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Zhu Hangcheng / AI System Builder

Personal AI systems, research workflows, and intelligence infrastructure.

This repository is the public portfolio hub for a larger working environment. It is organized around three layers:

  • skills/: reusable agent skills and process modules
  • systems/: larger system projects and operating environments
  • support/: supporting assets and lockfiles

If you only open one page, start with INDEX.md.

What This Repo Is

This is not a random dump of local tools.
It is a curated showcase of work around:

  • Personal AI operating systems
  • AI / Tech / Finance intelligence workflows
  • Research Ops
  • Agent reliability and project scaffolds

Featured Systems

Personal AI OS core. Focused on identity, memory, workbench, collaboration, and self-maintenance boundaries.

An intelligence system for AI, technology, finance, and macro signals. Includes daily radar, long-form reports, inspiration capture, action packs, and heartbeat-style follow-up.

Research Ops subsystem covering literature radar, paper cards, data health checks, and experiment logging.

Selected Skills

These are representative modules rather than the full catalog:

  • brainstorming: clarify requirements before building
  • writing-plans: convert specs into executable plans
  • verification-before-completion: enforce evidence before completion claims
  • systematic-debugging: debug from hypotheses and evidence, not guesswork
  • auto_test_web_app_v5: module-by-module web/app regression testing
  • folder-organizer-safe: reversible, safety-first local folder cleanup

How To Navigate

If you want the big picture

  1. Read INDEX.md
  2. Open systems/README.md
  3. Start with ai-os, ai-news-os, and ai-research-os

If you want reusable process building blocks

Go to skills/ and start with:

  1. brainstorming
  2. writing-plans
  3. verification-before-completion

If you care about agent reliability and system rigor

Start with:

  1. systems/ai-news-os/README.md
  2. systems/ai-research-os/README.md
  3. skills/systematic-debugging
  4. skills/test-driven-development

Structure

skills-github-export/
  README.md
  INDEX.md
  skills/
  systems/
  support/

Notes

  • This public repo is curated for external viewing.
  • Sensitive local state, private raw notes, and internal operating artifacts are intentionally excluded.
  • Some systems here are portfolio-facing slices of larger active workspaces.

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Personal AI systems, skills, research ops, and intelligence workflows.

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