Reading, auditing, and explaining dense machine learning or engineering papers shouldn't stop at a wall of plain-text chat bullets—or brittle LaTeX scripts that break on half of developer workstations.
Over the past week, I architected and open-sourced My-antigravity-research-skills (agy-research-kit), a full-stack Google Antigravity Plugin designed specifically for rigorous scientific paper auditing, interactive simulation, and visual storytelling.
🔗 GitHub Repository: https://github.com/RobinaMirbahar/My-antigravity-research-skills
🎮 Live HTML5 Interactive Paper Simulator: https://robinamirbahar.github.io/My-antigravity-research-skills/
Google Antigravity gives developers five composable customization layers that fit together cleanly:
SKILL.md):~50 tokens (YAML frontmatter only) until the agent actually needs it—preventing context bloat across 8+ specialized workflows.mcp_config.json): hooks.json): rules/AGENTS.md): agy-* Research Skills
Every script in agy-research-kit uses PEP 723 inline # /// script metadata executed via uv run, plus headless Chromium/Edge and pymupdf + imageio[ffmpeg]—meaning zero system TeX or global FFmpeg installation headaches across Windows, macOS, and Linux:
| Skill | What It Builds | Output Artifact |
|---|---|---|
agy-interactive-paper-studio |
Turns closed-form paper equations into a zero-backend 60-FPS HTML5/Canvas simulator | Standalone index.html |
agy-ablation-stat-auditor |
Recomputes exact Wilson 95% score CIs ,Fisher's Exact ,McNemar paired p-values , & leaderboard noise floors | Audit Markdown/LaTeX + JSON |
agy-citation-doi-verifier |
Verifies bibliographies against live Crossref & OpenAlex REST APIs and upgrades preprints to published venues | Traffic-Light DOI Audit |
agy-figure-forensics |
Adds numbered vector callouts, regime shading, and Engineering Takeaway cards onto 300-DPI paper plots | A4 Visual Anatomy PDF |
agy-math-sandbox |
Color-codes equations into operator blocks and runs deterministic NumPy/SciPy Monte Carlo verification | A4 Math Verification PDF |
agy-trajectory-cinematics |
Renders 1920x1080 H.264.mp4 animations pairing a live system state monitor with 2x2 real-time telemetry curves |
1080p .mp4 + Narration.md |
agy-graphic-story |
Renders pure-code A4 Vector SVG Technical Graphic Novels with custom characters, blackboards, and verbatim scoreboards | A4 Vector Comic PDF |
agy-frontier-gap-radar |
Orchestrates OpenAlex + arXiv retrieval into an N x 7 capability heatmap and novelty-checked research blueprints |
A4 Frontier Gap Radar PDF |
Gemma 4 LoopBreaker)
To test all 8 skills end-to-end on a real systems research problem, the repository includes a complete showcase in examples/gemma4-loop-breaker/ analyzing how 4-bit weight quantization (W4A16) interacts with growing multi-turn agent KV caches ( 1 - 1 / (1 + C * e^{-delta})).
agy-graphic-story)
Generated 100% programmatically from Python + SVG/HTML (story_svg_engine.py) with verbatim benchmark tables and automatic PyMuPDF 2-up visual QA:
📄 Download Full Sample PDFs Directly from the Repo:
agy-trajectory-cinematics)
Using imageio[ffmpeg] inside an isolated uv run micro-environment, the plugin renders a crisp 1920x1080 H.264 .mp4 sweep synchronizing an agent state monitor with four live quantitative plots:
🎬 Watch / Download the Sample 1080p .mp4: Gemma4_LoopBreaker_Explainer_v1.mp4
When you install plugins/agy-research-kit, Antigravity automatically registers two guardrails that keep AI research honest:
research_audit_mcp.py (Stdio MCP Server):verify_wilson_ci, verify_fisher_exact, leaderboard_noise_floor, and verify_doi_metadata over JSON-RPC so the agent never guesses confidence intervals or p-values mentally.stdlib_shadow_guard.py (PostToolUse Hook):numbers.py, statistics.py, or math.py in your working directory (which silently crashes numpy and scipy), the hook flags it immediately.
Windows (PowerShell):
git clone https://github.com/RobinaMirbahar/My-antigravity-research-skills.git
New-Item -ItemType Directory -Force -Path "$HOME\.gemini\config\plugins" | Out-Null
Copy-Item -Recurse -Force My-antigravity-research-skills\plugins\agy-research-kit "$HOME\.gemini\config\plugins\"
macOS / Linux:
git clone https://github.com/RobinaMirbahar/My-antigravity-research-skills.git
mkdir -p ~/.gemini/config/plugins
cp -r My-antigravity-research-skills/plugins/agy-research-kit ~/.gemini/config/plugins/
Run the self-contained verification suite anytime with:
uv run tests/test_skills_structure.py
If you try agy-research-kit on your own papers or Kaggle competition writeups, drop a star on RobinaMirbahar/My-antigravity-research-skills and let me know what research skill you'd love to see next!