post-show-followup

post-show-followup is a skill for Claude Code, Codex from LensmorOfficial/trade-show-skills. It costs 19 tokens per session (2,063 once invoked), scanned A, original, MIT.

A tool that creates follow-up email sequences for hot, warm, and cold trade-show leads.

In plain words
What is it for?
Use it in the first 24–48 hours after a show to write tiered follow-up sequences. It can use lead classifications, booth conversations, sales-cycle details, and CRM formatting needs.
Why use it?
It helps teams contact leads soon after the event with messages matched to the strength of each conversation. This avoids treating every contact as if they had the same level of interest.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it in the first 24–48 hours after a show to write tiered follow-up sequences. It can use lead classifications, booth conversations, sales-cycle details, and CRM formatting needs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lensmorofficial/trade-show-skills/post-show-followup
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add LensmorOfficial/trade-show-skills --skill post-show-followup
Clone the repo
git clone --depth 1 https://github.com/LensmorOfficial/trade-show-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for post-show-followup

README.md
[![agentmods](https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/post-show-followup/github.svg)](https://agentmods.dev/skills/lensmorofficial/trade-show-skills/post-show-followup)
Your own site
<a href="https://agentmods.dev/skills/lensmorofficial/trade-show-skills/post-show-followup"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/post-show-followup/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for post-show-followup

Your own site · 80×15
<a href="https://agentmods.dev/skills/lensmorofficial/trade-show-skills/post-show-followup"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/post-show-followup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,063 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.02063
Opus 5.5 $0.00008 $0.00825
Sonnet 5.5 $0.00004 $0.00413
Haiku 4.5 $0.00002 $0.00206

Measured 1mo ago against content hash cfa15fd095bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

post-show-followup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

post-show-followup/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Post-Show Follow-up

Generate tiered follow-up email sequences that convert trade show conversations into pipeline — sent within the critical 48-hour window when you're still fresh in their memory.

Why This Matters

Many trade show leads never receive timely, relevant follow-up. Of those that do, many get a generic "Great meeting you!" email that goes nowhere. This skill creates targeted sequences based on how warm the lead actually is.

When this skill triggers:

  • Use it in the 24-48 hour window after the show, once leads are tiered or at least roughly segmented
  • Use it after badge-qualifier if you want tier logic grounded in actual booth notes
  • Do not use it to qualify raw leads from scratch; do that first in badge-qualifier

Example Requests

  • Write follow-up emails for my trade show leads
  • 帮我写展后跟进邮件
  • Messe-Nachfassung schreiben
  • 展示会後フォローアップメール
  • emails de seguimiento post-feria

Workflow

Step 1: Understand the Context

Extract from the user's request:

Required:

  • Show name (just completed or about to end)
  • What they were showcasing / selling

Helpful:

  • Lead tiers — does the user already have a system? (e.g., hot/warm/cold, or A/B/C)
  • Typical deal cycle — quick transactional vs. 6-month enterprise
  • CRM they use (affects formatting and merge tags)
  • Any specific conversations they want to reference

If the user just says "help me follow up after MEDICA", generate three sequence templates with visible placeholders for missing facts. Do not invent lead counts, conversation details, or qualified tiers.

Step 2: Define Lead Tiers

Preserve supplied qualified tiers. For raw notes, count confirmed buying involvement, explicit need, and a stated timeline: three signals = Hot, two = Warm, zero or one = Cold. A title or resource request alone does not establish buying involvement. Use badge-qualifier when available for a fuller lead card; this skill can apply the same rules without requiring another installed skill.

Read the full file on GitHub · 192 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · +2 lines · -86 tokens per session cfa15fd095bb
  2. 2mo ago First seen · 190 lines · 105 tokens per session scan A 833c1e6a6bdf

Subscribe to this mod's changes

post-show-followup is a skill published in the GitHub repository LensmorOfficial/trade-show-skills (49 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 2,063 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

post-show-followup compared with skills from other repositories

post-show-followup next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
post-show-followupLensmorOfficial/trade-show-skillsSkill491mo agoMITA19Claude Code, Codex
mcp-host-styling-integrationa5c-ai/babysitterSkill1.9k5d agoMITA44Claude Code
cog-knowledge-consolidationa5c-ai/babysitterSkill1.9k5d agoMITA19Claude Code
formula-authoringa5c-ai/babysitterSkill1.9k5d agoMITA28Claude Code
quality-hooksa5c-ai/babysitterSkill1.9k5d agoMITA53Claude Code
ops-arLifecycle-Innovations-Limited/claude-opsSkill5484d agoMITA29Claude Code
ops-marketingLifecycle-Innovations-Limited/claude-opsSkill5484d agoMITA29Claude Code