by VeraSuperHub
Open-source AI skills and plugins for EB-1 and EB-2 NIW immigration petitions — from case evaluation to RFE response. Built for Claude.
# Add to your Claude Code skills
git clone https://github.com/VeraSuperHub/vera-eb-suiteHi, I'm Vera — a silicon-based rabbit and AI immigration agent, created by Veronica.
Veronica has a PhD in Quantitative Sciences, 10+ years across quantitative research, AI, and clinical trials, with publications in psychometrics and human-AI collaboration. She also went through the NIW process herself. She created me to handle the parts of petition preparation that can be systematized. She reviews, tests, and decides what ships. I build. She judges.
Everything in this repo is what I can do. What I can't do is assess whether your specific case will be approved, give legal advice, or replace an experienced immigration attorney. That's a human job.
Open-source AI skills and plugins that guide petitioners through the complete EB-1 (Extraordinary Ability / Outstanding Researcher) and EB-2 NIW (National Interest Waiver) petition processes — from initial case evaluation to RFE response.
Each skill encodes attorney-level reasoning patterns derived from 5,000+ AAO (Administrative Appeals Office) decisions and updated with 2024–2025 adjudication trends. Built for Claude.
Why this exists: Immigration is high-stakes and information asymmetry shouldn't determine outcomes. A seasoned immigration attorney makes dozens of judgment calls during petition preparation — most follow discoverable patterns. This project decomposes those patterns into modular, testable, improvable AI skills so every applicant can access expert-level guidance.
┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ 1. EVALUATE │────▶│ 2. ENDEAVOR │────▶│ 3. PILLAR │
│ Go/no-go │ │ Endeavor │ │ ×3 runs │
│ assessment │ │ statement │ │ (one per │
│ │ │ + 3 pillar │ │ pillar) │
└──────────────┘ │ seeds │ └──────┬───────┘
└──────────────┘ │
▼
┌─────────────┐ ┌─────────────┐ ┌──────────────┐
│ 7. RFE │ │ 6. PL │◀────│ 5. ASSEMBLE │
│ RESPONSE │ │ REVIEW │ │ Full .docx │
│ (if needed) │ │ Adversarial │ │ petition │
└─────────────┘ │ QA gate │ └──────┬───────┘
└─────────────┘ │
▲ ┌─────┴────────┐
└──────────────│ 4. RECOMMEND │
│ Reference │
│ letters │
└──────────────┘
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Entrepreneur cases route through vera-niw-entrepreneur before entering the standard pipeline at Step 2.
STEM focus: The criterion skills below cover the criteria most commonly used in STEM petitions. This is not the full set of EB-1 criteria — criteria such as awards (Crit. 1), membership (Crit. 2), high salary (Crit. 9), and commercial success (Crit. 10) are not yet included. For EB-1A, petitioners must meet at least 3 of the 10 criteria; for EB-1B, petitioners must meet at least 2 of the 6 criteria. Use the criterion skills that match your evidence.
┌──────────────┐ ┌──────────────────────────────────────┐
│ 1. EVALUATE │────▶│ 2. CRITERION SKILLS │
│ Go/no-go │ │ ┌────────────┐ ┌────────────────┐ │
│ EB-1A vs │ │ │ AUTHORSHIP │ │ ORIGINAL │ │
│ EB-1B │ │ │ (Crit. 6) │ │ CONTRIBUTIONS │ │
│ │ │ └────────────┘ │ (Crit. 5) │ │
└──────────────┘ │ ┌────────────┐ └────────────────┘ │
│ │ JUDGING │ ┌────────────────┐ │
│ │ (Crit. 4) │ │ CRITICAL ROLE │ │
│ └────────────┘ │ (Crit. 8) │ │
│ ┌────────────┐ └────────────────┘ │
│ │ PUBLISHED │ │
│ │ MATERIAL │ │
│ │ (Crit. 3) │ │
│ └────────────┘ │
└──────────────────┬───────────────────┘
▼
┌─────────────┐ ┌─────────────┐ ┌──────────────┐
│ 6. RFE │ │ 5. PL │◀─│ 4. ASSEMBLE │
│ RESPONSE │ │ REVIEW │ │ Full .docx │
│ (if needed) │ │ Adversarial │ │ petition │
└─────────────┘ │ QA gate │ └──────┬───────┘
└─────────────┘ │
▲ ┌─────┴────────┐
└───────────│ 3. RECOMMEND │
│ + FINAL │
│ MERITS │
└──────────────┘
vera-niw.plugin / vera-niw-skillset/)| # | Skill | What It Does |
|---|-------|-------------|
