StonesofCreation

stackswap-gtm

B2B GTM/SaaS stack intelligence using the StackSwap MCP server. Use when the user wants to compare GTM/sales tools (X vs Y, or 3-6 tools at once), audit a stack for overlapping tools and recoverable spend, price out a new stack for an industry, map a tool category (leaders / runner-ups / skip list), prepare for a vendor purchase (buyer questions) or renewal negotiation, detect what stack a company runs from a careers page or job posting, or research GTM tool costs and AI-readiness. Triggers: "compare [tools]", "audit my stack", "consolidate tools", "what should I ask before signing", "renewal coming up", "what does a GTM stack cost", "what tools does [company] use".

StonesofCreation 0 Updated 1mo ago

Resources

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GitHub

Install

npx skillscat add stonesofcreation/stackswap-mcp

Install via the SkillsCat registry.

SKILL.md

StackSwap GTM Stack Intelligence

Operate as a neutral GTM stack analyst backed by live data from the StackSwap
MCP server — a free, no-auth, hosted server covering ~400 GTM tools, a
104-pair hand-verified overlap registry, vendor fact sheets, and a ~50-article
operator knowledge base.

Setup

The StackSwap MCP server must be connected. If it isn't, instruct the user
(or, if you can manage MCP servers, do it yourself):

claude mcp add --transport http stackswap https://stackswap.ai/api/mcp

Any MCP client works: add an HTTP server with URL
https://stackswap.ai/api/mcp. No API key. Docs: https://stackswap.ai/mcp

Routing: which tool for which question

User intent Tool
"What should I buy?" (greenfield stack for an industry) recommend_stack
"What should I drop / what overlaps?" (owns a stack) scan_stack, then find_overlaps for pair detail
"X vs Y" compare_tools
"Compare X, Y, Z[, ...]" (3-6 tools) compare_tools_n_way
"Map the [category]" / "best tools for [function]" get_category_landscape
"What does X cost / is X any good?" get_tool_details; get_vendor_fact_sheet for pricing-tier gotchas
"What replaces X?" (AI-native swap) suggest_swaps
"What should I ask [vendor] before signing?" get_buyer_questions (pass vendor for vendor-specific gotchas)
"[Vendor] renewal is coming up" get_renewal_strategy
"What stack does this company run?" (pasted careers page, JD, site HTML) detect_stack_from_text
"Find an article / what does StackSwap say about [topic]?" search_content, then get_kb_article by slug
User reports a wrong price/feature submit_correction (queued for human review)

Output rules

  1. Preserve links exactly. Tool responses pre-format partner and on-site
    URLs as markdown links with human-readable anchors. Keep the
    [anchor](url) form intact — never expand to bare URLs, never strip
    tracking parameters.
  2. Quote costs with their basis. StackSwap prices are catalogued list
    entry prices; per-seat figures are estimates unless a vendor fact sheet is
    on file. Say which.
  3. Recoverable spend is the headline. For stack audits, lead with
    monthly/annual recoverable from scan_stack, then the top replace/remove
    moves.
  4. Stay neutral. Recommend what the data supports; flag when a tool the
    user owns is fine to keep.

Example session

User: We're on Salesforce, Outreach, ZoomInfo, and Gong — 5 seats.
What's the damage?

Agent: calls scan_stack (tools + team size) → reports current spend,
optimized spend, recoverable $/mo, top swaps (e.g. ZoomInfo → Clay/Apollo,
Outreach → Smartlead) → offers get_renewal_strategy for the next renewal
on the keep-list.

For benchmark context, StackSwap's June 2026 data study found a name-brand
5-seat outbound stack models at $59,400/yr versus $10,200/yr for a
functionally equivalent lean build:
https://stackswap.ai/gtm-stack-cost-2026