MathLab/memory/2026-02-19.md

2026-02-19 - Hacker-Style Math Compiler Setup

🎯 Major Workflow Initialized

Hacker-Style Math-for-DL/RL Textbook Compiler - Autonomous workflow for demystifying mathematical symbols by translating them into engineering APIs.

Core Mission

• Goal: Help user overcome "symbol phobia" in math for DL/RL
• Tone: Hacker mindset - treat formulas as legacy code to refactor
• Translation: Greek symbols → programmatic concepts (Σ = for loop, 𝔼 = Monte Carlo sampling, ∇ = .grad)

📚 Knowledge Sources

Target: /mnt/ai/textbook

1. "Statistical Learning Method" (Phase 1: Symbol desensitization, convex optimization, dimensional curse)
2. "Dive into Deep Learning" (Phase 2: Computational graphs, automatic differentiation, tensor mapping)
3. "Mathematical Foundations of Reinforcement Learning" (Phase 3: State spaces, MDPs, dynamic agent interaction)

🗂️ Repository Structure

/home/zhn/clawd/
├── staging/          # Weekend batch output (7 days)
├── courseware/       # Deployed HTML courseware
├── exercises/        # Python task files (numpy/torch only)
├── tests/            # pytest test files
└── templates/        # HTML/Python test templates

⏰ Cron Jobs Configured

Job ID	Schedule	Action
87041122-59af-4f79-8599-e987fd494dad	Sat 10:00 AM	Weekend batch compile (generate 7 days of materials)
78dee83d-4c29-4752-b455-e90f352492df	Daily 14:00 PM	Deploy daily content + git push + Telegram notify

📦 Artifacts Generated

course_dayN.html - 6-module structure:

1. 技术债与演进动机 (Technical Debt & Evolution)
2. 直觉建立 (Visual Intuition) + video keyword
3. 符号解码字典 (Symbol Decoder)
4. 核心推导 (The Math) - strict LaTeX rules
5. 工程优化点 (Optimization Bottleneck)
6. 今日靶机 (OJ Mission)

exercises/dayN_task.py - Math skeleton + plot_concept() visualizer

tests/test_dayN.py - pytest with shape assertions + np.testing.assert_allclose

🚧 Pending Setup

• /mnt/ai/textbook directory created locally (needs actual textbook files)
• Gogs remote not yet configured - need user's Gogs URL
• Telegram bot integration uses existing channel routing

📝 Next Steps

1. User needs to place textbook PDFs/MDs in /mnt/ai/textbook
2. Configure Gogs remote URL for git push
3. First weekend batch will run Saturday 10:00 AM

2026-02-20 - Skill Creation Progress

20:00 - Created math-textbook-compiler skill

Actions:

1. ✅ Initialized skill using skill-creator template
2. ✅ Created structure: skills/math-textbook-compiler/
3. ✅ Wrote comprehensive SKILL.md documenting:
   • Core mission: Transform math formulas into engineering APIs
   • 3-course structure (Statistical Learning, Deep Learning, RL Math Foundations)
   • Directory structure and workflows
   • Strict LaTeX rules: $formula$ and $$formula$$ (no spaces)
   • Python exercise constraints (numpy/torch only)
   • Git repository configurations
   • Cron job schedules

Git Operations:

• MathLab ✅ Updated and pushed to origin
  • Commit: 24b4071
  • Removed: old ArXiv files (generate_arxiv_digest.js, package files)
  • Added: math-textbook-compiler skill
• RobotDaily 🔄 Pending

Todo:

• Create RobotDaily daily-bot-skill
• Update and clear RobotDaily repository
• Push to RobotDaily and test

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System initialized. Waiting for textbook content.