# Gtm Pipeline:demo > Generate a demo lead list of ~10 enriched contacts with personalized message examples. Use when a demo is requested, a webhook prompt describes a target audience, or someone asks to "create a demo for [client]". Enforces demo mode restrictions (email only, no phone, ~10 contacts). Chains people-search → contact-filter → people-enrichment → (optional signal-search) → message generation. Pass `--wi… - **Type:** Skill - **Install:** `agentstack add skill-keinsaasforever-gtm-pipeline-skills-gtm-demo` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [keinsaasforever](https://agentstack.voostack.com/s/keinsaasforever) - **Installs:** 0 - **Category:** [Communication](https://agentstack.voostack.com/c/communication) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [keinsaasforever](https://github.com/keinsaasforever) - **Source:** https://github.com/keinsaasforever/gtm-pipeline-skills/tree/main/skills/gtm-demo - **Website:** https://www.keinsaas.com/de/research-agent ## Install ```sh agentstack add skill-keinsaasforever-gtm-pipeline-skills-gtm-demo ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Demo Generate a demo lead list of ~10 enriched contacts with personalized message examples, triggered by a webhook prompt. **Read `~/.claude/skills/gtm-pipeline/_shared/conventions.md` before executing.** --- ## When to Use - Webhook trigger: user submits a free demo form describing their target audience - Goal: prove the AI agent writes authentic, non-generic outreach using real leads - Scope: ~10 contacts, enriched with LinkedIn + email, 2–4 message examples ## Demo Restrictions - **No phone enrichment** — email only - **~10 contacts** (request 10–15, expect enrichment drop-off) - Message generation is optional but recommended - **Signal search is opt-in** — off by default. Enable via `--with-signals` flag or explicit user request. See Step 5.5. --- ## Step 1 — Parse the Prompt & Ask Discovery Questions The webhook prompt describes the user's target audience. Before running anything, extract or ask for: **Must have:** - What do you sell / offer? - Who is your ideal customer? (industry, role, company size, location) - What's your value proposition? - What tone? (formal vs. casual, examples if possible) - Is this for recruiting OR selling to customers? **If not in the prompt, infer or ask:** - Target job titles - Target location - Target company size or type Do NOT proceed to search until ICP is clear enough to build a meaningful filter. **Save ICP to:** `{client-slug}-gtm/context/icp.md` --- ## Step 2 — Create Working Directory Create the `{client-slug}-gtm/` directory structure as defined in `conventions.md`. Write the ICP definition to `context/icp.md`. --- ## Step 3 — People Search (10 contacts) Use the **people-search** skill to find ~10–15 contacts. **Provider selection for demo:** - Prefer **BetterContact Lead Finder** or **FullEnrich Finder** — both return LinkedIn URLs directly, needed for email enrichment - If no company list (persona-based prompt), use **Parallel FindAll** or **BC Search** **Key fields to collect:** ``` full_name, first_name, last_name, job_title, company_name, company_domain, linkedin_profile_url, location ``` Follow the people-search execution protocol: sandbox → test → review → run. --- ## Step 4 — Contact Filter (ICP Ranking) Run **contact-filter** on the 10–15 contacts found. Even small batches benefit from ICP ranking — it ensures the enrichment step focuses on the best-fit contacts. - Applies job tier, industry tier, location tier, and company size classification - Rejects hard non-ICP contacts - Ranks passed contacts by priority - Output: `csv/intermediate/contacts_filtered.csv` For demos: use a relaxed hard-reject threshold (allow tiers 1–5 to pass), prioritize ranking over filtering. --- ## Step 5 — People Enrichment (Email Only) Run **people-enrichment** on the filtered contacts. **Demo mode: email only, no phone.** Recommended flow: 1. FullEnrich v2 (email) — all contacts 2. Pipe0 waterfall — for FE misses only Additional enrichment for message personalization (if available): - LinkedIn headline and summary (from LinkedIn scrape via PhantomBuster) - Recent LinkedIn posts (2–3 per contact) — significantly improves message quality **Minimum viable fields for message generation:** ``` name, job_title, company_name, linkedin_profile_url, headline (optional), summary (optional), recent_posts (optional) ``` --- ## Step 5.5 — Signal Search (Optional) **Default: OFF.** Enable when: - The user explicitly asks for signal-anchored messages - The webhook prompt mentions buying triggers (funding, hiring, transformation, recent news) - The client's offering depends on timing signals to make sense (e.g. "we help post-Series-A companies scale ops") - A `--with-signals` flag is passed to the demo invocation **Cost note:** adds ~$0.01–0.05 per unique company (web search + scoring). On a 10-contact demo, that's typically 5–10 unique companies, so = 70 signal anchored in real recent news is the strongest hook the demo can produce. ### Generation Process 1. Write a client-specific system prompt (save to `prompts/message_prompt.md`) 2. Generate 2–4 samples — include contacts with and without LinkedIn posts 3. Review against quality checklist above 4. If issues found, refine the system prompt and regenerate 5. **Only batch generate once quality is approved** ### System Prompt Template (key sections) ``` - Client context: what they sell, who they target, their value prop, tone - Forbidden rules: no profile repetition, no generic flattery - Message structure: hook → bridge → offer → CTA - Hook examples: with posts / without posts - Character limit: 320–450 ``` --- ## Step 7 — Output Deliver: 1. **CSV** at `csv/output/contacts_enriched.csv`: lead data + generated messages 2. **Google Sheet** (optional): formatted for easy review ### Output CSV Columns ``` name, first_name, last_name, location, headline, summary, linkedin_url, email, email_status, company_name, job_title, post_1_content, post_1_date, post_2_content, post_2_date, generated_message, char_count, has_posts ``` Messages saved separately to `csv/output/messages.csv`. --- ## Quality Checklist (Before Delivering) - [ ] Messages feel personal, not templated - [ ] No profile info repetition - [ ] Clear value proposition in every message - [ ] Proper formatting (line breaks, character count 320–450) - [ ] Hook differs between contacts (no copy-paste structure) - [ ] All data fields populated correctly - [ ] Client-specific context incorporated --- ## Trigger Context **Webhook (demo form):** Free demo trigger — user describes their ICP in a text prompt. Run this skill with ~10 contacts and 2–4 message samples. **Stripe payment (full list):** After successful payment, run the full pipeline via the `pipeline` skill. See pipeline skill for orchestration. --- ## What's Missing (To Document) - LinkedIn post scraping via PhantomBuster API (launch, poll, download) - Automated webhook integration (currently manual trigger) - Stripe payment trigger integration ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [keinsaasforever](https://github.com/keinsaasforever) - **Source:** [keinsaasforever/gtm-pipeline-skills](https://github.com/keinsaasforever/gtm-pipeline-skills) - **License:** MIT - **Homepage:** https://www.keinsaas.com/de/research-agent Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-keinsaasforever-gtm-pipeline-skills-gtm-demo - Seller: https://agentstack.voostack.com/s/keinsaasforever - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.