topic-brainstormer
FeaturedGenerate blog topic ideas: problem mining, gap analysis, expansion.
AI & Automation 419 stars
44 forks Updated 2 days ago MIT
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Quality Score: 95/100
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Skill Content
# Topic Brainstormer
## Overview
This skill generates blog post topic ideas that align with a content identity built around solving frustrating technical problems. It operates through three sequential phases (ASSESS → DECIDE → GENERATE) with **hard quality gates**: every topic must pass a three-question content quality filter before presentation. The output is always a prioritized list with impact/vex/resolution scores, never an unfiltered pile of ideas.
Core principle: **Assess-Decide-Generate with Domain Intelligence**. Gather signals from existing content and problem sources, filter candidates ruthlessly, then score and prioritize the survivors.
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## Reference Loading Table
| Signal | Load These Files | Why |
|---|---|---|
| filtering topics against blog identity: the three-question test | `content-filter.md` | Loads detailed guidance from `content-filter.md`. |
| scoring topics on impact, vex level, resolution | `priority-scoring.md` | Loads detailed guidance from `priority-scoring.md`. |
| mining topics: problems, gaps, technology expansion | `topic-sources.md` | Loads detailed guidance from `topic-sources.md`. |
| generating angles on one topic or story: six lenses, distinctness, "so what?" gate | `angle-lenses.md` | Loads detailed guidance from `angle-lenses.md`. |
## Instructions
### Phase 1: ASSESS
**Goal**: Gather context about existing content and available topic sources.
**Step 1: Scan existing content**
Read all posts in the content directory. Docume...
Details
- Author
- notque
- Repository
- notque/vexjoy-agent
- Created
- 5 months ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- MIT
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