topic-brainstormer

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

SKILL.md

GitHub

Topic Brainstormer

Generate blog topic ideas that align with a content identity built around solving frustrating technical problems. Three phases: ASSESS, DECIDE, GENERATE. Every topic must pass the three-question content quality filter before presentation.

Deep References

Signal Load Content
Filtering topics: three-question test, category examples references/content-filter.md Full quality filter with green/red/yellow topic categories, salvage patterns
Scoring: impact, vex, resolution matrix references/priority-scoring.md Rubrics per dimension, score ranges, calibration, worked examples
Mining: problem sources, gap analysis, expansion references/topic-sources.md Mining prompts, signal strength, gap types, expansion strategies

Phase 1: ASSESS

Gather context about existing content and available sources.

  1. Read all posts in the content directory. Document post count, content clusters, technologies covered, last post date.
  2. Identify available sources: problem mining (recent debugging, errors, config struggles), gap analysis (cross-references leading nowhere), tech expansion (adjacent technologies).
  3. Extract all "see also" and cross-reference mentions. Flag any pointing to content that does not exist.

Gate: Content landscape documented, at least 2 sources identified with material.

Phase 2: DECIDE

Generate candidates and filter through the content quality test.

  1. Mine 5-10 raw candidates from at least 2 sources. Capture: source type, raw topic, initial vex signal.
  2. Apply the content quality filter -- every candidate must answer YES to all three:
    • Was there genuine frustration? Real time lost, failed attempts, unclear docs, unexpected behavior.
    • Is there a satisfying resolution? Clear fix, understanding gained, prevention strategy, "a-ha moment."
    • Would this help others? Reproducible problem, actionable solution, relatable frustration.
  3. Reject failing candidates. Document each rejection: topic, failed question, reason.

Failure modes to catch:

  • Tutorial-only topics: "How to Set Up X" with vex listed as "learning a new tool" is not genuine frustration. Find the specific friction. "Hugo Local Build Works But Cloudflare Deploy Fails" has real vex.
  • Opinion without experience: "Why Go Is Better Than Python" is debate, not experience. Ground in measurement.

Gate: At least 3 candidates pass. Fewer than 3 -- return to Step 1 with different sources.

Phase 3: GENERATE

Score, prioritize, and present the filtered list.

Scoring: Priority = Impact(1-5) x Vex(1-5) x Resolution(1-5). Thresholds: 60-125 HIGH, 30-59 MEDIUM, 15-29 LOW, 1-14 SKIP.

Titles: Replace vague categories with failure-mode titles. Bad: "Kubernetes Networking Issues". Good: "Pod-to-Pod Traffic Works But Service Discovery Fails".

Output format: Grouped by priority tier. Each topic: title, vex, joy, content cluster fit, word estimate, score breakdown. End with recommendations: top pick, quick win, deep dive.

Tie-breaking: prefer topics that fill an existing gap, complement recent posts, use already-covered technologies, have clearer narrative structure.

Gate: All topics scored, prioritized, presented with recommendations.

Angle Lenses Mode

When the task asks for angles on a single topic (not fresh candidates), apply these six lenses instead of the content quality filter:

Lens Question
Perspective shift Whose view changes the story?
Ladder of abstraction One rung up (the trend) or down (the single case)?
News values Which value carries it: conflict, proximity, novelty, impact, human interest?
Data angle What does the dataset say that the narrative misses?
Contrarian What if the consensus framing is wrong?
Timeliness peg Why now? What event or deadline makes this urgent?

Rules: one lens per kept angle (distinctness is structural). Each kept angle must pass the "so what?" gate -- one sentence naming a concrete reader payoff. Log refused angles with reason.

Error Handling

Error Cause Solution
No existing posts Content directory empty Focus on problem mining; ask about recent debugging sessions
All candidates fail filter Sources lack frustration signals Ask probing questions: "What broke recently?" Shift sources.
Topic too broad Category, not a specific problem Break into failure modes: "[A] works but [B] fails"
Resolution unclear Ongoing issue, no fix yet Defer until resolved; or assess if "understanding the workaround" suffices