lora skills

aiming-lab/MetaClaw

Skill Claude CodeCodex

Use this skill before any data analysis, transformation, or modeling. Always inspect and validate the data before drawing conclusions or writing transformations.

aiming-lab/MetaClaw

Skill Claude CodeCodex

Use this skill when implementing any endpoint, form handler, CLI tool, or function that accepts external input. Validate and sanitize all untrusted data before processing — never assume input is safe.

aiming-lab/MetaClaw

Skill Claude CodeCodex

Use this skill when building production services, pipelines, or automation that needs to be debugged, monitored, or audited. Add structured logs, metrics, and health checks before shipping any service.

mr-tbot/mesh-api

Skill Claude CodeCodex

Interact with a Meshtastic LoRa mesh network through MESH-API — list nodes, read messages, send texts, and check connection status.

timoncool/civitai-mcp-ultimate

Skill Claude CodeCodex

Ultimate MCP server for Civitai — search models, browse top images with prompts, download LoRAs/Checkpoints, analyze trends. Use when user asks about AI models, LoRAs, checkpoints, Stable Diffusion, Flux, image generation prompts, or Civitai.

SwanHubX/pytrio-skill

Skill Claude CodeCodex

使用 PyTRIO/TRIO 编写、调试或解释远程大模型训练与推理代码。用户提到 pytrio、TRIO、PyTRIO SDK、ServiceClient、TrainingClient、SamplingClient、LoRA 训练、SFT、异步 SFT、多模态推理、多模态训练、Vision GRPO、视觉 RLVR、ImageChunk、RL、GRPO、OPD、Search-R1、ReTool、DAPO、GSPO、ALFWorld、TextWorld、Agentic RL、OPSD、On-Policy Self-Distillation、DPO、custom…

cerebrixos-org/tuning-engines-cli

Skill Claude CodeCodex

Use Tuning Engines MCP tools for tenant-scoped AI governance, traces, approvals, usage, registries, evaluations, and fine-tuning operations.

rchaz/tunelab

Skill Claude CodeCodex

Build a training dataset for fine-tuning, distillation, or continued pretraining. Use when the user wants to turn logs/CSV/JSONL into fine-tuning data, label data with an LLM, distill a teacher model's outputs, generate synthetic training examples from nothing, chunk raw domain text for CPT, deduplicate a dataset…

rchaz/tunelab

Skill Claude CodeCodex

The tunelab front door — decides whether a task needs fine-tuning at all, by running EXPERIMENTS on the user's data, not just interviewing. Use whenever the user wants to fine-tune, distill, or train a small/local model, cut their LLM API bill, replace frontier calls with something cheaper or faster, build a…

rchaz/tunelab

Skill Claude CodeCodex

Evaluate a fine-tuned, distilled, or continued-pretrained model with held-out test discipline — the honest scoreboard at the end of the tunelab pipeline. Pre-registers the acceptance bar and metric set BEFORE results exist, runs the untouched test split through base and tuned models, scores classification (accuracy…

sandraschi/civitai-mcp

Skill Claude CodeCodex

Discover Civitai models and pin weights into the comfyops models depot.

storyAura/lora-tagging-skills

Skill Claude CodeCodex

Audit dataset-wide booru tags for a character LoRA with a locked trigger and a visual reference; supports single- and dual-character datasets.

storyAura/lora-tagging-skills

Skill Claude CodeCodex

Reorder and purify scattered image-generation tags (Stable Diffusion, Flux, NovelAI, ComfyUI, WebUI, danbooru-style booru tags) into a single clean comma-separated prompt string built on a visual-weight pyramid. Use this skill PROACTIVELY whenever the user is writing or fixing a prompt for diffusion models — tags…