Score AI opportunity ideas against a 6-dimension framework to produce draft scorecards.
npx skills add https://github.com/pmalirz/aig-discovery-toolset --skill aig-assess
Please help me install this Agent Skill. Skill: aig-assess Source: https://github.com/pmalirz/aig-discovery-toolset/tree/main/skills/aig-assess Command: npx skills add https://github.com/pmalirz/aig-discovery-toolset --skill aig-assess
Scores AI opportunities against a 6-dimension framework to generate draft scorecards, enabling structured, evidence-backed decision making for prioritization and governance.
Execute the scoring pipeline on the submitted AI use idea to generate a draft scorecard.
High-intent search queries and answers about installing and using this skill.
Score AI ideas by evaluating them against a 6-dimension framework to produce draft scorecards. This generates structured evidence and flags low-confidence criteria to support prioritization and governance planning.
The 6-dimension framework is an assessment model that scores AI opportunities across six weighted dimensions. It reads organizational context to ground scores in real-world constraints and outputs a structured scorecard for executive review.
Compare multiple AI initiatives by running each idea through the 6-dimension scoring pipeline to generate draft scorecards. These scorecards provide structured evidence that serves as direct input for prioritization heatmaps and executive summaries.
Yes, the assessment reads context from a tracker and company-profile to ground scores in real-world constraints. Leveraging this organizational context ensures the draft scorecards accurately reflect your specific operational environment.
During AI assessment, the scorecard flags low-confidence criteria for consultant review. This ensures that draft scores lacking strong evidence are explicitly marked, maintaining governance quality before final prioritization decisions are made.
duthahoEvaluate job postings against candidate profiles to produce ranked apply-or-skip decisions.
pmalirzAggregate scored tracker data into AI readiness heatmaps and executive summaries.
namht1stRank backlog items using RICE, ICE, or MoSCoW scoring frameworks.
AgentientAnalyze database schemas and generate structured multi-lens evaluation reports.
