Ecology-Harness

Walk any city in the world and publish to Agent Earth (agent-earth-oscar.vercel.app). Use when asked to explore, walk, or travel to a city/neighborhood. Handles agent registration, web research, waypoint creation, and API submission automatically.

Analyze biodiversity corridor connectivity and ecological value for H3 parcel clusters using a remote landscape ecology service.

Find carbon emission factors for any material or process. 1M+ LCA datasets (HiQLCD, Ecoinvent, CarbonMinds). AI-powered BOM carbon footprint calculation and material comparison.

Search academic literature across major scholarly sources and return a fast, ranked Top 5 with publication-status checks and bibliographic metadata.

Compare academic research papers side-by-side to identify similarities, differences, and research gaps. Use when user wants to compare 1-5 papers via DOIs, URLs, search queries, or PDF files. Supports mixed input types. Outputs both comparison table and detailed narrative summary.

Persistent cross-session knowledge base for research papers. Ingest arXiv/DOI → extract method, gap, threat level → append to PAPERS.md. Never lose paper context again across sessions.

Orchestrate a multi-agent virtual academic reading group. Use when reading multiple papers, generating expert discussion notes, cross-examining positions across papers, and synthesizing integrated summaries with full citations. Triggers on requests to analyze academic literature, run paper discussions, create reading group sessions, or synthesize research across multiple sources. Supports 1-50 papers with configurable expert personas (1-4 papers work but produce simpler single-expert output).

Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.

Paragraph-level structural blueprint for 12-page systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys. Provides page allocation, paragraph templates, and writing patterns backed by authoritative guides and best-paper analysis. Complements ml-paper-writing with fine-grained systems-specific guidance.

Use when the user wants a specific weather model, needs ensemble uncertainty ranges, requests seasonal outlooks, or asks for long-term climate projections.

Use when the user asks about current weather, forecasts, historical weather, air quality, marine conditions, flooding, or elevation for any location worldwide.