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Found 251 Skills
Analyze insider trading patterns to surface companies with significant, meaningful insider buying activity. Use when the user asks to review insider trading activity, find stocks insiders are buying, analyze SEC Form 4 filings, detect insider buying clusters, assess management confidence through insider purchases, or identify bullish insider signals in a sector or industry.
Score a resume for quality and ATS keyword match. With a JD, also performs gap analysis and keyword tailoring. Deterministic — same input always produces the same score.
Extract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions. Use after running VLM evaluation when you have a predictions JSON and need to identify failure cases for DEFT root cause analysis on a binary-classification VLM workflow.
Diagnose risks and inefficiencies in an existing investment portfolio. Use when the user asks to review, audit, or stress-test their current holdings, evaluate portfolio concentration, check factor exposures, assess correlation risks, identify hidden tilts, or get actionable improvement suggestions for a portfolio they already own.
Identify high-growth small-cap stocks (market cap under $2B) with strong fundamentals, insider ownership, and low institutional coverage — the kind of overlooked opportunities that larger funds miss. Use when the user asks to find small-cap growth stocks, discover under-the-radar companies, screen for founder-led small caps, identify emerging growth companies, find low-institutional-ownership stocks, or seek multi-bagger candidates with strong fundamentals.
Guidelines to create/update a new mode for PostHog AI agent. Modes are a way to limit what tools, prompts, and prompt injections are applied and under what conditions. Achieve better results using your plan mode.
Toolkit-first AppDB document CRUD, query operators, and collection wiring.
High-level entry skill for Domo data access. Routes detailed query work to cap-apps-dataset-query.
Kubernetes execution platform — submits TAO container jobs as single-pod k8s Jobs with NVIDIA GPU scheduling. Use when running on EKS / GKE / AKS / on-prem clusters with the NVIDIA GPU Operator installed, or when integrating TAO into an existing k8s-native ML platform.
Runs the DEFT embed-then-mine workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds a source pool, and mines nearest-neighbour source images for downstream augmentation. Use as the immediate next step after `tao-route-visual-changenet-samples` when expanding a real-image augmentation queue from the mining subset.
Use this when deciding whether data belongs in Redux, component state, router state, or another external source. Covers state ownership, authority boundaries, slice sizing, and when to move or split data as the app evolves.