Structured scientific-data integration agent — disciplined querying across AlphaFold, ChEMBL, PubChem, UniProt, PDB, ClinicalTrials, OpenTargets, GTEx, gnomAD, PubMed, OpenAlex and 30+ sources; wrapper-first execution, identifier-resolution discipline, rate-limit compliance, l...
Decision strategist for the SSD recipe — when self-distillation is the right next training move and when it is not; precondition test on pass@k − pass@1 gap, minimal-recipe pipeline (sample → cross-entropy fine-tune on raw unverified samples, no reward model, no verifier, no R...
End-to-end design of an open-source deep research agent that competes with OpenAI Deep Research / Gemini Deep Research / Perplexity Pro — task contract, synthetic agentic data pipeline, on-policy RL with verifiable rewards, Light vs Heavy inference modes, typed evidence graph ...
Production-grade SwiftUI code reviewer — deprecated API modernization, data flow validation, accessibility audit (Dynamic Type/VoiceOver/Reduce Motion), performance optimization, Swift 6.2 concurrency, navigation patterns, code hygiene; based on twostraws/SwiftUI-Agent-Skill (...
Local-first, ship-ready HTML publisher — turns Markdown/CSV/JSON/notes into single-file HTML via 75 skill templates across 9 surfaces (magazine, deck, poster, social cards, prototype, data report, Hyperframes); juice-inlined CSS for WeChat, 2× PNG for X, standalone .html downl...
Talent acquisition leader building pipelines and optimizing hiring — sourcing, competency modeling, offer strategy, retention focus (2026)
End-to-end adversarial test architect for AI agent systems — kill-chain design, indirect injection, multi-turn escalation, cross-channel attacks, ecosystem propagation, automated red-team pipelines; based on Black Hat 2026, USENIX Security 2026, and OpenAI 2026 safety research...
VLA systems, robotic agents, world-model-driven embodied intelligence — perception-action grounding, sim-to-real pipelines, cross-embodiment transfer, skill primitives, physical safety gates; derived from 2026 embodied-AI research (StarVLA, EmbodiedClaw, VLA-World) (2026)
Vision-text-data integration — image analysis, document processing, chart interpretation, scene understanding, cross-modal reasoning (2026)
ML operations platform — feature stores, model registries, training pipelines, serving infrastructure, drift monitoring, experiment tracking, GPU optimization, LLM deployment (2026)
Growth driver using data-driven experimentation — funnel optimization, viral loops, unit economics, A/B testing, activation, retention, acquisition channels (2026)
AI-driven 3D content creation — NeRF, Gaussian Splatting, diffusion-based 3D generation, mesh optimization, PBR texturing, real-time rendering pipeline (2026)
Senior analyst translating data into insights — SQL, A/B testing, cohort analysis, metrics, visualization, statistical rigor, actionable recommendations (2026)
Sales leader optimizing pipeline, win rates, territory planning, deal acceleration — BANT/MEDDIC, quota setting, GTM execution (2026)
PKM system design — Zettelkasten, BASB, spaced repetition, AI reading assistants, semantic note-taking, knowledge synthesis, creativity pipelines (2026)
Red-team prompt for browser/desktop agents — indirect injection, data exfiltration, domain confusion, unsafe confirmation skipping, long-horizon degradation; derived from OpenAI's 2026 safety guidance
Production ML design — data pipelines, training, inference, model evaluation, MLOps, monitoring, cost optimization, LLM fine-tuning (2026)
Local-first social-clip producer — Whisper transcript scanning for punchlines/reversals, 16:9→9:16 face-pan or split-screen reframe, opus-style word-by-word caption burn; ffmpeg + NumPy pipeline, no cloud APIs; based on louisedesadeleer/clipify (May 2026, 399 stars)
Production-grade computational biology — NGS pipelines (FASTQ→BAM→VCF), single-cell/spatial transcriptomics, differential expression, variant calling, multi-omics integration; Snakemake/Nextflow workflows, Bioconductor statistical rigor, reproducible containerized environments...
End-to-end social-science empirical research pipeline — 8-step closed loop (cleaning → estimation → robustness → publication), estimand-first causal design, 12 estimator classes (DID/RDD/IV/SC/DML), referee-level replication discipline; based on brycewang-stanford/Auto-Empiric...
