io.github.sarojkjhaPublished by GitHub account sarojkjhav1.2.1Updated Oct 29, 2026
Deterministic marketing math for AI agents: LTV:CAC, pipeline coverage, A/B tests, pricing.
Runs deterministic AAJ marketing math engines (LTV:CAC, pipeline coverage, A/B significance, pricing) and returns methods and verdicts for an assistant.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.sarojkjha%2Faaj-engines/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"aaj-marketing-engines": {
"type": "http",
"url": "https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp"
}
}
}Most marketing skills are writing instructions. They help an agent draft a page, an email or a plan, so keep them. These add the arithmetic underneath. The agent that drafts your pricing page can check whether the price still covers inference cost. The agent that writes the board update can compute the forecast instead of estimating it. Same input, same output, and code you can read.
Works with Claude Code, OpenAI Codex, Cursor, Windsurf, Cline and any agent that supports the Agent Skills spec. Free, MIT, no API key, and the engines make no network calls.
Built by Saroj Jha / AAJ. Browsable library at skills.aajconsult.com.
If an engine saves you a spreadsheet, star the repo. Stars are how other founders, and the directories agents search, find it. Questions and engine requests go in Discussions.
Renamed on Oct 11, 2026.
copywriting,marketing-psychology,programmatic-seo,marketing-loopsandsales-enablementare nowaaj-copywriting,aaj-marketing-psychology,aaj-programmatic-seo,aaj-marketing-loopsandaaj-sales-enablement. Another popular library publishes skills under the same five names, so with the prefix both install side by side. The hosted MCP server still answers to the old names.
Installs to .agents/skills/, and symlinks into .claude/skills/ for Claude Code.
Step-by-step instructions for every agent, Windows, Mac and Linux, and the hosted server: docs/install.md.
Then run any engine with no configuration at all:
Swap the demo values for your own and it works the same way.
From a clone of this repo, paths are
skills/<slug>/resources/…instead of.agents/skills/<slug>/resources/….
Claude Code. In Claude Code 2.1.275 or later, one line adds the marketplace and opens the plugin:
On earlier versions, run two commands:
The skills then appear as /aaj-marketing-skills:<skill>. The plugin also starts the local AAJ engines MCP server (platform/mcp/server.mjs, Node 18+), so Claude can call run_engine directly. It runs on your machine and AAJ receives nothing. Updates arrive when you run /plugin marketplace update aaj.
OpenAI Codex. Add the marketplace, then install the plugin (or browse it with /plugins inside Codex):
codex plugin marketplace upgrade aaj picks up new skills. Codex reads .agents/plugins/marketplace.json, and both clients load every skill in skills/.
Instead of installing the skills into a project, you can expose all 81 skills and all 66 engines to any MCP client — Claude Desktop, Claude Code, Cursor, Windsurf — as five tools:
Hosted, no install. Add this URL as a custom connector (a remote MCP server) in Claude, ChatGPT or any MCP client:
No sign-in. The server runs the engines in memory and keeps no copy of what you send (what happens to your data). In Claude: Settings → Connectors → Add custom connector. Then ask, for example, "Use the AAJ engines to check my unit economics: CAC $1,200, ARPA $300 a month, 80% gross margin, 3% monthly churn."
Local. Clone the repo and point your client at one file. Node 18+, no dependencies, no build step:
Your agent can then find the right method for a problem and run the math on your numbers, rather than estimating. Run locally, AAJ receives nothing; your agent's model provider still sees what you give the agent.
The engines are deterministic scripts. They make no network calls, write no files and take no actions in your tools; they compute and return text and JSON. Where your numbers travel depends on how you run them:
Don't pass customer names, emails or other personal data to an engine; none of them needs it.
Setup for each client, troubleshooting, and the smoke test:
platform/mcp/README.md.
