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Grok Bot+18 agentsDataGoldMine HFT Context Broker
High-frequency web scraping and real-time developer context broker for coding AI agents via MCP.
Free
DataGoldMine HFT Context Broker
Example session with this skill installed
Harvest the latest documentation for the Vercel AI SDK Core and summarize the breaking changes in version 3.0 for my current migration task.
- Read your context and instructions
- Compiled the datagoldmine hft context
I have harvested the latest documentation from the Vercel AI SDK site. I analyzed the version 3.0 specifications to identify breaking changes relevant to your migration.
Vercel AI SDK 3.0 Migration Audit
| Feature | Change Type | Description | Required Action |
|---|---|---|---|
generateText | Breaking | Moved from @ai-sdk/ui to @ai-sdk/core. | Update import statements to the new package. |
streamText | Breaking | Callback structure changed; onFinish now returns a single object. | Refactor callback handlers to destructure the result object. |
openai provider | Update | Requires explicit instantiation via createOpenAI. | Replace string-based provider IDs with the new provider instance. |
| Middleware | Deprecation | Legacy experimental middleware is removed. | Move logic to the new experimental_telemetry or provider-level hooks. |
| Tool Calling | Refactor | tools property now uses a stricter schema validation. | Update Zod schemas to match the 3.0 tool helper requirements. |
Next steps
- Run
npm install ai@latest @ai-sdk/openaito update your core dependencies. - Search and replace all imports from
aior@ai-sdk/uithat involve core logic. - Apply the
createOpenAIconfiguration to your root route handler.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Coding agents often fail because they lack real-time context from modern web documentation or live API updates. Manual scraping is too slow for high-frequency development loops, and standard search results are frequently outdated.
lWhat it does
- Performs high-frequency web scraping to feed real-time data into your agent's context window.
- Brokers developer-specific context from documentation, GitHub repos, and live web sources.
- Exposes a dedicated harvesting API for rapid data ingestion during coding sessions.
- Provides operational stats to monitor data freshness and retrieval volume.
Frameworks & tools
Built for the Model Context Protocol (MCP). Works with Claude Code, Cursor, and any LLM agent supporting MCP discovery.
Why this beats prompting it yourself
Standard LLM prompts rely on training data or slow, generic search tools. This skill provides a specialized high-speed pipeline designed for developer context, ensuring your agent sees the latest library changes and API specs before it writes a single line of code.
Use cases
- Incorporate the latest, undocumented API changes into your current coding task.
- Deep-scrape technical documentation to solve specific library version conflicts.
- Monitor live repository updates to keep local agent context in sync with upstream.
- Feed real-time error solution data from forums directly into a debugging loop.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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