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pipeline-review
Audit pipeline health from CRM data — identify at-risk deals, surface stalled opportunities, flag forecast risk, and recommend where to focus.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Audit pipeline health from CRM data — identify at-risk deals, surface stalled opportunities, flag forecast risk, and recommend where to focus.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Activate company-level signal tracking. Runs signals via the Saber CLI if available; without it, outputs a research playbook and suggests alternative tracking methods.
Generate 12–15 structured, weighted research signals from a structured ICP, ready to activate in Saber. Each signal includes answer type, weight, and interpretation rules for automatic scoring.
Deep research on a single company — signals, hiring, news, tech stack, and LinkedIn presence. Uses the Saber CLI for signal data and any available MCP tools for broader research.
End-to-end guided workflow — take one prospect domain, run your saved research signals, find named contacts on the buying committee, and write a hyper-personalised cold email and LinkedIn DM grounded in the signal answers. First run defines the source-company ICP, contact-search targets, and ≤5 weighted signals (saved to disk); every subsequent run reuses them. Use when you want full SDR research-and-write for a single prospect, not write-outreach in isolation.
End-to-end guided workflow — build a Saber company list, run research signals across every company in parallel, find named contacts, and export a combined CSV to the desktop. Walks the user through each stage with confirmations and a credit-discipline guard. Use when you want one signed-off CSV instead of running build-account-list, create-company-signals, and build-contact-list separately.
Build a target account list and run company signals against it. Works with the Saber CLI, Apollo, HubSpot, or any available prospecting tool — with a manual fallback.
| name | pipeline-review |
| description | Audit pipeline health from CRM data — identify at-risk deals, surface stalled opportunities, flag forecast risk, and recommend where to focus. |
Use this skill to get a structured health check on your pipeline. Bring your deal data and get back: a coverage assessment, at-risk deal flags, stall analysis, and a recommended focus list for the week.
Works with HubSpot MCP (if connected), pasted deal data, or a CSV export from your CRM. No Saber CLI required.
Ask the user how they want to provide pipeline data:
Option A — HubSpot MCP (if available) Check for HubSpot tools in the available tool list. If connected, pull deals directly:
Fetch all open deals from HubSpot, including: deal name, company, stage, amount,
close date, last activity date, owner, and any custom signal properties.
Option B — Paste or describe Ask the user to paste a pipeline export or describe their open deals. Minimum useful fields:
Option C — CSV If the user uploads a CSV, parse it and proceed with whatever fields are present.
Calculate and present:
PIPELINE OVERVIEW
Total open pipeline: $[X]
Deal count: [N] deals across [N] reps
Average deal size: $[X]
Weighted pipeline: $[X] (stage-weighted by typical conversion rates)
BY STAGE
[Stage name]: [N] deals, $[X] value, avg [N] days in stage
[...]
COVERAGE
Quota this period: $[X]
Pipeline: $[X]
Coverage ratio: [X]x
[Flag if below 3x]
Flag deals showing risk signals:
Stalled — in the same stage for longer than typical No recent activity — no logged activity in 14+ days Slipping close date — close date has moved more than once Single-threaded — only one contact on the deal Missing next step — no scheduled next activity Late-stage with no economic buyer — in proposal/negotiation but no exec engaged
AT-RISK DEALS
🔴 [Company] — $[X] — [Stage]
Risk: [Stalled 28 days / No activity since [date] / Close date moved 3x]
Owner: [Name]
Recommended action: [Specific suggested next step]
🟡 [Company] — $[X] — [Stage]
Risk: [Watch area]
[...]
Assess commit and best-case forecast:
FORECAST
Commit (high confidence): $[X] — [N] deals
Best case (likely to close): $[X] — [N] deals
Pipeline (needs work): $[X] — [N] deals
FORECAST RISK
[Deal name]: $[X] — [reason this might not close as forecast]
[...]
GAP TO QUOTA
[If commit covers quota: "Commit covers quota — focus on best-case upside"]
[If gap exists: "Gap of $[X] — need to close [N] deals from best-case or pull something forward"]
Recommend the top 5 deals to prioritise this week, with reasoning:
FOCUS LIST — This Week
1. [Company] — $[X] — [Stage]
Why: [Highest value deal with a clear path to close / decision expected this week / at risk of stalling]
Next step: [Specific action]
2. [...]
Rate overall pipeline health:
PIPELINE HEALTH
Coverage: [Green / Yellow / Red] — [X]x coverage
Velocity: [Green / Yellow / Red] — avg [N] days per stage
Distribution: [Green / Yellow / Red] — [observation]
Quality: [Green / Yellow / Red] — [observation]
OVERALL: [Healthy / Needs attention / At risk]
deal-coaching on the top 2–3 at-risk deals for deeper analysiswrite-outreach to re-engage stalled deals with a signal-informed messagefind-expansion-accounts to identify upsell opportunities in the existing customer base