13,613 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Sample, evaluate, and post-train Inkling and Inkling-Small from Pi. Use when the user mentions Inkling, tml-renderers, TMLv0, thinking effort, Inkling-Small, or Inkling audio/images. Load before writing Inkling training or eval code.
Compress images, long prompts, conversations, and RAG documents locally via Ollama before consuming LLM tokens. Reduces token usage by 80% on images and 85% on text. Use proactively when: the user uploads images, processes long context, works with multiple RAG sources, or when approaching token limits.
Comprehensive AI agent building skill merging Perplexity Computer's skill creation, webserver, and automation capabilities with Claude Code's agent orchestration, MCP server building, RAG system construction, subagent coordination, parallel agent dispatching, prompt optimization, and execution planning. Covers…
Use this skill when LoopAI needs dataset discovery, acquisition, web-page collection, DataMixer lakehouse operations, data processing, indexing, recipe planning, or production training-data export. In long-running Codex SDK loops, when Analyzer produces an analysis report, failure taxonomy, or user request that…
Use when the user wants to analyze their communication style with AI from Claude Code logs — asks for a "prompt warrior" profile, an "AI profile", "wrapped", a psychological portrait of how they prompt, statistics of their sessions/messages, or personalized prompt-engineering recommendations based on their chat…
Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill.
This skill should be used when users request help optimizing, improving, or refining their prompts or instructions for AI models. Use this skill when users provide vague, unclear, or poorly structured prompts and need assistance transforming them into clear, effective, and well-structured instructions that AI models…
Write better prompts for Kling 3.0 AI video generation. Use when the user wants to create, write, improve, or refine prompts — text-to-video, image-to-video, keyframes, multi-shot sequences, or dialogue scenes.
End-to-end crop disease detection skill supporting classification (which disease), detection (where is the disease), and segmentation (disease region) at three granularity levels, with multiple SOTA models and training strategies built in.
AI product development wisdom from 120+ Lenny's Podcast episodes. Covers AI product strategy, LLM applications, ML integration, AI agents, and building AI-native products. Use when building AI products, integrating LLMs, designing AI features, or developing AI strategy.
Semantic search, context management, and document indexing via OpenViking. Use when the user asks to: index/import documents or files into a knowledge base, perform semantic search across indexed content, browse or explore indexed resources, get summaries/overviews of indexed documents, manage an OpenViking instance…
A set of instructions for controlling LiteLLM usage and spending. It covers virtual keys, which can identify users or applications, along with budgets, limits, and request labels.
Magic ETL dataflows via community-domo-cli — list, get-definition, create, update, run, execution status; JSON DAG actions, transforms, joins. Use when automating dataflows with the community Domo CLI end-to-end. For REST/Java-CLI–first flows or mixed API patterns, use magic-etl instead.
Use when the user wants to make Claude Code cheaper by improving prompt-cache hit rate, especially for MiMo or other OpenAI-compatible routed models. Trigger for Claude Code cache-hit analysis, cache-friendly command construction, paired baseline vs candidate evaluation, token usage logging, or use of…
Tactical LLM-friendly site optimization for making a website the best citable answer for AI assistants and RAG retrieval. Use for auditing and optimizing sites such as mlllm.io for llms.txt, AI citation readiness, pillar pages, direct-answer blocks, TL;DR sections, FAQ/schema, article/news schema, topic-to-URL…
Automate an MLOps project with mise tasks, lefthook hooks, Docker images, GitHub Actions, and MLflow tracking on a SQL backend. Use when adding a task runner, git hooks, CI/CD, or experiment tracking to a working package.
A tool that uses the Gemini web service to generate text and images. It can accept reference images and keep context across multiple messages using a session.
Adapt any prompt to fit Claude Fable 5 (claude-fable-5) without losing its meaning: optimize structure per Fable's prompting guidance, clarify legitimate intent to avoid false-positive refusals, and flag mechanical API incompatibilities.
★not rated 22 1mo agoA
tokens not measured
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: