Skillkit

Hey Product Hunt! 👋

I'm Rohit, the maker of SkillKit.

The problem I kept running into: My skills for Claude Code were useless in Cursor. My team was on Copilot. Each agent has its own format. Worse: every time I close a session, my AI forgets everything it learned.

So I built SkillKit - a universal platform for AI coding agents that goes way beyond skill management.

npx skillkit@latest

What makes it different from "skill installers":

🔄 Cross-Agent Translation (32 agents)

skillkit translate my-skill --from claude --to cursor,codex,copilot

One command. Write once, use in Claude Code, Cursor, Codex, Windsurf, Copilot, Gemini CLI, and 26 more.

🧠 Session Memory That Persists

Your AI agents learn patterns, but that knowledge dies every session. SkillKit captures learnings with semantic embeddings and makes them persistent:

skillkit memory compress    # Extract patterns from sessions

skillkit memory search "auth patterns"  # Recall past learnings

skillkit memory export      # Turn learnings into shareable skills

🤖 Multi-Agent Team Orchestration

Spawn teams of AI agents with leader/teammate hierarchies, task assignment, plan approval workflows, and code review stages:

skillkit team init

skillkit message send       # Inter-agent messaging

skillkit workflow run       # Orchestrate multi-step tasks

🌐 Mesh Network for Distributed Teams

Your agents can communicate across machines with E2E encrypted P2P:

- Ed25519 cryptography & XChaCha20-Poly1305 encryption

- UDP multicast LAN discovery

- Trust management with fingerprint verification

🎯 AI-Powered Recommendations

skillkit recommend --explain
# > 92% match: vercel-react-best-practices (Next.js detected)
# > 87% match: tailwind-v4-patterns (Tailwind 4 in package.json)

📚 Built-in Methodology Packs

TDD, Design-First, Root Cause Analysis, Structured Review - battle-tested development methodologies baked in.

More Features:

- 🧪 Skill Testing Framework with assertions

- 🔧 Auto-generate CI/CD configs (GitHub Actions, GitLab CI)

- 🌳 Hierarchical skill taxonomy with tree navigation

- 📡 Self-host your skills (RFC 8615 well-known URIs)

- 🔌 Plugin system for extensions

- 📊 Quality scoring and security audits

This is for you if:

- You switch between AI coding agents

- Your team uses different tools

- You want your AI to actually remember and learn

- You're building multi-agent workflows

- You want enterprise-grade skill management

Fully open source.

Website: agenstskills.com | Docs: agenstskills.com/docs

Package manager for AI skills is brilliant! I'm working with Claude Code and the problem of 'teaching' it project-specific patterns is real. Does Skillkit let me create custom skills like 'how we structure Phoenix LiveView components' and have the agent remember across sessions? The cross-platform support (Claude, Cursor, etc.) is the killer feature - skills shouldn't be tool-locked. How does versioning work? Congrats on open sourcing this!

Really cool to see this direction. The portability issue between Claude Code, Cursor, Copilot, etc. is something I’ve run into as well — each agent having its own “skill dialect” makes it hard to build consistent workflows.

I’m working on a different layer of the stack (Iceberg Framework), where the focus is on deterministic execution and validation for LLM‑powered systems. What you’re doing with Skillkit around persistent skills and cross‑agent translation actually complements that nicely — one solves the portability problem, the other solves the reliability/consistency problem.

Love seeing more tooling appear in this space. The ecosystem really needs it.

I maintain about 15 Claude Code skills for my daily workflow and the portability problem is real. Right now if I want the same behavior in Cursor I'm manually rewriting CLAUDE.md into .cursorrules. The translate command would save me a lot of time.

Curious about the memory feature -- how does it handle conflicting patterns across projects? Like if I have one repo that uses snake_case and another that uses camelCase, does it scope learnings per-project or is it global?

The concept of a package manager for AI skills is brilliant. As a dev, I’m curious—how does it handle dependency versioning for different LLM models? Great work on making it Open Source!

Same boat as kxbnb - been manually converting CLAUDE.md to .cursorrules whenever switching tools. The translate command alone is worth it. Also curious about the mesh network for multi-agent setups, sounds like it could be interesting for coordinating different specialized agents.