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StatPan/README.md

StatPan / Ilgu Kim

Building GitHub-native agent workflows, MCP tool layers, and data infrastructure for testable AI-assisted delivery.

Current Focus

  • Gira: GitHub-native control plane for issue -> branch -> PR -> checks -> completion evidence
  • MCP/tooling: typed tool interfaces, versioned specs, fixtures, and agent-ready execution paths
  • Datapan: private data platform workbench for Korean public/domain data, research corpora, and agent-ready data workflows
  • AI-assisted delivery: tests, lint, CI, review loops, and operational guardrails around agent work

Data Infrastructure

Datapan is my private data platform workbench. The public signal is the range and structure of the collection axes, not only raw volume.

  • Public and administrative data workflows
  • Legal, assembly, policy, and regulated-domain data
  • Real estate, geospatial, routing, weather, and app-supporting feature marts
  • Market, macro, finance, and investment research data
  • Research-paper metadata and literature corpora, including arXiv, OpenAlex, and HuggingFace Papers style pipelines
  • Raw ingestion, canonical schemas, marts, coverage checks, and data lineage for agent-ready downstream use

Open Source Activity

Recent upstream work includes OpenHands Software Agent SDK, OpenHands, and LiteLLM:

Writing

  • statpan.com for technical notes, project notes, and longer-form engineering context

Pinned Loading

  1. gira gira Public

    GitHub-native control plane for issue-to-PR AI software workflows

    Go 1

  2. agentree agentree Public

    Figma-like infinite canvas for visualizing and controlling AI agent trees in real-time

    TypeScript

  3. assembly-api-client assembly-api-client Public

    Python

  4. AssemblyMCP AssemblyMCP Public

    Python

  5. pyjwt-rs pyjwt-rs Public

    Python

  6. NousResearch/hermes-agent NousResearch/hermes-agent Public

    The agent that grows with you

    Python 156k 25k