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c-level-skills

Explore c-level-skills as an agent plugin package for ai & machine learning. Review its supported format, bundled components and setup requirements before installing.

alirezarezvani/claude-skills ↗License: MITRuntime safety: UnknownScore: 75/100

What it does

Explore c-level-skills as an agent plugin package for ai & machine learning. Review its supported format, bundled components and setup requirements before installing.

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

claude-code

Publisher manifest for claude-code; runtime behavior not tested

Compatibility source

Installation and requirements

Review the publisher setup, permissions, credentials and service costs before use.

Open the pinned package below and follow its publisher instructions for your agent. A Skills installer is not a universal plugin installer. Review hooks, bundled MCP connections, permissions and configuration before enabling the package.

Detected formats

  • .claude-plugin/plugin.json — c-level-advisor/.claude-plugin/plugin.json

Bundled components

Skills Declared
Yes
Mcp Declared
No
Hooks Declared
No
Skills Present
Yes
Mcp Config Present
No
Hooks Present
No
Apps Declared
No

Presence is a static file/manifest observation. A missing declaration does not prove the component is absent at runtime.

Read publisher setup ↗

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.

  • network-access

Skills found inside this package source

Matched by the same repository and package directory. Presence does not mean the bundle has been installed or tested.

Marketing & SEO87/100

cro advisor

alirezarezvani/claude-skills

Explore cro advisor as a marketing & seo workflow from alirezarezvani/claude-skills. Compare its source, maintenance and review signals before choosing it for your agent.

Community sourceMIT

Repository star change: +47 over 26.7 hours. 2026-11-01

29,086 repo stars1 text flagReview ↗
Productivity & planning87/100

strategic alignment

alirezarezvani/claude-skills

Explore strategic alignment as a productivity & planning workflow from alirezarezvani/claude-skills. Compare its source, maintenance and review signals before choosing it for your agent.

Community sourceMIT

Repository star change: +47 over 26.7 hours. 2026-11-01

29,086 repo stars1 text flagReview ↗
Productivity & planning87/100

company os

alirezarezvani/claude-skills

Explore company os as a productivity & planning workflow from alirezarezvani/claude-skills. Compare its source, maintenance and review signals before choosing it for your agent.

Community sourceMIT

Repository star change: +47 over 26.7 hours. 2026-11-01

29,086 repo stars0 text flagsReview ↗

Related Skills

Category-based discovery suggestions. Review functional overlap; these combinations have not been integration-tested.

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.

First-party sourceApache-2.0Editorial review

Repository star change: +2 over 26.7 hours. 2026-11-01

11,243 repo stars2 text flagsReview ↗
AI & machine learning87/100

transformers js

huggingface/skills

A JavaScript inference reference for model pipelines, WebGPU or WASM execution, quantization and resource management.

First-party sourceApache-2.0Editorial review

Repository star change: +2 over 26.7 hours. 2026-11-01

11,243 repo stars2 text flagsReview ↗
AI & machine learning84/100

runway dev models

runwayml/skills

Integrate an exact Runway model endpoint behind an application server and handle its task lifecycle.

First-party sourceMITEditorial review
74 repo stars2 text flagsReview ↗

Similar tools and alternatives

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.

Manifest metadataApache-2.0
45,633 repo stars1 metadata flagReview ↗
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.

Manifest metadataApache-2.0
45,633 repo stars1 metadata flagReview ↗
AI & machine learning75/100

compliance team eu ai act

alirezarezvani/claude-skills · Plugin

Explore compliance-team-eu-ai-act as an agent plugin package for ai & machine learning. Review its supported format, bundled components and setup requirements before installing.

Manifest metadataMIT
29,099 repo stars1 metadata flagReview ↗

Related MCP Servers

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.

Registry metadataMITEditorial review
64,035 repo stars3 metadata flagsReview ↗
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.

Registry metadataMIT
11 repo stars2 metadata flagsReview ↗
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.

Registry metadataMIT
4 repo stars2 metadata flagsReview ↗

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