Updated September 28, 2026 | 12 min read
Updated September 28, 2026 | 12 min read
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The 3-Tier Signal Grid I Use to Score Every Claap Call (Free Claude Skill, 2026)
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Your team already heard the buying signal. Someone said their note-taker keeps dropping calls, or asked how the CRM sync actually works, and the rep moved on to the next agenda item. That quote is sitting in a recording nobody will open again. Multiply it by a quarter of calls and you have a pipeline problem that looks like a lead-gen problem.
Your team already heard the buying signal. Someone said their note-taker keeps dropping calls, or asked how the CRM sync actually works, and the rep moved on to the next agenda item. That quote is sitting in a recording nobody will open again. Multiply it by a quarter of calls and you have a pipeline problem that looks like a lead-gen problem.
In this guide, I’ll show you exactly how to install and run the Claap Sales Opportunity Detector, a free Claude Skill that batch-scans your Claap transcripts, scores each call against a 3-tier signal grid, and hands back a ranked CSV of leads worth contacting. The first scan I ran used the default window (the 50 most recent calls) and the top rows were all people who had complained about a tool they were already paying for. I’ll walk through the scoring rubric, the prompts that trigger it, how to read the output, and how to turn the hot rows into a live campaign.
What the Claap Sales Opportunity Detector does
It scans your Claap call transcripts for buying signals and returns a ranked list of sales opportunities you missed. It’s built by lemlist, open-source, and free to download from the l3mpire/claude-skills GitHub repository.
A Claude Skill is a SKILL.md file, a packaged set of markdown instructions Claude loads automatically when your prompt matches its trigger description. You don’t install an app or learn new software. You ask Claude to find opportunities in your calls, and the skill takes it from there.
Under the hood, it connects to your Claap workspace through Claap MCP (Model Context Protocol), pulls transcripts in batch, and scores each one against a rubric of buying signals. The result is a scored, prioritized list of leads hiding in calls your team already had.
This is what lemlist and Claap call smartbound: prospecting that fires off a real buying signal, with the context attached, at the moment the signal is still warm. Together, the companies are launching “smartbound” sales, which orchestrate targeted, contextual, and timely prospecting triggered by buying signals (Lemlist Acquires AI Platform Claap | Crowdfund Insider), according to Crowdfund Insider. This skill is one concrete version of that motion: signal in, campaign out.
Who gets the most out of it:
- Sales teams on Claap looking for upsell, expansion, renewal risk, or net-new pipeline buried in old recordings
- RevOps and sales leaders who’d rather run one batch scan than review calls one by one
- GTM engineers wiring Claap transcript analysis into broader AI agent workflows
- Founders and solo AEs who record every call and never get back to them
How the signal detection grid scores each call
Every transcript gets checked against a three-tier rubric, and each tier carries a different point weight. Only statements the prospect makes count. Anything the rep says gets ignored, since the point is to measure real buyer intent, not the pitch.
Explicit product interest and tool dissatisfaction
Tier 1 signals carry the highest weight, 3 points each. These cover direct interest (“how does that work exactly?”), complaints about a current note-taker or recording tool, requests for automatic CRM filling, and phrases like “we’re evaluating solutions.” Calling a current tool unreliable or overpriced fires this tier too.
Process pain and coaching gaps
Tier 2 signals carry 2 points each: wanting to add AI to the sales process, trouble finding or sharing past recordings, coaching gaps, weak follow-up habits. “Managers don’t have time to listen to calls” is a textbook Tier 2 signal.
Competitor mentions and growth indicators
Tier 3 signals carry 1 point each, the lightest weight in the grid. Mentioning a competitor (Gong, Chorus, Modjo, Loom), general curiosity about sales tools, or hiring and expansion talk all land here. Weak individually, but a few together add up fast.
How the score maps to opportunity priority
Once a call finishes scoring, the skill totals the points and assigns a priority label.
Score range | Priority label | Recommended action |
|---|---|---|
6+ | Hot opportunity | Reach out within 48 hours |
3–5 | Warm opportunity | Nurture and monitor the next call |
1–2 | Weak signal | Add to a watch list |
0 | No signal | Excluded from the report |
Calls scoring zero get dropped entirely, so what lands in your report is already filtered to calls worth your attention.
