moltis-org

62 mods across 1 repository, 2.8k stars between them.

bluebubbles

49

moltis-org/moltis

Skill Claude CodeCodex

Use when you need to send or manage iMessages via BlueBubbles (recommended iMessage integration). Calls go through the generic message tool with channel="bluebubbles".

2.8k 4d ago A 38 tokens copy · 86% MIT

discord

50

moltis-org/moltis

Skill Claude CodeCodex

Discord ops via the message tool (channel=discord).

2.8k 4d ago A 13 tokens copy · 91% MIT

discrawl

51

moltis-org/moltis

Skill Claude CodeCodex

Archive and search Discord guild messages, threads, and members via the discrawl CLI. Supports bot API sync, local cache import, full-text and semantic search, and Git-backed NDJSON snapshots.

2.8k 4d ago A 42 tokens original MIT

imsg

52

moltis-org/moltis

Skill Claude CodeCodex

Use imsg to read and send iMessage/SMS via macOS Messages.app.

2.8k 4d ago A 21 tokens original MIT

slacrawl

53

moltis-org/moltis

Skill Claude CodeCodex

Archive and search Slack workspace messages, threads, and channels via the slacrawl CLI. Supports API sync, Slack export ZIP import, local desktop cache import, and full-text search.

2.8k 4d ago A 41 tokens original MIT

wacli

54

moltis-org/moltis

Skill Claude CodeCodex

Send WhatsApp messages to other people or search/sync WhatsApp history via the wacli CLI (not for normal user chats).

2.8k 4d ago A 31 tokens original MIT

wacrawl

55

moltis-org/moltis

Skill Claude CodeCodex

Read-only local archive and full-text search of WhatsApp Desktop messages via the wacrawl CLI. Use for searching chat history, exporting conversations, and creating encrypted backups. macOS only (reads local WhatsApp Desktop SQLite databases).

2.8k 4d ago A 50 tokens original MIT

moltis-org/moltis

Skill Claude CodeCodex

Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.

2.8k 4d ago A 85 tokens copy · 88% MIT

weights-and-biases

57

moltis-org/moltis

Skill Claude CodeCodex

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform.

2.8k 4d ago A 39 tokens copy · 88% MIT

huggingface-hub

58

moltis-org/moltis

Skill Claude CodeCodex

Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.

2.8k 4d ago C 43 tokens original MIT

llama-cpp

59

moltis-org/moltis

Skill Claude CodeCodex

Run LLM inference with llama.cpp on CPU, Apple Silicon, AMD/Intel GPUs, or NVIDIA — plus GGUF model conversion and quantization (2–8 bit with K-quants and imatrix). Covers CLI, Python bindings, OpenAI-compatible server, and Ollama/LM Studio integration. Use for edge deployment, M1/M2/M3/M4 Macs, CUDA-less…

2.8k 4d ago A 91 tokens original MIT

obliteratus

60

moltis-org/moltis

Skill Claude CodeCodex

Remove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, LEACE, SAE decomposition, etc.) to excise guardrails while preserving reasoning. 9 CLI methods, 28 analysis modules, 116 model presets across 5 compute tiers, tournament…

2.8k 4d ago A 103 tokens original MIT

outlines

61

moltis-org/moltis

Skill Claude CodeCodex

Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library.

2.8k 4d ago B 50 tokens original MIT

serving-llms-vllm

62

moltis-org/moltis

Skill Claude CodeCodex

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.

2.8k 4d ago A 75 tokens copy · 89% MIT