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cc-connect

This skill should be used when sending images, files, or notifications back to the user via messaging platforms (Discord, Feishu, Telegram, etc.) through cc-connect. TRIGGER when agent generates a plot/chart/screenshot and wants to show the user; agent creates a report/PDF/file the user should receive; agent needs to proactively notify the user (e.g. task completed, alert, reminder); user asks to "send image", "show me the chart", "notify me", "send the file", "send to Telegram", "show plot in Discord".

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=archibate-dotfiles-opencode-optional-skills-cc-connect-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 cc-connect description This skill should be used when sending images, files, or notifications back to the user via messaging platforms (Discord, Feishu, Telegram, etc.) through cc-connect. TRIGGER when agent generates a plot/chart/screenshot and wants to show the user; agent creates a report/PDF/file the user should receive; agent needs to proactively notify the user (e.g. task completed, alert, reminder); user asks to "send image", "show me the chart", "notify me", "send the file", "send to Telegram", "show plot in Discord". version 0.1.0 cc-connect: Send Images, Files, and Notifications Purpose Claude Code cannot send images or files back to users. The terminal output is text-only. cc-connect bridges this gap by providing a send command that delivers images, files, and text notifications directly through messaging platforms (Discord, Feishu, Telegram, etc.). When to use Send generated charts/plots — matplotlib, plotly, seaborn, etc. Send screenshots — captured via agent-browser or other tools Send reports/files — PDFs, CSVs, logs, any artifact to transfer Proactive notifications — task completed, long job done, alerts Send links — share URL links to user (easier to click) When NOT to use Short text report — response directly Service not available — skip this skill if cc-connect daemon not running Commands All commands use cc-connect send with different flags. Send an Image cc-connect send --image /absolute/path/to/image.png -p <project> -m "Description" Repeat --image for multiple images in one message. Supported formats: PNG, JPG, JPEG, GIF. Always use absolute paths. Send a File cc-connect send --file /absolute/path/to/report.pdf -p <project> -m "Description" Repeat --file for multiple files. Works with any file type: PDF, CSV, ZIP, etc. Send a Text Notification cc-connect send -m "Task completed successfully" -p <project> For long or multi-line messages, use heredoc: cc-connect send --stdin -p <project> << 'EOF' Build completed! - Tests: PASS - Coverage: 87% EOF Combine Image + File + Message cc-connect send --image /path/to/chart.png --file /path/to/data.csv -p <project> -m "Results attached" Common Options Flag Description -p, --project <name> Target project name (required when multiple projects exist) -s, --session <key> Target specific session key (optional, defaults to first active) -m, --message <text> Text message to accompany the attachment --image <path> Image file to send (repeatable) --file <path> File to send (repeatable) --stdin Read message body from stdin Project Names Project names come from ~/.cc-connect/config.toml . Check the config to find available project names: grep -A1 'name = ' ~/.cc-connect/config.toml If only one project is configured, -p can be omitted. Workflow Patterns Pattern 1: Generate and Send a Chart After generating a plot with matplotlib, save it to disk and send: import matplotlib.pyplot as plt plt.savefig( "/tmp/chart.png" , dpi= 150 , bbox_inches= "tight" ) plt.close() Then: cc-connect send --image /tmp/chart.png -p <project> -m "Here is the chart" Pattern 2: Notify After Long Task When a long-running task completes (training, backtest, build), notify the user even if they are away from the screen: cc-connect send -m "Training complete! Loss: 0.023, Accuracy: 97.2%" -p <project> Pattern 3: Send Report with Multiple Files cc-connect send \ --file /tmp/report.pdf \ --file /tmp/data.csv \ --image /tmp/summary_chart.png \ -p <project> \ -m "Weekly report attached" Troubleshooting "no active session found" Try specifying the full session key found in daemon logs: journalctl --user -u cc-connect -n 20 --no-pager | grep session_key If not found: The user has not started a chat session yet. The user must send at least one message on the platform before cc-connect send can deliver to them. Then use the session key: cc-connect send --image /path/to/img.png -p <project> -s "discord:xxx:xxx" -m "Image" "project not found" Check available projects with grep 'name = ' ~/.cc-connect/config.toml and use the exact project name with -p . Beta Version Required The --image and --file flags require cc-connect >= v1.2.2-beta. Install via: npm install -g cc-connect@beta Stable versions (v1.2.1 and below) only support text messages ( -m , --stdin ). Requirements cc-connect daemon must be running: cc-connect daemon status attachment_send = "on" in ~/.cc-connect/config.toml (global or per-project) For image/file sending: cc-connect >= v1.2.2-beta ( cc-connect --version )
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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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