Systems Lab

Agent skill

badge-qualifier

Qualify badge scans and booth notes conservatively into evidence-based lead tiers and follow-up cards.

activeReaches the webActs undeclared1,131 words

Filed under Outbound email.

From LensmorOfficial/trade-show-skills · 15 skill entries · 48 · pushed 2026-10-08

What it does when it runs

Qualify badge scans and booth notes conservatively into evidence-based lead tiers and follow-up cards.

Automated analysis of the skill and the 2 files bundled beside it. A skill’s own description is written to be selected by an agent, so it describes the job and not the dependencies.

Keys and connectors you must supply
None found.
Hosts it reaches
  • www.lensmor.com
Tool permissions it declares
No allowed-tools in the frontmatter. It does act, so it runs under whatever permissions your session already grants.
Actions present in the files
shell

Ask about badge-qualifier

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Is this safe to install?ClaudeChatGPT
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Rather ask a human? Talk to Cheetah
git clone --depth 1 --filter=blob:none --sparse https://github.com/LensmorOfficial/trade-show-skills.git /tmp/trade-show-skills
git -C /tmp/trade-show-skills sparse-checkout set "badge-qualifier"
mkdir -p ~/.claude/skills/badge-qualifier
cp -R "/tmp/trade-show-skills/badge-qualifier/." ~/.claude/skills/badge-qualifier/

Picked up without a restart. A project skill of the same name is shadowed by your personal one. For one repository only, swap ~/.claude/skills for .claude/skills. Claude Code docs ↗

The folder is the same in every client that implements the format — 46 of them — so if yours is not above, only the destination changes.

Reproduced in full from LensmorOfficial/trade-show-skills/blob/9a0c2f7966085984c142c7049e371522c2054dd2/badge-qualifier/SKILL.md, which is licensed MIT (skill frontmatter). 1,131 words, 10 headings.

Badge Qualifier

Transform raw booth conversation notes into a structured lead record — including tier, authority, fit, and next step — without inflating signals that aren't there.

When this skill triggers:

  • Use it during the show or immediately after to triage leads while the conversation is still fresh
  • Use it for live single-lead decisions or end-of-day batch qualification
  • Do not use it to write the outbound sequence itself; hand the result to post-show-followup

Example Requests

  • Score my booth leads
  • 给展会线索打分
  • Leads qualifizieren
  • リードを評価する
  • calificar leads de feria

Workflow

Step 1: Normalize Raw Input

Accept any of these input formats:

  • Typed booth notes ("Spoke with Sarah at Acme, she asked about pricing for 5 lines")
  • Badge or business card OCR text (name, title, company, contact details)
  • Voice transcript or dictated summary
  • A mix of all three

If the user pastes badge text only, treat it as contact-only — do not infer conversation depth that wasn't described.

Use supplied contact information only in the requested lead records. Do not upload badge images, notes, emails, or phone numbers to enrichment services or a CRM unless the user has authorized that destination. If sharing a worked example or public report, replace personal contact details with placeholders.

Extract and confirm these fields before proceeding:

  • Contact name (badge or notes; unknown if absent)
  • Job title (badge; unknown if absent)
  • Company (badge; unknown if absent)
  • How contact was made (scanned badge / brief chat / product demo / pricing discussion)

If critical fields are missing and the user is in a live session, ask a single clarifying question. If processing in bulk, mark as unknown and continue.

Step 2: Extract Structured Lead Facts

From the normalized input, pull explicit facts — not inferences:

FieldSourceRule
Name / Title / CompanyBadge or notesTranscribe exactly; mark as unknown if absent
Email / PhoneBadgeTranscribe only if present; never fabricate
NeedConversation notesOnly quote if explicitly stated; otherwise unknown
UrgencyNotes ("needs by Q3", "replacing system now")Only when a timeline is given
AuthorityExplicit role clues in notesA title alone does not establish buying involvement
Budget signalNotes onlyOnly if the contact or rep mentioned it
ICP fitCompare to ICP criteria if providedLow / Medium / High; explain why

Critical guard: if the input is a badge scan with no conversation notes, the output should reflect that — do not generate a "needs" field or urgency from a job title alone.

Step 3: Qualify Lead Conservatively

Apply a 4-signal score:

Authority — buying involvement supported by conversation evidence:

  • Decision Maker: explicitly owns approval, vendor selection, or the relevant budget
  • Influencer: explicitly participates in evaluation, requirements, or a buying-team recommendation
  • End User: explicitly uses the workflow, with no stated buying involvement
  • Unknown: buying role was not stated, including when a senior title is present

Record the supporting quote or note. A job title can guide a follow-up question but cannot supply the authority signal.

Need — was a problem or goal stated?

  • Explicit: they said what they're trying to solve
  • Implied: they attended a demo or asked product questions
  • None: badge scan only

Urgency — timeline signal:

  • Immediate: replacing something now, evaluating for current project
  • Planned: mentioned a future cycle, budget in planning
  • None: no timeline discussed

Fit — against ICP (if provided):

  • High / Medium / Low based on company type, size signals, and industry

Tier assignment:

TierCriteria
Hot (A)All three: Authority ≥ Influencer + explicit Need + Urgency signal
Warm (B)Any two of the three signals present (see combinations below)
Cold (C)Zero or one signal, or badge-only with no conversation

Warm tier signal combinations — any of these qualifies as Warm:

  • Authority ≥ Influencer + explicit Need (no timeline given)
  • Authority ≥ Influencer + Urgency (problem implied but not stated)
  • Explicit Need + Urgency (authority unknown — genuine conversation but buyer unclear)

Do not upgrade a lead based on a prestigious company name or impressive title alone. A C-suite badge scan with no conversation is still Cold. Unknown authority alone never elevates a tier.

Step 4: Produce Follow-up Handoff

Output a structured lead card as formatted Markdown (do not wrap in a code block — the card should render as readable text):

## Lead: [Name] — [Tier]

**Contact**
- Name: [name or unknown]
- Title: [title or unknown]
- Company: [company or unknown]
- Email: [email or unknown]
- Phone: [phone or unknown]

**Qualification**
- Authority: [Decision Maker / Influencer / End User / Unknown]
- Need: [explicit statement or "not stated"]
- Urgency: [timeline signal or "none discussed"]
- ICP Fit: [High / Medium / Low / Unknown — reason]
- Tier: [Hot / Warm / Cold]
- Follow-up Class: [Tier 1 / Tier 2 / Tier 3]
- Why this Tier: [1 short line grounded in the actual signals]

**Conversation Summary**
[2–3 sentences summarizing what was actually discussed. If only a badge scan, say so plainly.]

**Recommended Next Step**
[Specific action for the sales rep — not generic. If no conversation happened, suggest a low-commitment outreach, not a proposal call.]

**Unknowns to resolve**
[List any critical qualification gaps: budget, decision timeline, who else is involved]

If the user submits multiple leads at once, output one card per lead, then a brief Batch Summary at the end:

## Batch Summary
- Hot (A): X leads
- Warm (B): X leads
- Cold (C): X leads
- Immediate priority: [names for same-day follow-up]

Next step: the lead cards produced here can be fed directly into post-show-followup — the Hot / Warm / Cold tiers map to its Tier 1 / Tier 2 / Tier 3 sequences.

Quality Checks

Before delivering results:

  • Do not fill in unknown fields with plausible guesses — gaps are more useful than fabrications
  • A badge-only contact should never receive an Explicit need entry
  • Hot requires all three confirmed signals: buying involvement, explicit need, and urgency. Warm requires exactly two; zero or one is Cold
  • Recommended next step must match the tier (no demo calls for Cold leads)
  • If notes are ambiguous, surface the ambiguity rather than resolving it silently
  • Follow-up Class must match the lead tier: Hot → Tier 1, Warm → Tier 2, Cold → Tier 3

Files bundled with it

These load only when the skill asks for them, so they cost nothing until it runs.

Other skills for the same job

Different authors, same problem. Matched on the words in the skill name, across every library in the catalogue except this one.

Need help setting it up?

This page tells you what badge-qualifier does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.

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