SEO problems can hide across crawling, metadata, content, performance, and international targeting. This skill organizes evidence into clear findings and a prioritized action plan.

Unfocused lead research produces stale contacts and weak matches. This skill defines an ICP, verifies evidence, scores prospects, and applies outreach compliance safeguards.

Scaled SEO pages often become thin, repetitive, or difficult to index. This skill develops data-backed templates, linking plans, and quality controls for useful pages.

Pricing decisions often lack clear evidence, customer alignment, and coherent packaging. This skill turns business context and research into practical pricing recommendations.

Customer feedback is often scattered across interviews, tickets, surveys, reviews, and communities. This skill organizes that evidence into themes, quotes, personas, and research priorities.

Competitor research often produces inconsistent facts and unsupported conclusions. This skill combines public website, review, and SEO evidence into comparable profiles.

Research questions often require current web evidence, local documentation, and code examples. This skill coordinates those sources and synthesizes findings with clear confidence labels.

Research tasks often lose scope, citations, and source quality. This skill gives Claude, Codex, and Claude Code a repeatable research workflow.

Model identifiers change and quickly make configurations stale. This skill queries supported providers, caches results, detects additions, and recommends capability tiers.

Teams often write copy without real customer language. This skill guides Claude, Codex, and Claude Code to collect exact quotes and organize them for messaging.

SEO teams need clear reasons why competitors outrank them. This skill structures ranking signal analysis, competitive gaps, and action plans.

Competitive research can miss page structure, trust signals, and messaging gaps. This skill guides Claude, Codex, and Claude Code through a repeatable website analysis workflow.

AI assistants often lack current information for news, prices, releases, and fast-moving topics. This skill guides Claude, Codex, and Claude Code to call Tavily Search with clear query parameters.

Preparing molecular dynamics starting structures requires precise Packmol syntax and geometry choices. This skill helps create inputs, solvation setups, interfaces, and validation steps for Packmol workflows.

Technical research can become fragmented across articles, documentation, and repositories. This skill combines Exa web and code searches into structured, repeatable workflows.

Schema.org research can be slow and inconsistent when extending a Logseq template graph. This skill compares official vocabulary with existing templates and recommends compatible classes, properties, types, and modules.

Software teams need current, context-aware guidance before choosing an implementation approach. This skill compares trusted sources and project patterns to produce practical recommendations with trade-offs.

Manual extraction from scientific literature is slow, inconsistent, and difficult to validate. This skill organizes papers, extracts schema-based records, validates values, and exports analysis-ready datasets.

Genome-to-tree phylogenomics requires many tools, file transformations, and scheduler settings. This skill creates a tailored BUSCO/compleasm workflow with scripts, quality checks, tree inference, and methods text.

Phylogenetic biogeography workflows often fail because tree labels, distribution files, and model settings do not align. This skill validates inputs and prepares a reproducible BioGeoBEARS analysis with comparisons and visualizations.