Skillkit: The npm for AI Agents, but the race is getting crowded

2026-02-07 | Official Site | ProductHunt | GitHub

30-Second Quick Judgment

What is it?: An open-source CLI tool that lets you install, translate, and share "skills" across 30+ AI coding agents like Claude Code, Cursor, and Copilot. In short, it's npm, but instead of JS packages, it manages instruction sets for AI agents.

Is it worth your attention?: If you use multiple AI coding tools and manually maintain separate config files (CLAUDE.md, .cursorrules, etc.), this will save you a lot of hassle. However, it only has 4 votes on PH, and Vercel Skills is currently the top player in the space. As a free, open-source "Swiss Army knife," it's worth keeping an eye on, but there's no need to go all-in just yet.

Three Questions That Matter

Is it relevant to me?

Target User: Developers who use AI coding tools daily, especially those who juggle multiple tools.

Are you the target?

• If you only use Claude Code—you probably don't need it. Just write your CLAUDE.md.
• If you switch between Claude Code and Cursor—skillkit translate could be a lifesaver.
• If you're a team lead with members using different agents—Skillkit's team sync and Mesh features are worth a look.
• If you're a DevOps/Platform engineer—the founder shares your background, so the features are built with you in mind.

Use Cases:

• Sync 15 Claude Code skills to Cursor in one click --> Use this.
• Make the AI remember what it learned in the last session --> Use skillkit memory.
• Quickly set up all AI tools for a new hire --> Use skillkit manifest install.
• You only use one AI tool and are happy with your setup --> You don't need this.

Is it useful to me?

ROI Judgment: If you maintain 5+ skills and use 2+ agents, spending 15 minutes on Skillkit will save you hours of manual work. If you only use one agent, the ROI is near zero.

Is it well-received?

The "Wow" Factors:

• One-Click Translation: skillkit translate turns CLAUDE.md into .cursorrules without you having to touch a line of formatting.
• 15,000+ Skill Marketplace: Don't write from scratch; just install.
• Memory Persistence: Finally, the AI won't have amnesia every time you start a new session.

What users are saying:

"Think of it like npm, but for AI agent skills" -- ProductHunt User "The portability problem is real—if I want the same behavior in Cursor, I'm manually rewriting CLAUDE.md into .cursorrules. The translate command would save a lot of time." -- ProductHunt Comment "Would love to see more integrations" -- ProductHunt User

To be honest, with only 4 votes, there aren't many reviews, but the pain points mentioned are very real.

For Developers

Tech Stack

• Language/Runtime: Node.js / TypeScript
• Installation: npm install -g skillkit or npx skillkit@latest
• API: REST API (localhost:3737) + MCP Server + Python Client
• Protocol: Based on Anthropic's Agent Skills open standard

Core Implementation

Skillkit's core logic is a "format translation engine." Every AI coding agent defines skills differently: Claude Code uses CLAUDE.md + a .claude/skills/ directory, Cursor uses .cursorrules, and Copilot uses .github/copilot-instructions.md. Skillkit maintains a mapping table for 30+ agents and uses the translate command to convert between them.

Memory persistence is another highlight. Using skillkit memory compress, it extracts patterns the AI learned during the current session, stores them using semantic embeddings, and auto-injects them into the next session. This solves the "amnesia" problem when closing a window.

Open Source Status

• Fully Open Source: Apache License 2.0
• GitHub: rohitg00/skillkit
• Similar Projects: Skild.sh, Vercel Agent Skills
• Build Difficulty: Medium. The core translation logic isn't complex, but covering 30+ agent formats requires significant adaptation work. An MVP could be built in 1-2 person-months.

Business Model

• Monetization: None currently. Fully free and open-source.
• Potential Direction: Mesh distribution and team sync features suggest a potential "open-core + enterprise" model.
• User Base: Not disclosed; 4 PH votes suggest it is in the very early stages.

Giant Risk

High risk. Vercel launched Skills.sh on January 18, which quickly gained tens of thousands of installs. Anthropic is the standard-setter for Agent Skills, and OpenAI Codex has its own support. When standard-setters and giant platforms enter the fray, independent projects struggle to compete on ecosystem alone.

However, Skillkit differentiates itself with "cross-platform translation" and "memory persistence," features Vercel Skills currently lacks. If these become essential, Skillkit has a path to survival.

For Product Managers

Pain Point Analysis

• Problem Solved: Skill formats are not interoperable between AI agents, leading to fragmented configurations.
• Severity: Moderate/Nice-to-have. Most developers use 1-2 agents; those using 5+ are a minority. But for that minority, the pain is acute.

User Persona

• Core User: Full-stack developers using Claude Code + Cursor/Copilot where team tools aren't standardized.
• Extended User: DevOps engineers, Tech leads, Open-source contributors.
• Scenarios: Team tool standardization, personal multi-tool sync, skill discovery and reuse.

