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Found 13,994 Skills
Shell script generation, review, and dialect conversion. Makefile and justfile generation. ShellCheck rules. Use for shell work. NOT for Python (python-conventions) or CI/CD (devops-engineer).
Use when safely auditing, organizing, deduplicating, renaming, archiving, offloading, or reclaiming storage on macOS file systems and cloud-drive folders. NOT for shell script generation, CI/CD, databases, or non-macOS platform cleanup.
Create, edit, migrate, check, and inspect just/justfile runners. Use when changing justfiles, migrating Makefile/npm scripts to just, linting house-style justfiles, or discovering via just --list/--show/--dump. NOT for shell scripts (shell-scripter), shell conventions (shell-conventions), CI YAML (devops-engineer), Make mtime builds, Compose, or mise.
Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.
AE Data Development and Operations: Data warehouse management, flow orchestration, IDE queries, and data integration
Diagnose and interpret AE/TE A/B experiments from configuration and report evidence through a defensible decision. Use when the user asks what an experiment means, whether it can roll out, why a result is not significant, why group sizes or exposure are wrong, why treatment results conflict, whether the report is trustworthy, or what to do next. Covers SRM, duration sufficiency, novelty effects, metric conflicts, missing or anomalous data, design reasonableness, data reliability, metric interpretation, trend and segment analysis, root-cause hypotheses, and rollout recommendations. All platform discovery and reads must use ae-cli.
Use this skill for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. Invoke whenever the user mentions OpenFold3 or needs protein, protein-ligand, protein-DNA/RNA, or multi-chain complex prediction with the hosted NVIDIA API or local Docker NIM. Covers endpoint choice, auth, request payloads, output artifacts, confidence scores, and local container setup.
Generate and serve rich HTML companions to markdown discovery documents: paired markdown→HTML rendering (marked + mermaid + data-driven cytoscape/plotly fenced blocks), a vendored draw.io stencil library (~AWS/GCP/Azure/K8s SVG icons) for composing custom architecture diagrams, an injectable design-tokens brandpack, and a reliable localhost server for HTML that pulls pinned CDN libraries. Use when turning a review/architecture/cost markdown doc into an interactive HTML view, when a diagram needs real cloud provider icons, when serving local HTML that file:// breaks, or when building a data-driven graph/chart view. Skip when the deliverable is plain mermaid-in-markdown authoring with no HTML companion, or a Python-rendered architecture diagram image.
Review or audit a design/UI across 6 weighted dimensions with Nielsen's 10 heuristics and a prioritized findings table. Use when the user wants a design critique, quality score, heuristic evaluation, or audit of an existing screen, page, or product before/after build.
Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.