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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 51 | lark-sheets | larksuite/cli |
sheets (v3) CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 快速决策 按标题或关键词找云空间里的表格文件,先用 lark-cli docs +search 。 docs +search 会直接返回 SHEET 结果,不要把它误解成只能搜文档 / Wiki。 已知 spreadsheet URL / token 后,再进入 sheets +info 、 sheets +read 、 sheets +find 等对象内部操作。 核心概念 文档类型与 Token 飞书开放平台中,不同类型的文档有不同的 URL 格式和 Token 处理方式。在进行文档操作(如添加评论、下载文件等)时,必须先获取正确的 file_token 。 文档 URL 格式与 Token 处理 URL 格式 示例 Token 类型 处理方式 /docx/ https://example.larksuite.com/docx/doxcnxxxxxxxxx file_token URL 路径中的 token 直接作为 fi...
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416.6K |
| 52 | lark-whiteboard | larksuite/cli |
[!IMPORTANT] 执行前检查环境 : 运行 whiteboard-cli --version ,确认版本为 0.2.x ;未安装或版本不符 → npm install -g @larksuite/whiteboard-cli@^0.2.0 运行 lark-cli --version ,确认可用。 执行任何 npm install 前, 必须征得用户同意 。 CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 快速决策 用户需求 行动 查看画板内容 / 导出图片 +query --output_as image 获取画板的 Mermaid/PlantUML 代码 +query --output_as code 检查画板是否由代码绘制 +query --output_as code 修改节点文字/颜色(简单改动) +query --output_as raw → 手动改 JSON → +update --input_format raw 用户 已提供 Mermaid/PlantUML 代码,或明...
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416.1K |
| 53 | lark-task | larksuite/cli |
task (v2) CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 任务搜索技巧 :先区分用户是否 特地指定使用搜索 skill ,以及是否真的提供了 查询关键字 (例如任务名称、关键词、片段描述)。如果用户特地指定使用搜索 skill,或明确给出了任务查询关键字,则目标是 任务 时优先使用 +search 。如果用户没有特地指定使用搜索 skill,且意图里没有查询关键字,只有范围条件(例如“今年以来”“已完成”“由我创建”“我关注的”),并且使用 +search 与 +get-related-tasks / +get-my-tasks 都能达到目的时,应优先使用列表型能力,而不是搜索型能力。其中,“与我相关 / 我关注的 / 由我创建”等优先考虑 +get-related-tasks ;“我负责的 / 分配给我”的列表优先考虑 +get-my-tasks 。不要把时间范围词(例如“今年以来”)本身误当成 query 去走搜索。 任务清单搜索技巧 :任务清单也遵循同样的判断逻辑。先区分用户是否...
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415.8K |
| 54 | lark-calendar | larksuite/cli |
calendar (v4) CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 CRITICAL — 所有的 Shortcuts 在执行之前,务必先使用 Read 工具读取其对应的说明文档,禁止直接盲目调用命令。 CRITICAL — 凡涉及【预约日程/会议】或【查询/搜索会议室】,第一步 MUST 强制使用 Read 工具读取 references/lark-calendar-schedule-meeting.md 。禁止跳过此步直接调用 API 或 Shortcut! CRITICAL — 术语约束:用户日常表达中常说的“帮我约个日历”、“查一下今天的日历”等,其实际意图通常是针对 日程(Event) 的创建或查询,而非操作 日历(Calendar) 容器本身。请自动将口语化的“日历”意图映射为“日程”操作(如 +create , +agenda )。 CRITICAL — 会议与日程的意图路由: 查询过去时间的会议 :如果用户明确查询过去时间的会议(如“昨天的会议”、“上周的会议”), 优先使...
