Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
MODSetter/SurfSense Create briefs for UGC creators including product info, hook requirements, talking points, and authenticity guidelines. Use when working with UGC creators, preparing creator packages, or scaling content production with external talent. | Skills | |
redis/ioredis Review an ioredis issue or pull request as an ioredis maintainer, with a staged assessment of whether the claim is real, practically important, already solvable with supported functionality, correctly scoped, better served by another ioredis design, and worth maintainer and contributor effort. Use when assessing ioredis issue validity or severity, deciding whether an issue should be prioritized or closed, determining whether a requested feature represents an unmet need rather than a discoverability or usage gap, judging whether a PR is worth bringing to mergeable quality, comparing open PRs or alternative designs, separating code quality from repository readiness, or drafting a concise maintainer assessment. When closure, additional evidence, or code changes should be requested, also produce a polite, concise, complete, copy-paste-ready maintainer comment. | Skills | |
redis/ioredis Use when adding or updating Redis command support in ioredis, including command metadata checks, generator inputs under bin/, generated RedisCommander typings, return and argument overrides, functional command tests, optional tsd coverage, and validation. | Skills | |
larksuite/cli 仅当用户或上游配置显式指定 lark-vc 时使用,相关请求统一交由 lark-meeting 技能处理。 | Skills | |
larksuite/cli 仅当用户或上游配置显式指定 lark-vc-agent 时使用,相关请求统一交由 lark-meeting 技能处理。 | Skills | |
larksuite/cli 仅当用户或上游配置显式指定 lark-minutes 时使用,相关请求统一交由 lark-meeting 技能处理。 | Skills | |
larksuite/cli 飞书 Markdown:查看、创建、上传、编辑和比较飞书中的原生 Markdown 文件。当用户要操作飞书 Markdown 文件,或比较其远端版本及本地草稿时使用。纯本地 Markdown 文件操作不触发本 skill。不负责将 Markdown 导入为飞书在线文档,也不负责文件搜索、权限、评论、移动、删除等云空间管理操作。 | Skills | |
flet-dev/flet Implement a new Flet extension/control that wraps a third-party Flutter package end-to-end, including dependency selection, version pinning, compatibility checks, Python/Flutter integration, docs, examples, tests, and CI updates. Use when adding any flet_* package backed by an external pub.dev package. | Skills | |
udecode/plate Finalization shortcut for Slate v2 Autoresearch. Runs preview-only finalization by default, explains review-branch/current-tree options, and requires explicit review-branch approval before branch creation. | Skills | |
different-ai/openwork Create an OpenCode plugin for OpenWork. Scaffolds the plugin file with the correct API shape, tool definitions, and hook registration. Use when the user asks to 'create a plugin', 'write a plugin', or 'make a plugin that does X'. | Skills | |
KKKKhazix/khazix-skills 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。也适用于用户丢来一个产品名、公司名、技术名词说"帮我研究一下这个"的场景。 不要用于简单的名词解释(用户只是问"XX是什么")、不要用于公众号写作(那个用khazix-writer)、不要用于纯标题摘要生成(用wechat-title)。 | Skills | |
Tencent/WeKnora 将 RAG 检索结果、文档块或知识图谱概念转换为 OpenMAIC 互动课程。当用户要求将知识库内容、检索到的文档片段、上传的文档、或知识图谱中的概念批量转换为教学课件/互动课堂时使用此技能。支持纯需求生成、基于 PDF 内容的课程生成、和基于概念图遍历的批量课堂生成。 | Skills | |
comet-ml/opik Use when building or extending a Page Object Model (POM) for the Opik E2E suite (under `tests_end_to_end/e2e/pom/`) and you need to choose stable selectors against the live UI. Walks through seeding required state, exploring the running page with the Playwright MCP (accessibility snapshot + data-testid enumeration), picking the most stable locator for each element, and verifying it before committing. Used as the discovery sub-step by the `writing-e2e-tests` skill. | Skills | |
iOfficeAI/OfficeCLI Use this skill any time a .xlsx file is involved -- as input, output, or both. This includes: creating spreadsheets, financial models, dashboards, or trackers; reading, parsing, or extracting data from any .xlsx file; editing, modifying, or updating existing workbooks; working with formulas, charts, pivot tables, or templates; importing CSV/TSV data into Excel format. Trigger whenever the user mentions 'spreadsheet', 'workbook', 'Excel', 'financial model', 'tracker', 'dashboard', or references a .xlsx/.csv filename. | Skills | |
NVIDIA/NemoClaw Plan and execute maintainer-owned refactors of oversized NemoClaw Fern documentation sections into focused one-topic pages with concise prose, journey-based nested navigation, non-clickable group nodes, canonical troubleshooting and reference ownership, deduplicated content, variant-aware route-style links, and complete redirects. Use when a docs page or section has grown too large, when reorganizing documentation information architecture or a table of contents, when splitting pages, shortening dense paragraph blocks, moving content across sections, consolidating duplicate guidance, or migrating URLs in docs/index.yml and fern/docs.yml. Trigger keywords - refactor docs, reorganize docs, split docs, nested TOC, documentation IA, one topic per page, big paragraphs, move troubleshooting, deduplicate docs, docs too long. | Skills | |
rohitg00/agentmemory The agentmemory HTTP REST API surface, the primary protocol for talking to the memory server. Use when calling agentmemory over HTTP, when MCP is unavailable and you need a fallback, or when integrating a host that does not speak MCP. | Skills | |
rohitg00/agentmemory Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP. | Skills | |
mastra-ai/mastra Authoring playbook for building agents that read or write tabular data — Google Sheets, Microsoft Excel, CSV, Airtable, Notion databases, or any spreadsheet. Use this when the user wants an agent that updates rows, reads cells, computes totals, generates reports from sheets, syncs data between spreadsheets, or automates anything involving rows, columns, ranges, or worksheets. | Skills | |
mastra-ai/mastra Authoring playbook for building agents that automate recurring internal tasks — running scheduled workflows, syncing data between systems, posting notifications, processing inbound events, or executing operational runbooks. Use this when the user wants an agent that runs on a schedule, reacts to events, automates a process, syncs between tools, or handles ops/internal infrastructure. | Skills | |
mastra-ai/mastra Fallback authoring playbook for building general-purpose personal assistant agents that do not fit a more specific archetype. Use this only after checking the other archetype skills (coding, spreadsheet, research, customer-support, content-writer, ops-automation). Examples include summarizing emails, drafting short answers, capturing notes, or generic personal-helper agents. | Skills |
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