Feature Breakdown

Competitive Differentiation

Key Takeaways

1. "Translate" rather than "Rewrite": A smart approach to compatibility—don't force a tool change, just build the translation layer.
2. Memory Persistence: Context loss is a major pain point; turning it into a standalone feature is a smart move.
3. 15,000+ Marketplace: Volume attracts exploration, even if quality is inconsistent.

For Tech Bloggers

Founder Story

Rohit Ghumare isn't just a coder. He is a Docker Captain, Google Developer Expert, and CNCF Marketing Chair 2025. He manages a 100k-strong DevOps community and has 9,900+ Substack subscribers. His previous project, Motia, reached 11,500+ stars on GitHub.

He transitioned from ML Engineer to DevOps Advocate and is now diving into AI coding tools. The origin of Skillkit is simple: "My Claude Code skills didn't work in Cursor, my team was using Copilot, and every agent had its own format. Worse, every time I closed a session, the AI forgot everything it learned."

Based in the UK, he is the founder of CreateMVP and DevRelAsService.

Controversy / Discussion Points

• Is the "npm for AI" space a bubble?: Since January 2026, at least 4 projects have claimed to be the "npm for AI agents." Is the space hot or overheating?
• Solo Open Source vs. Vercel: Can a personal project survive when a giant does the same thing?
• The Quality of 15,000 Skills: Quantity doesn't equal quality. The community hasn't yet agreed on a standard for what makes a "good" skill.
• The Agent Skills Standard War: Will Anthropic's standard become the de facto one, or will others branch off?

Hype Metrics

• PH Ranking: 4 votes (Extremely low attention)
• Twitter: Founder @ghumare64 is active, but there is little organic discussion about Skillkit itself.
• Market Heat: Very high. Vercel Skills saw massive adoption immediately; "npm for AI agents" is a 2026 buzzword.

Content Suggestions

• Comparison Piece: A deep dive into the 4 players in the "npm for AI agents" space (Skillkit vs. Vercel Skills vs. Skild vs. Agent Skills CLI).
• The "Underdog" Angle: "Vercel made Skills.sh, but this open-source alternative actually has more features."

For Early Adopters

Pricing Analysis

No paid tiers. Fully open-source under Apache 2.0. Zero hidden costs.

Onboarding Guide

• Setup Time: 10-15 minutes
• Learning Curve: Low (if you know npm, you know Skillkit)
• Steps:
  1. npx skillkit@latest init -- Auto-detects installed agents.
  2. skillkit recommend -- Get recommended skills.
  3. skillkit install anthropics/skills -- Install from GitHub.
  4. skillkit sync -- Sync to all agents.
  5. skillkit translate -- Translate between agent formats.

Pitfalls and Gripes

1. Product is brand new: Documentation might be sparse; you may need to read the source code if you hit a snag.
2. Skill quality varies: 15,000 is a big number, but you'll need to filter through them yourself.
3. Small ecosystem: Bug fixes might not be as fast as corporate-backed tools.
4. Compatibility with Vercel Skills: The two ecosystems are not currently fully interoperable.

Security and Privacy

• Data Storage: Runs entirely locally; no code is sent to the cloud.
• Privacy: Open-source and auditable; you can see exactly what every line of code does.
• Mesh Distribution: Uses encrypted P2P, but as a new feature, evaluate it carefully.

Alternatives

For Investors

Market Analysis

• AI Agents Market Size: $7.84B in 2025, projected to $52.62B by 2030 (CAGR 46.3%).
• Broader Scope: $10.91B in 2026, projected to $182.97B by 2033 (CAGR 49.6%).
• Drivers: Gartner predicts 40% of enterprise apps will include AI Agents by 2026; GitHub Copilot has 15M users.

AI Agent Skills represent the "developer tool layer" of this market. If AI Agents are "Web Apps," then Skills are the "npm ecosystem."

Competitive Landscape

Timing Analysis

• Why now?: Early 2026 saw the explosion of the "npm for AI agents" concept; Vercel's Jan 18 launch was the tipping point.
• Tech Maturity: The Agent Skills standard is adopted by Anthropic, OpenAI, and Vercel; the foundation is ready.
• Market Readiness: High. Developers are already struggling with manual config management.

Team Background

• Founder: Rohit Ghumare, ML Engineer turned DevOps Advocate.
• Credentials: Docker Captain, GDE, CNCF Marketing Chair 2025.
• Influence: 100K+ DevOps community, 9.9K Substack subscribers.
• Track Record: Motia (11.5K GitHub stars), kubectl-mcp-server.
• Team Size: Appears to be a solo or small team project.

Funding Status

• Raised: No public info.
• Investors: None.
• Valuation: N/A.

Investment Judgment: The space is right, but competition is fierce. As a solo open-source project, Skillkit is currently more of a potential acquisition target for its tech than a VC investment. The founder's community influence (100K+) is its biggest intangible asset.

Conclusion

The Bottom Line: Skillkit is the most feature-rich option, but it lacks the brand power of Vercel Skills. If you need cross-agent translation and memory, it's your only choice. For simple skill management, Vercel Skills is the safer bet.

Resource Links

2026-02-09 | Trend-Tracker v7.3