# Augment Code vs SkillKit

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. SkillKit records 5,350 monthly visits with +26.9% growth and Free pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [SkillKit](https://openaitools.app/tool/skillkit) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://agenstskills.com |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Agent, AI Developer Tools, AI Code Assistant, AI API |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Free |
| Monthly Visits | 326,215 | 5,350 |
| MoM Growth Rate | +24.1% | +26.9% |
| Primary Market | United States | United States |
| Direct Visits | 137,070 | 2,150 |
| Review Score | 4.5 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Augment Code

Augment Code is an AI coding platform aimed at engineering organisations rather than individual autocomplete users. Its foundation is the Context Engine, which builds a structured understanding of an existing repository — dependencies, architecture, conventions — so that AI suggestions and generated changes fit the codebase instead of reading like generic boilerplate. The product works inside common IDEs and also in the terminal via a CLI.

The platform's recent focus is Cosmos, an agent orchestration layer for the software development lifecycle. Instead of a single assistant answering prompts, Cosmos runs connected loops: a ticket becomes a reviewed pull request, every new PR gets a first-pass code review, failed CI runs get diagnosed, Dependabot and Snyk alerts get triaged into prioritised issues, and on-call engineers inherit a completed investigation. Each loop hands its outcome to the next, and quality gates pause work for human review rather than shipping automatically.

Agents can be deployed in managed cloud sandboxes, on your own machines for code that cannot leave the building, or a mix of both. Native triggers cover GitHub, GitLab, Slack, Linear, Jira, schedules and typed webhooks, with integrations for CI systems. There is a free tier for individuals to try the assistant, while team and enterprise adoption is quote-based; the company has announced it is joining Harness to push the autonomous SDLC from idea to production.

**Pricing & Plans:** Freemium with a free tier for individual developers to start, plus paid team plans and enterprise/contact-for-pricing options. Enterprise deployment includes self-hosted and hybrid agent execution; exact seat and usage pricing is quoted by sales.

- **Context Engine codebase understanding:** Indexes architecture, dependencies and conventions across large repositories so generated code and reviews match how your team actually writes software.
- **Cosmos agent orchestration:** Runs connected SDLC loops — code review, ticket-to-PR, incident triage, dependency upgrades and security remediation — where each agent hands its result to the next.
- **Human-in-the-loop quality gates:** Work pauses at defined checkpoints so engineers approve plans and consequential actions instead of letting agents ship unreviewed changes.
- **Deploy anywhere:** Execute agents in managed cloud sandboxes, on local machines and dev VMs for sensitive code, or in your own AWS and GCP environments.
- **Expert registry and shared memory:** Choose from shipped agents, fork them, or build your own; corrections and shared knowledge improve future runs for the whole team.

**Strengths:** Deep codebase context means suggestions fit existing architecture and conventions; Loops connect across the SDLC instead of solving one isolated task; Quality gates keep humans in control of consequential changes; Flexible deployment including local and self-hosted execution for sensitive code

**Limitations:** Enterprise pricing is quote-based, which makes budgeting harder before a trial; The full value depends on wiring up integrations and triggers across your toolchain; Small teams and solo developers may find the orchestration layer heavier than needed

[Profile (Markdown)](https://openaitools.app/tool/augment-code.md)

## SkillKit

Coding agents such as Claude Code, Cursor, Codex, Windsurf and GitHub Copilot each have their own way of expressing skills, hooks, MCP tools and instructions. That fragmentation means a skill written for one agent usually needs manual rework before another can use it. SkillKit positions itself as the npm of agent skills: you write a skill once and the CLI translates it into the format each supported agent understands.

Beyond installation, SkillKit bundles a wider toolchain. It aggregates 35+ skill sources and exposes a browsable skill tree of hundreds of thousands of skills, with smart recommendations that analyze your codebase. It can generate skills from natural language using multiple LLM providers, auto-generate agent instructions per project with its Primer feature, capture AI learnings across sessions via session memory, and detect prompt injection, leaked secrets and malicious patterns with a rule-based security scanner. There is also a built-in test framework, workflow orchestration for multi-step sequences, CI/CD generation for GitHub Actions and GitLab CI, and REST, MCP and Python interfaces for runtime skill discovery.

SkillKit is free and open source, and the project states it collects no telemetry. For teams it offers a Git-based .skills manifest so every developer has the same capabilities, and for larger setups a mesh network for synchronizing agents across machines. Because it is a CLI-first developer tool, the learning curve centers on commands rather than a graphical dashboard.

**Pricing & Plans:** Free and open source. SkillKit is installed via npx/npm and the project states there is zero telemetry. No paid tiers or per-seat licensing are published.

- **Cross-agent skill translation:** Write a skill once and translate it into the formats used by all 46 supported agents, including hooks, MCP tools and context conventions.
- **400K+ skill marketplace:** Search and browse hundreds of thousands of skills across 35+ aggregated registries and sources, organized into a hierarchical skill tree.
- **AI skill generation and Primer:** Generate skills from plain language using Claude, GPT-4, Gemini, Ollama or OpenRouter, and auto-generate optimized agent instructions from your codebase.
- **Security scanning and testing:** A 46-rule scanner flags prompt injection, secrets and malicious patterns, while a built-in test framework with assertions validates skills before deployment.
- **Team sync, CI/CD and APIs:** Git-based .skills manifests keep teams aligned, generated GitHub Actions and GitLab CI automate management, and REST, MCP and Python clients support runtime discovery.

**Strengths:** Free and open source with no telemetry; Covers a very wide range of agents in one CLI; Bundles security scanning, testing and CI/CD beyond simple installation; Team manifests and REST/MCP APIs support both small teams and platform use

**Limitations:** Command-line first, so there is no polished point-and-click interface; Aggregated community skill sources vary in quality and maintenance; Compatibility across older or niche agents can be partial rather than full

[Profile (Markdown)](https://openaitools.app/tool/skillkit.md)

## Frequently Asked Questions

### How do Augment Code and SkillKit compare in monthly traffic?

Augment Code has 326,215 monthly visits, while SkillKit has 5,350. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Augment Code has a month-over-month growth rate of +24.1%; SkillKit has +26.9%.

### How does pricing compare?

Augment Code: Freemium, Free Trial, Contact for Pricing. Freemium with a free tier for individual developers to start, plus paid team plans and enterprise/contact-for-pricing options. Enterprise deployment includes self-hosted and hybrid agent execution; exact seat and usage pricing is quoted by sales. SkillKit: Free. Free and open source. SkillKit is installed via npx/npm and the project states there is zero telemetry. No paid tiers or per-seat licensing are published.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Streamlines cloud-based full-stack app building and deployment from natural language, but less tailored for large legacy enterprise repos. | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 5 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | Integrates directly into VS Code as a daily coding editor, but lacks enterprise-wide multi-agent SDLC orchestration. | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 6 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 7 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and automated verification from AWS, whereas Augment targets broader multi-agent SDLC automation. | [.md](https://openaitools.app/tool/kiro.md) |
| 8 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer tackling complex tickets independently, whereas Augment focuses on developer-in-the-loop workflows. | [.md](https://openaitools.app/tool/devin.md) |
| 9 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 10 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.md) |

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Source: https://openaitools.app/compare/augment-code-vs-skillkit

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