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415.1K |
| 55 | lark-mail | larksuite/cli |
mail (v1) CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 核心概念 邮件(Message) :一封具体的邮件,包含发件人、收件人、主题、正文(纯文本/HTML)、附件。每封邮件有唯一 message_id 。 会话(Thread) :同一主题的邮件链,包含原始邮件和所有回复/转发。通过 thread_id 关联。 草稿(Draft) :未发送的邮件。所有发送类命令默认保存为草稿,加 --confirm-send 才实际发送。 文件夹(Folder) :邮件的组织容器。内置文件夹: INBOX 、 SENT 、 DRAFT 、 SCHEDULED 、 TRASH 、 SPAM 、 ARCHIVED ,也可自定义。 标签(Label) :邮件的分类标记,内置标签如 FLAGGED (星标)。一封邮件可有多个标签。 附件(Attachment) :分为普通附件和内嵌图片(inline,通过 CID 引用)。 收信规则(Rule) :自动处理收到的邮件的规则。可设置匹配条件(发件人、主题、收件...
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413.8K |
| 56 | lark-minutes | larksuite/cli |
minutes (v1) CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 核心概念 妙记(Minutes) :来源于飞书视频会议的录制产物或用户上传的音视频文件,通过 minute_token 标识。 妙记 Token(minute_token) :妙记的唯一标识符,可从妙记 URL 末尾提取(例如 https://*.feishu.cn/minutes/obcnq3b9jl72l83w4f14xxxx 中的 obcnq3b9jl72l83w4f14xxxx )。如果 URL 中包含额外参数(如 ?xxx ),应截取路径最后一段。 核心场景 1. 搜索妙记 当用户描述的是"我的妙记""包含某个关键词的妙记""某段时间内的妙记",优先使用 minutes +search 。 仅支持使用关键词、时间段、参与者、所有者等筛选条件搜索妙记记录,对于不支持的筛选条件,需要提示用户。 搜索结果存在多条数据时,务必注意分页数据获取,不要遗漏任何妙记记录。 如果是会议的妙记,应优先使用 vc +search 先...
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413.7K |
| 57 | lark-vc | larksuite/cli |
vc (v1) CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 核心概念 视频会议(Meeting) :飞书视频会议实例,通过 meeting_id 标识。 会议记录(Meeting Record) :视频会议结束后生成的记录,支持通过关键词、时间段、参会人、组织者、会议室等筛选条件搜索会议室。 会议纪要(Note) :视频会议结束后生成的结构化文档,包含纪要文档(包含总结、待办、章节)和逐字稿文档。 妙记(Minutes) :来源于飞书视频会议的录制产物或用户上传的音视频文件,支持视频/音频的转写和会议纪要,通过 minute_token 标识。 纪要文档(MainDoc) :AI 智能纪要的主文档,包含 AI 生成的总结和待办,对应 note_doc_token 。 用户会议纪要(MeetingNotes) :用户主动绑定到会议的纪要文档,对应 meeting_notes 。仅通过 --calendar-event-ids 路径返回。 逐字稿(VerbatimDoc) :会议的逐句文字记录,...
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413.6K |
| 58 | lark-event | larksuite/cli |
event (v1) 前置条件: 先阅读 ../lark-shared/SKILL.md 了解认证、权限处理和安全规则。 Shortcuts(推荐优先使用) Shortcut 是对常用操作的高级封装( lark-cli event +<verb> [flags] )。有 Shortcut 的操作优先使用。 Shortcut 说明 +subscribe Subscribe to Lark events via WebSocket long connection (read-only, NDJSON output); bot-only; supports compact agent-friendly format, regex routing, file output
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413.4K |
| 59 | lark-contact | larksuite/cli |
contact (v1) CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 Shortcuts(推荐优先使用) Shortcut 是对常用操作的高级封装( lark-cli contact +<verb> [flags] )。有 Shortcut 的操作优先使用。 Shortcut 说明 +search-user Search users (results sorted by relevance) +get-user Get user info (omit user_id for self; provide user_id for specific user)
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413.1K |
| 60 | lark-workflow-meeting-summary | larksuite/cli |
会议纪要汇总工作流 CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 。然后阅读 ../lark-vc/SKILL.md ,了解会议纪要相关操作。 适用场景 "帮我整理这周的会议纪要" / "总结最近的会议" / "生成会议周报" "看看今天开了哪些会" / "回顾过去一周开了哪些会" 前置条件 仅支持 user 身份 。执行前确保已授权: lark-cli auth login --domain vc 基础(查询+纪要) lark-cli auth login --domain vc,drive 含读取纪要文档正文、生成文档 工作流 {时间范围} ─► vc +search ──► 会议列表 (meeting_ids) │ ▼ vc +notes ──► 纪要文档 tokens │ ▼ drive metas batch_query 纪要元数据 │ ▼ 结构化报告 Step 1: 确定时间范围 默认 过去 7 天 。推断规则:"今天"→当天,"这周"→本周一 now,"上周"→上周一 上周日...
