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Topics: Local LLMs AI / ML Full archive →

The Wire · Showcase

OLLAMA AGENTS NOW IMPORT SKILLS FROM CODEX AND CLAUDE

By RepoJournal · Filed · About Local LLMs

dhiltgen ch-wan ParthSareen m1el Pascal sagearc connorcarpenter15
14 people shipped this
dhiltgen @dhiltgen 2 cited ch-wan @ch-wan 2 cited ParthSareen @ParthSareen 1 cited m1el @m1el 1 cited Pascal @ServeurpersoCom 1 cited sagearc @sagearc 1 cited connorcarpenter15 @connorcarpenter15 1 cited ColinZ22 @ColinZ22 1 cited rankaiyx @rankaiyx Niklas Wenzel @nikwen Oliver Simons @ORippler noooop @noooop njhill @njhill ispobock @ispobock

Ollama shipped a skills import system that lets coding agents pull validated skill directories from external sources, while simultaneous fixes to GLM tool-call parsing and Laguna model alignment prevent agents from silently failing.

The agent-TUI now supports `/skills import codex|claude|pi` with nested slash-command completion, validating and reloading skill catalogs without overwriting existing entries [1]. This lands as GLM's tool-call parser gets a critical fix: the parser was buffering incomplete calls and returning empty responses on stream end, leaving agents unable to continue when models partially emitted closing tags [2]. Ollama also aligned Laguna with upstream llama.cpp, removing local implementation and translating older GGUF metadata names to keep existing models loading [3]. Across the llama.cpp ecosystem, WebGPU gained depthwise convolution support ported from Vulkan [4], while the UI now lets users defer reasoning decisions to the server instead of forcing a setting that breaks unconditional-reasoning models like Gemma 4 [5]. vLLM's Rust frontend extracted request preparation into engine-free processors [6] and added a gRPC abort control RPC for canceling requests by ID [7], while ROCm support now handles AMD Quark DeepSeek-V4-MXFP4 checkpoints with fused shared expert support [8]. SGLang's config refactor introduced a structured RuntimeContext API with per-domain namespace bags [9], though a partial revert removed migrated config-namespace reads after correctness defects surfaced [10].

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Action items

References

  1. [1] agent: import skills from coding agents ↗ ollama/ollama
  2. [2] model/parsers: finalize incomplete GLM tool calls ↗ ollama/ollama
  3. [3] model: align Laguna with upstream llama.cpp ↗ ollama/ollama
  4. [4] webgpu : add CONV_2D_DW (depthwise conv2d) kernel (#25847) ggml-org/llama.cpp
  5. [5] ui: Add a "Default" option for the reasoning selector (#25846) ggml-org/llama.cpp
  6. [6] [Rust Frontend] Extract request preparation from the inference path ↗ vllm-project/vllm
  7. [7] [Rust Frontend][gRPC] Add abort control RPC ↗ vllm-project/vllm
  8. [8] [ROCm] Fused Shared Expert Support for AMD Quark DeepSeek-V4 Model Checkpoints ↗ vllm-project/vllm
  9. [9] runtime_context: add resolved-config namespace bags and accessors ↗ sgl-project/sglang
  10. [10] Revert RuntimeContext config-namespace reads/roles (#31813–#31817) ↗ sgl-project/sglang

Quick answers

What shipped in Local LLMs on July 23, 2026?
Ollama shipped a skills import system that lets coding agents pull validated skill directories from external sources, while simultaneous fixes to GLM tool-call parsing and Laguna model alignment prevent agents from silently failing. In total, 101 commits, 101 pull requests, and 10 releases landed.
Who contributed to Local LLMs on July 23, 2026?
14 developers shipped this update, including ParthSareen, dhiltgen, m1el, rankaiyx, Niklas Wenzel, Oliver Simons, Pascal, and sagearc, and 6 more.
What were the notable Local LLMs updates?
agent: import skills from coding agents, model/parsers: finalize incomplete GLM tool calls, and model: align Laguna with upstream llama.cpp.

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