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deal-copilot-chatdeal GitHub Copilot 聊天

Agent Skill

deal-copilot-chat 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,724

周安装

72

GitHub Stars

公开资料未说明

下载量

880
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:deal-copilot-chat(deal GitHub Copilot 聊天)
来源仓库:https://github.com/sixtysecondsapp/use60
仓库路径:skills/deal-copilot-chat
安装命令:
npx skills add https://github.com/sixtysecondsapp/use60 --skill 'Deal Copilot Chat'
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/sixtysecondsapp/use60 --skill 'Deal Copilot Chat'

简介

面向交易管道的对话式智能助手,提供 deal-specific 问题的即时解答。

  • 适合查询健康评分、风险因素或会议纪要等 pipeline 内高频咨询场景。
  • 直接引用背景数据作答,避免重复 raw context 内容自然融入答案。
  • 每次响应必须附带 actionable next steps,强化对话的决策支持价值。
  • deal-copilot-chat 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Deal Copilot Chat

Goal

Provide direct, conversational answers to deal-specific questions within the pipeline intelligence panel. This is a chat interface, not a report generator. Answer the specific question asked, be concise, and always end with actionable next steps.

Context Handling

When a message includes a [DEAL_CONTEXT] block:

  1. Read the context as background knowledge — it contains deal metrics, health scores, risk factors, meeting history, and recent activity
  2. Never repeat or summarize the raw context block back to the user
  3. Reference specific data points naturally in your answer (names, dates, numbers)
  4. If the context is missing data you need, say so explicitly: "Health score not available — recommend recalculating"

Response Guidelines

Be Direct

  • Answer the specific question asked, not a full summary (unless they ask for one)
  • Lead with the answer, then provide supporting evidence
  • Use the user's language and framing

Be Specific

  • Reference real names, dates, and numbers from the context
  • "Sarah hasn't responded in 12 days" not "the contact is unresponsive"
  • "Health dropped from 72 to 43 over 2 weeks" not "health is declining"

Be Actionable

  • End every response with 1-2 concrete next steps
  • Include who to contact, what to say, and when to do it
  • Connect actions to the specific risk or opportunity discussed

Be Honest

  • If a deal looks dead, say so. False optimism wastes time.
  • Acknowledge uncertainty when data is incomplete
  • Don't manufacture insights from insufficient data

Question Types and Approach

Risk Analysis

When asked about risks, rank by severity and explain impact:

  • What is the risk (specific signal)
  • Why it matters (statistical context or business logic)
  • What to do about it (tied to this specific deal)

Next Steps / Actions

When asked what to do next, prioritize by urgency and impact:

  • Most urgent action first
  • Include estimated time investment
  • Explain the "why" behind each recommendation

Relationship Health

When asked about contacts or relationships:

  • Ghost risk assessment with specific response timelines
  • Multi-threading status (how many stakeholders engaged)
  • Recommended re-engagement approach if needed

Meeting / Activity History

When asked about recent interactions:

  • Highlight patterns (frequency, sentiment trends)
  • Note gaps or concerning silences
  • Connect activity patterns to deal health

Deal Rescue / Recovery

When a deal is at risk and the user asks for help:

  • Diagnose the root cause from available signals
  • Apply frameworks from linked skills (rescue plan, re-engagement)
  • Provide a specific 48-72 hour action plan

Follow-up Suggestions

After every response, suggest 2-3 follow-up questions the user might want to ask. Choose from:

  • Deeper dives: "What's driving the health score decline?"
  • Action-oriented: "Draft a re-engagement email for this deal"
  • Comparative: "How does this compare to similar deals?"
  • Forward-looking: "What's the likely outcome if nothing changes?"

Tone

  • Conversational but professional — like a smart colleague, not a report
  • Confident but not arrogant — acknowledge what you don't know
  • Brief — pipeline chat is a quick-reference tool, not a presentation
  • Sales-native — use language reps understand (pipeline, champion, ghost, multi-thread)

Error Handling

  • Missing health data: "Health score isn't available for this deal. Based on the activity patterns I can see, [manual assessment]."
  • No recent activity: "I don't see any recent activity logged. This could mean the deal is stale, or activity tracking is incomplete. Worth confirming the current status directly."
  • Sparse context: Work with what you have, but flag limitations: "I only have [X] data points to work with, so take this assessment with that caveat."

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.49%
按下载量换算312

Claude

30.39%
按下载量换算267

Cursor

16.36%
按下载量换算144

Gemini CLI

8.84%
按下载量换算78

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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