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Found 1,934 Skills
End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (monitoring and retraining).
Create and work with Meta SAM 3 (facebookresearch/sam3) for open-vocabulary image and video segmentation with text, point, box, and mask prompts. Use when setting up SAM3 environments, requesting Hugging Face checkpoint access, generating inference scripts, integrating SAM3 into Python apps, fine-tuning with sam3/train configs, running SA-Co or custom evaluations, or debugging CUDA/checkpoint/prompt pipeline issues.
Use when receiving code review feedback, processing PR comments, or needing to evaluate suggestions before implementing - requires technical verification not blind agreement
Generate or update tests for changed files in the current git branch, using statement coverage as the evaluation metric (target: 80%+). Use when: (1) the user asks to "write tests for my changes", "add tests for the current branch", or "improve coverage", (2) after implementing a feature to ensure adequate test coverage, (3) before a PR to verify changed code is tested. Supports Vitest and Cargo projects. Invoked with /test-generator or phrases like "generate tests", "test my changes", "cover the diff".
Use when evaluating AI tools and agentic workflows against workflow gaps, when conducting quarterly landscape scans, or when assessing integration feasibility of new tools for startup workflows.
Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics.
Microsoft/Bing Ads deep analysis covering search, Performance Max, Audience Network, and Copilot integration. Evaluates 20 checks with focus on Google import validation, unique Microsoft features, and cost advantage assessment. Use when user says "Microsoft Ads", "Bing Ads", "Bing PPC", "Copilot ads", or "Microsoft campaign".
Test pyramid and testing strategy — unit, integration, and end-to-end test ratios, mocking strategies, test isolation, and what to test. Reference when planning test coverage or evaluating test quality.
Identify growth loops (flywheels) for sustainable traction. Evaluates 5 loop types: Viral, Usage, Collaboration, User-Generated, and Referral. Use when designing growth mechanisms, building product-led traction, or understanding how growth loops work.
Use this skill any time the user wants financial analysis, earnings research, or investment-related reports. This includes: earnings call summaries, quarterly financial analysis, stock research, equity research reports, financial due diligence, company valuations, DCF models, balance sheet analysis, income statement breakdowns, cash flow analysis, SEC filing summaries, investor memos, portfolio analysis, IPO analysis, M&A research, and credit analysis. Also trigger when: user says 分析财报, 做个估值, 股票研究, 财务尽调, 现金流分析, 收入分析, 季度财务分析. If financial research or analysis is needed, use this skill.
Apply when reviewing or designing security-sensitive boundaries in VTEX IO apps. Covers public versus private exposure, trust assumptions at route and integration boundaries, sensitive data handling, validating what crosses the app boundary, and avoiding leakage across accounts, workspaces, users, or integrations. Use for route hardening, data exposure review, or evaluating whether a service boundary is too permissive.
Use historical analogies to inform strategic decisions by identifying structural similarities and differences between past and present situations. Use this skill when the user draws on historical precedent to justify a strategy, needs to evaluate whether a historical comparison is valid, or wants to learn from past events — even if they say 'this is like the dotcom bubble', 'history repeats itself', or 'what can we learn from how X handled this'.