Bilibili content planning requires relevant samples and clear evidence boundaries. This skill uses SocialDataX search results to organize titles, engagement signals, and reusable topic ideas.

Bilibili comment threads can make recurring questions and audience concerns difficult to identify. This skill guides comment retrieval and organizes visible feedback into evidence-based findings.

Automatic context retrieval can miss related knowledge stored across vault documents. Recall guides deeper Context Nest searches and graph queries to produce answers with source citations.

Poor backlink sources can waste outreach time and create link-spam risks. This skill guides evidence-based research, source vetting, and ongoing verification through the backlink-guard CLI.

Research collections can contain missing metadata and unclear evidence. This skill guides source review and authorized saving in Citation while distinguishing verified details from unknowns.

Saved references need consistent formatting and clear metadata checks before use. This skill guides Citation MCP or CLI workflows to format sources, report gaps, and export bibliographies.

Saved citations can contain broken links, incomplete metadata, or sources that do not support the surrounding claims. This skill guides Citation reviews that separate saved data issues from evidence judgments and disclose inaccessible sources.

Salary and job comparisons need clear sources and consistent role, location, and level filters. This skill guides connected Levels.fyi queries and distinguishes sourced figures from estimates.

Base salary alone does not show how your compensation compares with peers. This skill compares annual total pay with company level medians and market data.

Stock researchers need consistent measures of news attention across companies and market themes. This skill guides authenticated Lava queries and summarizes mentions, source coverage, rankings, and historical trends.

New AI releases can attract short-lived searches that obscure lasting keyword opportunities. This skill guides paid research into names, generic terms, demand, and competition.

New AI launches create search opportunities that are difficult to compare across sources. This skill uses a research CLI to turn discovery signals into keyword priorities.

New AI names appear across separate feeds, making daily discovery difficult. This skill guides new-term-radar collection and organizes deduplicated names with supporting evidence.

Reasoning traces do not show which events change a model's chance of solving a task. This skill guides PTS searches, event interpretation, and local dataset exports with explicit measurement caveats.

Choosing an open-weight model can be difficult when hardware memory is limited. Local AI Picks helps compare model weights, memory needs, and sources for your device.

Competitor traffic data can be difficult to compare across sources. This skill gathers paid traffic and SEO estimates into a comparison and identifies growth opportunities.

Stone selection and installation details can be difficult to compare. This guide uses renovation references to explain options and common pitfalls.

不慣れなリポジトリは、ファイルだけから理解するには時間がかかります。このスキルは Claude、Codex、Claude Code が DeepWiki にクエリを実行し、アーキテクチャ、機能、コントリビューションに関する調査を行えるようガイドします。

AI platforms can provide conflicting claims and uneven citations. This skill captures their answers, compares facts, and produces traceable verification reports.

SRAやGEOの研究では、多くの場合、手作業でのアクセッション変換、メタデータ確認、論文検索が必要です。このスキルは、データセット解析、ダウンロード、シングルセルシーケンシングレビューのためのSRAgentワークフローをガイドします。