ruflo-ruvllm
claudeRuVLLM local inference with chat formatting, MicroLoRA fine-tuning, and SONA adaptation
3 skills · 1 command · 1 agent
ruvnet/ruflo 81,589
claude
tinker
Skills for fine-tuning language models with the Tinker API — research, debugging, and more.
/
Plugin tinker from marketplace tinker-skills in thinking-machines-lab/tinker-cookbook. Commands read from the repo's manifest — 6 days ago.
What it installs
Skills (4)
debugDiagnose training issues with Tinker — slow steps, hanging sessions, output mismatches, error messages, renderer problems, and deployment issues. Use this skill whenever a user reports that training is slow, steps take too long, sessions are hanging, model outputs differ between Tinker and external
inklingSample, evaluate, and post-train Inkling 2 Small, Inkling, and Inkling-Small, Thinking Machines Lab's models built for Tinker. Use this skill whenever the user mentions Inkling, `thinkingmachines/Inkling`, tml-renderers, `tml_v0` / `TmlV0Renderer`, or thinking/reasoning effort — and whenever they ar
researchConduct post-training research for LLMs using the Tinker API — replicate paper results, explore new training ideas, run and monitor experiments, and document findings. Use this skill whenever the user wants to do research, replicate experiments from a paper or repo, investigate training hypotheses,
rollout-uiBuild or improve UIs for browsing, inspecting, and comparing LLM rollout content, messages, tool calls, and transcripts across models and checkpoints. Use when the user asks for a rollout viewer, trajectory inspector, or accessible transcript diffs. Defer metric-based data and dashboards to Weights
Similar plugins
togetherai-skills
claudeAgent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions, image/video generation, fine-tuning, batch inference, evaluations, sandboxes, dedicated endpoints, and GPU clusters.
anthropics/claude-plugins-official 47,076
llm-finetuning
claudecodexEval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
wshobson/agents 42,461
spinning-up-deep-rl
claudeKnowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.
1 skill · 1 command · 1 agent
alirezarezvani/claude-skills 29,725
fine-tuning
claudeLLM fine-tuning frameworks including Axolotl, LLaMA-Factory, PEFT, and Unsloth. Use when fine-tuning models with LoRA, QLoRA, or full fine-tuning.
98 skills
Orchestra-Research/AI-Research-SKILLs 14,502
symbioza
claudeRun a GPU job under a hard dollar cap and collect the files it writes.
1 skill · 1 MCP server
davepoon/buildwithclaude 3,741
Maintain tinker?
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.
claude & codex pluginslisted