series-planner
FeaturedPlan multi-part content series: structure, cross-linking, cadence.
AI & Automation 419 stars
44 forks Updated 2 days ago MIT
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Skill Content
# Series Planner Skill
## Overview
This skill plans multi-part content series with proper structure, cross-linking, and publishing cadence. It implements a three-phase workflow: **ASSESS** (determine viability), **DECIDE** (select structure), and **GENERATE** (produce plan). Each phase has gates to prevent scope creep, ensure standalone value, and maintain quality constraints.
---
## Reference Loading Table
| Signal | Load These Files | Why |
|---|---|---|
| choosing publication frequency and managing delays | `cadence-guidelines.md` | Loads detailed guidance from `cadence-guidelines.md`. |
| series navigation links and Hugo implementation | `cross-linking.md` | Loads detailed guidance from `cross-linking.md`. |
| writing the series plan output | `output-format.md` | Loads detailed guidance from `output-format.md`. |
| selecting series type, part count, word targets | `series-types.md` | Loads detailed guidance from `series-types.md`. |
## Instructions
### Usage
```
/series [topic or idea]
/series --type=progressive [topic] # Force series type
/series --parts=5 [topic] # Target part count
/series --with-landing [topic] # Include landing page plan
/series --minimal [topic] # Titles and scope only
```
### Phase 1: ASSESS
**Goal**: Determine whether the topic is viable as a series and identify natural divisions.
**Step 1: Analyze topic**
```markdown
## Series Assessment
Topic: [user-provided topic]
Scope: [narrow / medium / b...
Details
- Author
- notque
- Repository
- notque/vexjoy-agent
- Created
- 5 months ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- MIT
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