Pipeline Keeper is an AI-driven sales judgment layer that transforms CRM data and spreadsheets into actionable daily push-lists and drafted follow-ups.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pipeline-keeper
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install pipeline-keeper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Pipeline Keeper?
Pipeline Keeper serves as a sophisticated sales operations lead or chief of staff for your revenue pipeline. Unlike standard CRM connectors that simply report data, this skill functions as a judgment layer on top of your existing tools—including ERPs, spreadsheets, and meeting notes—to identify exactly where momentum is stalling. It is specifically designed to help founders and sales leads focus on high-leverage actions rather than manual documentation.
By analyzing deal history and communication threads, the skill detects overdue next steps, stage bottlenecks, and accounts at risk of going cold. It prioritizes your daily workflow by balancing revenue impact with controllability, ensuring you spend your time on deals that can actually be moved forward. As part of the Openclaw Skills ecosystem, it provides the strategic insight needed to maintain a healthy, high-velocity sales motion.
Pipeline Keeper Use Cases
- Identifying stale business opportunities that haven't had meaningful contact in several days.
- Generating personalized follow-up drafts with varied tones for B2B or SaaS sales.
- Conducting daily or weekly pipeline inspections to find stage-level bottlenecks.
- Prioritizing the top 5 most pushable deals for founder-led sales motions.
- Detecting close-risk accounts where the champion has gone quiet or the buying process is vague.
How Pipeline Keeper Works
- Data Normalization: The skill ingests data from CRM exports, spreadsheets, or chat logs, deduplicating accounts and verifying the latest deal stages.
- Urgency Detection: It identifies overdue tasks and deals stuck in specific stages beyond the typical dwell time.
- Priority Ranking: Using revenue impact and momentum signals, it ranks the opportunities that require immediate attention today.
- Actionable Recommendations: For every high-priority deal, it provides a concrete next move (e.g., push for a meeting, confirm buying process, or disqualify).
- Drafting Outreach: It generates ready-to-send follow-up messages tailored to the specific relationship warmth and urgency.
Pipeline Keeper Setup
To integrate Pipeline Keeper into your environment, ensure you have your CRM exports or deal spreadsheets ready for processing. Follow these steps to initialize the skill within the Openclaw Skills framework:
# Install the skill via the Openclaw CLI
clawdbot install pipeline-keeper
# Provide your data source (CSV, CRM export, or account notes)
# The skill will automatically request source handling if none is detected
Pipeline Keeper Data Schema & Taxonomy
The skill organizes deal information into a structured schema to calculate health metrics. Below are the primary data fields handled:
| Field | Description |
|---|---|
| Account/Opportunity | The name of the deal or company |
| Stage | Current position in the sales funnel |
| Last Touch | Date of the last meaningful customer interaction |
| Days in Stage | Computed field showing dwell time in current status |
| Cold-Risk Level | Inferred urgency based on reply status and objection frequency |
| Recommended Action | The specific 'next step' suggested by the AI |
Pipeline Keeper Advanced Features
- Multi-Source Synthesis: Merges CRM data with manual annotations from spreadsheets and context from email threads.
- Tone Modulation: Offers multiple outreach options including warm/helpful, direct/commercial, and value-add patterns.
- Heuristic Scoring: Utilizes the pipeline-signals.md reference for advanced dwell-time analytics and risk signaling.
- Automated Briefings: Generates structured Daily To Push lists and Risk Watch reports for executive reviews.
SKILL.md
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