aaron-marketing-skills is a collection of 120 AI-agent skills covering marketing work such as brand narrative, search optimization, social media, email, advertising, influencer campaigns, and launches. Marketers and agent users can install it as a plugin, use its portable skills, or run its described bot team. The catalogue entries are components of this marketing workflow.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skillsnpx agentmods add skills/aaron-he-zhu/aaron-marketing-skills/launch-day-conductorWrote 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.
[](https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/launch-day-conductor)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/launch-day-conductor"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/launch-day-conductor/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.
<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/launch-day-conductor"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/launch-day-conductor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00184 | $0.03073 |
| Opus 5 | $0.00092 | $0.01537 |
| Sonnet 5 | $0.00037 | $0.00615 |
| Haiku 4.5 | $0.00018 | $0.00307 |
Grade A, and why
launch-day-conductor 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Launch Day Conductor
Runs the launch-day war room — the Mobilize step of the RAMP loop where the launch stops being a plan and becomes a sequence of irreversible actions. It takes the SHIP verdict and the authoritative date as hard pre-conditions, turns the channel plan into a dated hour-blocked runbook with owners, forces a binary CONTINUE-or-ROLLBACK verdict after every irreversible push, and consolidates the day into a snapshot plus a batch of registry proposals. It feeds the RAMP M runbook sub-item — launch-day runbook hour-blocked (act/watch/consolidate) with owners and forced go/rollback observation windows — and works that one lever, then hands off.
Scope guard: this skill conducts the day; it does not create the day's content or its data. Channel submission copy and platform-rule handling belong to community-launch-runner; media pitches and journalist replies belong to press-media-relations; telemetry itself comes from launch-monitor and own analytics — this skill consumes those reads and adjudicates, it never builds the instrumentation. It does not compute the RAMP profile result or run the RAMP vetoes (launch-readiness-auditor already did, upstream), and it never writes canonical registry files — launch-registry is the sole writer; this skill submits proposal events to memory/events/launches.ndjson via an authorized operation: propose request to registry-events.py only.
Quick Start
Run my launch day for [product] on [date]. Gate verdict: SHIP (on file). Channels going live: [list]. Owners: [names].
Build a dated hour-blocked launch-day runbook for a [T1/T2/T3] launch — morning pushes, daytime monitoring loop, evening consolidation, owner per row.
We shipped the release 20 minutes ago. Here is the error rate and signup funnel export — CONTINUE or ROLLBACK?
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.
- 9d ago First seen · 90 lines · 184 tokens per session scan A 9442c5282678
launch-day-conductor is a skill published in the GitHub repository aaron-he-zhu/aaron-marketing-skills (2,767 stars, last pushed today), licensed Apache-2.0. It adds 184 tokens to every session and 3,073 once invoked, about $0.0009 per session on Opus 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 2026-09-03.
Other skills, from other repositories
geo-visibility-check
One-shot GEO audit: does your brand appear in Claude, ChatGPT, and Gemini answers for the buyer questions that matter? Runs a prompt panel through the engines with citation tracing and reports per-prompt verdicts, who wins instead, and which sources the answers come from.
geo-optimizer-skill
Run geo audit first. It scores the site 0–100 across 8 categories and generates a prioritized action list.
geo-loop
Run one bounded eGEOagents loop iteration over a workspace domain - read the charter and fresh collector data, do ONE unit of work, write substrate artifacts, append one Timeline entry and one LOG line. Use for loop mode, /geo:loop, scheduled GEO runs, or continuous monitoring.
content-scoring
Score content against the 10 GEO criteria with evidence and prioritized fixes. Use when users ask to score, rate, evaluate, or estimate ranking strength.
competitive-analysis
Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.
schema-generator
Generate JSON-LD schema markup for pages and content types with an implementation checklist. Use when users ask for schema, structured data, rich snippets, or markup.