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Found 1,665 Skills
Scaffold a LaTeX project (`latex/main.tex`, bibliography wiring, structure) from an existing Markdown draft and `citations/ref.bib`. **Trigger**: latex scaffold, md→tex, LaTeX 项目骨架, 生成 main.tex. **Use when**: 需要 LaTeX/PDF 交付（例如 arxiv-survey-latex pipeline），且 draft 已生成/已进入写作阶段。 **Skip if**: 还没有 `output/DRAFT.md`（或你不需要 LaTeX 交付）。 **Network**: none. **Guardrail**: 移除 markdown 残留（`##`, `**`, `[@...]`）；bibliography 指向 `citations/ref.bib`；不在此步骤改写内容。
Cache Playwright browser binaries in CI/CD pipelines (GitHub Actions, Azure DevOps) to avoid 1-2 minute download overhead on every build.
MongoDB development guidelines with Payload CMS, Mongoose, aggregation pipelines, and TypeScript best practices.
Secure 1Password CLI patterns for reading secrets, discovering vaults/items, and piping credentials to other tools. Use when reading from 1Password, rotating secrets, or piping credentials to wrangler/kubectl/etc. Triggers on op CLI, 1Password, secret rotation, or credential piping tasks.
Use when evaluating LLMs, running benchmarks like MMLU/HumanEval/GSM8K, setting up evaluation pipelines, or asking about "NeMo Evaluator", "LLM benchmarking", "model evaluation", "MMLU", "HumanEval", "GSM8K", "benchmark harnesses"
Use when building joi schemas, custom validators, extensions, or working with joi's validation pipeline. Covers all types, references, templates, errors, and the extension API.
Use when building revenue analytics on HubSpot — SQL warehouse queries, API enrichment pipelines, lead scoring models, pipeline forecasting, competitive intelligence. Triggers on "hubspot analytics", "revops dashboard", "lead scoring", "pipeline forecast", "ICP analysis", "hubspot SQL".
Generate production-ready monorepo structures for full-stack applications including frontends (Next.js, React), APIs (Hono, Express), and data pipelines. Use when creating new monorepo projects, scaffolding multi-project architectures (web apps, APIs, workers, CLI tools), setting up shared packages, or configuring workspace tooling with Bun, PNPM, or Yarn.
Expert data engineering covering data pipelines, ETL/ELT, data warehousing, streaming, and data quality.
Document chunking implementations and benchmarking tools for RAG pipelines including fixed-size, semantic, recursive, and sentence-based strategies. Use when implementing document processing, optimizing chunk sizes, comparing chunking approaches, benchmarking retrieval performance, or when user mentions chunking, text splitting, document segmentation, RAG optimization, or chunk evaluation.
Converts CLI output to JSON for structured processing and analysis. Use when parsing ps, dig, netstat, ls, or other command output into machine-readable format for piping to jq or scripts.
Prefect Flow Builder - Auto-activating skill for Data Pipelines. Triggers on: prefect flow builder, prefect flow builder Part of the Data Pipelines skill category.