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412.7K |
| 61 | lark-workflow-standup-report | larksuite/cli |
日程待办摘要工作流 CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 适用场景 "今天有什么安排" / "今天的日程和待办" "明天有什么会" / "明日日程与未完成任务" "帮我看看今天要做什么" / "早报摘要" "开工摘要" / "standup report" "这周还有哪些安排" 前置条件 仅支持 user 身份 。执行前确保已授权: lark-cli auth login --domain calendar,task 工作流 {date} ─┬─► calendar +agenda [--start/--end] ──► 日程列表(会议/事件) └─► task +get-my-tasks [--due-end] ──► 未完成待办列表 │ ▼ AI 汇总(时间转换 + 冲突检测 + 排序)──► 摘要 Step 1: 获取日程 今天(默认,无需额外参数) lark-cli calendar +agenda 指定日期范围(必须使用 ISO 8601 格式,不支持 "tomor...
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412.1K |
| 62 | lark-openapi-explorer | larksuite/cli |
OpenAPI Explorer 前置条件: 先阅读 ../lark-shared/SKILL.md 了解认证、身份切换和安全规则。 当用户的需求 无法被现有 skill 或 CLI 已注册 API 覆盖 时,使用本技能从飞书官方 markdown 文档库中逐层挖掘原生 OpenAPI 接口,然后通过 lark-cli api 裸调完成任务。 文档库结构 飞书 OpenAPI 文档以 markdown 层级组织: llms.txt ← 顶层索引,列出所有模块文档链接 └─ llms-<module>.txt ← 模块文档,包含功能概述 + 底层 API 文档链接 └─ <api-doc>.md ← 单个 API 的完整说明(方法/路径/参数/响应/错误码) 文档入口: 品牌 入口 URL 飞书 (Feishu) https://open.feishu.cn/llms.txt Lark https://open.larksuite.com/llms.txt 所有文档以 中文 编写。如果用户使用英...
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411.8K |
| 63 | lark-skill-maker | larksuite/cli |
Skill Maker 基于 lark-cli 创建新 Skill。Skill = 一份 SKILL.md ,教 AI 用 CLI 命令完成任务。 CLI 核心能力 lark-cli < service > < resource > < method > 已注册 API lark-cli < service > + < verb > Shortcut(高级封装) lark-cli api < METHOD > < path > [ --data/--params ] 任意飞书 OpenAPI lark-cli schema < service.resource.method > 查参数定义 优先级:Shortcut > 已注册 API > api 裸调。 调研 API 1. 查看已有的 API 资源和 Shortcut lark-cli < service > --help 2. 查参数定义 lark-cli schema < service.resource.method > 3. 未注册的 API,用 api 直接调用 lark-cli api GET /open-a...
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411.6K |
| 64 | ask-matt | mattpocock/skills |
Ask Matt You don't remember every skill, so ask. A flow is a path through the skills. Most paths run along one main flow , and two on-ramps merge onto it. Everything else is standalone. The main flow: idea → ship The route most work travels. You have an idea and want it built. /grill-with-docs — sharpen the idea by interview. Start here when you have a codebase : it's stateful, retaining what it learns in CONTEXT.md and ADRs. (No codebase? Use /grill-me — see Standalone.) Branch — can you settle...
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410.1K |
| 65 | video-edit | prime-skills/runcomfy-agent-skills |
Video Edit — Pro Pack on RunComfy runcomfy.com · Wan 2.7 Edit-Video · Kling Motion-Control Pro · Lucy Edit Restyle · GitHub Video edit, intent-routed. This skill doesn't lock you to one model — it picks the right video-edit model in the RunComfy catalog based on what the user actually wants: general restyle, motion transfer from a reference clip, or lightweight identity-stable outfit / background swap. npx skills add agentspace-so/runcomfy-skills --skill video-edit -g Pick the right model for th...
