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Topic Brainstormer · notque | DecimalAI

marketingby notque

Topic Brainstormer

notque/topic-brainstormer

Source notque/vexjoy-agent ↗License MIT

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

SkillScore95Maintained

Automatic

Marketing & Content pack

Last verified 8/20/2026

What it changes

Passed 21 of 22 test cases with the skill, and 10 of 22 without it.

Without skill45%

With skill95%

Checks it passed that the model alone missed

Places candidate topic into the SKIP tier.
Classifies topic into Medium Priority tier.
Categorizes the topic into the Low Priority tier.

and 16 more in the full report

11 fixed10 passed either way1 still failing0 broke

Pass-rate lift: +50 pp
Tokens: +91%
Agent turns: 0%
Response time: -32%

Model gemini-3.6-flashMeasured 8/20/2026v1 · latest is v221 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

This benchmark measured an earlier version of the skill.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/notque-topic-brainstormer/SKILL.md https://app.decimal.ai/s/notque-topic-brainstormer/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add notque-topic-brainstormer, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/notque-topic-brainstormer/ and pins it in .decimal/skills.lock

decimalai skills add notque-topic-brainstormer

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/notque-topic-brainstormer/SKILL.md https://app.decimal.ai/s/notque-topic-brainstormer/SKILL.md

Raw file: /s/notque-topic-brainstormer/SKILL.md ↗ · machine-readable summary at /s/notque-topic-brainstormer.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

A candidate topic receives Impact=3, Vex Level=3, and Resolution=4. Calculate the total score using component multiplication and determine its priority classification tier.

What was checked, without and with the skill
Checked	Without skill	With skill
Calculates total score as 36.	Passed	Passed
Classifies topic into Medium Priority tier.	Missed	Passed

case-22 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md76 lines4 files

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.

Read all posts in the content directory. Document post count, content clusters, technologies covered, last post date.
Identify available sources: problem mining (recent debugging, errors, config struggles), gap analysis (cross-references leading nowhere), tech expansion (adjacent technologies).
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.

Mine 5-10 raw candidates from at least 2 sources. Capture: source type, raw topic, initial vex signal.
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.
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

Track record

Benchmark

21 / 22

test cases passed, vs 10 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 9/25/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

notque / vexjoy-agent

skills/content/topic-brainstormer/SKILL.md

View on GitHub ↗

License MITImported 9/25/2026Version v2Bundled 3 files

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Topic Brainstormer

Deep References

Phase 1: ASSESS

Phase 2: DECIDE

Phase 3: GENERATE

Track record

Benchmark

Adoption

SkillSafety

Source

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