Bvp Minor Project — Development skill for Claude Code
Pathfinder — agentic internship scraper (Gemini + OpenAI + Claude via OpenRouter).
How to install Bvp Minor Project
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open ayush-that/bvp-minor-project and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Bvp Minor Project does
Pathfinder — agentic internship scraper (Gemini + OpenAI + Claude via OpenRouter).
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README
Pathfinder — Autonomous Multi-Agent Recruitment & Outreach Platform
Pathfinder is an autonomous, multi-agent platform engineered to crawl career portals, extract structured role data, audit schema integrity, and qualitatively rank candidate resumes for startup internship matching.
Everything runs in **one unified interface** at the root of the project with a high-performance Python FastAPI backend, real-time Server-Sent Events (SSE) streaming, zero required logins, and underlying AI models completely abstracted from the end user.
Architecture Diagram

*A full editable Excalidraw diagram is also available in [`docs/architecture.excalidraw`](docs/architecture.excalidraw) for interactive presentations.*
Key Capabilities
- 4 Autonomous Specialist Agents:
- Discovery Agent (Portal Crawler): Traverses careers portals via Firecrawl to isolate live, direct job application URLs while eliminating boilerplate navigational links.
- Extraction Agent (Schema Engine): Converts unstructured job descriptions into strict, typed schema (job title, compensation, location, work mode, key technical skills).
- Critic Agent (Integrity Auditor): Audits extracted data directly against raw source text to patch hallucinations, verify work modes, and ensure link validity.
- Matching Agent (Fit Reasoner): Performs deep qualitative reasoning comparing candidate resumes with role demands, outputting fit scores (0–100) and articulate explanations.
- Zero-Login Local Mode: Seamlessly auto-hydrated with a local developer profile—no OAuth popups, Google sign-ins, or auth walls.
- Abstracted AI Infrastructure: The user interface focuses entirely on functional capabilities. All underlying models and inference providers are abstracted away.
- Resilient Presentation Fail-Safe: Built-in heuristic fallbacks ensure that live demonstrations will gracefully complete with
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