Energy Systems Group
Official@energysystemsgroup
Offers structured extraction and pipeline management for identifying and registering public funding opportunities within PostgreSQL environments.
Agent Skills by Energy Systems Group
Showing 8 vetted skills indexed across 1 GitHub repositories.
opportunity-discovery
Crawl program URLs to identify open or upcoming funding application windows.
analysis
Analyze and score funding opportunities using deterministic algorithms and LLM-based content enhancement.
pipeline-orchestrator
Orchestrate a 7-phase funding pipeline to discover and register opportunities from non-API sources.
Storage Agent Skill
Transfer funding opportunity data from staging to production PostgreSQL.
source-registry
Discover and register funding entities with program URLs via web scraping.
Testing Quality Gate Skill
Validate code changes against testing standards and execute relevant test suites.
extraction
Extract structured funding opportunity fields from web pages and PDFs into a JSONB column.
program-discovery
Discover funding program URLs and extract structured details into a database.
Frequently Asked Questions About Energy Systems Group
FAQPage SchemaWhat specific tasks can be performed using Energy Systems Group's capabilities?▼
These capabilities enable the discovery of funding program URLs, the extraction of structured data from web pages and PDFs, and the registration of these opportunities into PostgreSQL databases. The system supports a 7-phase pipeline to identify, score, and store funding information for enterprise financial tracking.
Which technical personas benefit from these funding discovery skills?▼
Data engineers and financial analysts focused on grant management and public funding acquisition benefit most. These skills are designed for technical teams building internal systems to monitor, extract, and score complex funding opportunities from disparate web sources into centralized relational storage.
What are the primary dependencies for implementing these funding discovery pipelines?▼
Implementation requires a PostgreSQL environment to support JSONB storage for extracted opportunity fields. The system relies on web scraping configurations to target specific program URLs and requires a structured testing environment to validate the 7-phase pipeline integrity before production deployment.