by alfadur7 · Claude Skill · ★ 170
Harness engineering applied to knowledge production: a self-evolving multi-agent newsroom that turns your documents into a cross-linked markdown wiki. A "reground" loop pulls published pages back in before they go stale — writer ≠ reviewer, local-first, a structured alternative to RAG.
| Stars | 170 |
| Forks | 27 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 38.8/100 |
| Last Updated | 2026-10-05 |
| Created | 2026-06-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~316k |
These tools work well together with llm-wiki-newsroom for enhanced workflows:
Explore other popular claude skill tools:
llm-wiki-newsroom is Harness engineering applied to knowledge production: a self-evolving multi-agent newsroom that turns your documents into a cross-linked markdown wiki. A "reground" loop pulls published pages back in b. It is categorized as a Claude Skill with 170 GitHub stars.
llm-wiki-newsroom is primarily written in Python. It covers topics such as agentic-ai, ai-agents, claude.
You can find installation instructions and usage details in the llm-wiki-newsroom GitHub repository at github.com/alfadur7/llm-wiki-newsroom. The project has 170 stars and 27 forks, indicating an active community.
llm-wiki-newsroom is released under the MIT license, making it free to use and modify according to the license terms.