Benchmark a bank CDFI against a peer group on FDIC call-report metrics (NIM, ROAA, ROAE, efficiency ratio, Tier 1 capital, loans-to-deposits, NPL ratio, loan-loss coverage). Use when the user says "benchmark this CDFI", wants a "peer comparison", or asks "how does this bank CDFI compare". Bank CDFIs only (FDIC-insured) — no credit unions, no unregulated loan funds. Backed by the audited PyPI package cdfi-benchmark; import name is cdfibenchmark.
EnglishPull and describe HMDA mortgage-lending data (LAR records) for a county, state, lender (LEI), or multiple years, and compute a CRA-PROXY borrower- and tract-income distribution. Use when the user says "pull HMDA data", "LAR records", "mortgage lending data for [county/state/lender]", or "multi-year HMDA". DESCRIPTIVE ONLY — this skill does not do disparity, disparate-impact, or fair-lending analysis. Backed by the audited PyPI package hmda-analyzer.
EnglishCheck whether a U.S. address or census tract is New Markets Tax Credit (NMTC) eligible as a Low-Income Community, and screen a project's NMTC feasibility. Use when the user asks "is this address/tract NMTC eligible", about "distress criteria", "severe distress", "deep distress", "low-income community" / "LIC" status, or wants a first-pass NMTC deal feasibility score. Backed by the audited PyPI packages nmtc-mapper and nmtc-screener — never estimate eligibility from general knowledge.
English
AGENT SKILLS ATLASIncludes Cdfi Peer Benchmark, Hmda Analysis, and Nmtc Eligibility.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Cdfi Peer Benchmark
Benchmark a bank CDFI against a peer group on FDIC call-report metrics (NIM, ROAA, ROAE, efficiency ratio, Tier 1 capital, loans-to-deposits, NPL ratio, loan-loss coverage). Use when the user says "benchmark this CDFI", wants a "peer comparison", or asks "how does this bank CDFI compare". Bank CDFIs only (FDIC-insured) — no credit unions, no unregulated loan funds. Backed by the audited PyPI package cdfi-benchmark; import name is cdfibenchmark.
Hmda Analysis
Pull and describe HMDA mortgage-lending data (LAR records) for a county, state, lender (LEI), or multiple years, and compute a CRA-PROXY borrower- and tract-income distribution. Use when the user says "pull HMDA data", "LAR records", "mortgage lending data for [county/state/lender]", or "multi-year HMDA". DESCRIPTIVE ONLY — this skill does not do disparity, disparate-impact, or fair-lending analysis. Backed by the audited PyPI package hmda-analyzer.
Nmtc Eligibility
Check whether a U.S. address or census tract is New Markets Tax Credit (NMTC) eligible as a Low-Income Community, and screen a project's NMTC feasibility. Use when the user asks "is this address/tract NMTC eligible", about "distress criteria", "severe distress", "deep distress", "low-income community" / "LIC" status, or wants a first-pass NMTC deal feasibility score. Backed by the audited PyPI packages nmtc-mapper and nmtc-screener — never estimate eligibility from general knowledge.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Cdfi Peer Benchmark skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: MIT. The author’s terms apply.