# HumanLayer vs SkillKit

HumanLayer records 63,865 monthly visits with -33.4% month-over-month growth and Freemium pricing. SkillKit records 5,350 monthly visits with +26.9% growth and Free pricing.

| Metric | [HumanLayer](https://openaitools.app/tool/humanlayer) | [SkillKit](https://openaitools.app/tool/skillkit) |
| :--- | :--- | :--- |
| Website URL | https://humanlayer.dev | https://agenstskills.com |
| Categories | AI Agent, AI API, AI Developer Tools, AI Workflow | AI Agent, AI Developer Tools, AI Code Assistant, AI API |
| Pricing Model | Freemium | Free |
| Monthly Visits | 63,865 | 5,350 |
| MoM Growth Rate | -33.4% | +26.9% |
| Primary Market | United States | United States |
| Direct Visits | 20,485 | 2,150 |
| Review Score | 4.5 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## HumanLayer

HumanLayer turned its human-in-the-loop roots into a full multiplayer coding agent IDE and cloud platform. Teams create Tasks that bundle agent sessions, artifacts such as research notes and design docs, and the code diffs agents produce, all in one workspace synchronised through the HumanLayer API. A local daemon runs many sessions in parallel on your machine, while cloud daemons keep long-running work going even after you close your laptop.

The product's signature workflow is QRSPI (Questions, Research, Design, Structure, Plan, Implement), a six-phase process that forces agents to surface their assumptions before any code is written. Design documents become the interface to the work: humans and agents leave inline comments, resolve them, and the resulting decisions feed straight back into the implementation, so mistakes are caught before thousand-line diffs land.

HumanLayer is deliberately composable. You can bring your own compute, development environment, and agent harness (it is widely used alongside Claude Code), or run the whole HumanLayer stack on your workstation or remote workers. Multiple daemons sync through the same API, giving you identical UI on web, desktop, and mobile.

**Pricing & Plans:** Freemium with a free trial and paid team tiers; the CLI is installable via Homebrew and the core workflow can be tried before committing to a plan.

- **Multiplayer Tasks:** Bundle agent sessions, artifacts, and worktrees into a shared Task that your whole team can open, comment on, and collaborate around.
- **QRSPI structured workflow:** Six phases from clarifying Questions through Research, Design, Structure, and Plan to Implement, each with checkpoints your team can verify before more code is generated.
- **Comment-driven design review:** Inline comments on versioned design docs let humans and agents negotiate the approach in real time, catching architectural mistakes before implementation.
- **Local and cloud daemons:** A local daemon runs many sessions in parallel on your laptop, while cloud daemons handle long-running background work that survives closing your machine.
- **Full session visibility:** Drill into every thinking message, subagent tool call, and code change from a single UI that stays consistent across web, desktop, and mobile.

**Strengths:** Structured QRSPI workflow keeps engineers in control instead of outsourcing thinking to agents; Design docs and comments feed directly back into agent context, so decisions actually reach the code; Runs locally or in the cloud with consistent UI across web, desktop, and phone; Composable by design: bring your own model harness, compute, and dev environment

**Limitations:** Geared toward engineering teams with substantial agent workloads, so solo casual users may find it heavy; The structured multi-phase workflow has a learning curve compared with ad-hoc prompting; Advanced cloud orchestration capabilities are most useful once you have a team collaborating on the same repo

[Profile (Markdown)](https://openaitools.app/tool/humanlayer.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 HumanLayer and SkillKit compare in monthly traffic?

HumanLayer has 63,865 monthly visits, while SkillKit has 5,350. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

HumanLayer has a month-over-month growth rate of -33.4%; SkillKit has +26.9%.

### How does pricing compare?

HumanLayer: Freemium. Freemium with a free trial and paid team tiers; the CLI is installable via Homebrew and the core workflow can be tried before committing to a plan. 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 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [T3 Code](https://openaitools.app/tool/t3-code) | 1,071,866 | +52.5% | Free | Open-source control plane for orchestrating coding agents | [.md](https://openaitools.app/tool/t3-code.md) |
| 7 | [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) |
| 8 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.md) |
| 9 | [Multica](https://openaitools.app/tool/multica) | 449,583 | -1.2% | Free Trial | Project management that turns coding agents into real teammates | [.md](https://openaitools.app/tool/multica.md) |
| 10 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) |

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Source: https://openaitools.app/compare/humanlayer-vs-skillkit

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