topic-brainstormer

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

AI & Automation 412 stars 42 forks Updated 3 days ago MIT

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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 | |---|---|---| | 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
4 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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