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MyAgents
MyAgents에는 hAcKlyc에서 수집한 skills 15개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
MyAgents 本地问题诊断、恢复与反馈升级流程。用户描述报错、崩溃、无响应、配置后仍不可用、状态或结果不符合预期、 Task/Goal/Channel/Provider/Runtime/MCP/Plugin/附件/Space 等功能异常,或者前端“小助理诊断/问题反馈”注入诊断上下文时使用。 先用 `/myagents-docs` 确认正确产品预期,再以本地状态、CLI、日志和必要 probe 分类、修复、验证;确认产品缺陷或功能建议后, 在用户确认下形成并提交脱敏 Issue。普通“是什么/怎么用/入口在哪”不使用本 skill,直接使用 `/myagents-docs`。
MyAgents 产品使用知识库与用户可见行为说明。用户或 Agent 只要需要了解 MyAgents 是什么、能做什么、某项功能怎么用、 功能入口或前置条件、功能之间的区别与关系、正确情况下应该出现什么结果、有哪些限制或常见误解,就使用这个 skill; 也适用于在任意工作区规划怎样借助 MyAgents 的 Workspace、Session、Task、Goal、Provider、Runtime、MCP、Skill、Agent Channel、 Cloud Space 等能力完成工作。它面向软件使用而非源码开发。需要查询或修改当前实例状态时再加载 `/myagents-cli`; 已经出现报错、崩溃或实际行为偏离预期时,在内置小助理中转入 `/support`。
你正在 MyAgents 这款 AI 产品里运行——MyAgents 自带一套"产品能力"(定时任务、任务中心、想法收集、MCP 工具接入、 模型 Provider、IM Bot 渠道、社区插件、Skills 安装、MyAgents Cloud Space、Generative UI Widget、Goal 目标模式等),全部通过内置 `myagents` CLI 暴露给你。 当用户的需求**落在 MyAgents 产品能力的射程内**,就加载并使用这个 skill,用 CLI 主动帮用户把事情做掉, 而不是让用户去 GUI 点击。 典型触发场景:用户说"每天 X 点帮我 Y"(→ cron)、"记一下这个想法"(→ thought)、"派发成任务"(→ task)、 "接个 X 工具进来"(→ mcp)、"配 X 模型/Provider"(→ model)、"在飞书/钉钉/Telegram 里跟我聊"(→ agent channel)、 "装个 X 插件 / 装个 X skill"(→ plugin / skill)、"处理 Space Issue / 下载附件 / 回复 Issue"(→ space)、 "把图发到 IM 里"(→ im send-media)、"用已配置的读图模型理解图片"(→ vision analyze)、"持续执行直到目标完成"(→ goal)、 "做个图表/仪表盘" (→ widget readme)、"看下我有啥任务/定时/Runtime/版本"(→ list / status / version)、"改下应用设置"(→ config)。 即使用户没说"用 MyAgents 做"几个字,只要意图能映射到上述能力之一,就该走这个 skill。 反向边界:纯业务任务(写代码、查资料、读文件)不归这里;用户自己会话里给 AI 排任务用 im-cron MCP,不是这里。
仅当系统或用户明确指定完整名称 `myagents-memory-gardener` 时使用; 不要根据任务语义或相似表述自行触发。
仅当系统或用户明确指定完整名称 `myagents-memory-molt` 时使用; 不要根据任务语义或相似表述自行触发。
仅当系统或用户明确指定完整名称 `myagents-memory-update` 时使用; 不要根据任务语义或相似表述自行触发。
Methodology for writing or improving prompts and system prompts that drive any LLM. Use when authoring or revising a prompt for a model task — grouping, classification, extraction, generation, copywriting, labeling, agent instructions, prompt templates, skill instructions — to decide how much to constrain the model based on the task type (open-ended vs single-correct-answer) and write the most fitting instructions. Triggers: "write a prompt", "help me write or improve a prompt", "how should I change this prompt", "this prompt isn't working", "write instructions for the model", "prompt-writer". Not for: answering the user's question directly, or writing articles and documents meant for human readers (those are not prompts that drive a model).
Create, repair, validate, visually QA, and package MyAgents/Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker desktop pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.
把用户的可复用需求封装成标准化的 Agent-CLI 工具,并用 `myagents tool add` 注册进 MyAgents 工具注册表——注册后所有未来会话(builtin / Claude Code / Codex / Gemini 全 runtime)的 AI 都会在 system prompt 里自动发现它。触发场景:(1) 用户说「把 XX 封装成工具」「做成一个工具」「注册个工具」「写个 CLI」「以后能直接用」;(2) 用户描述一个会反复出现的自动化需求——文档/文件批量处理、调用某个云 API、用某个多模态大模型做图像/视频理解等,即使没说"工具"两个字;(3) 你发现自己第二次为同类需求写几乎一样的脚本——这时要主动提议把它升格为注册工具,不要等用户开口。反向边界:一次性任务就地解决、不铸工具;接入现成的 MCP server 用 `myagents mcp`,不归这里。
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
Find and download virtually any digital resource from the internet — ebooks, academic papers, movies, TV shows, music, software, images, fonts, courses, and more. Covers both English and Chinese internet ecosystems. Includes CLI tool workflows (yt-dlp, aria2, gallery-dl, spotdl), resource site directories, cloud drive search engines (百度/阿里/夸克网盘搜索), and search techniques (Google dorks). Use when the user wants to: (1) download a video, audio, or media from a URL, (2) find and download an ebook or academic paper, (3) find and download software, (4) search for any digital resource, (5) batch download images or media from a gallery/site, (6) download torrents or magnet links, (7) find free stock assets (images, video, audio, fonts), (8) search Chinese cloud drives for resources, or (9) any task involving finding or downloading digital content from the internet.
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
Alignment conversation starting from a 想法/idea. Co-decides with the user whether the idea should be acted on directly in the current session, or fixed into a formal Task for independent dispatch (one-off or recurring). Handles lightweight 'do it now while we talk', heavyweight 'define precisely, run later or on a schedule', and 'just help me think about this' — all on the same skill. Use when the user arrives via the 想法 panel's 'AI 讨论' button (parameter dictionary in the first message), or says 'let's think this through', 'help me plan this', 'I want to explore X', 'I have an idea', '/task-alignment'. Also use proactively when a user jumps into a complex task without defining scope or success criteria — pause, align, and help them pick the right vessel (this session vs. a task).
Autonomous task execution driven by task documents from /task-alignment (living under `~/.myagents/tasks/<taskId>/`). Reads task.md as the goal, decomposes work, delegates to subagents when appropriate, runs independent verification, and delivers results. Acts as a UserProxy Agent — the human's representative during autonomous execution. Use when the user dispatches a task from the 任务 panel or explicitly wants to start execution. Trigger phrases include '/task-implement', 'start the task', 'go ahead and implement', 'execute the plan', or when the user confirms alignment documents and says something like 'looks good, go'.