# Labelbox vs Skillry

Labelbox records 762,803 monthly visits with -22.8% month-over-month growth and Contact for Pricing pricing. Skillry records 535,817 monthly visits with +1,762.1% growth and Freemium pricing.

| Metric | [Labelbox](https://openaitools.app/tool/labelbox) | [Skillry](https://openaitools.app/tool/skillry) |
| :--- | :--- | :--- |
| Website URL | https://labelbox.com | https://skillry.dev |
| Categories | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools | AI Code Assistant, AI Design Assistant, AI Website Builder, AI Presentation Generator |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 762,803 | 535,817 |
| MoM Growth Rate | -22.8% | +1,762.1% |
| Primary Market | United States | United States |
| Direct Visits | 370,024 | 242,881 |
| Review Score | 4.4 | 4.5 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Labelbox

Labelbox occupies an unusual position in the AI stack: it does not primarily sell a chatbot or a generator, it builds the environments and data that models learn from plus the agents that take over recurring engineering and research work. The homepage claim is direct — frontier AI labs train on Labelbox environments and expert data, while engineering and research teams hand their recurring backlog to agents running on Recursion. A recent Series E of more than $100 million signals a heavily funded bet on that thesis.,For enterprises, the newer half of the product is Recursion. Agents are triggered by real signals — a failing build, a PagerDuty alert, a new dependency release, a fresh model checkpoint, or a Monday morning schedule — and then work in the background until the job is done. The examples the company promotes are concrete deliverables rather than summaries: a tested pull request with a preview link, a postmortem draft in Confluence with every event sourced, an ablation table naming the changes that mattered, or a patch for each exposed service after a critical CVE. A grader agent scores each run, and the graded session leaves behind memories, notes and skills that the next session reads before it acts.,The original foundation remains the data business: labeling, annotation, curation and model evaluation supported by expert human reviewers, used for computer vision, NLP, supervised fine-tuning, RLHF and red teaming. In practice the two halves reinforce each other, since the environments that produce high-quality training data are the same environments where agents learn to do real work. Pricing is enterprise-style, routed through sales conversations and shaped by data volume and agent usage, with no public self-serve tier.

**Pricing & Plans:** Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

- **Data labeling and expert annotation:** Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
- **Autonomous agent sessions:** Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
- **Domain specialists by function:** Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
- **Graded outcomes that compound:** Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
- **Native tool and data integrations:** Agents operate against the tools teams already use, including GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery, Databricks, Vercel and cloud providers.

**Strengths:** Covers both sides of the problem: training and eval data production plus agents that act on recurring work; Backed by a recent $100M+ Series E and adoption by frontier AI labs, indicating real funding and demand; Agent runs produce concrete deliverables with proof — tests, reruns, ablations — rather than unverified suggestions; Integrates with the toolchain teams already run: GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery and Databricks

**Limitations:** No self-serve pricing or open signup: everything routes through a sales conversation, which slows down evaluation; The platform assumes real engineering and research infrastructure (GitHub, cloud providers, data warehouses) to deliver value; Positioning has shifted quickly toward autonomous agent sessions, so teams wanting only labeling workflows may find it heavier than needed

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

## Skillry

Skillry is a curated library of Agent Skills — reusable packages of instructions, templates and scripts that AI coding agents can install and run. The concept is straightforward: give an agent a well-designed workflow, and it can produce a complete, presentable artifact rather than a rough draft. Skillry focuses on deliverables you would actually show, spanning web pages and landing pages, slide decks, images such as OG graphics, and short videos.

The key differentiator is that Skillry designs the output first. Its team art-directs a finished piece — a page, a deck, a film — then writes the original instructions, templates and scripts that let your agent reproduce that style. Each Skill page displays a real result it made, so you can see the visual point of view before installing. Skills are maintained by the same team as agents and models evolve.

Installation is agent-first. You can browse the catalog on the web, connect via MCP so your agent can search and inspect Skills, or install from the CLI. Free Skills require only a sign-in, while Premium Skills come with a Pro subscription or a one-time lifetime purchase. Model, API and rendering costs are handled by your own environment, not by Skillry.

**Pricing & Plans:** Free Skills are available with a sign-in. Pro is $9.99/month (regularly $19.90) or $79/year (regularly $158), and a Founding Lifetime plan costs $169 one-time. All paid plans include Premium Skills, MCP/CLI/web install and ongoing updates; model and rendering costs are extra.

- **Original in-house Skills:** Every Skill is designed, written and tested by the Skillry team, with templates and scripts built from a finished piece of work.
- **Multiple output types:** Skills cover web pages, slide decks, images, video and reports, so your agent can produce a range of assets.
- **Broad agent support:** Install and run Skills inside Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI and more.
- **Preview before install:** Each Skill page shows a real result it generated, so you can judge the visual style before adding it.
- **Flexible installation:** Add Skills from the web, through an MCP connection or from your CLI, with browser-based authorization.

**Strengths:** Original Skills designed and maintained in-house; Covers websites, slides, images and video in one library; Works across Claude Code, Codex, Cursor and many other agents; Each Skill previews a real result before you install

**Limitations:** Full access to Premium Skills requires a paid plan; Model, API and rendering costs are separate from the subscription; The catalog is newest to market, so coverage keeps evolving

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

## Frequently Asked Questions

### How do Labelbox and Skillry compare in monthly traffic?

Labelbox has 762,803 monthly visits, while Skillry has 535,817. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Labelbox has a month-over-month growth rate of -22.8%; Skillry has +1,762.1%.

### How does pricing compare?

Labelbox: Contact for Pricing. Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases. Skillry: Freemium. Free Skills are available with a sign-in. Pro is $9.99/month (regularly $19.90) or $79/year (regularly $158), and a Founding Lifetime plan costs $169 one-time. All paid plans include Premium Skills, MCP/CLI/web install and ongoing updates; model and rendering costs are extra.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration. | [.md](https://openaitools.app/tool/roboflow.md) |
| 2 | [MotionSites](https://openaitools.app/tool/motionsites) | 1,088,363 | -8.7% | Freemium, Paid | Supplies landing page design inspiration and prompts, focusing more on visual website layouts than code-ready agent skills. | [.md](https://openaitools.app/tool/motionsites.md) |
| 3 | [Impeccable](https://openaitools.app/tool/impeccable) | 1,038,637 | +8.2% | Free | Installs directly as a design skill pack to enforce UI rules, whereas Skillry acts as a broader discovery library. | [.md](https://openaitools.app/tool/impeccable.md) |
| 4 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Relies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox. | [.md](https://openaitools.app/tool/appen-com.md) |
| 5 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox. | [.md](https://openaitools.app/tool/scale.md) |
| 6 | [SkillsMP — Agent Skills Marketplace](https://openaitools.app/tool/agent-skills-marketplace) | 470,744 | -3.7% | Free | Broader community catalog of open-source agent SKILL.md files, but less focused specifically on design system templates. | [.md](https://openaitools.app/tool/agent-skills-marketplace.md) |
| 7 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 8 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 9 | [AGENTS.md](https://openaitools.app/tool/agents-md) | 245,457 | +5.7% | Free | Offers an open Markdown convention to guide AI coding assistants, but functions as a standard format rather than a curated library. | [.md](https://openaitools.app/tool/agents-md.md) |
| 10 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling. | [.md](https://openaitools.app/tool/encord-com.md) |

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Source: https://openaitools.app/compare/labelbox-vs-skillry

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