browserwing-executor
Control browser automation through HTTP API. Supports page navigation, element interaction (click, type, select), data extraction, accessibility snapshot analysis, screenshot, JavaScript execution, and batch operations.
What this skill does
# BrowserWing Executor API
## Overview
BrowserWing Executor provides comprehensive browser automation capabilities through HTTP APIs. You can control browser navigation, interact with page elements, extract data, and analyze page structure.
**API Base URL:** `http://localhost:8080/api/v1/executor`
**Authentication:** Use `X-BrowserWing-Key: <api-key>` header or `Authorization: Bearer <token>`
## Core Capabilities
- **Page Navigation:** Navigate to URLs, go back/forward, reload
- **Element Interaction:** Click, type, select, hover on page elements
- **Data Extraction:** Extract text, attributes, values from elements
- **Accessibility Analysis:** Get accessibility snapshot to understand page structure
- **Advanced Operations:** Screenshot, JavaScript execution, keyboard input
- **Batch Processing:** Execute multiple operations in sequence
## API Endpoints
### 1. Discover Available Commands
**IMPORTANT:** Always call this endpoint first to see all available commands and their parameters.
```bash
curl -X GET 'http://localhost:8080/api/v1/executor/help'
```
**Response:** Returns complete list of all commands with parameters, examples, and usage guidelines.
**Query specific command:**
```bash
curl -X GET 'http://localhost:8080/api/v1/executor/help?command=extract'
```
### 2. Get Accessibility Snapshot
**CRITICAL:** Always call this after navigation to understand page structure and get element RefIDs.
```bash
curl -X GET 'http://localhost:8080/api/v1/executor/snapshot'
```
**Response Example:**
```json
{
"success": true,
"snapshot_text": "Clickable Elements:\n @e1 Login (role: button)\n @e2 Sign Up (role: link)\n\nInput Elements:\n @e3 Email (role: textbox) [placeholder: [email protected]]\n @e4 Password (role: textbox)"
}
```
**Use Cases:**
- Understand what interactive elements are on the page
- Get element RefIDs (@e1, @e2, etc.) for precise identification
- See element labels, roles, and attributes
- The accessibility tree is cleaner than raw DOM and better for LLMs
- RefIDs are stable references that work reliably across page changes
### 3. Common Operations
#### Navigate to URL
```bash
curl -X POST 'http://localhost:8080/api/v1/executor/navigate' \
-H 'Content-Type: application/json' \
-d '{"url": "https://example.com"}'
```
#### Click Element
```bash
curl -X POST 'http://localhost:8080/api/v1/executor/click' \
-H 'Content-Type: application/json' \
-d '{"identifier": "@e1"}'
```
**Identifier formats:**
- **RefID (Recommended):** `@e1`, `@e2` (from snapshot)
- **CSS Selector:** `#button-id`, `.class-name`
- **XPath:** `//button[@type='submit']`
- **Text:** `Login` (text content)
#### Type Text
```bash
curl -X POST 'http://localhost:8080/api/v1/executor/type' \
-H 'Content-Type: application/json' \
-d '{"identifier": "@e3", "text": "[email protected]"}'
```
#### Extract Data
```bash
curl -X POST 'http://localhost:8080/api/v1/executor/extract' \
-H 'Content-Type: application/json' \
-d '{
"selector": ".product-item",
"fields": ["text", "href"],
"multiple": true
}'
```
#### Wait for Element
```bash
curl -X POST 'http://localhost:8080/api/v1/executor/wait' \
-H 'Content-Type: application/json' \
-d '{"identifier": ".loading", "state": "hidden", "timeout": 10}'
```
#### Batch Operations
```bash
curl -X POST 'http://localhost:8080/api/v1/executor/batch' \
-H 'Content-Type: application/json' \
-d '{
"operations": [
{"type": "navigate", "params": {"url": "https://example.com"}, "stop_on_error": true},
{"type": "click", "params": {"identifier": "@e1"}, "stop_on_error": true},
{"type": "type", "params": {"identifier": "@e3", "text": "query"}, "stop_on_error": true}
]
}'
```
## Instructions
**Step-by-step workflow:**
1. **Discover commands:** Call `GET /help` to see all available operations and their parameters (do this first if unsure).
2. **Navigate:** Use `POST /navigate` to open the target webpage.
