graniet/kheish

Orchestration engine for long-running, tool-using AI agents

This repository also configures its own agents. See what kheish tells them →

227Stars on the repository
79Mods indexed here, across every type
1mo agoLast push, which is what freshness is scored on
Apache-2.0Licence, which decides whether bodies are shown

github-pr-workflow

25

graniet/kheish

Skill Claude CodeCodex

Full pull request lifecycle — create branches, commit changes, open PRs, monitor CI status, auto-fix failures, and merge. Works with gh CLI or falls back to git + GitHub REST API via curl.

not rated 227 1mo ago B 44 tokens copy · 92% Apache-2.0

graniet/kheish

Skill Claude CodeCodex needs its repo

Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.

not rated 227 1mo ago A ✓ AI review 42 tokens copy · 83% Apache-2.0

graniet/kheish

Skill Claude Code

Return the deterministic readiness marker used by live daemon validation scenarios.

not rated 227 1mo ago A SkillSpector: pass 12 tokens original Apache-2.0

find-nearby

28

graniet/kheish

Skill Claude CodeCodex

Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.

not rated 227 1mo ago A SkillSpector: pass 40 tokens original Apache-2.0

mcporter

29

graniet/kheish

Skill Claude CodeCodex

Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.

not rated 227 1mo ago A 38 tokens copy · 86% Apache-2.0

gif-search

30

graniet/kheish

Skill Claude CodeCodex

Search and download GIFs from Tenor using curl. No dependencies beyond curl and jq. Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.

not rated 227 1mo ago A 36 tokens copy · 83% Apache-2.0

heartmula

31

graniet/kheish

Skill Claude CodeCodex

Set up and run HeartMuLa, the open-source music generation model family (Suno-like). Generates full songs from lyrics + tags with multilingual support.

not rated 227 1mo ago A 31 tokens copy · 80% Apache-2.0

songsee

32

graniet/kheish

Skill Claude CodeCodex

Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.

not rated 227 1mo ago A SkillSpector: pass 42 tokens original Apache-2.0

youtube-content

33

graniet/kheish

Skill Claude CodeCodex

Fetch YouTube video transcripts and transform them into structured content (chapters, summaries, threads, blog posts). Use when the user shares a YouTube URL or video link, asks to summarize a video, requests a transcript, or wants to extract and reformat content from any YouTube video.

not rated 227 1mo ago A SkillSpector: pass 59 tokens original Apache-2.0

modal

34

graniet/kheish

Skill Claude CodeCodex

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

not rated 227 1mo ago A 36 tokens copy · 78% Apache-2.0

graniet/kheish

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.

not rated 227 1mo ago A 77 tokens copy · 78% Apache-2.0

weights-and-biases

36

graniet/kheish

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.

not rated 227 1mo ago A 33 tokens copy · 84% Apache-2.0

huggingface-hub

37

graniet/kheish

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.

not rated 227 1mo ago C 37 tokens original Apache-2.0

gguf

38

graniet/kheish

Skill Claude CodeCodex

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.

not rated 227 1mo ago A 42 tokens copy · 91% Apache-2.0

guidance

39

graniet/kheish

Skill Claude CodeCodex

Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework.

not rated 227 1mo ago A 35 tokens copy · 86% Apache-2.0

llama-cpp

40

graniet/kheish

Skill Claude CodeCodex

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

not rated 227 1mo ago A 71 tokens copy · 91% Apache-2.0

obliteratus

41

graniet/kheish

Skill Claude CodeCodex needs its repo

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…

not rated 227 1mo ago A 99 tokens copy · 86% Apache-2.0

outlines

42

graniet/kheish

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.

not rated 227 1mo ago B 47 tokens copy · 92% Apache-2.0

vllm

43

graniet/kheish

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.

not rated 227 1mo ago A 66 tokens copy · 88% Apache-2.0

audiocraft

44

graniet/kheish

Skill Claude CodeCodex

PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.

not rated 227 1mo ago A 46 tokens copy · 80% Apache-2.0

clip

45

graniet/kheish

Skill Claude CodeCodex

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

not rated 227 1mo ago A 58 tokens copy · 83% Apache-2.0

segment-anything

46

graniet/kheish

Skill Claude CodeCodex

Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.

not rated 227 1mo ago A 40 tokens copy · 80% Apache-2.0

stable-diffusion

47

graniet/kheish

Skill Claude CodeCodex

State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.

not rated 227 1mo ago A 43 tokens copy · 81% Apache-2.0

whisper

48

graniet/kheish

Skill Claude CodeCodex

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual…

not rated 227 1mo ago B 64 tokens copy · 89% Apache-2.0

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