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Discover AI Agent Skills
Find, share, and deploy reusable skills for your AI agents
npm i -g skhub
Use when managing and troubleshoot Alibaba Cloud ALB (Application Load Balancer), including the user asks to inspect, create, change, or debug ALB instances, listeners, server groups, rules, certificates, ACLs, security policies, or health checks in Alibaba Cloud.
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Drive a spec-first workflow for substantial features by writing PRODUCT.md before implementation, writing TECH.md when warranted, and keeping both specs updated as implementation evolves. Use when starting a significant feature, planning agent-driven implementation, or when the user wants product and tech specs checked into source control.
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Cloud object storage integration with AWS S3, Azure Blob Storage, and Google
Cloud Storage. Covers presigned URLs, multipart uploads, bucket policies,
lifecycle rules, and CDN integration.
USE WHEN: user mentions "S3", "blob storage", "cloud storage", "object storage",
"presigned URL", "file upload to cloud", "GCS", "Azure Blob", "bucket"
DO NOT USE FOR: local file uploads - use `file-upload`; database BLOB columns;
local filesystem operations
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高质量文章翻译技能，采用"分析→初译→审校→终稿"四步精翻工作流。仅支持中文↔英文、中文↔日文翻译。当用户明确提出"翻译"、"translate"、"精翻"、"翻訳"、"翻译文章"、"translate to Chinese/English/Japanese"、"改成中文"、"改成英文"、"改成日文"、"翻成中文"、"翻成日文"、"翻成英文"、"英译中"、"中译英"、"中译日"、"日译中"、"日本語に翻訳"、"中国語に翻訳"、"英語に翻訳"、"これを翻訳して"、"put this in Chinese"、"put this in English"、"put this in Japanese"、"convert to Chinese"、"convert to English"、"convert to Japanese"、"帮我翻一下"、"本地化"、"localize"、"这篇文章翻译一下"，或给出 URL/文件/正文并明确要求输出目标语言成稿时触发。不用于仅做摘要、解释、理解或整理的请求。若输入是 URL，优先使用 `curl -L` 请求 `r.jina.ai` 抓取正文 Markdown；抓取失败或正文不完整时必须直接停止并要求用户自行提供正文。
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Create an archival book-reader design system with serif-led pages, mono index navigation, aged paper surfaces, margin notes, and a premium catalog frame.
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Understanding security risks in software distribution and recognizing illegitimate software packages
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SIMD intrinsics skill for x86 (SSE/AVX) and ARM (NEON) vectorization. Use when reading auto-vectorization reports, writing SSE2/AVX2/NEON intrinsics, checking CPU feature flags at runtime, choosing between compiler builtins and raw intrinsics, or diagnosing why auto-vectorization failed. Activates on queries about SIMD, SSE2, AVX2, NEON, intrinsics, -fopt-info-vec, auto-vectorization, or vectorization failures.
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Use when setting up monorepo tooling, optimizing builds, or migrating between tools with Turborepo, Nx, Bazel, Lerna for efficient task running, caching, and code generation.
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Audit and validate Flux CD GitOps repositories by scanning local repo files (not live clusters) — runs Kubernetes schema validation, detects deprecated Flux APIs, reviews RBAC/multi-tenancy/secrets management, and produces a prioritized GitOps report. Use when users ask to audit, analyze, validate, review, or security-check a GitOps repo.
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NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.
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SpiritMe integration. Manage data, records, and automate workflows. Use when the user wants to interact with SpiritMe data.
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Understand and use notifications in Umbraco backoffice (foundational concept)
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Use this skill when you need to compare performance evidence across versions and assess regression risk; triggers include performance regression analysis.
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Use when facing complex reasoning tasks - multi-step math, logic puzzles, decisions with tradeoffs, problems where direct answers fail, or when you need to show your work. Triggers on arithmetic errors, shallow analysis, or "I'm not sure" hedging.
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Excel spreadsheet generation using openpyxl and xlsxwriter. Convert Claude output, data analysis results, and tabular data into formatted .xlsx files with charts, formulas, conditional formatting, and multiple sheets. Use for generating Excel reports programmatically.
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Use when the user asks to "grow my email list", "design a lead magnet / signup incentive", "set up double opt-in", or "plan a referral / recommendation loop"; produces a list-growth plan — acquisition channels, lead-magnet / incentive concepts, a compliant double-opt-in capture-flow spec, referral-loop mechanics, and subscriber-growth / cost-per-opt-in targets (labeled Estimated) — that feeds SEND-S (consent quality captured at acquisition) and SEND-N (lifecycle entry). Not for the signup page/popup UX itself — use landing-optimizer; not for recording the opt-in — use consent-registry; not for the confirmation-email copy — use email-creative-builder. 邮件列表增长/lead magnet/双重确认/推荐环
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Read from and write to the macOS clipboard using pbcopy and pbpaste commands.
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Posts review findings from a JSON file as inline comments on a GitHub Pull Request, attaching each comment to its file and line. Use when you have a list/JSON of review findings (each with a file path, line number, and a message such as summary/failure_scenario) and want them published on a PR as inline review comments. Triggers include "post these review comments on the PR", "associate comments to files in the PR", "publish review findings to PR
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