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Found 10,789 Skills
Audits SQL migration files for destructive actions, potential table locks, and compatibility issues. Use before applying migrations to production databases to prevent downtime and ensure data integrity.
Write CLI scripts using the cyclopts framework. Use this skill when creating any command-line script or developer utility — place it in bin/ using cyclopts, not argparse, click, typer, or bare sys.argv.
Use when writing or reading GenVarLoader (gvl) datasets — preparing VCF/PGEN/SVAR variant sources with bcftools/plink2, calling gvl.write, configuring gvl.Dataset for haplotype/reference/annotated/variants output modes, attaching BigWig or Table tracks, setting up spliced haplotypes from a GTF, choosing track insertion-fill strategies for indels, or filtering variants by allele frequency.
Use whenever the user mentions LLM prompt/prefix cache misses, cached_tokens=0, cache_read_input_tokens/cache_creation_input_tokens, prompt_cache_key, cache_control/cachePoint placement, stable prefixes, tool/schema stability, TTFT/prefill latency, OpenAI/Claude/Bedrock/OpenRouter routing, vLLM/SGLang KV reuse, or LLM cost/speed regressions on repeated long prompts. Use when reviewing LLM request shape changes: prompt text, message order, request builders, tools, schemas, response_format, provider API surface, model/router settings, agent loop structure, context compaction, or inference deployment. Use for speeding up agents only when prompt-cache stability, TTFT, or cache cost is central. Do not use for generic prompt writing, generic RAG design, token counting, or non-LLM performance.
Use this skill when the user says "/li", or when the request is related to content creation but the intent is ambiguous and the user is unsure which tool to use. As the main entry point of the li Toolkit, it judges the intent and routes to the corresponding specialized skill. Do NOT trigger: When the user's request clearly matches a specific li-* skill (e.g., "write a script" → li-writer, "deepen a topic" → li-topic), directly trigger the corresponding skill instead of this entry. DO NOT trigger for non-content-creation tasks. Use when the user says "/li" or the intent is ambiguous across multiple li-* tools.
Every Tesla mobile-app feature, plus a charging-cost ledger and supercharger queue watcher no other Tesla CLI ships. Trigger phrases: `is my tesla ready`, `precondition my tesla`, `how much did i spend on charging this month`, `supercharger queue at`, `send this address to my tesla`, `list my tesla keys`, `use tesla`, `run tesla`.
Implements the Syncfusion Blazor Chart Wizard for guided chart creation. Use this when building interactive chart builders that require step-by-step configuration, data binding, and export features. Covers chart customization, theming, and accessibility.
Maps architectural components in a codebase and measures their size to identify what should be extracted first. Use when asking "how big is each module?", "what components do I have?", "which service is too large?", "analyze codebase structure", "size my monolith", or planning where to start decomposing. Do NOT use for runtime performance sizing or infrastructure capacity planning.
Forensic audit of the user's recent Claude Code sessions to surface step-change workflow improvements — not marginal ones. Use when the user asks to "audit my Claude Code sessions", "analyze how I use Claude Code", "find patterns in my usage", "improve my Claude Code workflow", "review my sessions", "find leverage in my setup", or wants to understand where their Claude Code setup is leaking time. Samples dozens of real transcripts, extracts quantitative signal via scripts, uses parallel subagents for deep reads, then synthesizes into a short prioritized report with drafted implementations (new skills, CLAUDE.md rules, hooks, settings diffs) that the user can install directly. Trigger even when the user doesn't say the word "audit" — if they're asking about improving or reviewing their Claude Code habits at scale, use this skill.
Handle iii engine and SDK errors across Node, Python, Rust, and browser workers. Use when interpreting error codes, retryability, RBAC denial, timeouts, handler failures, or SDK-specific exception surfaces.
Guardião da qualidade de stories e critérios de aceite no SynkOS. Use esta skill quando o usuário pedir para validar uma story antes da implementação, revisar critérios de aceite, aprovar ou rejeitar uma story para o sprint, verificar se o "definition of done" foi cumprido, ou fazer perguntas como "a story X está pronta para implementar?", "os critérios de aceite são testáveis?", "o escopo está claro?", "o que está IN e o que está OUT dessa story?". Ative também para refinar stories com escopo ambíguo, garantir rastreabilidade entre story e objetivo de produto, e para revisão pós-implementação contra os critérios originais.
Builds Moran's I spatial autocorrelation workflows in CARTO. Triggers when the user mentions spatial autocorrelation, Moran's I, spatial dependency, spatial correlation, spatial outliers, HH HL LH LL quadrants, high-high clusters, low-low clusters, spatial weight matrix, "is there clustering", "are values spatially correlated", local indicators of spatial association, LISA, spatial randomness test, or wants to determine whether a variable exhibits spatial clustering, dispersion, or randomness across a gridded dataset. Also relevant when the user needs to classify locations into cluster types (HH, HL, LH, LL) rather than just identifying hotspots and coldspots.