data does not serialize through `playwright.execute` (returns `undefined`). Use dedicated APIs:
```typescript
// For screenshots:
const response = await kernel.browsers.computer.captureScreenshot(browser.session_id);
// For files:
const response = await kernel.browsers.filesystem.readFile(browser.session_id, { path: '/path/to/file' });
// Convert to buffer:
const blob = await response.blob();
const buffer = Buffer.from(await blob.arrayBuffer());
```
> **Note:** This differs from the Python SDK where binary data CAN be returned via `playwright.execute` as a Buffer object. In TypeScript, always use dedicated APIs.
## References
- **Kernel Documentation**: https://www.kernel.sh/docs
- **Quickstart Guide**: https://www.kernel.sh/docs/quickstart
- **Templates**: https://www.kernel.sh/docs/reference/cli/create#available-templates
- **TypeScript Types**: Available in `@onkernel/sdk` package
- **Examples**: [examples](./examples/examples.md)
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.