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cdk-local
cdk-local contains 10 collected skills from go-to-k, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Proactively hunt for cdk-local bugs by synthesizing real CDK apps that exercise common-but-untested AWS resources, configs, and CloudFormation notations, then RUNNING them locally in Docker (invoke / start-api / run-task / start-service / start-alb / start-cloudfront / invoke-agentcore / studio) and catching local-execution failures + divergences from deployed behavior. Use for a periodic "find latent bugs" sweep, not for verifying a specific change.
Work through already-filed GitHub issues (typically the bug-hunt's output) end to end — triage safely, pick a few FILE-DISJOINT issues to fix in parallel, claim each on the issue before starting (collision-safe with other agents), verify, then carry each through merge (via /merge-pr) → pull → worktree cleanup. Use when asked to "handle/address filed issues", not to hunt for new bugs (that is /hunt-bugs).
Squash-merge a PR and fully clean up the feature worktree + local branch, without tripping the side-worktree `'main' is already used by worktree` fatal and without bypassing the merge-time gates.
Detect and delete leftovers from interrupted cdk-local runs — Docker containers / networks, AND orphaned vitest forks worker processes that failed to terminate (issue
Triggers when a PR adds a new subcommand factory, CLI option, public helper, or behavior change to cdk-local that cdkd (host CLI) may need to inherit. Walks the diff and pins each category to "exported via internal.ts / inside add<Cmd>SpecificOptions / cdkd notified" — sets the cdkd-parity marker so gh pr create can fire.
Check if documentation (README.md, .claude/CLAUDE.md) is up to date with recent code changes. Use when code has been modified and docs may be stale.
Comprehensive PR readiness check before merge. Run quality checks, tests, CI, documentation, Docker / integ verification, and code review.
Recommend the right reviewer count for a PR based on size + bias factors. Outputs a concrete plan (inline spot-check / 1 reviewer / 3-axis parallel) plus ready-to-paste Agent dispatch prompts when reviewers are warranted.
Run local quality checks (typecheck, lint, format, build, tests). Quick check during development.
Run an integration test (Docker-based, optionally AWS-deploy-backed for `*-from-cfn-stack` tests) and refresh the `integ` markgate marker on a clean run.