ctaxnagomi/corpuslib-topics

CORPUSLIB Topics Dataset

CORPUSLIB — Agentic Corpus Library for Indirect Learning

This dataset contains the topic catalog for DeckerGUI's CORPUSLIB system. CORPUSLIB is a link-gated knowledge library focused on indirect learning as the AI/agentic technology space evolves.

Purpose

• —Fallback system: When main learning sources are unavailable or undergoing maintenance, CORPUSLIB provides backup topic links
• —Agent training: Structured topic data for training agentic fetch agents (dgui_corpuslib_fetch)
• —Knowledge graph: Topic relationships and categories for graph engineering
• —Corpus memory: Store and retrieve agent knowledge
• —Skill library: Reference for agent skill development

Schema

Categories

• —mobile-agents — Mobile agent development
• —agent-frameworks — Agent frameworks and harnesses
• —engineering-patterns — Loop, graph, memory, eval engineering
• —ai-models — AI model discussions
• —tools-ecosystem — MCP servers, GitHub repos, skills
• —knowledge-management — Second brain, knowledge graphs
• —research — Academic research and papers
• —career — AI engineer career guidance
• —education — Terminology and basics
• —security — TLS, encryption
• —training — Fine-tuning, model training

DeckerGUI Integration

This dataset connects to the DeckerGUI Agentic Ecosystem:

Services

• —KPI Tokenizer (port 3004): Enterprise tracking, usage logging, dcf_agent progression
• —DGUI Emitter (port 3006): Event emission, real-time updates, CompactDOM capture
• —CORPUSLIB Service (port 3012): Standalone corpus library API
• —Tunnel: https://corpuslib.deckergui.my

Architecture

• —CORPUSLIB HUB (Public): Any AI agent can fetch topics and fill timetable
• —CORPUSLIB INSTRUCT (Private): DeckerGUI embedded agents only (requires DGUI Emitter + DGM Compliance)

Agent Rules

For Non-DeckerGUI Agents (HUB Access)

1. 1.Must use CompactDOM-only capture (snapDOM format)
2. 2.Must fill the timetable before accessing topics
3. 3.Must credit owner at end of applied codebase
4. 4.No ClockIN-ClockOUT tracking required

For DeckerGUI Embedded Agents (INSTRUCT Access)

1. 1.Must have DGUI Emitter (Digital API Key)
2. 2.Must have DGM Compliance (DLIM Assessment)
3. 3.Must ClockIN-ClockOUT for progression tracking
4. 4.Full DOM capture available (optional)

Related Skills

• —CORPUSLIB Skill: .agents/skills/corpuslib/SKILL.md
• —Multi-Agent PR Review: .agents/skills/multi-agent-pr-review/SKILL.md
• —Factory Missions: .agents/skills/factory-missions/SKILL.md

Corpus Memory

• —CORPUSLIB DGUI: research_corpus/CORPUSLIB DGUI/ — Topic catalog and agent instructions
• —Multi-Agent Review Corpus: docs/MULTI_AGENT_REVIEW_CORPUS.md — Knowledge corpus for PR review

Usage

Load Dataset

from datasets import load_dataset

dataset = load_dataset("ctaxnagomi/corpuslib-topics")

Filter by Category

engineering_topics = dataset.filter(lambda x: x["category"] == "engineering-patterns")

Search by Tags

graph_topics = dataset.filter(lambda x: "graph" in x["tags"])

License

DeckerGUI Ecosystem — MIT License

Contributing

To contribute topics, email ctaxnagomi@gmail.com

Citation

@dataset{corpuslib_topics_2026,
  title={CORPUSLIB Topics Dataset},
  author={DeckerGUI},
  year={2026},
  url={https://huggingface.co/datasets/ctaxnagomi/corpuslib-topics}
}