High-Growth Track Miner

Problem

In industrial research and investment screening, many sector analyses stop at a first-level industry plus recent funding heat. Sectors such as new energy vehicles, low-altitude economy, and solar are described too broadly to identify investable niches, while short-lived hype can be confused with durable growth. This skill targets that gap: it works from a specific industry chain and tries to surface second- and third-level niches that may compound over the next 3-5 years, with explicit supporting evidence.

How it works

The core idea is to turn sector analysis into auditable steps:
- Takes industry_chain, with optional target_region, analysis_depth, and time_range.
- Uses web_search to collect chain structure, market data, capital trends, technology milestones, and enterprise signals.
- Uses industry_decomposition to break the chain into upstream inputs, midstream manufacturing, downstream applications, key processes, core components, and emerging scenarios.
- Uses growth_scoring to rank candidates across market, technology, capital, enterprise, policy, investment-attraction, and spillover dimensions.
The workflow forces drill-down: identify niches, test growth drivers, validate capital and technology activity, assess enterprise clustering, then classify them into explosive, high-growth, potential, and watch-list tiers. If a region is provided, it also evaluates resource fit, talent fit, infrastructure fit, and chain-completion value.

Boundaries

• Output depends on live search and public sources; financing, market, and policy figures should be manually verified.
• It is better used as a structured research or screening draft, not as due diligence or formal investment advice.
• Without target_region, the analysis leans toward a national map and differentiated entry points; provide a region for place-specific recommendations.