Results for “evaluation-results”

Diagnose and improve MSBuild project evaluation performance by analyzing phases, glob patterns, import chains, and property functions.

Post-epic review to extract lessons and assess success. Use when the user says "run a retrospective" or "lets retro the epic [epic]"

Design and implement evaluation harnesses for models, agents, and code. Use when creating benchmarks, designing eval metrics, or comparing system outputs.

Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.

Outcome Eval

Analyzes evaluation patterns across completed plans and evolves the superpowers checklists accordingly.

Grades individual test methods and produces a compact markdown table with a letter grade, score band, and one-line note for each test.

Design grading plans. TRIGGERS - Use when user needs help with grading-plan related tasks.

Improve existing content and close the learning loop without cannibalizing new-content work.

Reviews closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns.

Analyze closed deals and lost opportunities for patterns

Create product objectives, key results, initiatives, guardrails, and review cadence.

Eng manager-mode plan review. (gstack)

Design grading plans. TRIGGERS - Use when user needs help with grading-plan related tasks.

Acceptance Eval

Score Analyzer

Transforms A/B test and product experiment data into actionable readouts with hypothesis, metrics, interpretation, and decision.

Coordinates quality assurance workflows by routing testing tasks to specialized sub-skills for API testing, performance benchmarking, test analysis, tool evaluation, and process optimization.

Execute the full AgentHub competition lifecycle in a single command: initialize, capture baseline, spawn agents, evaluate results, and merge the winner.