QIDEA - Research and Ideation

Run a focused research query such as "QIDEA OAuth providers comparison" to get an options matrix with weighted criteria, trade-off analysis, and a recommendation. The output is saved as a markdown analysis document with cited sources and next steps.

Decompose the topic into sub-questions covering market size, competitors, pricing models, and unmet needs. The research workflow gathers data from tiered sources, synthesizes findings, and produces a positioning options matrix with a recommendation.

Good queries are focused and contextual, such as "serverless vs containers for real-time API" rather than broad topics like "research AI". Include the decision context, constraints, and optionally a depth flag like --depth=deep for longer investigations.

No, this workflow is strictly for research and ideation without code implementation. For writing code, tests, or refactoring, use the companion implementation skills after reviewing the research recommendation.

Sources are ranked in three tiers: official documentation and standards bodies are Tier 1, reputable tech blogs and high-vote Stack Overflow answers are Tier 2, and Reddit or personal blogs are Tier 3. High-stakes decisions require at least two Tier 1 sources per key claim.

Unfocused results come from overly broad queries, so narrow the scope with specific comparison terms. For outdated data, add a recency constraint such as --since=2025, and control runtime with --depth=quick or a max duration limit.