| 1 | vera-niw-evaluate | Evaluates the petitioner's profile, selects the optimal pathway, identifies strengths and gaps, and produces a go/no-go recommendation with a confidence score |
| 2 | vera-niw-endeavor | Drafts the national importance endeavor statement — the single paragraph USCIS reads first — using field-specific framing patterns |
| 3 | vera-niw-pillar | Writes the three-pillar petition letter covering Prong 1 (substantial merit + national importance), Prong 2 (well-positioned), and Prong 3 (balance of equities). Run once per pillar |
| 4 | vera-niw-recommendation | Generates recommendation letters with writer-specific voice calibration, ensuring each letter covers different evidence angles without redundancy |
| 5 | vera-niw-assemble | Assembles the final petition package — petition letter, exhibit list, and supporting documents — as an attorney-quality .docx with cross-reference verification |
| 6 | vera-niw-pl-review | Adversarial pre-filing review simulating a USCIS officer — 10 denial-pattern checks (A–J) mapped to real AAO denial grounds |
| 7 | vera-niw-rfe-response | Generates point-by-point RFE responses that quote each USCIS finding verbatim and rebut with evidence, updated metrics, and new exhibits |
| 8 | vera-niw-entrepreneur | Evaluates and guides entrepreneur/founder NIW petitions using the USCIS Policy Manual's entrepreneur-specific framework (Jan 2025 update) |
vera-eb1.plugin / vera-eb1-skillset/)| # | Skill | What It Does |
|---|-------|-------------|
| 1 | vera-eb1-evaluate | Evaluates EB-1A vs EB-1B eligibility, maps evidence to the 10 criteria, and produces a go/no-go recommendation |
| 2 | vera-eb1-authorship | Criterion 6: authorship of scholarly articles with venue rankings and citation impact analysis |
| 3 | vera-eb1-original-contributions | Criterion 5: original contributions of major significance with before/after framing |
| 4 | vera-eb1-judging | Criterion 4: evidence of judging the work of others (peer review, panels, editorial boards) |
| 5 | vera-eb1-critical-role | Criterion 8: leading or critical role in distinguished organizations |
| 6 | vera-eb1-published-material | Criterion 3: published material about the petitioner in professional or major media |
| 7 | vera-eb1-recommendation | Generates EB-1 reference letters from a recommender's perspective |
| 8 | vera-eb1-final-merits | Kazarian Step 2: final merits determination arguing sustained national/international acclaim |
| 9 | vera-eb1-assemble | Assembles the complete EB-1 I-140 petition letter as a formatted .docx |
| 10 | vera-eb1-pl-review | Adversarial pre-filing review using the Kazarian two-step analytical framework |
| 11 | vera-eb1-rfe-response | Generates point-by-point EB-1 RFE responses with evidence and rebuttal patterns |
Total: 19 skills across both petition categories.
Got a weak research profile? If
vera-niw-evaluateorvera-eb1-evaluateflags insufficient publications or citation impact, I can help with that too. Check out ai-research-pipeline and stat-research-pipeline — my other skill suites that take a research question and dataset to a publication-ready manuscript, end-to-end.
In addition to skills, this suite includes standalone tools that feed data into the pipeline:
| Tool | What It Does | Used By |
|---|---|---|
| GoogleScholar | Extracts citation metrics, publication lists, and h-index from Google Scholar (Python + Colab notebook) | vera-niw-assemble (Section 3: Academic Credentials) |
There are two ways to install: plugins (for Claude Code) and individual skills (for claude.ai).
Plugins bundle all skills for a petition type into a single file. Install via double-click or terminal:
# Clone the repo
git clone https://github.com/VeraSuperHub/vera-eb-suite.git
cd vera-eb-suite
# Install the plugin(s) you need
claude plugin install vera-niw.plugin
claude plugin install vera-eb1.plugin
If the .plugin file extension is not recognized on your system, rename it to .zip before installing:
cp vera-niw.plugin vera-niw.zip
claude plugin install vera-niw.zip
For use on