Competitor listings contain useful signals, but manual analysis is slow and inconsistent. This skill extracts one ASIN and converts evidence into structured strategic opportunities.

Manual Amazon competitor research is slow and inconsistent. This skill retrieves product data through BrowserAct, compares core metrics, and creates local reports.

Amazon product research can require slow, repetitive browsing. This skill runs a BrowserAct workflow to collect structured listing, price, rating, sales, and availability data.

Research agents can create inconsistent paths and formats, making cached results difficult to find and reuse. This skill standardizes storage, naming, templates, and directory resolution.

Current web research often requires several tools and manual cleanup. This skill uses Firecrawl to fetch pages, capture screenshots, extract fields, search, and crawl documentation.

Teams often collect observations without turning them into dependable rules. This skill guides Claude, Codex, and Claude Code through structured inductive reasoning with confidence bounds.

Unexpected outcomes are hard to explain when evidence is incomplete. This skill helps Claude, Codex, and Claude Code generate, score, and rank likely causes.

Teams waste months building products before proving the problem is painful. This skill guides problem validation, solution comparison, MVP scope, and defensibility decisions.

Startup teams need clear market evidence before choosing segments, competitors, and entry strategy. This skill guides Claude, Codex, and Claude Code through structured market intelligence workflows.

Funnel pricing and lock-in make simple feature comparisons unreliable. This skill compares real costs, ownership, maintenance, and exit risk for your situation.

Understanding an unfamiliar remote repository can require extensive manual browsing. This skill guides focused DeepWiki questions about architecture, features, structure, and contribution workflows.

Genomics dataset investigation often requires multiple accession, metadata, and literature searches. SRAgent coordinates SRA and GEO queries, technology identification, and publication retrieval.

Collecting structured data across many platforms requires different tools, schemas, and cost controls. This skill guides Actor selection, execution, result retrieval, and troubleshooting through Apify.

Current software facts change faster than model training data. This skill prompts Claude, Codex, and Claude Code to verify versions, dates, and release status before answering.

Repository documentation and code can be difficult to inspect quickly across many projects. This skill retrieves and searches public repository content through GitMCP.

Map research often requires separate place, route, and visualization workflows. This skill connects AMap searches, routing APIs, travel planning, and map-link generation.

Current research tasks need fresh sources and concise summaries. This skill runs Gemini CLI search and asks it to return sourced Markdown.

Broad research requests require many searches, source checks, and organized notes. This skill guides Actionbook browsing and turns findings into structured reports.

Historical water and fishing records are hard to classify consistently. This skill guides evidence review, citation capture, and structured batch submission.

Research summaries can mix claims, quotes, and unsupported interpretation. This skill helps Claude, Codex, and Claude Code produce neutral syntheses grounded in provided sources.