---
title: "agentic-awesome-skills vs code-mode"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/sickn33-antigravity-awesome-skills-vs-universal-tool-calling-protocol-code-mode"
tools: ["sickn33-antigravity-awesome-skills", "universal-tool-calling-protocol-code-mode"]
---

# agentic-awesome-skills vs code-mode

*GraphCanon updated Aug 19, 2026*

## Verdict

Pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains; pick code-mode if code-mode is a TypeScript library designed to enable AI agents to interact with MCP and UTCP tools through code execution.

[agentic-awesome-skills](https://sickn33.github.io/agentic-awesome-skills/) reports 45k GitHub stars, 6.6k forks, and 12 open issues, last pushed Aug 19, 2026. [code-mode](https://github.com/universal-tool-calling-protocol/code-mode) has 1.5k stars, 98 forks, and 3 open issues, last pushed Jun 18, 2026. Figures are from public GitHub metadata via [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills) and [code-mode's repository](https://github.com/universal-tool-calling-protocol/code-mode).

| | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | [code-mode](/tools/universal-tool-calling-protocol-code-mode.md) |
| --- | --- | --- |
| Tagline | Library of agentic skills for various AI agents | Plug-and-play library enabling agents to call MCP and UTCP tools via code execution |
| Stars | 45,139 | 1,519 |
| Forks | 6,610 | 98 |
| Open issues | 12 | 3 |
| Language | Python | TypeScript |
| Adopt for | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | Code-mode is a TypeScript library designed to enable AI agents to interact with MCP and UTCP tools through code execution. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | The MPL-2.0 license applies to Code-mode, offering flexibility while requiring that any changes made to the code are accessible under similar licensing terms. |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | [code-mode](/tools/universal-tool-calling-protocol-code-mode.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Steady (60%) |
| Days since push | 0d | 38d |
| Open issues (now) | 12 | 3 |
| Stars delta | +1.5k (30d) | Unknown |
| Open issues delta | +11 (30d) | Unknown |
| Owner type | User | Organization |
| Full report | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | [trust report](/tools/universal-tool-calling-protocol-code-mode/trust.md) |

## Shared compatibility

- **Node.js**: [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) - Node.js runtime; [code-mode](/tools/universal-tool-calling-protocol-code-mode.md) - Node.js runtime

## Decision facts: agentic-awesome-skills

- **Pricing:** freemium - The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.
- **Requirements:** Min 2 GB RAM
- **Adopt for:** Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.

## Decision facts: code-mode

- **Pricing:** freemium - Code-mode is free and open-source under the MPL-2.0 license. Potential premium features or support may be offered by contributors.
- **Requirements:** A TypeScript runtime environment is necessary to use Code-mode.; Compatibility with current AI agents and tools that follow the MCP and UTCP protocols may be required.
- **Adopt for:** Code-mode is a TypeScript library designed to enable AI agents to interact with MCP and UTCP tools through code execution.
- **License detail:** The MPL-2.0 license applies to Code-mode, offering flexibility while requiring that any changes made to the code are accessible under similar licensing terms.

## Choose when

### Choose agentic-awesome-skills if…

- agentic-awesome-skills is primarily Python; code-mode is TypeScript.
- License: agentic-awesome-skills is MIT, code-mode is MPL-2.0.
- Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills..
- Requirements: Min 2 GB RAM.
- Tags unique to agentic-awesome-skills: agent-skills, developer-tools.
- - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.

### Choose code-mode if…

- code-mode is primarily TypeScript; agentic-awesome-skills is Python.
- License: code-mode is MPL-2.0, agentic-awesome-skills is MIT.
- Pricing: Code-mode is free and open-source under the MPL-2.0 license. Potential premium features or support may be offered by contributors..
- Requirements: A TypeScript runtime environment is necessary to use Code-mode.; Compatibility with current AI agents and tools that follow the MCP and UTCP protocols may be required..
- Tags unique to code-mode: codemode, mcp, model-context-protocol, toolchain.
- Use Code-mode when you need seamless integration between AI agents and specific tool protocols like MCP and UTCP via code-based interactions.

## When NOT to use agentic-awesome-skills

- - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services.
- - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.

## When NOT to use code-mode

- Avoid Code-mode if your project does not require interaction with MCP or UTCP tools as integration may offer less value.
- Do not use Code-mode if another programming language is required for your project, as it exclusively supports TypeScript.

## Common questions

### What is the difference between agentic-awesome-skills and code-mode?

agentic-awesome-skills: Library of agentic skills for various AI agents. code-mode: Plug-and-play library enabling agents to call MCP and UTCP tools via code execution. See the comparison table for live GitHub stats and shared categories.

### When should I choose agentic-awesome-skills over code-mode?

Choose agentic-awesome-skills over code-mode when agentic-awesome-skills is primarily Python; code-mode is TypeScript; License: agentic-awesome-skills is MIT, code-mode is MPL-2.0; Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; Tags unique to agentic-awesome-skills: agent-skills, developer-tools; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.

### When should I choose code-mode over agentic-awesome-skills?

Choose code-mode over agentic-awesome-skills when code-mode is primarily TypeScript; agentic-awesome-skills is Python; License: code-mode is MPL-2.0, agentic-awesome-skills is MIT; Pricing: Code-mode is free and open-source under the MPL-2.0 license. Potential premium features or support may be offered by contributors.; Requirements: A TypeScript runtime environment is necessary to use Code-mode.; Compatibility with current AI agents and tools that follow the MCP and UTCP protocols may be required.; Tags unique to code-mode: codemode, mcp, model-context-protocol, toolchain; Use Code-mode when you need seamless integration between AI agents and specific tool protocols like MCP and UTCP via code-based interactions.

### When should I avoid agentic-awesome-skills?

- If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.

### When should I avoid code-mode?

Avoid Code-mode if your project does not require interaction with MCP or UTCP tools as integration may offer less value. Do not use Code-mode if another programming language is required for your project, as it exclusively supports TypeScript.

### Is agentic-awesome-skills or code-mode more popular on GitHub?

agentic-awesome-skills has more GitHub stars (45,139 vs 1,519). Stars measure visibility, not whether either tool fits your constraints.

### Are agentic-awesome-skills and code-mode open source?

Yes - both are open-source projects on GitHub (agentic-awesome-skills: MIT, code-mode: MPL-2.0).

### Where can I find alternatives to agentic-awesome-skills or code-mode?

GraphCanon lists graph-backed alternatives at [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) and [code-mode alternatives](/tools/universal-tool-calling-protocol-code-mode/alternatives) ([agentic-awesome-skills markdown twin](/tools/sickn33-antigravity-awesome-skills/alternatives.md), [code-mode markdown twin](/tools/universal-tool-calling-protocol-code-mode/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/sickn33-antigravity-awesome-skills-vs-universal-tool-calling-protocol-code-mode.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agentic-awesome-skills or code-mode?

agentic-awesome-skills: Very active. code-mode: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for agentic-awesome-skills and code-mode?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust); [code-mode trust report](/tools/universal-tool-calling-protocol-code-mode/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=sickn33-antigravity-awesome-skills`](/api/graphcanon/graph?tool=sickn33-antigravity-awesome-skills)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
