無料
調査とデータ
LLM Wiki Compiler
Compile documents, research papers, and notes into a persistent knowledge wiki with source citations and reusable context retrieval.
2253スター240フォーク
リポジトリの最終プッシュ
Atomic Strata
スキルを探す
ウェブサイト、画像、プレゼンテーション、動画のためのオリジナルワークフロー。
無料
スキル・MCP
Manifest LLM Gateway
Operate Manifest model routing, application keys, request diagnostics, and LLM cost controls.
7631スター528フォーク
リポジトリの最終プッシュ
mnfst
Find free LLM API options and follow provider-specific key and endpoint setup instructions.
1.3万スター1547フォーク
リポジトリの最終プッシュ
ai-agents skill for Claude AI. Grade A. Coaches a language learner with a CEFR-targeted plan built on comprehensible input, spaced repetition, and early speaking practice, including daily minimums, a session template, and a weekly schedule. Use when someone says "help me learn Spanish", "I keep forgetting vocabulary", "how do I get from A2 to B1", or "design my daily language routine". Do NOT use for general exam or academic study techniques - use study-system instead.
25スター3フォーク
リポジトリの最終プッシュ
ai-agents skill for Claude AI. Grade A. General Blender workflow skill for AI agents working with .blend, .fbx, .obj, .glb, glTF, materials, scene inspection, bpy automation, headless Blender batch runs, export/reimport validation, previews, and optional Blender MCP control. Use when a task asks to open, inspect, create, automate, convert, optimize, render, or verify Blender or 3D asset files in a user-agnostic way.
9スター0フォーク
リポジトリの最終プッシュ
無料
ウェブ・UI
Hallmark Web Design
Build, redesign or audit websites with a clear visual direction, 48 themes or custom styling, and local UI checks for Claude Code, Codex, Cursor and OpenCode.
5.4万スター2860フォーク
リポジトリの最終プッシュ
Nutlope
Identify and label application LLM workflows for Caveman Cloud cost attribution.
12万スター6974フォーク
リポジトリの最終プッシュ
無料・有料プラン
スキル・MCP
ClawRouter — Model Routing
Route model requests through the BlockRun hosted gateway and use the associated agent tools.
6663スター654フォーク
リポジトリの最終プッシュ
BlockRunAI
Connect an application’s LLM calls to the Caveman Cloud gateway for measurement.
12万スター6974フォーク
リポジトリの最終プッシュ
Practical workflows for assessing and improving product-specific LLM evaluations.
1764スター126フォーク
リポジトリの最終プッシュ
Audit an LLM evaluation pipeline for missing error analysis, unvalidated judges, data leakage and stale checks.
1764スター126フォーク
リポジトリの最終プッシュ
Run a managed pentest of a web app, API, repository, or local workspace on the app.strix.ai platform with the `strix cloud` CLI or REST API — no local Docker or LLM key needed.
7.5万スター8489フォーク
リポジトリの最終プッシュ
Field-tested methodology and concrete recipes for training and operating large-scale LLM/VLM/multi-modal models end to end - choosing and benchmarking accelerators, storage and network; SLURM/Kubernetes orchestration; maximizing training throughput and fitting models in memory; diagnosing and surviving training instabilities, NaN/Inf, and hardware/job failures; checkpointing and fault tolerance; inference…
2万スター1301フォーク
リポジトリの最終プッシュ
丁寧につくった小さなライブラリ。新しいスキルも追加予定です。