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Found 2,100 Skills
BISON v1.1 — Conviction holder for top 10 Hyperliquid assets by volume. Enters on 4h trend structure + 1h momentum + SM alignment convergence. Holds through pullbacks with DSL High Water Mode (mandatory). Re-evaluates thesis every 5 min — exits when conviction breaks, not when price retraces. Wide Phase 1 floors, no time-based exits, infinite trailing at 85% of peak. v1.1: daily entry cap only enforced when day PnL is negative. When profitable, reloads in batches of 3 — BISON keeps trading as long as it's making money.
Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models.
Documents the reasoning behind design decisions including alternatives considered, trade-offs evaluated, and principles applied. Use when making significant UX decisions, aligning with stakeholders on design direction, or preserving design context for future reference.
Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics (response quality, tool use, hallucination). Also use when provisioning online monitors for quality evaluation, or analyzing live metrics traffic footprints. NOTE: This skill currently only works for the Agent Runtime. Don't use for configuring general GCP alert policies or non-agent GCP alerting policies.
Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.
Use this skill when users need to stress test their business model, identify scale limitations, find bottlenecks, determine if they're trading time for money, or evaluate unit economics. Activates for "can this scale," "what breaks at 10x," or business model viability questions.
Convert a completed paper into presentation slides (Beamer LaTeX) or poster. Extract key figures, tables, equations, and create a narrative flow for oral presentation. Identified gap in existing tools — designed from best practices.
Use when the user needs to plan, de-risk, or ground a software engineering / computer science undergraduate thesis from a real codebase before final writing. Trigger for requests such as "根据项目写毕业论文", "先做论文大纲", "用真实项目材料规划论文", "检查论文是否脱离代码", "根据检测报告降查重", "根据AIGC报告改写定稿", "继续在手改初稿上改", or when an existing draft thesis must be reworked against a school format sample. Produces an evidence-backed outline, chapter rewrite plan, figure plan, and handoff package for academic-paper-composer.
Analyzes events through sociological lens using social structures, institutions, stratification, culture, norms, collective behavior, and multiple theoretical perspectives (functionalist, conflict, symbolic interactionist). Provides insights on social patterns, group dynamics, inequality, socialization, social change, and collective action. Use when: Social movements, inequality, cultural trends, group behavior, institutions, identity, social change. Evaluates: Social structures, power relations, inequality, norms, group dynamics, cultural patterns, social change.
Comprehensive Power BI data model design review prompt for evaluating model architecture, relationships, and optimization opportunities.
Mask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with a mask-prediction head for open-set segmentation guided by text prompts. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Mask-Grounding-DINO model. Trigger phrases include "train Mask Grounding DINO", "open-vocabulary segmentation", "text-prompted instance segmentation", "grounded mask DETR".
DSPy declarative framework for automatic prompt optimization treating prompts as code with systematic evaluation and compilers