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BdM-15
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resolving-piids

Normalize PIIDs and award identifiers into a canonical record with confidence scores.

Updated Apr 14, 2026
Search Tags:#canonicalization#data-cleaning#award#piid#record-matching#government-contracts
One-click install
npx skills add https://github.com/BdM-15/shipley-bd-capture-skills --skill resolving-piids
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: resolving-piids
Source: https://github.com/BdM-15/shipley-bd-capture-skills/tree/main/shipley-bd-capture-skills/skills/00_piid_resolver
Command: npx skills add https://github.com/BdM-15/shipley-bd-capture-skills --skill resolving-piids

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill resolves PIIDs and related award identifiers into a canonical, normalized record to enable reliable downstream analysis and matching.

Core Features & Use Cases

  • Normalize and standardize PIIDs and similar identifiers, correcting common variants.
  • Match ambiguous references to a canonical award, providing confidence scores and open questions.
  • Return a structured result comprising Canonical PIID, matched record, confidence, evidence, and identified gaps, enabling faster decision-making in procurement and tracking use-cases.

Quick Start

Submit a PIID or related identifier to the resolver and receive a canonical PIID, matched record, confidence, and any open questions.

Frequently Asked Questions about resolving-piids

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I normalize government contract PIIDs for reliable data analysis?▼

PIID canonicalization corrects common identifier variants and matches ambiguous references to a canonical award record. It returns a normalized PIID, matched record, confidence score, and unresolved gaps to ensure reliable procurement tracking and analysis.

What is PIID canonicalization and how does it work for award matching?▼

PIID canonicalization corrects common identifier variants and matches ambiguous references to a canonical award record. It returns a normalized PIID, matched record, confidence score, and unresolved gaps to ensure reliable procurement tracking and analysis.

How do I resolve ambiguous award numbers when tracking government contracts?▼

The resolver handles ambiguous contract identifiers by applying normalization and variant checking to find the best match. It outputs the canonical PIID, matched record, confidence score, and open questions for unresolved gaps in your award tracking data.

Can I use this PIID resolver for procurement bids without any dependencies?▼

Yes, this PIID resolver operates without external dependencies to canonicalize award identifiers. It independently normalizes contract numbers and returns canonical records with confidence scores for procurement bid analysis.

What does the structured result include when resolving contract identifiers?▼

The structured result includes the canonical PIID, matched award record, confidence score, supporting evidence, and identified gaps. This output enables faster decision-making in procurement tracking and downstream government contract analysis.

What happens when a PIID cannot be fully matched to an award record?▼

When a PIID cannot be fully matched, the resolver returns identified gaps and open questions alongside the best-match canonical record and confidence score. This highlights unresolved areas for manual review in your government contract data cleaning process.

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