{"query":"Ollama","count":20,"timings_ms":{"embed":860,"vector":466,"total":1326},"embed_cached":false,"results":[{"slug":"ArieGoldkin/ollama-local","score":0.4441,"name":"ollama-local","category":"AI & Automation","quality_tier":"listed","quality_score":73,"repo_stars":5,"repo_full_name":"ArieGoldkin/claude-forge","description":"Local LLM inference with Ollama. Use when setting up local models for development, CI pipelines, or cost reduction. Covers model selection, LangChain integration, and performance tuning.","entity_type":"skill","detail_url":"/skills/ArieGoldkin/ollama-local/"},{"slug":"Prism-Shadow/ollama","score":0.42,"name":"ollama","category":"AI & Automation","quality_tier":"featured","quality_score":93,"repo_stars":144,"repo_full_name":"Prism-Shadow/penguin-harness","description":"Deploy and serve local models with Ollama — pull and run them, then expose the OpenAI-compatible endpoint to apps and agents.","entity_type":"skill","detail_url":"/skills/Prism-Shadow/ollama/"},{"slug":"King5upah/ollama-auto","score":0.3898,"name":"ollama-auto","category":"AI & Automation","quality_tier":"listed","quality_score":70,"repo_stars":null,"repo_full_name":"King5upah/claude-ollama-auto-skill","description":"Auto-delegate cheap text tasks to local Ollama (Mistral) — saves Claude tokens for complex reasoning. Automatically triggers on: large list classification, text formatting/cleaning, output pre-filtering, boilerplate generation, simple text decisions. Includes audit mode to track effectiveness over time. Trigger: \"/ollama-auto\", \"--audit\" to see stats, or auto-triggered by Claude on eligible tasks.","entity_type":"skill","detail_url":"/skills/King5upah/ollama-auto/"},{"slug":"bobbymac/teams-ollama","score":0.3892,"name":"teams-ollama","category":"AI & Automation","quality_tier":"listed","quality_score":43,"repo_stars":null,"repo_full_name":"bobbymac/teams-ollama","description":"Claude Code plugin that delegates coding tasks to local Qwen models via Ollama","entity_type":"plugin","detail_url":"/skills/bobbymac/teams-ollama/"},{"slug":"NNIIKKKKII/grepai-embeddings-ollama","score":0.3866,"name":"grepai-embeddings-ollama","category":"AI & Automation","quality_tier":"listed","quality_score":75,"repo_stars":2,"repo_full_name":"NNIIKKKKII/grepai-skills","description":"Configure Ollama as embedding provider for GrepAI. Use this skill for local, private embedding generation.","entity_type":"skill","detail_url":"/skills/NNIIKKKKII/grepai-embeddings-ollama/"},{"slug":"NNIIKKKKII/grepai-ollama-setup","score":0.3816,"name":"grepai-ollama-setup","category":"AI & Automation","quality_tier":"listed","quality_score":75,"repo_stars":2,"repo_full_name":"NNIIKKKKII/grepai-skills","description":"Install and configure Ollama for local embeddings with GrepAI. Use this skill when setting up private, local embedding generation.","entity_type":"skill","detail_url":"/skills/NNIIKKKKII/grepai-ollama-setup/"},{"slug":"agents-inc/ai-infrastructure-ollama","score":0.3735,"name":"ai-infrastructure-ollama","category":"AI & Automation","quality_tier":"listed","quality_score":77,"repo_stars":15,"repo_full_name":"agents-inc/skills","description":"Local LLM inference with the Ollama JavaScript client -- chat, streaming, tool calling, vision, embeddings, structured output, model management, and OpenAI-compatible endpoint","entity_type":"skill","detail_url":"/skills/agents-inc/ai-infrastructure-ollama/"},{"slug":"pleri/olam","score":0.3681,"name":"olam","category":"Productivity & Other","quality_tier":"listed","quality_score":56,"repo_stars":null,"repo_full_name":"pleri/olam-cli","description":"Published artifact for @pleri/olam-cli (source: pleri/olam)","entity_type":"plugin","detail_url":"/skills/pleri/olam/"},{"slug":"rjvim/rjv-ollama-delegate","score":0.3675,"name":"rjv-ollama-delegate","category":"AI & Automation","quality_tier":"listed","quality_score":63,"repo_stars":null,"repo_full_name":"rjvim/ai-skills","description":"Use when delegating mechanical coding/text work to LOCAL Ollama models (free, private, fast) — implementing a feature from a written spec, writing tests from a spec, classification, extraction, summarization, format conversion. Trigger phrases: \"let qwen do it\", \"use the local model\", \"delegate to ollama\", \"spike this on a local model\". NOT for code review, bug-hunting, or anything unverifiable — local models draft, the main agent reviews.","entity_type":"skill","detail_url":"/skills/rjvim/rjv-ollama-delegate/"},{"slug":"jeremylongshore/ollama-setup","score":0.352,"name":"ollama-setup","category":"AI & Automation","quality_tier":"featured","quality_score":99,"repo_stars":2329,"repo_full_name":"jeremylongshore/claude-code-plugins-plus-skills","description":"Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: \"install ollama\", \"local AI\", \"free LLM\", \"self-hosted AI\", \"replace OpenAI\", \"no API costs\". