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
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add aaron-he-zhu/aaron-marketing-skills/plugin install aaron-marketingWrote 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/outreach-manager)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/outreach-manager"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/outreach-manager/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/outreach-manager"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/outreach-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00134 | $0.04754 |
| Opus 5 | $0.00067 | $0.02377 |
| Sonnet 5 | $0.00027 | $0.00951 |
| Haiku 4.5 | $0.00013 | $0.00475 |
Grade A, and why
outreach-manager 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 10d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Outreach Manager
Craft personal, professional, persistent outreach; manage negotiations; track relationship progress. Home discipline is influencer (creator outreach), and the same mechanics engine — personalization, multi-touch cadence, negotiation scripts, pipeline tracking — serves media/analyst and launch-partner targets when press-media-relations hands over its media list, angles, and embargo terms, and social-selling / advocate-recruitment targets when social-selling-planner or advocacy-program-designer hands over a warm 1:1. The list, the angle, and the embargo stay with the handing-off skill; this skill owns the pitch execution.
Quick Start
Shortest invocation:
Write an outreach message to @[influencer] for [campaign]
Negotiate a gap between ask and budget:
Help me negotiate with @[influencer] who is asking for $[X] when our budget is $[Y]
Skill Contract
- Reads: a stable opaque
creator_refwhen one is carried by an authorized upstream artifact, plus transient target handle/profile locator(s), platform, follower count, niche; campaign and product context; compensation type and budget; deliverables and timeline; jurisdiction, intended channel, lawful-basis reference, contact-source/eligibility evidence, and pseudonymous consent subject ID; any prior contact history supplied by the user or loaded from memory. For a rostered creator, reuse a creator-registry aggregate ID only when its identity link is verified, resolve it through the authorized artifact or verified registry link, then checkmemory/creators/<aggregate-id>.md— the creator-registry projection — for the confirmed contact path, last agreed rate, and negotiation/response history. Never derive the path from a raw handle. - Writes: return the outreach artifact inline by default; save it to
memory/influencer/outreach-manager/YYYY-MM-DD-<topic>.mdonly with exact WARM-save authorization. Reuse an explicitly carried opaquecreator_ref, or a verified creator-registry aggregate ID; otherwise generate one randomcreator-<UUIDv4>once for this lineage. Never derivecreator_reffrom a raw handle, name, profile URL, email, provider ID, or deterministic hash. Before saving, replace raw locators and resolved recipient identities with the stablecreator_refand resolvable opaquerecipient_ref,contact_source_ref,handle_ref, and evidence/approval references. A raw URL or handle is never a persistedsource_ref. When no authorized source artifact or verified registry link can resolve an opaque identity/contact ref, setidentity_status: unresolved, save no hidden raw-locator mapping, setcross_session_locator_required: true, and request the transient locator again at dispatch. Never persist a raw handle, name, profile URL, email, phone, postal address, provider ID, or credential. When a cycle closes, each outcome update (final agreed rate, response history, confirmed contact-path reference) requires a separate exact authorization for anoperation: proposerequest tomemory/events/creators.ndjson; onlycreator-registrywrites canonical roster records. - Promotes: only with separate exact authorization, promote durable facts (confirmed partners, agreed rates, top objection patterns, response-rate baselines) to
memory/hot-cache.md. - Done when:
- A personalized pitch (plus at least one variation) exists for each target influencer.
- Every personalization fact records
source_refandobserved_at; unverifiable facts remain placeholders or are omitted. - A follow-up cadence and pipeline status are recorded for every contacted creator, including terminal no-contact states.
- Jurisdiction, channel, lawful basis, and contact eligibility are explicit; any send/schedule remains gated by exact approval and a live suppression check.
- Confirmed partners are flagged with agreed terms for handoff.
- Primary next skill: contract-helper
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.
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.
- 10d ago Changed · +49 lines 30e4d0e00e75
- 13d ago First seen · 119 lines · 134 tokens per session scan A d55343c49271
outreach-manager 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 134 tokens to every session and 4,754 once invoked, about $0.0007 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 2026-08-30.
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.