web-research-assistant
AI-powered web research assistant that leverages BrowserAct API to supplement restricted web access by searching the internet for additional information. Designed for OpenClaw and Claude Code.
What this skill does
# Web Research Assistant This skill leverages **BrowserAct API** to provide powerful web research capabilities. When primary web access is restricted or blocked, it automatically searches the internet to find and extract relevant information, ensuring your research tasks are completed successfully. ## โจ OpenClaw & Claude Code Optimized **๐ Works Seamlessly with OpenClaw and Claude Code** | Platform | Status | Installation | |----------|--------|--------------| | **OpenClaw** | โ **Highly Recommended** | Copy to `~/.openclaw/skills/` | | **Claude Code** | โ **Highly Recommended** | Native skill support | | **OpenCode** | โ Fully Supported | Copy to `~/.opencode/skills/` | | **Cursor** | โ Fully Supported | Copy to `~/.cursor/skills/` | **Why This Skill?** - ๐ฏ **Purpose-built for OpenClaw and Claude Code** - ๐ **Auto-recovery** when web access is restricted - ๐ **Global access** - no IP or geoblocking issues - ๐ฐ **Cost-effective** - saves token usage - โก **Fast execution** - BrowserAct powered ## ๐ฏ When to Use **Web Access Restricted? No Problem!** Use this skill when: - ๐ Target websites block AI assistant access - ๐ Geographic restrictions limit content access - ๐ Paywalls prevent data extraction - โฑ๏ธ Need quick supplemental information - ๐ Research requires multiple data sources - ๐ Need current information beyond cached data ## ๐ API Key Guidance Before running, check the `BROWSERACT_API_KEY` environment variable. If not set, request the API key from the user: **Required Message**: > "Please provide your BrowserAct API Key from [BrowserAct Console](https://www.browseract.com/reception/integrations) to enable web research capabilities." ## ๐ ๏ธ Input Parameters Configure research based on your needs: | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `query` | string | - | Research topic or question | | `engine` | string | google | Search engine (google, bing, duckduckgo) | | `max_results` | number | 10 | Results to retrieve (1-50) | | `content_type` | string | all | Content filter (all, news, articles, data) | | `time_range` | string | past_month | Time filter (anytime, past_day/week/month/year) | ## ๐ป Quick Start ```bash # Basic research python web-research-assistant/scripts/research.py "AI technology trends" # Deep research with more results python web-research-assistant/scripts/research.py "competitor analysis" --max-results 20 # Current news research python web-research-assistant/scripts/research.py "market trends" --content-type news # Save to file python web-research-assistant/scripts/research.py "industry data" -o research_report.md ``` ## ๐ Output **Structured Research Data:** - Titles, URLs, snippets, and relevance scores - Key facts and statistics extraction - Source citations and references - Comprehensive research report ## ๐ช What This Skill Does 1. **๐ Auto-Supplement** - When direct access fails, automatically searches the web 2. **๐ Global Search** - Bypasses geographic restrictions via BrowserAct 3. **๐ Multi-Source** - Aggregates data from multiple search results 4. **โ Validation** - Cross-references information for accuracy 5. **๐ Report Generation** - Creates comprehensive research reports --- ## Features 1. **No hallucinations, ensuring stable and accurate data extraction**: Pre-set workflows eliminate AI-generated hallucinations. 2. **No human verification challenges**: Built-in bypass mechanisms eliminate the need to handle reCAPTCHA or other verification challenges. 3. **No IP access restrictions or geofencing**: Overcomes regional IP limitations for stable global access. 4. **Faster execution speed**: Tasks complete more rapidly than purely AI-driven browser automation solutions. 5. **Exceptional cost-effectiveness**: Significantly reduces data acquisition costs compared to token-intensive AI solutions. --- ## ๐ง BrowserAct API Integration ``` Research Request โ BrowserAct Search โ Data Extraction โ Validation โ Final Report ``` **Powered by BrowserAct MCP** for reliable, unrestricted web access. --- ## โ ๏ธ Error Handling - **Invalid API Key**: Report to user, do not retry - **Search Failed**: Automatic retry with fallback engine - **No Results**: Return partial data with notification - **Timeout**: Extended timeout for large research tasks --- ## ๐ Best Practices 1. Use **specific queries** for targeted results 2. Apply **time filters** for current information 3. **Cross-reference** key findings 4. Choose **appropriate content types** for research goals 5. **Validate** statistics with multiple sources --- ## ๐ Related Skills - `amazon-competitor-analyzer` - Amazon competitive intelligence - `google-maps-search-api-skill` - Business data extraction - `google-news-api-skill` - News monitoring --- **Version**: 1.0.0 **Updated**: 2026-03-27 **API**: BrowserAct MCP
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 โ 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.