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GitHub - Z-Bra0/Ski: Install AI agent skills from Git into Claude, Codex, Cursor, and OpenClaw with a manifest, lockfile, and shared store · GitHub — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
atlasengine.dev ↗	69 match 2 shared topics	Atlas - Local-first AI code reviewer for Claude Code, Codex, Cursor	en	artificial-intelligence	robots llmsaihumans	emailphone	none
skillmarketplace.ai ↗	68 match 2 shared topics	AI Agent Skill Market \| Claude, Codex & ChatGPT — skillmarketplace.ai	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
skillta.com ↗	68 match 2 shared topics	Skillta \| AI Skills Marketplace - Claude Skills, OpenClaw, GitHub Copilot and more	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
skilluse.dev ↗	68 match 2 shared topics	SkillUse — Manage AI Agent Skills with Ease - SkillUse	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
skillshubco.com ↗	68 match 2 shared topics	skillshub - Homebrew for AI Agent Skills \| skillshub	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
neoclaw.ai ↗	68 match 2 shared topics	GitHub - neoclaw-ai/neoclaw: An easy to install, fast, secure AI agent. · GitHub	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
skillurl.com ↗	68 match 2 shared topics	SkillURL - Share installable agent skills with one URL	en	software-and-applications	robotsllmsaihumans	emailphone	none
1clickopenclaw.com ↗	67 match 2 shared topics	OpenClaw One Click — Powerful Personal AI Agent With One Click	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
nekopal.com ↗	67 match 2 shared topics	DynoClaw — The Skills Marketplace for OpenClaw	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
skillstorr.com ↗	66 match 2 shared topics	SkillStorr - Draft, version, and share AI specs	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
proxvanta.com ↗	66 match 2 shared topics	AI Contexts, Guardrails, Connections, Workflows for ChatGPT, Codex, Claude \| Oi	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
provena.dev ↗	66 match 2 shared topics	Provena - Shared Context for Teams and AI Agents	en	software-and-applications	robotsllmsaihumans	emailphone	none
ctxovrflw.dev ↗	66 match 2 shared topics	ctxovrflw — Shared Agent Memory & Local Vector Database for AI Coding Tools	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
lobstron.com ↗	65 match 2 shared topics	LOBSTRON — Hire an AI Agent Workforce \| No-Code OpenClaw Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
doriku.io ↗	65 match 2 shared topics	Doriku — Shared Memory for Every AI Agent You Use	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
skillslap.com ↗	65 match 2 shared topics	SkillSlap — The Slap Stack for AI agent skills	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
donelyapp.com ↗	65 match 2 shared topics	Donely - Multi-Instance OpenClaw Management Platform	en	software-and-applications	robots llmsaihumans	emailphone	none
donelyai.com ↗	65 match 2 shared topics	Donely - Multi-Instance OpenClaw Management Platform	en	software-and-applications	robots llmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.