Archive · · Jun 2026 – Jun 2026 · Updated 06:21 UTC
Archive Every processed story in chronological order, with the newest coverage first. Filter by tag, source, or score to drill in.
Total · all-time 405
Avg score 5.7 ▲ 0.0 vs all tags
Stories / month Peak 278
Jun 25 Sep 25 Dec 25 Mar 26 Jun 26
Filters · 2 tag: tool-use × author: Xueping Gao ×
Category
All categories 1 New Models & Releases 0 Agent Frameworks & Tools 0 Agentic Coding 0 Research Papers 1 Open Source 0 Industry & Business 0 Infrastructure & MLOps 0 Tutorials & How-To 0 Regulation & Safety 0 Applications & Use Cases 0 Opinion & Analysis 0 Community & Events 0 Source kind
Any source kind 1 Primary (vendor) 0 Community (HN, Reddit, X) 0 Research (arXiv) 1 Repos (GitHub) 0 Top authors
github-actions[bot] 14 u/modelcontextprotocol 7 ashwin-ant 7 GitHub 5 curatedmcp 5 OpenAI 5 Bolt․new 4 Baris Sozen 4 Top tags
#agent-framework · 1 #benchmarks · 1 #mcp · 1 #multi-agent · 1 #tool-use · 1
Co-occurring tags
+#agent-framework · 1 +#benchmarks · 1 +#mcp · 1 +#multi-agent · 1
1 story· Showing 1–1 · Page 1 of 1
W25 1 story · Jun 15–21
The paper identifies task decomposition — not retrieval — as the binding constraint in multi-skill agent planning, and SAD's single-iteration fix raises decomposition accuracy by over 32 percentage points, directly improving how reliably agents can assemble executable plans from large real-world skill libraries.