skillport and agent-skills-cli

These are complements: SkillPort provides a unified skill management platform and MCP interface, while agent-skills-cli is a consumer client that syncs skills from SkillsMP into multiple AI coding environments, allowing them to work together in a skill distribution pipeline.

skillport
63
Established
agent-skills-cli
55
Established
Maintenance 10/25
Adoption 17/25
Maturity 22/25
Community 14/25
Maintenance 10/25
Adoption 16/25
Maturity 22/25
Community 7/25
Stars: 338
Forks: 24
Downloads: 1,489
Commits (30d): 0
Language: Python
License: MIT
Stars: 54
Forks: 3
Downloads: 2,772
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
No risk flags

About skillport

gotalab/skillport

Bring Agent Skills to Any AI Agent and Coding Agent — via CLI or MCP. Manage once, serve anywhere.

Provides spec-compliant skill validation and full lifecycle management (install, update, remove) from GitHub or local sources, with programmatic metadata control. Implements a search-first architecture via MCP and CLI modes—metadata loads upfront while full skill instructions load on-demand—reducing context overhead when managing 50+ skills. Targets MCP-compatible clients (Cursor, Copilot, Windsurf, Cline) and agents with shell access, supporting category/tag filtering and per-client skill exposure through environment configuration.

About agent-skills-cli

Karanjot786/agent-skills-cli

Universal CLI for Agent Skills. Access 40,000+ skills from SkillsMP and sync them to Cursor, Claude Code, GitHub Copilot, OpenAI Codex, and Antigravity.

Provides token-aware context budgeting, conflict detection, and quality scoring (0–100) across skills before installation. Syncs deterministically via lockfiles and supports private Git repos, npm registries, and 45+ AI agents through platform-specific config files. Built around a modular skill composition system allowing merging, chaining, and conditional loading with integrated testing and sandbox preview capabilities.

Scores updated daily from GitHub, PyPI, and npm data. How scores work