ci-speedup — CI Optimization Audit for GitHub Actions

Audits a repository's GitHub Actions workflows against a 73-pattern catalog — 67 hygiene/data-driven patterns plus 6 structural / critical-path patterns routed from the measured long pole — and produces a root-cause-analysis report with measured impact on two axes — developer wall-clock wait and runner-minutes (cloud bill). The report opens with a Long poles section — the checks that gate the merge (how often each is the pole across sampled PRs, and a per-step breakdown showing the root-cause step) — then a Findings section: each detected inefficiency, ranked by measured impact, presented as a root-cause observation with its evidence.

ci-speedup does NOT prescribe the fix. Detection + run-history measurement are accurate; fixes are where a generic tool goes wrong (no file intent, real logs, or load-bearing context). So every finding ships a ready-to-paste agent prompt handing the pattern + measured cost to the user's coding agent, which investigates the real runs/logs/intent and reasons out the safe remedy — measured diagnosis from the tool, fix from an agent that sees the code.