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Download README.md from Gingiris/gr-backlinks: direct link, hf CLI and curl.
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- Download file 1.3 kB
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https://huggingface.co/datasets/Gingiris/gr-backlinks/resolve/main/README.md
- Command line
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hf download hf://datasets/Gingiris/gr-backlinks/README.md
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curl -L -o README.md https://huggingface.co/datasets/Gingiris/gr-backlinks/resolve/main/README.md
1.3 kB
| viewer: false | |
| license: mit | |
| language: | |
| - en | |
| - zh | |
| tags: | |
| - agent-skills | |
| - gingiris | |
| # gr-backlinks | |
| Systematic backlink building for indie founders. Covers 5 channel types ranked by GEO + SEO ROI: Wikipedia (entities), authoritative media (PR), industry reviews (G2/Capterra/Product Hunt), Reddit/Quora discussions, and HARO/Featured.com expert quotes. Designed for 0→1 sites where domain authority is the bottleneck. Aligns with 2026 Google/Bing GEO guidance: backlinks are the strongest brand-authority signal AI search engines use to decide citations. Defaults to dev/B2B link sources; for 2C products (education, consumer apps) authority links differ — see gingiris-seo-geo/references/2c-adaptation.md. | |
| ```bash | |
| npx skills add Gingiris-1031/gingiris-skills --skill gr-backlinks | |
| ``` | |
| <!-- discovery-links:start --> | |
| ## Workflow guide and maintained source | |
| [Task examples and installation guide](https://tools.gingiris.com/skills/#package-gr-backlinks) · [Maintained SKILL.md](https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gr-backlinks) | |
| This repository distributes agent instructions, not a training dataset. The dataset viewer is disabled. Follow the prerequisites in SKILL.md; directory availability does not guarantee runtime execution. | |
| <!-- discovery-links:end --> | |