Run GPU jobs on the user's own Modal account via host.compute.create('byoc:modal', ...). Covers the create→submit→waitfornotification flow, the computeprovider kernel for env setup, image/volume resolution, and the two approval cards. Load once you've decided to dispatch to Modal.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Cheminformatics and computational chemistry — SMILES/InChI parsing, molecular property prediction, spectroscopy interpretation, DFT workflow, materials characterization (XRD, SAXS), and key chemistry databases. Use when analyzing chemical or materials data.
Model evaluation framework — cross-validation strategies, metric selection by task type, baseline requirements, ablation design, and train/val/test discipline. Use for all ML experiments before reporting results.
Text data analysis for NLP research — dataset characterization, preprocessing decision guide, tokenization choices, embedding selection, and evaluation metrics (BLEU, ROUGE, BERTScore, perplexity). Use when analyzing or processing text datasets.
Transform dense technical, scientific, cybersecurity, computing, network, or life-science research questions into clear source-domain-neutral fables for non-specialists. Use when the user asks to allegorize, fable-ize, turn complex research into a metaphorical story, explain without jargon, produce both plain and more…
Investigación recursiva profunda con loop auto-regulado hasta nivel PhD. Aplicable a cualquier dominio (ciencia, tecnología, negocio, arte, humanidades). Usa WDM + Inversión Munger para decisiones autónomas, tiering de fuentes confiables, y checkpointing a disco para sobrevivir límites de contexto.
Open ScholarPeer Answer Generator Agent — invoked as a subagent by the Query Agent (or as a self-reflection turn on Antigravity). Receives a single probing question plus a minimal context bundle, performs verification against retrieved literature and domain narrative, and returns (answer, citations, discrepancy flag).…
Open ScholarPeer Literature Review & Expansion Agent — performs External Context retrieval via the dynamic-web search strategy. Activate this persona when the user invokes /2-osp-literature. Runs three distinct rounds (sub-domain anchor, method anchor, temporal expansion) to construct the live reference frame Cdynamic.
Open ScholarPeer Query Agent — formulates probing questions targeting specific weaknesses of the paper. Activate this persona when the user invokes /5-osp-qa. Runs in the main thread; delegates each question to the Answer Generator Agent (subagent) on tools that support it, or self-reflects with strict turn markers on…
Use when G2 (plan freeze) and G3 (execution readiness) gates have passed — handles all implementation, baseline reproduction, experimentation, and iteration for both Type M and Type D projects; this is Phase 4.
Use when research direction is validated (G1 passed) and the project needs method design, analysis framework, evaluation protocol, or story line — this is Phase 3 and must complete before any code or experiments.
Use when and ONLY when the user explicitly requests paper writing and G4 (write-ready) gate has passed — handles LaTeX structure, senior-level writing, reference verification, and iterative refinement.
Search job boards via Kimi WebBridge for ANY role/keywords. Covers search patterns, query strategies, and authentication requirements across multiple platforms.