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 built with Google Antigravity 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/
Why Native Google Antigravity Primitives Change Research Workflows
Google Antigravity gives developers five composable customization layers that fit together cleanly:
- Progressive-Disclosure Skills (
SKILL.md): Each skill sits idle at~50 tokens(YAML frontmatter only) until the agent actually needs it—preventing context bloat across 8+ specialized workflows. - Stdio MCP Servers (
mcp_config.json): Zero-hallucination deterministic tools for statistical hypothesis tests and live Crossref DOI lookups. - Lifecycle Safety Hooks (
hooks.json): Pre/post tool-call guards that stop common Python research bugs before they happen. - Always-On Rules (
rules/AGENTS.md): Strict provenance rules ensuring zero invented metrics and mandatory visual montage QA. - Interactive HTML5 Studios: Self-contained 60-FPS Canvas/SVG parameter explorers that let readers drag sliders over a paper's equations in real time.
Inside the 8 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 |
Live Sample Showcase: Dissecting Quantized Agent Context Collapse (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})).
1. Pure-Code Vector SVG Technical Graphic Story (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:
- 4-Page Vector Graphic Story PDF: Gemma4_LoopBreaker_Comic_v1.pdf
- Visual Figure Forensics Dossier PDF: Gemma4_LoopBreaker_Figure_Guide_v1.pdf
- Color-Coded Equation & Monte Carlo Verification PDF: Gemma4_LoopBreaker_Equation_Guide_v1.pdf
2. 1080p Animated Telemetry Explainer (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 / Stream Full 1080p .mp4: https://robinamirbahar.github.io/My-antigravity-research-skills/Gemma4_LoopBreaker_Explainer_v1.mp4
Built-In Stdio MCP Server & Lifecycle Safety Hook
When you install plugins/agy-research-kit, Antigravity automatically registers two guardrails that keep AI research honest:
-
research_audit_mcp.py(Stdio MCP Server): Exposesverify_wilson_ci,verify_fisher_exact,leaderboard_noise_floor, andverify_doi_metadataover JSON-RPC so the agent never guesses confidence intervals or p-values mentally. -
stdlib_shadow_guard.py(PostToolUseHook): Catches a classic Python footgun—if a script tries to writenumbers.py,statistics.py, ormath.pyin your working directory (which silently crashesnumpyandscipy), the hook flags it immediately.
Install in 30 Seconds
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!