Here’s the honest part. When I ran the first scan across a full quarter of old recordings, the weak-signal tier was noisy. A prospect saying “we looked at Gong once” is a point, and a point is not a pipeline. Scan far enough back and you’ll read a few rows and think, no, that one was never a deal. Worth running anyway: the false positives sit at the bottom of a sorted list, and the top of that list is the only part you act on this week.
How to install and run the skill
Two things need to exist first: a Claap account with recorded calls, and a working Claap MCP connection to Claude. Once both are in place, setup takes a few minutes.
1. Connect Claap MCP to Claude
Claap MCP is a Model Context Protocol server that gives Claude access to your Claap data: recordings, transcripts, deals, contacts, companies. Open Claude’s connector settings, add the Claap MCP endpoint, and sign in with OAuth. Claude usually registers the five Claap MCP tools in under two minutes, and without this step, the skill has nothing to scan.
2. Download the SKILL.md file
Grab the raw file from GitHub at l3mpire/claude-skills/claap-sales-opportunity-detector/SKILL.md. A Claude Code skill lives under ~/.claude/skills/<name>/ and tells Claude how to perform a specific task, in this case scanning Claap calls. Or skip the manual placement and run the one-command install: npx skills add l3mpire/claude-skills/claap-sales-opportunity-detector.
3. Run your first scan
The skill opens with a short clarification phase, asking a few setup questions. Answer them, or skip and let it fall back to defaults.
Setting | Default if you skip |
|---|---|
Date range | Last 30 days |
Workspaces | All available |
Max calls to scan | 50 (most recent) |
Output format | CSV + inline table |
Filter by rep or team | None (all) |
After that, the skill fetches transcripts through MCP, scores them, and returns results, all inside a single Claude conversation. For the hottest leads it goes one step further and drafts a suggested outreach message built on the quote it found, so you’re editing a first line instead of writing one.
Prompts that trigger the Claap Sales Opportunity Detector
There’s no special command to memorize. The skill activates whenever your prompt matches its trigger phrases, in French or English, and Claude loads it on its own.
A few prompts that work:
- “Find sales opportunities in my Claap calls from the last two weeks”
- “Who mentioned switching away from their note-taker in recent recordings?”
- “Scan my Claap transcripts for buying signals and export a CSV”
- “Analyse mes transcripts pour trouver des leads”
Adding account names, date ranges, or specific signal types to your prompt narrows the scan. More context tends to sharpen the output.
Reading the ranked opportunity table and CSV output
A finished scan returns two things: an inline table sorted by score, highest first, and a downloadable CSV with 10 fields. Here’s what each one means:
- nom_entreprise: company name, from recording metadata or Claap’s company search
- nom_prospect: the main non-rep participant on the call
- score: total signal points for that call
- niveau: priority level (hot, warm, or weak signal)
- signaux_detectes: the specific signal IDs that fired, like T1-B or T2-A
- intent_detecte: a one-line summary of what got detected
- citation_precise: the exact prospect quote behind the score, never paraphrased
- message_suggere: a suggested outreach message for the highest-scoring leads, written around that quote
- date_call: when the call happened
- lien_recording: a direct link back to the Claap recording
Below the table, the skill prints a short summary: calls analyzed, calls with signals, breakdown by priority tier. The CSV is UTF-8 encoded and named with the scan date, so it drops straight into a spreadsheet or another tool with no reformatting.
Turning detected opportunities into outbound campaigns
A ranked list only matters once someone acts on it. The next move is building outbound around the exact signal the skill flagged.
Adding scored leads to a multichannel sequence
Export the CSV and upload it to lemlist, or connect lemlist MCP and push leads directly into a campaign without the export step. The signal data (intent summary, verbatim quote, priority level, suggested message) becomes custom variables inside that campaign. From there, a multichannel sequence can run across email, LinkedIn, calls, and SMS in one workflow.
Personalizing outreach with call context
This is where the workflow earns its keep. Instead of a generic opener, your first message can quote what the prospect actually said on a recorded call. lemlist’s enrichment agents layer on additional context from LinkedIn, company sites, and CRM records, so the message combines what they said with who they are.