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.","entity_type":"skill","detail_url":"/skills/jeremylongshore/ollama-setup/"},{"slug":"tdimino/llama-cpp","score":0.3512,"name":"llama-cpp","category":"AI & Automation","quality_tier":"listed","quality_score":85,"repo_stars":33,"repo_full_name":"tdimino/claude-code-minoan","description":"Secondary local LLM inference engine via llama.cpp. This skill should be used when running GGUF models directly, loading LoRA adapters for Kothar, benchmarking inference speed, or serving models via llama-server. Includes dedicated Qwen 3.5 serve scripts (9B dense with F16 option, 35B MoE) with asymmetric KV cache and thinking mode. Complements Ollama (which remains primary for RLAMA and general use).","entity_type":"skill","detail_url":"/skills/tdimino/llama-cpp/"},{"slug":"robinbakshi007/rb-ollama","score":0.3324,"name":"rb-ollama","category":"AI & Automation","quality_tier":"listed","quality_score":70,"repo_stars":null,"repo_full_name":"robinbakshi007/ollama-direct-custom-agent","description":"Multi-model AI coding assistant with 51 tools and 13+ providers. Use for code review, refactoring, testing, documentation, and general coding tasks.","entity_type":"skill","detail_url":"/skills/robinbakshi007/rb-ollama/"},{"slug":"rjvim/rjv-codex-ollama-subagents","score":0.3305,"name":"rjv-codex-ollama-subagents","category":"AI & Automation","quality_tier":"listed","quality_score":63,"repo_stars":null,"repo_full_name":"rjvim/ai-skills","description":"Use for any local-Ollama delegation: (a) Codex native subagents with repo tools — GPT-5.5 orchestrator, qwen/gemma explorers for read-only exploration, qwen/gemma workers for scoped edits, hybrid-ollama profile, Ollama serve tuning, mixed OpenAI-mini + local routing; and (b) one-shot local text generation (no repo tools) via the bundled ollama-chat.sh runner — draft-from-spec, tests, classify, summarize. Triggers: 'Codex local Ollama subagents', 'hybrid-ollama', 'qwen-explorer', 'gemma-explorer'","entity_type":"skill","detail_url":"/skills/rjvim/rjv-codex-ollama-subagents/"},{"slug":"suxiaoshao/ollama-api","score":0.3253,"name":"ollama-api","category":"AI & Automation","quality_tier":"listed","quality_score":45,"repo_stars":1,"repo_full_name":"suxiaoshao/gpui","description":"Reference skill for Ollama's native `/api/chat` and `/api/show` endpoints. Use when implementing, reviewing, or debugging an Ollama provider that needs chat inference, chat streaming, or full model-information retrieval from Ollama.","entity_type":"skill","detail_url":"/skills/suxiaoshao/ollama-api/"},{"slug":"xuiltul/local-llm-tool","score":0.3193,"name":"local-llm-tool","category":"AI & Automation","quality_tier":"solid","quality_score":89,"repo_stars":224,"repo_full_name":"xuiltul/animaworks","description":"Local LLM execution tool for text generation and chat through Ollama or vLLM endpoints. Use when: running on-prem inference, calling a local GPU model, or summarizing with a self-hosted LLM.","entity_type":"skill","detail_url":"/skills/xuiltul/local-llm-tool/"},{"slug":"sliamh11/add-llama-cpp","score":0.3159,"name":"add-llama-cpp","category":"AI & Automation","quality_tier":"solid","quality_score":83,"repo_stars":48,"repo_full_name":"sliamh11/Deus","description":"Install and verify a local llama.cpp server for optional Deus local-generation experiments. Keeps Ollama as the required default for embeddings and judge work.","entity_type":"skill","detail_url":"/skills/sliamh11/add-llama-cpp/"},{"slug":"bakw00ds/local-llm","score":0.2934,"name":"local-llm","category":"AI & Automation","quality_tier":"listed","quality_score":81,"repo_stars":2,"repo_full_name":"bakw00ds/yakos","description":"Hand off bulk transformation work (summarize, classify, extract, first-pass) to a local LLM via Ollama. Use when the task is high-volume and doesn't need Claude-grade reasoning, to save cost and latency.","entity_type":"skill","detail_url":"/skills/bakw00ds/local-llm/"},{"slug":"Prism-Shadow/vllm","score":0.2844,"name":"vllm","category":"AI & Automation","quality_tier":"featured","quality_score":93,"repo_stars":144,"repo_full_name":"Prism-Shadow/penguin-harness","description":"Deploy and serve LLMs with vLLM behind an OpenAI-compatible endpoint, with tool calling enabled for agent workloads.","entity_type":"skill","detail_url":"/skills/Prism-Shadow/vllm/"},{"slug":"Prism-Shadow/llamafactory","score":0.2765,"name":"llamafactory","category":"AI & Automation","quality_tier":"featured","quality_score":93,"repo_stars":144,"repo_full_name":"Prism-Shadow/penguin-harness","description":"Fine-tune LLMs with LlamaFactory — register datasets, train via YAML configs, merge LoRA adapters and serve the result.","entity_type":"skill","detail_url":"/skills/Prism-Shadow/llamafactory/"},{"slug":"scchearn/loamusing","score":0.2763,"name":"loamusing","category":"AI & Automation","quality_tier":"listed","quality_score":75,"repo_stars":null,"repo_full_name":"scchearn/loam","description":"The always-on protocol for the loam skill namespace. Use at session start and whenever a loam task appears. Routes goals and other loam work, explains the memory model (memory = umbrella; wiki, guidance, and checkpoints are substrates), and lists cross-cutting rules. This is a routing/meta skill — delegate to a specific loam skill rather than performing work itself.","entity_type":"skill","detail_url":"/skills/scchearn/loamusing/"}],"source":{"source":"ClaudeAtlas","source_url":"https://claudeatlas.com","license":"MIT (catalog metadata); skills retain upstream licenses","data_recency":"Updated daily ~06:30 UTC","methodology_url":"https://claudeatlas.com/methodology/","citation_url":"https://claudeatlas.com/credits/","recommended_citation":"Source: ClaudeAtlas — https://claudeatlas.com"}}