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Tools & Automation
CLI tools, utilities, converters, workflow automation, and productivity helpers
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Showing 9,289–9,312 of 47,645 skills
- Case Research中国财税法律案例与法规检索助手。当用户需要检索税务相关判例、行政复议决定、税收法规政策、国家税务总局公告、各地税务实践案例，或需要查找类似税务争议案例时，应使用本 Skill。适用于税务争议应对、税务筹划合规性验证、法律研究等场景。Votes: 0GitHub stars: 2
- Campaign Planning提供活动策划的可落地指南与SOP。在开展活动策划相关工作时调用。Votes: 0GitHub stars: 2
- Applicant Screening Zh简历筛选 / 招聘筛选 / 候选人评估 / resume screening / applicant screening。HR招聘经理、人力资源专员、猎头顾问的核心筛选工具，快速对标岗位要求进行结构化打分与排名。支持批量处理校招/社招/猎头推荐，设定必要条件与加分项，自动生成候选人对比表与面试优先级。场景覆盖：简历初筛、人才盘点、岗位匹配度分析、候选人评分、面试邀约排序。用户常搜：怎样快速筛选简历、批量评估候选人、简历打分排名、招聘初筛工具、人才评估系统、候选人对比、校招筛选、面试优先级。Votes: 0GitHub stars: 2
- Alzheimer Care专为阿尔茨海默症患者及家人照护者设计的日常管理辅助工具。提供疾病认知、日常照护指导、安全管理、沟通技巧、行为管理、照护者支持、医疗资源对接。不诊断、不开药、不推荐产品，只做科普知识、日常照护工具、经验分享和就医指导。帮助照护者科学照护，提升患者生活质量，减轻照护负担。Votes: 0GitHub stars: 2
- Ai Video Clipper全自动AI视频剪辑Skill。当用户请求以下操作时触发： - "帮我剪辑视频"、"自动剪辑"、"AI剪辑视频" - "剪辑电影素材"、"批量剪辑视频"、"自动生成视频" - "视频素材自动处理"、"从素材自动生成成片" - "制作短剧集"、"剪辑短视频"、"自动导出视频" - "素材自动导入"、"视频自动添加字幕"、"自动添加背景音乐" - "视频自动转场"、"特效自动添加"、"滤镜自动匹配" - 任何涉及视频剪辑、素材处理、自动成片生成的需求Votes: 0GitHub stars: 2
- Agent BrowserBrowser automation through the repo agent-browser CLI. Explicit helper for navigation, forms, screenshots, scraping, and web-app checks. Prefer Browser Use or Playwright when available. Do NOT load for: sharing URLs, embedding links, or editing screenshot files.Votes: 0GitHub stars: 2
- Afrexai Training ProgramEmployee Training Program Builder skill. Afrexai Training Program skillVotes: 0GitHub stars: 2
- Academic Citation ManagerAdd real references and standardize citations for research papers and theses (为科研论文和毕业论文添加真实参考文献并规范引用标注)Votes: 0GitHub stars: 2
- A Share Risk AlertA股风险预警/ST预警/退市风险排查。当用户说"风险预警"、"有没有风险"、"会不会ST"、"退市风险"、"爆雷"、"暴雷"、"风险排查"、"XX安全吗"、"财务造假"、"审计意见"时触发。基于Votes: 0GitHub stars: 2
- 1688 Trend Trader1688 爆款操盘手是一款全栈式供应链 Agent，模拟资深买手加运营主管工作流，实现选、找、谈三步走。 触发场景：用户需要跨境或内贸供应链选品、1688找工厂、生成询盘话术、利润核算。Votes: 0GitHub stars: 2
- Toolchain PreflightBeginner-friendly workflow for On-demand toolchain checks for adb, Frida, JADX, IDA, Ghidra, Python, Capstone, Unicorn, and device state. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Syscall Filter EvidenceBeginner-friendly workflow for System-call filter evidence collection for signals, exits, memory mapping, direct syscalls, and attribution. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Syscall Ebpf Frida CorrelationBeginner-friendly workflow for Correlate syscall/eBPF observations with Frida hooks, native stacks, threads, and memory maps. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Runtime Crypto BoundaryBeginner-friendly workflow for Runtime plaintext/ciphertext boundaries across Java, native, WebCrypto, TLS, and serialization layers. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Reverse Validation ChecklistsBeginner-friendly workflow for Cold-start, warm-start, repeated-run, version, clean-baseline, and artifact regression checklists. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Reverse Artifact ManifestBeginner-friendly workflow for Manifest for samples, scripts, binaries, dumps, patches, hashes, tool versions, and provenance. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Packed So Elf RebuildBeginner-friendly workflow for Packed SO/ELF runtime mapping, section recovery, relocations, imports, and rebuild validation. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Native Crash Signal AttributionBeginner-friendly workflow for SIGKILL, SIGSEGV, SIGTRAP, SIGABRT, BRK, exit, and fatal-path attribution. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Memdumper Artifact ValidationBeginner-friendly workflow for Memory dumper output validation, section recovery, mappings, imports, relocations, and consumer-tool checks. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Linker Namespace AnalysisBeginner-friendly workflow for Android linker namespaces, library search paths, isolated namespaces, dlopen, and dependency loading. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Jni Registration RecoveryBeginner-friendly workflow for JNI_OnLoad, RegisterNatives, dynamic method tables, symbol recovery, and Java/native mapping. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Ida Inp ExportBeginner-friendly workflow for IDA project export, function-range extraction, naming, type propagation, xrefs, and machine-readable artifacts. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Hidden Rx Memory ReconstructionBeginner-friendly workflow for Executable anonymous mappings, memfd, JIT pages, decrypted code, and runtime reconstruction. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271
- Ecapture Network ObservationBeginner-friendly workflow for Kernel-assisted network observation, TLS boundary evidence, process attribution, and capture validation. Extracts general methods and evidence practices without depending on any author, private repository, personal path, secret, or branded prompt. Use when a reverse-engineering task needs reliable observation, loader analysis, runtime evidence, dump validation, crash attribution, tool setup, or reproducible reporting.Votes: 0GitHub stars: 271