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agentspace

See what your AI agent is doing, from anywhere. The agent keeps writing — logs, code, generated outputs, screenshots, artifacts. One command turns the folder into a live URL you (or a teammate) open in any browser to watch files evolve, edit in place, or comment — no sync, no zip, no account. Workspaces stay live 24 hours anonymously; one email claim keeps them permanent. Hosted on Cloudflare. Triggers on "show me what the agent is doing", "open the agent's folder", "share this folder", "give me a link", "hand off this workspace", or any ask to make an agent's local file state visible from another device or to another person.

DeepseekModel 官方收录技能 质量 良好 · 64 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=agentspace-so-skills-agentspace-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name agentspace displayName 🪢 Agentspace — See what your agent is doing, from anywhere description See what your AI agent is doing, from anywhere. The agent keeps writing — logs, code, generated outputs, screenshots, artifacts. One command turns the folder into a live URL you (or a teammate) open in any browser to watch files evolve, edit in place, or comment — no sync, no zip, no account. Workspaces stay live 24 hours anonymously; one email claim keeps them permanent. Hosted on Cloudflare. Triggers on "show me what the agent is doing", "open the agent's folder", "share this folder", "give me a link", "hand off this workspace", or any ask to make an agent's local file state visible from another device or to another person. emoji 🪢 homepage https://agentspace.so license MIT 🪢 Agentspace See what your agent is doing — from anywhere. Your agent keeps writing — logs, code, generated outputs. You open a URL and watch the folder evolve in the browser. No sync, no zip, no account. Tell the agent to share any local folder or file. The agent returns a URL — anyone opens it in the browser, no signup. agentspace.so · GitHub · npm @agentspace-so/ascli What you can share Folders, single files, generated code, test output, build logs, screenshots, PDFs, reports, dashboards, prototypes — any local artifact. How it works One command ( ascli share <path> ) creates an anonymous workspace and returns a link. Anyone opens the link — reads, comments, or edits directly in the browser. Anonymous workspaces live 24 hours. One email claim makes them permanent. Hosted on Cloudflare's edge network — links load fast worldwide. Data handling Only the path the user explicitly names is uploaded. Do not default to the current working directory unless the user clearly says so. All network traffic goes to agentspace.so only. The skill does not read environment variables, shell history, or files outside the path the user specifies. Choose the CLI path If ascli is already on PATH , use it directly. Else if npm is available, install once with npm install -g @agentspace-so/ascli@latest , or run without installing via npx @agentspace-so/ascli@latest <command> . If neither ascli nor npm is available, stop and tell the user to install Node.js from nodejs.org first. Do not pipe a remote script into a shell to install. Share a path Ask the user which folder or file to share if they have not named one explicitly. Do not assume . . Run ascli share <path> --permission edit with the user-specified path. If the user asks for view-only access, use --permission view . share handles an unbound folder by creating a temporary workspace, syncing once, and returning a link — no separate sync step is needed. Return the share URL directly to the user exactly as the CLI prints it. Guardrails Do not invent claim URLs, workspace URLs, or share URLs. Only return what the CLI prints. Do not require a global install if npx already works. Do not move the user into a different project just to use agentspace.so. If the user asks to "share this folder" and the target is ambiguous, confirm the exact path before running. If you need exact command variants, read references/commands.md .
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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