💡 Tip: Running lemlist alongside Claap through MCP lets you go from signal detection to a live campaign inside a single Claude conversation. No CSV export required.
How this skill compares to Claap’s native deal scoring
Claap already analyzes every customer interaction to surface buying signals, objections, and deal risk on its own, and it has the user base to back that up: Claap’s revenue intelligence page carries a 480+ reviews on G2 badge, and Claap’s homepage states that 10,000+ sales reps run their deals on the platform. So why add a separate skill?
First, some context on why lemlist writes about a tool that looks like a third party. Since lemlist’s acquisition of Claap in October 2025, a self-funded deal that Crowdfund Insider valued between $15 million and $30 million (Lemlist Acquires AI Platform Claap | Crowdfund Insider), the two products are built to work together rather than against each other. If you want the official version of how lemlist and Claap work together, that page spells out the split.
The short answer on the skill: the two approaches solve different problems.
Claap Sales Opportunity Detector (Claude Skill) | Claap native revenue intelligence |
|---|---|
Scope | Batch scan across many calls at once |
Output | Ranked CSV, campaign-ready lead list |
Best for | Finding hidden pipeline in past recordings |
Customization | Edit the SKILL.md to change signal criteria |
Action layer | Feeds into outbound tools like lemlist |
Each one owns a different job. Use the skill to sweep back through your call library for pipeline you missed. Use Claap’s native scoring to keep tabs on deals already moving.
Customizing the signal criteria for your product and ICP
The default SKILL.md is tuned for Claap’s own sales motion, which means it’s probably not a perfect fit for yours. That’s fine, the file is meant to be edited.
Editing signal keywords in the SKILL.md file
Open the SKILL.md, find the three signal tier tables, and swap in your own keywords. Selling project management software instead of a call recorder? Replace “Gong/Fireflies/Otter” with your category’s competitors, and swap CRM-filling pain points for whatever your product actually solves. The scoring logic stays the same regardless of the words plugged in.
Adding or removing signal tiers
A Tier 0 for deal-closing signals, budget confirmation or timeline commitment, is an easy addition. Tier 3 can go if competitor mentions create too much noise. Point weights are adjustable too: a team selling on urgency might weight growth signals heavier, while one running expansion plays might push tool dissatisfaction to the top.
Start detecting sales opportunities in your Claap calls today
The full loop: record calls in Claap, install the skill, run a scan, act on what it finds. Feed the output into lemlist and outreach can go out across channels, built around real call context instead of a guess.
Start a 14-day free trial to see how lemlist turns detected signals into live campaigns.
Frequently asked questions
Is Claap a lemlist product?
lemlist acquired Claap in October 2025, and lemlist’s own Claap page is direct about what that means in practice: Claap isn’t a lemlist feature, it’s a separate tool with its own pricing, and the two are designed to run together.
Does the Claap Sales Opportunity Detector work with recordings from other platforms like Gong or Modjo?
No. The skill only fetches transcripts through the Claap MCP, so it’s limited to recordings already in your Claap workspace. lemlist’s Claude Skills library has separate skills for transcripts pasted in from other sources.
Can multiple team members run the skill on the same Claap workspace?
Yes, as long as each person has their own Claude environment connected to Claap MCP. The MCP is a permissioned window into data you can already see, not a shortcut around access controls, so each scan only covers recordings that person can view.
How often is it worth running opportunity detection scans?
Weekly or biweekly works for most teams. The skill defaults to a 30-day window, so a weekly cadence catches new recordings while overlapping with calls already scanned. High call-volume teams might run it more often with a shorter window.
Does the skill detect buying signals in languages other than English?
Yes. It works in whatever language the call was recorded in, and the default SKILL.md already includes French and English trigger phrases. Keywords for other languages can be added to the signal tables if your team runs calls in more than those two.
Final thoughts
Run one scan this week. Set the window to 30 days, cap it at 50 calls, and read only the rows scoring 6 or higher. If two of them turn into replies, the grid earned its place in your stack, and you can start editing the keyword tables to match your market. If none do, you’ve lost twenty minutes and learned something about how your reps are handling signals live on the call.
lemlist is rated 4.6/5 on G2 and other review platforms, based on 2,000+ reviews.
Start a 14-day free trial and turn the hot rows into a running campaign.
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