Generate source-grounded adoption recommendations for ideas and sources.
npx skills add https://github.com/rdleclerc/agentic-uber-skills --skill uberassess
Please help me install this Agent Skill. Skill: uberassess Source: https://github.com/rdleclerc/agentic-uber-skills/tree/main/uberassess Command: npx skills add https://github.com/rdleclerc/agentic-uber-skills --skill uberassess
uberassess prevents costly, premature implementation by turning an external source, plan artifact, or idea seed into a source-grounded adoption recommendation with honest uncertainty.
Use uberassess to assess the bookmarked article or repo you want to consider for adoption and return a recommendation packet (not an implementation).
High-intent search queries and answers about installing and using this skill.
Assessing idea seeds involves generating an alternatives matrix and performing a benefit versus cost analysis to return a structured recommendation such as adopt, watch, archive, or reject.
Yes, you can use bounded deep research to review plan drafts by checking lane coverage and project-context freshness, resulting in a safe handoff contract that blocks implementation before approval.
Converting idea seeds into eval seeds requires capturing the source, mapping coverage gaps, and outputting a recommendation packet that routes the idea into an evaluation track rather than direct implementation.
An alternatives matrix and benefit cost analysis are mandatory components of the source assessment, ensuring that adoption decisions are grounded in structured evidence rather than premature implementation.
ARAVINDAN20Map GitHub repositories from research outputs into an integration blueprint.
tcytanGenerate end-to-end implementation plans with exploration artifacts and task files.
ccstudentccConvert raw ideas into actionable designs through guided questioning and documentation.
cbgbtGenerate a feature design document with architecture, constraints, and implementation plan.
