搜索文档、Skill 和 MCP
Backlink profile for any domain — referring domains, authority, anchors, new/lost links, and a side-by-side vs a competitor. Use when asked "check my backlinks", "backlink profile of X", "who links to them", or "link gap vs competitor".
把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性，你确认后才安装。
读取 https://funcoding.ai/skills/ryze-ai-adgent/open-seo-mcp-skills/backlink-check/install.md ，按里面的步骤帮我安装这个 Skill。
The free Ryze MCP connector (https://connector.get-ryze.ai/mcp). Claude Code: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp. claude.ai / Desktop / Cursor: add it as a custom connector with the same URL. Setup: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
native__get_provider_docs, provider dataforseo, for exact request shapes): summary for the profile, referring_domains for the domain list, anchors for anchor distribution. If DataForSEO backlinks aren't exposed, fall back to a connected ahrefs or semrush provider; if neither, stop and say which connection is missing — never fabricate link counts.google_analytics__runRawReport — referral sessions by source; note which linking domains actually send visitors.Verdict first (profile strength in one paragraph, and the gap vs the competitor if asked), then: profile summary table, top referring domains, anchor distribution, and — when a competitor was given — the link-gap outreach list (domain, authority, page linking to competitor). All third-party numbers labeled as index estimates.
ComposioHQ/awesome-claude-skills77kIdentifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
科研
K-Dense-AI/scientific-agent-skills48kRuns reproducible CellProfiler microscopy pipelines for nuclear segmentation, cell counts, and per-object fluorescence measurements. Supports image/channel manifests, headless batch execution, segmentation overlays, and measurement QC for 2D fluorescence assays.
科研
K-Dense-AI/scientific-agent-skills48kAnalyzes user-requested Screenpipe history windows to detect repeated research workflows, match existing scientific skills, and stage new skill drafts or composition recipes for review. Requires a reachable Screenpipe HTTP API, normally on localhost:3030. Detection and embedding inference run locally; the selected LLM receives redacted app/title cluster summaries and matched skill descriptions. Use only when the user explicitly asks to analyze their recent work and propose skills.
科研
K-Dense-AI/scientific-agent-skills48kApplies Arbor Hypothesis Tree Refinement to research artifacts with repeatable evaluators, including model training, agent harnesses, data synthesis and benchmark optimization. Uses persistent hypotheses, isolated experiments, evidence propagation and held-out candidate comparison for multi-experiment research runs. Includes a standard-library state manager and guidance for the RUC-NLPIR Arbor CLI.
科研
K-Dense-AI/scientific-agent-skills48kRuns Cantera homogeneous chemical reactors and evaluates ignition delay with mechanism provenance, conservation checks, and numerical refinement. Use for combustion kinetics, closed adiabatic ideal-gas constant-volume or constant-pressure ignition, temperature histories, or mechanism-specific ignition-delay comparisons.
科研
K-Dense-AI/scientific-agent-skills48kSearches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance. Use for literature reviews, evidence synthesis, and finding experimental details beyond abstracts.
科研