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407K |
| 66 | azure-quotas | microsoft/azure-skills |
Azure Quotas - Service Limits & Capacity Management AUTHORITATIVE GUIDANCE — Follow these instructions exactly for quota management and capacity validation. Overview What are Azure Quotas? Azure quotas (also called service limits) are the maximum number of resources you can deploy in a subscription. Quotas: Prevent accidental over-provisioning Ensure fair resource distribution across Azure Represent available capacity in each region Can be increased (adjustable quotas) or are fixed (non-adjustab...
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405.7K |
| 67 | image-to-video | prime-skills/runcomfy-agent-skills |
Image-to-Video — Pro Pack on RunComfy runcomfy.com · HappyHorse I2V · Wan 2.7 · Seedance 2.0 Pro · GitHub Image-to-video, intent-routed. This skill doesn't lock you to one model — it picks the right i2v model in the RunComfy catalog based on what the user actually wants: portrait animation, custom-voiceover lip-sync, or multi-modal composition. npx skills add agentspace-so/runcomfy-skills --skill image-to-video -g Pick the right model for the user's intent Show more Installs 1.2K Repository prim...
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405.5K |
| 68 | nano-banana-2 | prime-skills/runcomfy-agent-skills |
Nano Banana 2 — Pro Pack on RunComfy runcomfy.com · Model page · GitHub Google Nano Banana 2 — the flash-tier text-to-image model in the Gemini family — hosted on the RunComfy Model API . Optimized for ideation, social-thumbnail batches, and rapid drafts with strong in-image typography. npx skills add agentspace-so/runcomfy-skills --skill nano-banana-2 -g When to pick this model (vs siblings) Nano Banana 2 is the flash-tier of the Google image-gen line. Pick it when iteration speed and predictab...
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405.2K |
| 69 | nano-banana-edit | prime-skills/runcomfy-agent-skills |
Nano Banana Edit — Pro Pack on RunComfy runcomfy.com · Edit endpoint · GitHub Google Nano Banana 2 Edit — the image-to-image edit endpoint of the Gemini-family flash-tier image model — hosted on the RunComfy Model API . Up to 20 input images per call for batch edits and multi-reference variation. npx skills add agentspace-so/runcomfy-skills --skill nano-banana-edit -g When to pick this model (vs siblings) Show more Installs 977 Repository prime-skills/ru…t-skills GitHub Stars 31 First Seen Jul 1...
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404.9K |
| 70 | image-edit | prime-skills/runcomfy-agent-skills |
Image Edit — Pro Pack on RunComfy runcomfy.com · Nano Banana Edit · GPT Image 2 Edit · Flux Kontext · Z-Image Inpaint · GitHub Image edit, intent-routed. This skill doesn't lock you to one model — it picks the right edit model in the RunComfy catalog based on what the user actually wants: batch identity-preservation, multilingual text rewrite, single-shot precise edit, or mask-driven region replacement. npx skills add agentspace-so/runcomfy-skills --skill image-edit -g Pick the right model for t...
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404.8K |
| 71 | flux-kontext | prime-skills/runcomfy-agent-skills |
Flux Kontext Pro — Pro Pack on RunComfy runcomfy.com · Model page · GitHub Black Forest Labs' Flux 1 Kontext Pro — single-reference precise local image edit — hosted on the RunComfy Model API . Strong prompt control, consistent outputs, high fidelity. npx skills add agentspace-so/runcomfy-skills --skill flux-kontext -g When to pick this model (vs siblings) You want Use Single-image precise local edit ("she's now holding X") Flux Kontext High-fidelity preservation of source identity Flux Kontext ...
