The industry_development_barometer skill tracks multi-dimensional industry evolution across policy, market, and technology dimensions while generating localized enterprise value-chain mapping graph analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install industry-development-barometer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install industry-development-barometer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is industry_development_barometer?
The industry_development_barometer skill is an advanced analytical framework designed for Openclaw Skills that transforms raw macro-economic data and local corporate directories into actionable industry insight. By pinpointing specified nodes within a value chain (such as solid-state batteries or low-altitude flight control systems), this tool aggregates 5 years of developmental timelines, policy directions, market size transitions, and foundational technology breakthroughs to synthesize accurate future trend predictions.
Furthermore, this skill bridges the gap between macro industry trajectories and micro regional economics. When populated with a local company directory, it automatically matches corporate profiles onto their respective upstream, midstream, or downstream positions along the industry map. This allows analysts, local government bodies, and developers using Openclaw Skills to visualize regional economic strengths and identify structural missing links or industrial vacancies ripe for strategic investment.
industry_development_barometer Use Cases
- Evaluating the 5-year evolutionary timeline and developmental milestones of highly specific technological nodes.
- Conducting multi-dimensional assessments covering policy updates, shipping volumes, and technical iterations for a focused sector.
- Mapping regional business clusters against standard value-chain layers to uncover structural gaps or investment opportunities.
- Predicting near-term industrial trends, regulatory changes, and competitive landscapes based on compiled historical data.
- Grouping localized enterprise directories into structural upstream, midstream, and downstream industrial classifications.
How industry_development_barometer Works
- Input Parsing and Intelligence Retrieval: The agent extracts parameters including the target industrial node, region, and optional company list, initiating deep internal and external API lookups across state guidelines, research whitepapers, and corporate technical announcements.
- Timeline & Multi-Dimensional Compiling: Information gathered from the prior 5 years is structured chronologically, isolating 1 to 2 benchmark events per year across regional policies, market sizing data, and critical technology milestones.
- Predictive Logic Synthesis: Using established technological readiness curves and financing directions, the system outputs speculative yet highly verifiable trend predictions for the upcoming years.
- Value-Chain Enterprise Mapping: If a directory of local enterprises is provided, the agent processes business descriptions to assign companies to proper value-chain positions, highlighting operational vacuums in the local economy.
industry_development_barometer Setup
Prerequisites
Ensure that you have an active openclaw environment running. This skill works out of the box with all openclaw deployments and handles data serialization directly into structured Markdown documents.
Installation
No external pip compilations are required. Register the skill block with your system core configuration or call it directly through the CLI interface.
# Trigger the barometer query with required industry node and regional filters
/industry_development_barometer industry_node="eVTOL Flight Control" region="Nanshan District, Shenzhen" focus_industry="Low-Altitude Economy"
industry_development_barometer Data Schema & Taxonomy
The skill structures output data dynamically based on the input payload, utilizing standard structured Markdown syntax.
Report Taxonomy Structure
| Module | Component | Description |
|---|---|---|
| 1. Base Profile | Industry Node Overview | Defines the target node name, core technological stack, and default value-chain layer (Upstream/Midstream/Downstream). |
| 2. 5-Year Evolution | Chronological Matrix | A detailed year-by-year table showcasing the top 1-2 hallmark events influencing the node. |
| 3. Multi-Dimensional Assessment | Segmented Focus | Splits analysis into deep dives: Regulatory Guidance, Market Cap/Volume Trends, and Core Technical Iterations. |
| 4. Future Forecast | Predictive Signals | Lists 3-5 high-probability trends with verifiable timelines and market assumptions. |
| 5. Mapping Graph (Optional) | Corporate Value Alignment | Active only if local enterprise arrays are passed. Generates categorized business groupings and isolates local value-chain vacancies. |
industry_development_barometer Advanced Features
- Localized Policy Prioritization: Intelligently structures political analysis by searching county, city, and state regulations tied to the target region before defaulting to national declarations.
- Adaptive Lookback Window: Defaults to a standard 5-year historical timeline but dynamically reduces or increases windows based on the age and emergence of nascent technological segments.
- Industrial Structural Gap Spotting: Automatically flags unrepresented supply chain steps within localized business directories to highlight strategic gaps for investment attraction.
- Cross-Layer Matrixing: Handles complex entities whose business operations cross multiple value-chain layers by assigning them to a primary tier while retaining secondary attributes in cross-referenced notes.
SKILL.md
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