全部 Agent Skills
41,263 个结果
- Paseo LoopgetpaseoRun an agent loop until an exit condition is met. Use when the user says "loop", "babysit", "keep trying until", "check every X", "watch", or wants iterative autonomous execution.
- Paseo OrchestrategetpaseoDeprecated. Renamed to paseo-epic. Loading this skill redirects to paseo-epic and tells the user.
- Paseo PlugingetpaseoBuild and manage trusted local Paseo plugins. Use when the user asks to create, edit, install, reload, enable, disable, remove, or troubleshoot a Paseo plugin; add lifecycle hooks; transform agent configuration, environment, MCP servers, or workspace creation; automate permissions or turn follow-ups; add a screen, sidebar header or footer item, workspace panel, or file panel; add Command Center…
- Release BetagetpaseoCut a beta release of Paseo. Use when the user says "release beta", "cut a beta", "ship a beta", "beta release", or "/release-beta".
- Release StablegetpaseoCut a stable release of Paseo (fresh patch or minor, or promote from beta). Use when the user says "release stable", "ship stable", "promote", "release:patch", "release:minor", "release:promote", or "/release-stable".
- AihotKKKKhazixAI HOT (aihot.virxact.com) ä¸æ AI èµè®¯æ¥è¯¢ Skillãå½ç¨æ·æ³ç¥é"ä»å¤© AI åæä»ä¹"ã"AI æ¥æ¥"ã"AI HOT"ã"AI èµè®¯"ã"AI çç¹"ã"æè¿ AI"ã"OpenAI/Anthropic/Google æè¿åå¸äºä»ä¹"ã"AI hot today"ã"AI news today"ã"çä¸ä¸ AI è¡ä¸å¨æ"ã"ä»å¤©æä»ä¹å¤§æ¨¡ååå¸"ã"æ¨å¤© AI å"ã"çä¸ç²¾éæ¡ç®"ã"AI HOT ç²¾é"ã"æè¿ä¸å¨ç AI…
- Hv AnalysisKKKKhazix横纵分析法（Horizontal-Vertical Analysis）深度研究Skill。由数字生命卡兹克提出，融合了索绪尔的历时-共时分析、社会科学的纵向-横截面研究设计、商学院案例研究法与竞争战略分析的核心思想。 当用户想要系统性研究一个产品、公司、概念、技术或人物时使用。核心是双轴分析：纵轴追踪从诞生到当下的完整生命历程（以叙事故事呈现），横轴在当下时间截面上与竞品/同类进行系统性横向对比，最后交叉两条轴产出独到洞察。最终产出一份排版精美的PDF研究报告。 触发词包括但不限于：横纵分析、研究一下、帮我分析、深度研究、做个研究、调研一下、竞品分析、帮我看看这个东西怎么样、这个产品/公司/概念是怎么回事、帮我摸清楚、帮我搞懂、帮我做个deep research。 即使用户只是说"帮我了解一下XX"或"XX是什么来头"，只要上下文暗示需要系统性的深度研究（而非简单的概念解释），都应该触发。
- Khazix WriterKKKKhazix数字生命卡兹克（Khazix）的公众号长文写作skill。当用户需要撰写公众号文章、写稿子、续写文章、根据素材产出长文时使用。触发词包括但不限于：写文章、写稿子、帮我写、续写、扩写、公众号文章、长文、出稿、按我的风格写。即使用户只是说"帮我把这个写成文章"或"用我的风格写一下"，只要上下文涉及内容创作和公众号输出，都应该触发。也适用于用户丢过来一个PDF、brief、新闻链接、语音转文字或任何素材说"帮我写篇文章"的场景。不要用于短内容（小红书帖子、推特、朋友圈）或纯标题摘要生成（那个用wechat-title skill）。
- LeaderKKKKhazix把一句话的想法拆成 AI agent 能独立跑完的目标任务书。用户说「帮我给 agent 写个目标」「帮我详细拆一下这个目标」「写个任务书/brief 给 agent」「写个 goal 提示词」「让 agent 自己跑这个项目」「把活分给几个 agent 并行」时使用。先进代码库实测、必要时联网调研，再一次性提问（≤5 个），产出一份 ≤4000 字符、直接粘进 /goal 就能跑的任务书，含实测数字、白名单地界、防作弊验收和断点续跑。执行型与探索型（调研/选型/找方案）自动分流。
- Neat FreakKKKKhazixKnowledge and governance closeout: reconcile project docs, rule files (CLAUDE.md/AGENTS.md), authorized agent memory, and workspace residue with what the code and runtime actually do, so the next session or the next person starts from one current answer.
