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Found 1,927 Skills
Visual ChangeNet for binary image classification and segmentation in AOI defect detection. Use when training, evaluating, exporting, or running inference for PCB defect detection or visual inspection, comparing image pairs for PASS/NO_PASS classification, or producing change-segmentation masks. Trigger phrases include "train Visual ChangeNet", "ChangeNet classify", "ChangeNet segment", "AOI defect detection", "PCB inspection model".
Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or running inference for a TAO metric-learning recognition model. Trigger phrases include "train metric learning", "ml-recog", "retrieval embeddings", "triplet loss recognition", "fine-grained matching".
Brev managed GPU instances with Docker support. Use when running TAO training, evaluation, or inference on Brev GPU instances, managing Brev deployments, or dispatching TAO jobs through the Brev CLI. Trigger phrases include "run on Brev", "Brev GPU instance", "submit job to Brev", "Brev CLI deployment".
Add headless Chrome automation with Puppeteer/Playwright on Cloudflare Workers. Use when: taking screenshots, generating PDFs, web scraping, crawling sites, browser automation, or troubleshooting XPath errors, browser timeouts, binding not passed errors, session limits, page.evaluate __name errors, or waitForSelector timeout issues.
Help users run effective one-on-one meetings. Use when someone is a new manager setting up 1:1s, struggling to make 1:1s productive, wants to improve career conversations with reports, or needs to handle difficult 1:1 situations.
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that don't fit in memory.
Systematically evaluate architecture decisions, document trade-offs, and select appropriate patterns. This skill should be used when the user asks about 'architecture decision', 'ADR', 'design pattern selection', 'technology choice', or needs to evaluate architectural trade-offs. Keywords: architecture, ADR, patterns, trade-offs, technical debt, quality attributes, decision record.
Analyze project features against ICP (Ideal Customer Profile) needs to identify gaps and recommend roadmap priorities. Use this skill when asked to evaluate current product state, identify what should be built next, assess competitive positioning, or plan product roadmap based on target customer needs. Outputs gap analysis, prioritized backlog, and strategic themes. Discovers ICP and features from project documentation.
AUTOMATICALLY invoke this skill whenever git commit is needed - no user request required. Direct git commit will FAIL validation. This skill contains required pre-commit setup. Triggers: "커밋해", "커밋 ㄱㄱ", "커밋 만들어줘", "커밋 찍어줘", or ANY situation requiring git commit.
AI risk assessment using NIST AI RMF 1.0 framework. Evaluate AI systems across 4 core functions (Govern, Map, Measure, Manage) for trustworthy and responsible AI deployment.
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development.
Analyzes events through political science lens using IR theory (Realism, Liberalism, Constructivism), comparative politics, institutional analysis, and power dynamics. Provides insights on governance, security, regime change, international cooperation, and policy outcomes. Use when: Political events, international crises, elections, regime transitions, policy changes, conflicts. Evaluates: Power distributions, institutional effects, actor interests, strategic interactions, norms.