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404.7K |
| 72 | wan-2-7 | prime-skills/runcomfy-agent-skills |
Wan 2.7 — Pro Pack on RunComfy runcomfy.com · Text-to-video · GitHub Wan-AI's Wan 2.7 — flagship video model with multi-reference conditioning and audio-driven lip-sync — hosted on the RunComfy Model API . npx skills add agentspace-so/runcomfy-skills --skill wan-2-7 -g When to pick this model (vs siblings) Show more Installs 977 Repository prime-skills/ru…t-skills GitHub Stars 31 First Seen Jul 13, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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404.1K |
| 73 | gpt-image-edit | prime-skills/runcomfy-agent-skills |
GPT Image Edit — Pro Pack on RunComfy runcomfy.com · Edit endpoint · Text-to-image sibling · GitHub OpenAI GPT Image 2 — /edit endpoint (ChatGPT Images 2.0 image-to-image) on the RunComfy Model API . Strongest in its class at preserving identity through targeted edits and rewriting embedded text in any script (Latin, kana, CJK, Cyrillic, Arabic). npx skills add agentspace-so/runcomfy-skills --skill gpt-image-edit -g When to pick this model (vs siblings) Show more Installs 977 Repository prime-sk...
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404K |
| 74 | seedance-v2 | prime-skills/runcomfy-agent-skills |
Seedance 2.0 Pro — Pro Pack on RunComfy runcomfy.com · Seedance 2.0 Pro · GitHub ByteDance Seedance 2.0 Pro — multimodal cinematic video generator with native lip-synced audio — hosted on the RunComfy Model API . npx skills add agentspace-so/runcomfy-skills --skill seedance-v2 -g When to pick this model (vs siblings) Seedance 2.0 Pro's distinct strength is multi-modal cinematic short-form : combine character images + scene videos + reference audio into one coherent shot. Pick it when fidelity to...
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403.9K |
| 75 | happyhorse-1-0 | prime-skills/runcomfy-agent-skills |
HappyHorse 1.0 — Pro Pack on RunComfy runcomfy.com · Text-to-video · GitHub HappyHorse 1.0 — currently 1 on Artificial Analysis Video Arena (Elo 1333 t2v / 1392 i2v) — hosted on the RunComfy Model API . Native 1080p video with in-pass synchronized audio (dialogue, ambient, Foley) and multi-shot character consistency. npx skills add agentspace-so/runcomfy-skills --skill happyhorse-1-0 -g When to pick this model (vs siblings) Show more Installs 1.0K Repository prime-skills/ru…t-skills GitHub Stars...
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403.9K |
| 76 | flux-2-klein | prime-skills/runcomfy-agent-skills |
Flux 2 Klein — Pro Pack on RunComfy runcomfy.com · 9B model · 4B model · GitHub Black Forest Labs' Flux 2 Klein (the distilled, low-latency variant of Flux 2) hosted on the RunComfy Model API — no API key, async REST. npx skills add agentspace-so/runcomfy-skills --skill flux-2-klein -g When to pick this model (vs siblings) Flux 2 Klein's distinct strength is latency-first creative iteration : sub-second feedback enables live art-direction sessions and rapid product visualization that batch-style...
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403.7K |
| 77 | hyperframes | heygen-com/hyperframes |
HyperFrames HTML is the source of truth for video. A composition is an HTML file with data-* attributes for timing, a GSAP timeline for animation, and CSS for appearance. The framework handles clip visibility, media playback, and timeline sync. Approach Before writing HTML, think at a high level: What — what should the viewer experience? Identify the narrative arc, key moments, and emotional beats. Structure — how many compositions, which are sub-compositions vs inline, what tracks carry what (v...
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402.5K |
| 78 | implement | mattpocock/skills |
Implement the work described by the user in the PRD or issues. Use /tdd where possible, at pre-agreed seams. Run typechecking regularly, single test files regularly, and the full test suite once at the end. Once done, use /review to review the work. Commit your work to the current branch. Installs 1.7K Repository mattpocock/skills GitHub Stars 132.4K First Seen 1 day ago Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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401.4K |
| 79 | azure-upgrade | microsoft/azure-skills |
Azure Upgrade This skill handles assessment and automated upgrades of existing Azure workloads from one Azure service, hosting plan, or SKU to another — all within Azure. This includes plan/tier upgrades (e.g. Consumption → Flex Consumption), cross-service migrations (e.g. App Service → Container Apps), and SKU changes. This is NOT for cross-cloud migration — use azure-cloud-migrate for that. Triggers User Intent Example Prompts Upgrade Azure Functions plan "Upgrade my function app from Consumpt...