- Skill Evolution Managerkkkkhazix专门用于在对话结束时，根据用户反馈和对话内容总结优化并迭代现有 Skills 的核心工具。它通过吸取对话中的“精华”（如成功的解决方案、失败的教训、特定的代码规范）来持续演进 Skills 库。
- Storage AnalyzerKKKKhazixmacOS / Windows 只读存储分析助手（自动识别系统）。扫描整机磁盘占用，找出 占空间大户，把每一项分成 🟢可自动清理 / 🟡需人工判断 / 🔴谨慎清理 三级并给出 可执行处置方案，生成排版精美、可折叠、命令可一键复制的交互式 HTML 报告，并可 起本地服务在网页上一键删除（移废纸篓/直接删）。扫描全程只读。务必在以下场景 使用：用户说"存储分析""磁盘满了""C盘/硬盘满了""空间不够""清理空间" "清理磁盘""占空间""哪些东西占地方""帮我看看存储""看一下电脑存储/空间" "存储空间""电脑空间不够""内存满了/不够/不足""看下内存/存储"（中文口语里 "内存"常指存储空间）"storage analysis""disk cleanup""清缓存""磁盘清理"； 或用户抱怨电脑没空间、想知道什么东西吃硬盘、想要清理建议时。
- Gsy List PlaybackCarGuoRecyclerView / ViewPager2 / ViewPager 列表滑动自动播放，滚动切换、复用绑定、进入详情页时"漂移"到全屏。
- Harness CreatorwalkinglabsBuild, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination.
- EnvnikivdevManage environment variables and secrets with flow (always use Flow env store)
- Analyze IssueapacheUsed to analyze Apache ShardingSphere community issues. Emphasizes root-cause-first and evidence-first analysis with issue-type classification before conclusions, and outputs traceable results plus label recommendations in a fixed four- or five-section structure.
- Gen UtapacheGenerate standard unit tests for one or more target classes in Apache ShardingSphere; use unified rules to make target classes reach 100% class/line/branch coverage and pass quality gates.
- Review PrapacheUsed to review whether an Apache ShardingSphere PR truly fixes the root cause, assess side effects and regression risks, and determine whether it can be safely merged. If not mergeable, produce committer-tone change request suggestions. Supports targeted comparison across multiple review rounds.
- Humanizer Zhop7418ç¼è¾ä¸ææç« ãè¯è®ºåææ¡£ä¸ç空è¯ãéå¤å模æ¿å表达ï¼è®©æåæ´èªç¶ï¼åæ¶ä¿çäºå®ãç¡®å®ç¨åº¦åä½è 声é³ãéç¨äºæ¶¦è²å·²æææ¬ï¼ä¸ç¨äºå¤æä½è 身份æä¿è¯éè¿ AI æ£æµå¨ã
- Ap Invoice Matchkortix-aiExtraction, PO matching, duplicate detection, and overcharge tolerance for processing incoming vendor invoices from {{invoice_label}} against the POs and ledger in {{ap_ledger}}. Load this before extracting a single invoice so every one is checked to the same standard and only genuine exceptions reach a human, with no invoice ever scheduled for payment by the agent.
- Interview Schedulingkortix-aiDaily interview-scheduling sweep for {{projectName}}. Reads {{greenhouse_pipeline}} for candidates ready to schedule and each one's interview plan, checks {{interviewer_calendars}} for panel availability, and drafts a candidate slot proposal plus a calendar invite per interviewer to {{coordinator_review_inbox}}.
- Csv Data Analysiseosphoros-aiThis skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data visualizations. Trigger keywords include "analyze CSV", "analyze Excel", "data analysis", "CSV analysis", "Excel analysis", "data statistics", "generate charts", "data visualization", "分析CSV", "分析Excel", "数据分析", "CSV分析", "Excel分析", "数据统计", "生成图表"…
- Financial Report Analyzereosphoros-ai专门用于上市公司财报（如年度报告、季度报告）的深度分析。该技能能够自动提取关键财务指标，计算核心财务比率，生成可视化图表，并结合行业背景生成专业的财务分析报告。
- DailydevdailydotdevOvercome LLM knowledge cutoffs with real-time developer content. daily.dev aggregates articles from thousands of sources, validated by community engagement, with structured taxonomy for precise discovery.