From deepest-plan
Capture "before" state BEFORE making changes. Validation later compares against this baseline to prove improvement without regression. Invoked when deepest-plan modifies existing behavior (not greenfield).
How this skill is triggered — by the user, by Claude, or both
Slash command
/deepest-plan:baseline-quality-assessmentThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Captures current-state evidence BEFORE any change so after-change validation can cite improvement or non-regression. Optional — only needed when a plan modifies existing behavior.
Captures current-state evidence BEFORE any change so after-change validation can cite improvement or non-regression. Optional — only needed when a plan modifies existing behavior.
mkdir -p e2e-evidence/baseline/
# Web: screenshot the current state
agent-browser open http://localhost:3000/features/target
agent-browser screenshot e2e-evidence/baseline/before-ui.png
# API: current response
curl -s http://localhost:3000/api/target | jq . \
> e2e-evidence/baseline/before-api.json
# Performance: current latency
for i in {1..20}; do
curl -s -o /dev/null -w "%{time_total}\n" http://localhost:3000/api/target
done > e2e-evidence/baseline/before-latency.txt
# Accessibility: current axe score
npx @axe-core/cli http://localhost:3000/features/target \
--save e2e-evidence/baseline/before-axe.json
Every gate that claims "improves" MUST cite both files:
Before: e2e-evidence/baseline/before-latency.txt p95 = 340ms
After: e2e-evidence/vgN-after-latency.txt p95 = 180ms
Improvement: 47% reduction
Good:
Bad:
Even a plan that is only adding features should capture baseline for:
Post-change gates assert non-regression:
Baseline captures may contain authenticated UI state. Store under e2e-evidence/baseline/ which is part of the gitignored evidence dir.
npx claudepluginhub krzemienski/deepest-plan-plugin --plugin deepest-planCreates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.