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QR 코드를 리드 수집 파이프라인으로 전환해 요구사항만 알려주면 코딩 없이 전체 경험을 구축해 줍니다
Turn any QR code into a lead capture pipeline. Describe what you need. We build the entire experience for you. No code.
스킬JavaScriptGitHub @linkbreakers-com온라인운영자 미확인
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개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
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프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Agent skills, AGENTS.md, plugin manifests and discovery index for Linkbreakers: lead capture infrastructure for the physical world.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
The single source of truth for everything Linkbreakers exposes to AI agents: skills, agent instructions, plugin manifests and a machine-readable discovery index.
Linkbreakers is lead capture infrastructure for the physical world. Every QR code or link runs a workflow (forms, conditions, password gates, multi-link pages, contact cards) that turns an anonymous scan into an identified visitor.
Any agent supported by the skills CLI (Claude Code, Cursor, Codex, GitHub Copilot, Windsurf, Gemini, Cline and more):
Bundles the skills and the hosted Linkbreakers MCP servers:README 전문 보기 ↗The single source of truth for everything Linkbreakers exposes to AI agents: skills, agent instructions, plugin manifests and a machine-readable discovery index.
Linkbreakers is lead capture infrastructure for the physical world. Every QR code or link runs a workflow (forms, conditions, password gates, multi-link pages, contact cards) that turns an anonymous scan into an identified visitor.
Any agent supported by the skills CLI (Claude Code, Cursor, Codex, GitHub Copilot, Windsurf, Gemini, Cline and more):
npx skills add linkbreakers-com/agent-skills
Bundles the skills and the hosted Linkbreakers MCP servers:
/plugin marketplace add linkbreakers-com/agent-skills
/plugin install linkbreakers@linkbreakers
This repository is an Agent Plugin: plugin.json, skills/ and mcp.json at the root.
| Skill | Use it to |
|---|---|
| create-tracked-qr-code | Create a link with a dynamic, tracked QR code (or one that opens a PDF, image or video) and change its destination later |
| build-lead-capture-workflow | Add forms, conditions and pages to a link and wire every branch |
| read-visitors-and-leads | List, filter, sort and export captured visitors, events and funnels |
| send-leads-to-webhooks | Push scans and leads to a CRM or backend in real time |
| identify-visitors-on-your-site | Tie a QR scan to a later signup or purchase with the lbid and identify API |
| manage-custom-domains | Serve links from a branded domain and debug its DNS and certificate |
| use-linkbreakers-cli | Install and script the linkbreakers CLI |
| connect-linkbreakers-mcp | Connect an assistant to the Linkbreakers MCP server with OAuth |
| Surface | Where |
|---|---|
| Agent instructions | AGENTS.md |
| Docs index for LLMs | https://linkbreakers.com/llms.txt |
| MCP server (your workspace, OAuth) | https://mcp.linkbreakers.com |
| Docs MCP server (no auth) | https://linkbreakers.com/mcp |
| REST API | https://api.linkbreakers.com, reference at https://linkbreakers.com/help/api |
| OpenAPI spec | https://api.linkbreakers.com/internal/openapi/api/v1/api.swagger.json |
| CLI | brew install linkbreakers-com/tap/linkbreakers (tap: https://github.com/linkbreakers-com/homebrew-tap), docs at https://linkbreakers.com/cli |
| SDKs | TypeScript (npm i linkbreakers), Python (pip install linkbreakers), Go, Java, Rust: https://linkbreakers.com/help/article/linkbreakers-developer-ecosystem-overview |
discovery.json is the machine-readable index of all of the above, validated by schema/discovery.schema.json. linkbreakers.com reads it at runtime from:
https://raw.githubusercontent.com/linkbreakers-com/agent-skills/main/discovery.json
Its skills[] array is generated from the skills/ folders:
node scripts/build-discovery.mjs # regenerate
node scripts/build-discovery.mjs --check # what CI runs
Add a folder under skills/ with a SKILL.md whose frontmatter has name (same as the folder) and description, regenerate discovery.json, and open a pull request. Ground every step in the real API: check the OpenAPI spec rather than guessing.