Distribution Engine
This file defines the ongoing distribution machine for PM AI Skill Toolkit.
Global reach will not come from repo cleanliness alone.
It comes from repeated, high-signal distribution loops.
Weekly Flywheel
Every week, publish:
- one real case breakdown
- one benchmark comparison or failure pattern
- one toolkit scenario demo
These three outputs cover:
- proof of value
- proof of rigor
- proof of usability
Monthly Cadence
Every month, publish:
- one benchmark update
- one version update
- one category-language reinforcement post
- one directory submission or refresh sweep
Core Content Units
Real Case Breakdown
Show:
- the user problem
- the chosen route
- the output structure
- what changed because of the workflow
Benchmark Comparison
Show:
- task
- expected route
- actual route
- key failure pattern
- what the benchmark teaches
Show:
- the scenario card
- the generated brief
- the mapped source
skill or command
- how it escalates from “web use” to “system use”
Distribution Targets
Maintain a repeatable submission and refresh list:
- awesome lists
- agent skill directories
- AI tool directories
- GitHub topics
- launch communities
- PM communities
The rule:
do not wait to be discovered.
submit, refresh, and re-explain.
What To Measure
- stars and forks
- profile clicks
- toolkit visits
- benchmark page visits
- copy actions from toolkit into agents
- inbound references from directories, lists, and social posts
Content Positioning Rule
Do not publish generic “AI for PM tips”.
Publish things that reinforce the category:
- PM Operating System
- Agent-native PM Workflow
- Commercialization Review Framework
- Pricing Packaging Brief
- PM Agent Benchmark
Owner Checklist
Before each week ends:
- did we ship one case?
- did we ship one benchmark artifact?
- did we ship one toolkit demo?
- did we push one directory or discovery action?
If not, distribution has stalled.
Execution Layer
Run the weekly work from: