Ingest RFP opportunities from SAM.gov, Maryland eMMA, RFPMart, and GovTribe into a canonical schema.
npx skills add https://github.com/Atemndobs/nebula-rfp --skill rfp-ingest
Please help me install this Agent Skill. Skill: rfp-ingest Source: https://github.com/Atemndobs/nebula-rfp/tree/main/.claude/skills/rfp-ingest Command: npx skills add https://github.com/Atemndobs/nebula-rfp --skill rfp-ingest
Ingests RFP opportunities from multiple data sources (SAM.gov, Maryland eMMA, RFPMart, GovTribe) and unifies them into a canonical schema with deduplication, enabling consistent evaluation and automation.
Instruct the ingestion engine to pull new RFP opportunities from all configured sources.
High-intent search queries and answers about installing and using this skill.
RFP data normalization from SAM.gov, RFPMart, and Maryland eMMA is achieved by ingesting all sources into a canonical schema with automated deduplication, ensuring consistent data quality across multiple platforms.
Yes, you can ingest RFP opportunities from both API-based and CSV-based data sources. The pipeline supports API connections, manual CSV uploads, and email-alert ingestion where applicable to unify data formats.
The best way to deduplicate RFP opportunities across multiple platforms is to align data from SAM.gov, Maryland eMMA, and GovTribe into a canonical schema, using upsert logic to prevent duplicates and maintain data quality.
Yes, the RFP ingestion pipeline supports both on-demand and scheduled runs with robust error handling. It implements logging to support reproducible ingestion, audit trails, and alerting for any ingestion issues encountered.
To handle upserts and audit trails during multi-source RFP data ingestion, the pipeline applies upsert logic and comprehensive logging, ensuring reproducible ingestion and tracking all data modifications for quality assurance.
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AtemndobsNormalize federal, state, and local RFP streams into a unified data model.
