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Product Roadmap

Development roadmap for deep-research-skill — the open-source anti-hallucination research engine for AI agents.

Good First Issues — Open for PRs

These tasks are beginner-friendly and a great entry point for first-time contributors.

# Task Category Difficulty Status
#1 Tavily & SearXNG Search API Provider Scraper Easy Open
#2 ArXiv Academic PDF Paper Parser Content Parsing Medium Open
#3 PDF & HTML Report Export (--format html) Output Easy Open
#4 Rich Console Terminal UI & Progress Bars CLI UX Easy Open
#5 Streamlit / Gradio Web Playground Web UI Medium Open

Browse open issues: github.com/LIGHTLPCA/deep-research-skill/issues

Release Milestones

v0.1.0 — Initial Release (Current)

  • Multi-hop search planner (4-vector query decomposition)
  • Async HTML web scraper & clean Markdown converter
  • Cross-source fact auditor & confidence scoring (0–100%)
  • Executive Markdown report synthesizer with inline citations
  • Universal AI compatibility (LIGHT LPCA, OpenAI, Claude, Groq, Ollama)
  • CLI tool (deep-research "Topic")
  • GitHub Actions CI pipeline

v0.2.0 — Multi-Provider & Exporters

  • Tavily, Serper, SearXNG search provider support
  • PDF and HTML export (--format pdf/html)
  • Streamlit web playground interface
  • Cloudflare / anti-bot bypass fallback

v0.3.0 — Vector RAG & Local LLM Integration

  • Local vector database caching for past research results
  • Direct integration with Ollama / vLLM offline LLMs for synthesis
  • Claim verification tree visualizer

How to Claim an Issue

  1. Browse open issues in the Issues tab.
  2. Comment on the issue: "I'd like to work on this!"
  3. Follow CONTRIBUTING.md to set up your environment and submit a PR.