3. **Analyze page:** Call `GET /snapshot` to understand page structure and get element RefIDs.
4. **Interact:** Use element RefIDs (like `@e1`, `@e2`) or CSS selectors to:
- Click elements: `POST /click`
- Input text: `POST /type`
- Select options: `POST /select`
- Wait for elements: `POST /wait`
5. **Extract data:** Use `POST /extract` to get information from the page.
6. **Present results:** Format and show extracted data to the user.
## Complete Example
**User Request:** "Search for 'laptop' on example.com and get the first 5 results"
**Your Actions:**
1. Navigate to search page:
```bash
curl -X POST 'http://localhost:8080/api/v1/executor/navigate' \
-H 'Content-Type: application/json' \
-d '{"url": "https://example.com/search"}'
```
2. Get page structure to find search input:
```bash
curl -X GET 'http://localhost:8080/api/v1/executor/snapshot'
```
Response shows: `@e3 Search (role: textbox) [placeholder: Search...]`
3. Type search query:
```bash
curl -X POST 'http://localhost:8080/api/v1/executor/type' \
-H 'Content-Type: application/json' \
-d '{"identifier": "@e3", "text": "laptop"}'
```
4. Press Enter to submit:
```bash
curl -X POST 'http://localhost:8080/api/v1/executor/press-key' \
-H 'Content-Type: application/json' \
-d '{"key": "Enter"}'
```
5. Wait for results to load:
```bash
curl -X POST 'http://localhost:8080/api/v1/executor/wait' \
-H 'Content-Type: application/json' \
-d '{"identifier": ".search-results", "state": "visible", "timeout": 10}'
```
6. Extract search results:
```bash
curl -X POST 'http://localhost:8080/api/v1/executor/extract' \
-H 'Content-Type: application/json' \
-d '{
"selector": ".result-item",
"fields": ["text", "href"],
"multiple": true
}'
```
7. Present the extracted data:
```
Found 15 results for 'laptop':
1. Gaming Laptop - $1299 (https://...)
2. Business Laptop - $899 (https://...)
...
```
## Key Commands Reference
### Navigation
- `POST /navigate` - Navigate to URL
- `POST /go-back` - Go back in history
- `POST /go-forward` - Go forward in history
- `POST /reload` - Reload current page
### Element Interaction
- `POST /click` - Click element (supports: RefID `@e1`, CSS selector, XPath, text content)
- `POST /type` - Type text into input (supports: RefID `@e3`, CSS selector, XPath)
- `POST /select` - Select dropdown option
- `POST /hover` - Hover over element
- `POST /wait` - Wait for element state (visible, hidden, enabled)
- `POST /press-key` - Press keyboard key (Enter, Tab, Ctrl+S, etc.)
### Data Extraction
- `POST /extract` - Extract data from elements (supports multiple elements, custom fields)
- `POST /get-text` - Get element text content
- `POST /get-value` - Get input element value
- `GET /page-info` - Get page URL and title
- `GET /page-text` - Get all page text
- `GET /page-content` - Get full HTML
### Page Analysis
- `GET /snapshot` - Get accessibility snapshot (⭐ **ALWAYS call after navigation**)
- `GET /clickable-elements` - Get all clickable elements
- `GET /input-elements` - Get all input elements
### Advanced
- `POST /screenshot` - Take page screenshot (base64 encoded)
- `POST /evaluate` - Execute JavaScript code
- `POST /batch` - Execute multiple operations in sequence
- `POST /scroll-to-bottom` - Scroll to page bottom
- `POST /resize` - Resize browser window
- `POST /tabs` - Manage browser tabs (list, new, switch, close)
- `POST /fill-form` - Intelligently fill multiple form fields at once
### Debug & Monitoring
- `GET /console-messages` - Get browser console messages (logs, warnings, errors)
- `GET /network-requests` - Get network requests made by the page
- `POST /handle-dialog` - Configure JavaScript dialog (alert, confirm, prompt) handling
- `POST /file-upload` - Upload files to input elements
- `POST /drag` - Drag and drop elements
- `POST /close-page` - Close the current page/tab
## Element Identification
You can identify elements using:
1. **RefID (Recommended):** `@e1`, `@e2`, `@e3`
- Most reliable method - stable across page chRelated 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.