AI & machine learning87/100
huggingface local models
huggingface/skills
A workflow for selecting GGUF model files and running or serving them locally with llama.cpp.
Repository star change: +2 over 26.7 hours. 2026-11-01
Silk
Explore Silk as an MCP connection for ai & machine learning. Compare the declared transport, package requirements and source evidence before connecting an agent.
What it does
Explore Silk as an MCP connection for ai & machine learning. Compare the declared transport, package requirements and source evidence before connecting an agent.
Best for
A user who can review the publisher setup and validate this capability on a small, reversible task. This is a metadata listing; a detailed use-case review is not yet available.
Compatibility
codex, claude-code, cursor, gemini-cli, windsurf, cline, opencode
Repository setup documentation; protocol compatibility is not a runtime test
Installation and requirements
Review the publisher setup, permissions, credentials and service costs before use.
Use your agent’s MCP settings and the publisher’s exact setup. Match the declared transport and package version. Credentials belong in your client’s supported secret storage. No command on this page is run by AI Craft Pad.
mcpb package
https://github.com/21J3phy/silk/releases/download/v2.3.0/silk-2.3.0.mcpb · version Unknown · stdio · runtime Unknown
Unknown; source software and connected services may have separate terms.
Safety and permissions
Unknown — no runtime security assessment.
Only sanitized manifest/registry metadata and bounded documentation are inspected. Package code, transitive dependencies, hooks and remote services have not been audited. Review access before use.
- shell-or-package-install
Related Skills
Category-based discovery suggestions. Review functional overlap; these combinations have not been integration-tested.
AI & machine learning87/100
transformers js
huggingface/skills
A JavaScript inference reference for model pipelines, WebGPU or WASM execution, quantization and resource management.
Repository star change: +2 over 26.7 hours. 2026-11-01
AI & machine learning84/100
runway dev models
runwayml/skills
Integrate an exact Runway model endpoint behind an application server and handle its task lifecycle.
Related Plugins
Category-based discovery suggestions. Review functional overlap; these combinations have not been integration-tested.
AI & machine learning75/100
learning output style
anthropics/claude-plugins-official · Plugin
Explore learning-output-style as an agent plugin package for ai & machine learning. Review its supported format, bundled components and setup requirements before installing.
AI & machine learning75/100
ralph loop
anthropics/claude-plugins-official · Plugin
Explore ralph-loop as an agent plugin package for ai & machine learning. Review its supported format, bundled components and setup requirements before installing.
AI & machine learning75/100
c level skills
alirezarezvani/claude-skills · Plugin
Explore c-level-skills as an agent plugin package for ai & machine learning. Review its supported format, bundled components and setup requirements before installing.
Similar tools and alternatives
Category-based discovery suggestions. Review functional overlap; these combinations have not been integration-tested.
AI & machine learning75/100
Context7
upstash/context7 · MCP server
An MCP documentation service with declared remote and local package options, suited to questions tied to a specific library and version.
AI & machine learning72/100
Klarion
0x1Adi/Klarion · MCP server
Explore Klarion as an MCP connection for ai & machine learning. Compare the declared transport, package requirements and source evidence before connecting an agent.
AI & machine learning72/100
AI Proof of Us
0xddneto/AI-Proof-of-Us · MCP server
Explore AI Proof of Us as an MCP connection for ai & machine learning. Compare the declared transport, package requirements and source evidence before connecting an agent.
Works well with
Choose a complementary capability only after checking for duplicated permissions and bundled connections. Agent Stacks explain the roles and validation steps; they are proposals, not tested integrations.
Build a stack for your task · Related AI guides · Report a correction