Vendor MCP servers bring the data; the engines turn it into a verdict. Each recipe is a prompt to paste, a field-by-field mapping and the checks to make before you trust the result:
pipeline-and-forecast: weighted forecast, coverage against your win rate, and the lever to pull.ab-test-significance: sample size before the test, a verdict after it.aaj-programmatic-seo: whether a template-page build pays back.unit-economics: gross-margin LTV, CAC payback, and whether your economics support growth.Most agent skills are instructions. These are too — but 66 of them also ship a dependency-free Node script that does the arithmetic and returns a judgement.
Every engine accepts --demo (a worked example, no config), --help (the input schema), and a JSON payload for your own numbers. Engines validate input and fail loudly rather than returning a confident wrong answer.
E marks a skill with a runnable engine. Phase refers to AAJ's Diagnose → Design → Execute method.
Every runnable engine, and the command to try it:
Every skill is tagged to a phase, and the ordering is deliberate — the catalog refuses to let you execute before you have diagnosed.
If you do not know where to start, campaign-orchestrator diagnoses which play applies and sequences the rest for you.
New to the catalog? Run brand-product-context first. It builds the shared brief every other skill reads.
See AUTHORING_GUIDE.md for the standard every skill follows, and SKILL_TEMPLATE.md to start a new one.
MIT — use freely, commercially or otherwise.
Built by Saroj Jha / AAJ, a marketing consultancy for Seed–Series B startups. The Agent Skills spec and Corey Haines' coreyhaines31/marketingskills (MIT) were references for structure and topic coverage; all AAJ skills are independently written and grounded in AAJ's own tools and methodology.
Source: README.md at commit 304062b
List marketing engines
Lists every AAJ marketing engine: its id, the question it answers, and its category. Engines cover unit economics, pipeline forecast, budget allocation, retention, A/B significance, SEO/GEO scoring, ad spend and pricing.
categoryDescribe an engine's inputs
Shows one engine's input schema: required fields, units, alternative shapes, and a worked example. Engines reject bad input rather than guessing.
enginerequiredRun a marketing engine
Runs an AAJ engine and returns its verdict. Give `input` as an object of the engine's fields. Omit `input` to run the engine's built-in worked example. Engines are deterministic, offline, and validate their input — a wrong unit is reported as an error, not absorbed into a confident answer.
inputenginerequiredFind a marketing skill
Finds AAJ marketing skills by the problem they solve — 'churn is rising', 'we're launching next month', 'not showing up in AI answers'. Returns matching methods and marks which have a runnable engine.
limitqueryrequiredGet a skill's method
Returns the full method for one skill: when to use it, the steps, the quality bar, and how to run its engine if it has one.
skillrequired100% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
# everythingnpx skills add sarojkjha/aaj-marketing-skills
# one skillnpx skills add sarojkjha/aaj-marketing-skills --skill unit-economics
# see what's availablenpx skills add sarojkjha/aaj-marketing-skills --listnode .agents/skills/unit-economics/resources/unit-economics.js --demoAAJ Unit Economics -- subscription------------------------------------------------------Gross-margin LTV $13,333 (3.0% monthly churn (~33.3 mo lifetime))CAC $3,000LTV : CAC 4.4:1CAC payback 7.5 mo
[OK] LTV:CAC 4.4:1 is at or above the 3:1 floor.[OK] CAC payback 7.5 mo is within the ~12-month guideline for subscription./plugin install aaj-marketing-skills --marketplace sarojkjha/aaj-marketing-skills/plugin marketplace add sarojkjha/aaj-marketing-skills/plugin install aaj-marketing-skills@aajcodex plugin marketplace add sarojkjha/aaj-marketing-skillscodex plugin add aaj-marketing-skills@aajhttps://aaj-engines-mcp.sarojkjha10.workers.dev/mcp{ "mcpServers": { "aaj-engines": { "command": "node", "args": ["/absolute/path/to/aaj-marketing-skills/platform/mcp/server.mjs"] } }}