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Use when deciding whether a project is the ONE crisp, important, well-identified insight that an American Economic Review: Insights (AER: Insights) short-format manuscript requires, rather than a multi-result paper for AER or a field paper for the AEJ family. Tests single-insight fit; it does not run the analysis.
aeri-topic-selection is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Topic Selection — Single-Insight Fit (aeri-topic-selection) ## When to trigger - A project has a strong main result but also two or three secondary results -. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding aeri-topic-selection to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install Joker-ZXR/my-skillsReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Topic Selection — Single-Insight Fit (aeri-topic-selection) ## When to trigger - A project has a strong main result but also two or three secondary results - Unsure whether to se