skills.rest
BdM-15
BdM-15COMMUNITY
Explore all skills by this author →
GitHub

building-award-baselines

Extract and normalize federal award data across multiple PIIDs.

Updated Apr 14, 2026
Search Tags:#data-normalization#federal-data#award-baseline#piid#capture-workflow#proposal-support#contract-context
One-click install
npx skills add https://github.com/BdM-15/shipley-bd-capture-skills --skill building-award-baselines
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: building-award-baselines
Source: https://github.com/BdM-15/shipley-bd-capture-skills/tree/main/shipley-bd-capture-skills/skills/01_award_baseline
Command: npx skills add https://github.com/BdM-15/shipley-bd-capture-skills --skill building-award-baselines

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Builds a clean, ready-to-use baseline of core federal award data by wrapping upstream 1102tools capabilities, reducing manual data gathering for capture and proposal tasks.

Core Features & Use Cases

  • PIID resolution and data retrieval: resolves ambiguous identifiers and pulls funding, dates, agencies, recipients, and contract context from authoritative sources.
  • Normalization and gaps: normalizes results into a stable summary and flags missing or conflicting fields for follow-up.
  • Use Case: When a capture team needs a single, trustworthy baseline across multiple PIIDs or contracts to inform win strategies and decision gates.

Quick Start

Invoke the award-baseline workflow to assemble a ready-to-use baseline from authoritative federal award data.

Frequently Asked Questions about building-award-baselines

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

FAQPage Schema
How do I build a clean federal award data baseline for capture work?▼

To build a federal award data baseline, you resolve ambiguous PIIDs and extract funding, dates, and contract context from authoritative sources, then normalize the results into a stable summary while flagging missing or conflicting fields.

What is the best way to normalize contract data across multiple PIIDs?▼

Normalizing contract data across multiple PIIDs involves resolving each identifier, retrieving core award fields, and structuring the output into a consistent format with gaps and conflicts flagged for follow-up.

Can I resolve ambiguous PIIDs when gathering federal contract context?▼

Yes, PIID resolution handles ambiguous identifiers before retrieving data, ensuring the gathered contract context accurately matches the intended federal awards.

How do I flag missing or conflicting fields in federal award data?▼

Flagging missing or conflicting fields happens during data normalization, automatically identifying gaps in the retrieved award data to ensure completeness for decision-making.

Does this federal award baseline workflow require external dependencies?▼

No external dependencies are required; the workflow wraps upstream 1102tools capabilities to retrieve and normalize authoritative federal award data directly.

When do I need a normalized award baseline for proposal planning?▼

You need a normalized award baseline when a capture team requires a single, trustworthy dataset across multiple contracts to inform win strategies and decision gates for proposal planning.

Related Skills

Explore More Data & Analytics Skills→
BdM-15BdM-15

resolving-piids

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

Community
Intermediate
yo16yo16

free-tool-strategy

Plan and evaluate free marketing tools for lead generation campaigns.

Community
Advanced
sun2443sun2443

vendor-review

Analyze vendor proposals for total cost, risk, and business fit.

Community
Intermediate
BdM-15BdM-15

award-review-reference

Document observation-based compliance signals for federal award reviews.

Community
Basic