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Found 1,144 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).
Transforms technical documents into rigorous learning journeys with collegiate-level mastery requirements. Uses Bloom's taxonomy progression, 80%+ mastery thresholds, and multi-level verification before advancing. Treats learning as a high school to college graduation progression. Use when user wants deep understanding, not surface familiarity.
Assesses and rates quality 0-10 with pros/cons analysis. Use when evaluating code, designs, or approaches.
Evaluates student code submissions based on conceptual mastery rather than just correctness. Use to provide high-quality educational feedback on architectural patterns and programming logic.
Audit test coverage for code changes. Identifies untested logic and provides specific test recommendations. Read-only analysis. Use before PR or after implementation. Triggers: review coverage, check tests, test coverage, are tests adequate.
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.
Finance: financial analysis, accounting, controlling, corporate development, M&A. Triggers: financial model, forecast, budget, accounting, journal entry, reconciliation, financial statements, audit, M&A, acquisition, due diligence, valuation.
Semantic versioning guidelines for software releases. Use when assigning version numbers, deciding between major/minor/patch bumps, managing unstable (0.x.x) software versions, evaluating breaking changes, or reviewing changelogs and release notes for correct semver compliance.
Plan and manage taxes effectively as a solopreneur to minimize liability and avoid penalties. Use when understanding tax obligations, quarterly estimated taxes, deductions, S-Corp election, or year-end tax strategy. Covers tax basics by entity type, estimated tax payments, deduction optimization, and when to hire a CPA. Not professional tax advice — consult a CPA for your specific situation. Trigger on "taxes", "tax planning", "quarterly taxes", "tax deductions", "S-Corp", "tax strategy", "estimated taxes", "reduce taxes".
Expert in commercial real estate lease agreements for industrial and office properties. Use when reviewing lease terms, negotiating base rent/operating expenses, analyzing tenant improvements and free rent, structuring net lease vs gross lease deals, evaluating renewal options, or advising on landlord/tenant rights. Key terms include base rent, operating expenses, proportionate share, TI allowance, net lease, triple net, lease economics, rent escalation, use clause, assignment restrictions, default remedies, Schedule G
Quality control metrics and filtering thresholds for protein design. Use this skill when: (1) Evaluating design quality for binding, expression, or structure, (2) Setting filtering thresholds for pLDDT, ipTM, PAE, (3) Checking sequence liabilities (cysteines, deamidation, polybasic clusters), (4) Creating multi-stage filtering pipelines, (5) Computing PyRosetta interface metrics (dG, SC, dSASA), (6) Checking biophysical properties (instability, GRAVY, pI), (7) Ranking designs with composite scoring. This skill provides research-backed thresholds from binder design competitions and published benchmarks.
Comprehensive GitOps methodology and principles skill for cloud-native operations. Use when (1) Designing GitOps architecture for Kubernetes deployments, (2) Implementing declarative infrastructure with Git as single source of truth, (3) Setting up continuous deployment pipelines with ArgoCD/Flux/Kargo, (4) Establishing branching strategies and repository structures, (5) Troubleshooting drift, sync failures, or reconciliation issues, (6) Evaluating GitOps tooling decisions, (7) Teaching or explaining GitOps concepts and best practices, (8) Deploying ArgoCD on Azure Arc-enabled Kubernetes or AKS with workload identity. Covers the 4 pillars of GitOps (OpenGitOps), patterns, anti-patterns, tooling ecosystem, Azure Arc integration, and operational guidance.