Arc Pro B70 Extraction

Level1Techs Forum Extraction Skill

This skill automates the extraction of discussion data from various Level1Techs forum threads and maintains an organized agentic primitive archive on GitHub.

Repository

https://github.com/bojak83318/level1techs-forums

Directory Structure

Primitives are organized by category and sub-category matching the forum URL structure: high-performance-computing/deep-machine-learning-ai/

Primitive Naming

Convention: [topic-slug]-primitive.json

Remote Execution

Extraction is performed within the kasm-vm Docker container ff9c2ffca193 using curl_cffi (chrome124 impersonation) to bypass protections.

Script Location: .gemini/skills/arc-pro-b70-extraction/scripts/extract_l1t.py

Workflow

1. Prepare Script: Ensure the topic list in extract_l1t.py includes the target topic IDs.
2. Push to Container: incus file push .gemini/skills/arc-pro-b70-extraction/scripts/extract_l1t.py kasm-vm/home/kasm-user/extract_l1t.py incus exec kasm-vm -- docker cp /home/kasm-user/extract_l1t.py ff9c2ffca193:/home/kasm-user/extract_l1t.py
3. Execute Extraction: incus exec kasm-vm -- docker exec -u kasm-user ff9c2ffca193 python3 /home/kasm-user/extract_l1t.py
4. Retrieve Primitives: Pull the generated [slug]-primitive.json files from the container back to the host.
5. Sync to GitHub: Move primitives to the correct category folder (e.g., high-performance-computing/deep-machine-learning-ai/) and push to bojak83318/level1techs-forums using the authorized token.

Data Schema (Agentic Primitive)

• primitive_id: "[topic-slug]-primitive"
• domain: "forum.level1techs.com"
• source: Full thread URL
• data.mappings: Array of {username, post_number, created_at, board, topic, content_markdown}