topic-brainstormer

Solid

Generate blog topic ideas: problem mining, gap analysis, expansion.

AI & Automation 392 stars 36 forks Updated today MIT

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Quality Score: 94/100

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Description 5%
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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. --- ## Reference Loading Table | Signal | Load These Files | Why | |---|---|---| | tasks related to this reference | `content-filter.md` | Loads detailed guidance from `content-filter.md`. | | tasks related to this reference | `priority-scoring.md` | Loads detailed guidance from `priority-scoring.md`. | | tasks related to this reference | `topic-sources.md` | Loads detailed guidance from `topic-sources.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. Document: ```markdown ## Content Landscape Posts found: [N] Content clusters: [list main themes] Technologies covered: [list] Last post date: [date] ``` **Step 2: Identify available sources** Determine which topic sources have m...

Details

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

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