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397.9K |
| 80 | lark-approval | larksuite/cli |
approval (v4) CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 API Resources lark-cli schema approval. < resource > . < method > 调用 API 前必须先查看参数结构 lark-cli approval < resource > < method > [ flags ] 调用 API 重要 :使用原生 API 时,必须先运行 schema 查看 --data / --params 参数结构,不要猜测字段格式。 instances get — 获取单个审批实例详情 cancel — 撤回审批实例 cc — 抄送审批实例 initiated — 查询用户的已发起列表 tasks remind — 催办审批人 approve — 同意审批任务 reject — 拒绝审批任务 transfer — 转交审批任务 query — 查询用户的任务列表 权限表 方法 所需 scope instances.get approval:...
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386.8K |
| 81 | design-taste-frontend | leonxlnx/taste-skill |
High-Agency Frontend Skill 1. ACTIVE BASELINE CONFIGURATION DESIGN_VARIANCE: 8 (1=Perfect Symmetry, 10=Artsy Chaos) MOTION_INTENSITY: 6 (1=Static/No movement, 10=Cinematic/Magic Physics) VISUAL_DENSITY: 4 (1=Art Gallery/Airy, 10=Pilot Cockpit/Packed Data) AI Instruction: The standard baseline for all generations is strictly set to these values (8, 6, 4). Do not ask the user to edit this file. Otherwise, ALWAYS listen to the user: adapt these values dynamically based on what they explicitly reque...
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384.4K |
| 82 | code-review | mattpocock/skills |
Two-axis review of the diff between HEAD and a fixed point the user supplies: Standards — does the code conform to this repo's documented coding standards? Spec — does the code faithfully implement the originating issue / PRD / spec? Both axes run as parallel sub-agents so they don't pollute each other's context, then this skill aggregates their findings. The issue tracker should have been provided to you — run /setup-matt-pocock-skills if docs/agents/issue-tracker.md is missing. Process 1. Pin ...
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383.2K |
| 83 | kling-3-0 | prime-skills/runcomfy-agent-skills |
Kling 3.0 - Pro Pack on RunComfy runcomfy.com · docs · GitHub Kling 3.0 is Kuaishou Technology's third-generation cinematic video model. This skill covers all six Kling 3.0 rendering endpoints on RunComfy: three quality tiers (Standard, Pro, 4K) across two modes (text-to-video and image-to-video). What Kling 3.0 is Kling 3.0 is the V3 generation of the Kling video model. It produces multi-shot cinematic video with synchronized native audio, consistent character identity across shots, and physics...
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380.8K |
| 84 | azure-enterprise-infra-planner | microsoft/azure-skills |
Azure Enterprise Infra Planner When to Use This Skill Activate this skill when user wants to: Plan enterprise Azure infrastructure from a workload or architecture description Architect a landing zone, hub-spoke network, or multi-region topology Design networking infrastructure: VNets, subnets, firewalls, private endpoints, VPN gateways Plan identity, RBAC, and compliance-driven infrastructure Generate Bicep or Terraform for subscription-scope or multi-resource-group deployments Plan disaster rec...
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372K |
| 85 | codex-pet | prime-skills/runcomfy-agent-skills |
Codex Pet — Pro Pack on RunComfy runcomfy.com · GPT Image 2 edit endpoint · docs Codex Pet generator on RunComfy. Turn one source image into a Codex-compatible custom Codex Pet — pet.json + spritesheet.webp — drop it into ${CODEX_HOME:-$HOME/.codex}/pets/<name>/ , Codex picks it up next to the 8 built-in Codex Pets. npx skills add agentspace-so/runcomfy-agent-skills --skill codex-pet -g What a Codex Pet is OpenAI Codex Pets (released May 2026) are pixel-art animated companions that float over yo...
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369.2K |
| 86 | hyperframes-registry | heygen-com/hyperframes |
HyperFrames Registry The registry provides reusable blocks and components installable via hyperframes add <name> . Blocks — standalone sub-compositions (own dimensions, duration, timeline). Included via data-composition-src in a host composition. Components — effect snippets (no own dimensions). Pasted directly into a host composition's HTML. When to use this skill User mentions hyperframes add , "block", "component", or hyperframes.json Output from hyperframes add appears in the session (file p...
