activity-insights
Analyze CRM activity data — rep performance, call and email volume, team activity breakdowns, and engagement stats. Use when…
Explain why a closed monday CRM deal was won or lost. Reads the deal's stage history, Emails & Activities timeline, notes and column changes, compares it with other closed deals on the same board, and writes a short evidence-based review. Use when someone asks "why did we
Claude Code
$ npx -y skills add mondaycom/mcp --skill win-loss-review --agent claude-code
Codex
$ npx skills add mondaycom/mcp --skill win-loss-review -a codex -y
Cursor
$ npx skills add mondaycom/mcp --skill win-loss-review -a cursor -y
Gemini CLI
$ npx skills add mondaycom/mcp --skill win-loss-review -a gemini-cli -y
GitHub Copilot
$ npx skills add mondaycom/mcp --skill win-loss-review -a github-copilot -y
OpenCode
$ npx skills add mondaycom/mcp --skill win-loss-review -a opencode -y
Windsurf
$ npx skills add mondaycom/mcp --skill win-loss-review -a windsurf -y
name: win-loss-review description: > Explain why a closed monday CRM deal was won or lost. Reads the deal's stage history, Emails & Activities timeline, notes and column changes, compares it with other closed deals on the same board, and writes a short evidence-based review. Use when someone asks "why did we win/lose Acme", "win-loss review for this deal", "closed-lost analysis", "what was the loss reason really", "what went wrong with this deal", "post-mortem on this opportunity" or "what can we learn from this closed deal". Works on one closed deal at a time. Not for open deals (offer daily-briefing on the board instead). argument-hint: "[closed deal name or link — 'why did we lose Acme', 'win-loss review for this deal']" user-invocable: true allowed-tools: [Read, AskUserQuestion, mcp__plugin_monday-crm_monday__get_user_context, mcp__plugin_monday-crm_monday__search, mcp__plugin_monday-crm_monday__get_board_info, mcp__plugin_monday-crm_monday__get_column_type_info, mcp__plugin_monday-crm_monday__get_board_items_page, mcp__plugin_monday-crm_monday__get_board_activity, mcp__plugin_monday-crm_monday__get-timeline-items, mcp__plugin_monday-crm_monday__get-custom-activities, mcp__plugin_monday-crm_monday__extract_signals, mcp__plugin_monday-crm_monday__get_updates, mcp__plugin_monday-crm_monday__search_meetings_content, mcp__plugin_monday-crm_monday__get_meetings_content, mcp__plugin_monday-crm_monday__change_item_column_values, mcp__plugin_monday-crm_monday__update_items, mcp__plugin_monday-crm_monday__create_column, mcp__plugin_monday-crm_monday__create_doc, mcp__plugin_monday-crm_monday__get_asset_upload_url, mcp__plugin_monday-crm_monday__finalize_asset_upload]
Produce an evidence-based explanation of why one closed deal was won or lost. Every claim must point to something you read. If the evidence is thin, say so instead of guessing.
First run step 2 (find the deal and confirm it is Won or Lost). Then ask both questions in one message with `AskUserQuestion`, skipping any the user already answered or said "always" or "never" about, and remember the answers.
1. **Depth:** "Short analysis or deep analysis?"
2. **Board update (recommended):** "Should I save the result on the deal item in monday, so the review stays with the deal and your team can see and report on it?" Options: yes (recommended), or no (chat and artifact only).
If the user is unsure, recommend yes and short. Do not start the heavy reads (steps 3 to 5) until depth is answered.
1. Resolve the deal: item link, or search by name. If several match, list them (name, owner, value, stage) and ask which one. 2. Call `get_board_info` (columns only) for the deal's board. Identify by column type, not by title:
3. Confirm the outcome: current stage label (Won or Lost) and group (for example "Closed Won"). Classify unusual endings explicitly: "no decision" or "went dark" is a loss, a deal that was reopened is judged by its latest close, and a deal won and later churned is judged on the win only (mention the churn). 4. If the deal is not closed, stop and tell the user a post-mortem needs a closed deal. Offer to review it once it closes, or to run `daily-briefing` on the board instead.
Call `get_board_activity` with the board id, `itemIds` set to the deal, `includeData: true` and a `fromDate` early enough to cover the deal's creation (use the item's `created_at`, or one year back). `get_board_activity` has no paging: if the response looks cut off, split the range into smaller `fromDate` / `toDate` windows. Stop at about 300 events; if there are more, say the history is truncated.
From the events, build an ordered list of stage changes:
The `created_at` field on events is a 17-digit monday timestamp. Divide by 10,000,000 to get Unix seconds. If the response
Enable AI agents to operate reliably within real workflows. This MCP is monday.com's open framework for connecting agents into your work OS - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.
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小红书内容发布技能。支持两种发布模式:(1) 上传图文模式 - 图片+短文;(2) 写长文模式 - 长篇文章+排版模板。 支持两种输入方式:用户提供完整内容和图片/图片URL,直接发布;或提供网页URL,自动提取内容和图片。…