series-planner

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Plan multi-part content series: structure, cross-linking, cadence.

AI & Automation 425 stars 46 forks Updated yesterday MIT

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Skill Content

# Series Planner Skill Plan multi-part content series: assess viability, select structure, produce plan with cross-linking and cadence. Three phases with strict gates. ## Deep References | Signal | Load | Why | |---|---|---| | Publishing frequency, delay handling | `references/cadence-guidelines.md` | Schedule selection criteria | | Navigation links, Hugo implementation | `references/cross-linking.md` | Prev/next nav, shortcodes, landing pages | | Plan output format | `references/output-format.md` | Complete plan template | | Series types, selection matrix | `references/series-types.md` | Three type templates with examples | ## Usage ``` /series [topic] /series --type=progressive [topic] # Force type /series --parts=5 [topic] # Target count /series --with-landing [topic] # Include landing page /series --minimal [topic] # Titles and scope only ``` ## Phase 1: ASSESS Determine viability and natural divisions. 1. Analyze topic: scope (narrow/medium/broad), natural divisions, audience progression. 2. Check viability: minimum 3 distinct subtopics, each stands alone, logical progression exists, no filler. 3. Detect series type: | Signal | Type | |--------|------| | learn, master, deep dive | Progressive Depth | | build, create, project | Chronological Build | | why we chose, migration, debugging | Problem Exploration | **Gate**: 3+ natural divisions identified. If fewer, recommend single post or scope adjustment. ## Phase 2: DECIDE ...

Details

Author
notque
Repository
notque/vexjoy-agent
Created
6 months ago
Last Updated
yesterday
Language
Python
License
MIT

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