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367.7K |
| 87 | lark-slides | larksuite/cli |
slides (v1) CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 CRITICAL — 生成任何 XML 之前,MUST 先用 Read 工具读取 xml-schema-quick-ref.md ,禁止凭记忆猜测 XML 结构。 身份选择 飞书幻灯片通常是用户自己的内容资源。 默认应优先显式使用 --as user (用户身份)执行 slides 相关操作 ,始终显式指定身份。 --as user (推荐) :以当前登录用户身份创建、读取、管理演示文稿。执行前先完成用户授权: lark-cli auth login --domain slides --as bot :仅在用户明确要求以应用身份操作,或需要让 bot 持有/创建资源时使用。使用 bot 身份时,要额外确认 bot 是否真的有目标演示文稿的访问权限。 执行规则 : 创建、读取、增删 slide、按用户给出的链接继续编辑已有 PPT,默认都先用 --as user 。 如果出现权限不足,先检查当前是否误用了 bot 身份;不要默...
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367.1K |
| 88 | to-prd | mattpocock/skills |
This skill takes the current conversation context and codebase understanding and produces a PRD. Do NOT interview the user — just synthesize what you already know. Process Explore the repo to understand the current state of the codebase, if you haven't already. Sketch out the major modules you will need to build or modify to complete the implementation. Actively look for opportunities to extract deep modules that can be tested in isolation. A deep module (as opposed to a shallow module) is one w...
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365.3K |
| 89 | azure-kubernetes | microsoft/azure-skills |
Azure Kubernetes Service AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE This skill produces a recommended AKS cluster configuration based on user requirements, distinguishing Day-0 decisions (networking, API server — hard to change later) from Day-1 features (can enable post-creation). See CLI reference for commands. Quick Reference Property Value Best for AKS cluster planning and Day-0 decisions MCP Tools mcp_azure_mcp_aks CLI az aks create , az aks show , kubectl get , kubectl describe
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365.2K |
| 90 | lark-attendance | larksuite/cli |
attendance (v1) CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 默认参数自动填充规则 调用任何 API 时,以下参数 必须自动填充,禁止向用户询问 : 参数 固定值 说明 employee_type "employee_no" employee_type 始终等于 "employee_no" user_ids [] (空数组) user_ids 始终等于 [] 填充示例 当构建 --params 参数时,自动注入上述字段: employee_type 保持 "employee_no" 不变 当构建 --data 参数时,自动注入上述字段: { "user_ids" : [ ] , ...用户提供的参数 } 注意 : user_ids 数组保持为空[], employee_type 保持 "employee_no" 不变。 API Resources lark-cli schema attendance. < resource > . < method > 调用 API 前必须先...
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364.7K |
| 91 | supabase-postgres-best-practices | supabase/agent-skills |
Supabase Postgres Best Practices Comprehensive performance optimization guide for Postgres, maintained by Supabase. Contains rules across 8 categories, prioritized by impact to guide automated query optimization and schema design. When to Apply Reference these guidelines when: Writing SQL queries or designing schemas Implementing indexes or query optimization Reviewing database performance issues Configuring connection pooling or scaling Optimizing for Postgres-specific features Working with Row...
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361.3K |
| 92 | skill-creator | anthropics/skills |
Skill Creator A skill for creating new skills and iteratively improving them. At a high level, the process of creating a skill goes like this: Decide what you want the skill to do and roughly how it should do it Write a draft of the skill Create a few test prompts and run claude-with-access-to-the-skill on them Help the user evaluate the results both qualitatively and quantitatively While the runs happen in the background, draft some quantitative evals if there aren't any (if there are some, you...
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358.4K |
| 93 | wayfinder | mattpocock/skills |
A loose idea has arrived — too big for one agent session, and wrapped in fog: the route from here to a plan isn't visible yet. This skill charts it: stand up a map, then work its tickets one at a time until the way to the goal is clear. The map is domain-agnostic — engineering work, course content, whatever fits the shape. The Map The map is a single compact Markdown file, one per wayfinding effort, git-tracked alongside the project. It is the canonical artifact — the whole map is loaded as cont...
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355.5K |
| 94 | to-issues | mattpocock/skills |
To Issues Break a plan into independently-grabbable GitHub issues using vertical slices (tracer bullets). Process 1. Gather context Work from whatever is already in the conversation context. If the user passes a GitHub issue number or URL as an argument, fetch it with gh issue view <number> (with comments). 2. Explore the codebase (optional) If you have not already explored the codebase, do so to understand the current state of the code. 3. Draft vertical slices Break the plan into tracer bullet...
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352.3K |
| 95 | lark-okr | larksuite/cli |
okr (v2) CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md ,其中包含认证、权限处理 Shortcuts(推荐优先使用) Shortcut 是对常用操作的高级封装( lark-cli okr +<verb> [flags] )。有 Shortcut 的操作优先使用。 Shortcut 说明 +cycle-list 获取特定用户的 OKR 周期列表,可以按时间筛选 +cycle-detail 获取特定 OKR 中所有目标和关键结果的内容 格式说明 ContentBlock 富文本格式 — Objective/KeyResult/Notes 字段使用的富文本格式说明 OKR 业务实体 获取 OKR 实体结构,定义和关系,帮助你更好的使用 OKR 功能 强烈建议 在操作 OKR 前,阅读 OKR 业务实体 以了解基础概念 API Resources lark-cli schema okr. < resource > . < method > 调用 API 前必须先查看参数结构 lark-cli okr < resour...
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350.7K |
| 96 | ai-video-generation | prime-skills/runcomfy-agent-skills |
AI Video Generation Generate videos with the full RunComfy video-model catalog through one CLI — text-to-video, image-to-video, and Veo's video-extend. This skill picks the right model for the user's intent and ships the documented prompt patterns + the exact runcomfy run invoke for each. runcomfy.com · Video models · CLI docs Powered by the RunComfy CLI 1. Install (see runcomfy-cli skill for details) npm i -g @runcomfy/cli or: npx -y @runcomfy/cli --version 2. Sign in runcomfy login or in ...
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350.3K |
| 97 | ai-image-generation | prime-skills/runcomfy-agent-skills |
AI Image Generation Generate and edit images with 11+ AI models via the RunComfy CLI — text-to-image and image-to-image, one auth, one command. This skill picks the right model for the user's intent and ships the documented prompt patterns + the exact runcomfy run invoke for each. runcomfy.com · Browse all models · CLI docs Powered by the RunComfy CLI 1. Install (one of — see runcomfy-cli skill for details) npm i -g @runcomfy/cli global install npx -y @runcomfy/cli --version zero-install 2. ...
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349.9K |
| 98 | research | mattpocock/skills |
Spin up a background agent to do the research, so you keep working while it reads. Its job: Investigate the question against primary sources — official docs, source code, specs, first-party APIs — not a secondary write-up of them. Follow every claim back to the source that owns it. Write the findings to a single Markdown file, citing each claim's source. Save it where the repo already keeps such notes; match the existing convention, and if there is none, put it somewhere sensible and say where. ...
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348.7K |
| 99 | runcomfy-cli | prime-skills/runcomfy-agent-skills |
RunComfy CLI One binary, one auth, every RunComfy model. Install once, sign in once, then call any text-to-image, video, edit, lip-sync, face-swap, or LoRA-training endpoint with runcomfy run <model_id> --input '{...}' . This skill is the foundation every other runcomfy-* skill builds on. runcomfy.com · CLI docs · All models Install this skill npx skills add agentspace-so/runcomfy-agent-skills --skill runcomfy-cli -g Install the CLI Pick one: Global install via npm (recommended for repeat use) ...
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347.8K |
| 100 | ai-avatar-video | prime-skills/runcomfy-agent-skills |
AI Avatar & Talking Head Video Put words in a face. This skill routes across RunComfy's audio-driven avatar models — OmniHuman, Wan 2-7 with audio_url, HappyHorse, Seedance v2 — picking the right path for the user's intent and shipping the documented prompts + the exact runcomfy run invoke for each. runcomfy.com · Lip-sync feature · CLI docs Powered by the RunComfy CLI 1. Install (see runcomfy-cli skill for details) npm i -g @runcomfy/cli or: npx -y @runcomfy/cli --version 2. Sign in runcomf...
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347.5K |