outbound-engine
Skill1 starsChanged 6 months agoMITView on GitHub
Multi-channel outbound campaign system that orchestrates coordinated sequences across email, LinkedIn, and video. Use when: build outbound sequence for [persona], check deliverability for [domain], score this email copy, a/b test these subject lines, show reply classification breakdown, generate warmup schedule for [domain].
4 other projects use a version of this.
Adopted by
Most recently taken up by
- realjaymes/marketingagentskillstheir own version, first seen Nov 1, 2026
- LazyIsEfficient/agentic-ostheir own version, first seen Oct 22, 2026
- mrtomaito/majlis-decision-gatetheir own version, first seen Sep 24, 2026
- esmefong/gtm-skillstheir own version, first seen Aug 20, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- realjaymes/marketingagentskills★ 68same name
- LazyIsEfficient/agentic-os★ 17same name
- esmefong/gtm-skills★ 0same name
- mrtomaito/majlis-decision-gate★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository12 other files it gives its agents.
- content-opsSkill
- conversion-opsSkill
- creative-opsSkill
- finance-opsSkill
- growth-engineSkill
- podcast-opsSkill
- revenue-intelligenceSkill
- sales-pipelineSkill
- sales-playbookSkill
- seo-opsSkill
- team-opsSkill
- voice-guardSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Check deliverability for [domain]
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Outbound Engine
Multi-channel outbound campaign system that orchestrates coordinated sequences across email, LinkedIn, and video. Includes deliverability warmup planning, A/B subject line optimization, timezone-aware send scheduling, and expert panel copy scoring.
When to Use
- Build outbound sequence for [persona]
- Check deliverability for [domain]
- Score this email copy
- A/B test these subject lines
- Show reply classification breakdown
- Generate warmup schedule for [domain]
- Pause outbound to [company]
Workflow
- Infrastructure Audit -- verify domains, mailboxes, SPF/DKIM/DMARC, warmup status
- ICP & List Building -- define target persona, pull prospects from enrichment tools
- Sequence Design -- map multi-channel touchpoint sequence with timing and personalization tier
- Copy Creation -- draft email templates, LinkedIn messages, video scripts per sequence step
- Expert Panel Scoring -- 10 evaluators score copy. Target: 90/100 or 3 rounds max
- Subject Line A/B Setup -- create 3-5 variants per email step, define test batch size
- Warmup Verification -- confirm all sending domains have completed warmup ramp
- Timezone Mapping -- assign local timezone to each prospect
- Launch Sequence -- activate with human approval gate before first batch
- Monitor & Optimize -- track open/reply/meeting rates, rotate underperforming copy, pause flagged domains
Reference
Full methodology lives in README.md in this folder: configuration, scoring formulas, output formats, integration points, and worked examples. Read it before producing scored output.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.