claude

dyad-sh-dyad

Advanced code review system that spawns three independent agents to review PRs with randomized file order, severity classification, consensus voting, and automatic deduplication.

0 on GitHubupdated 6 months agocode_testing
/

Plugin dyad-sh-dyad from marketplace cascade-code-testing-code-review in joshuarweaver/cascade-code-testing-code-review. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (24)

  • dyad:add-models

    Add one or more AI models to the language model constants file, researching specs from official docs.

  • dyad:check-workflows

    Check GitHub Actions workflow runs from the past day, identify severe or consistent failures, and file an issue if actionable problems are found.

  • dyad:debug-minified-error

    Map a minified error stack trace from a production Dyad build back to original source locations using source maps.

  • dyad:debug-with-playwright

    Debug E2E tests by taking screenshots at key points to visually inspect application state.

  • deep-review

    Deep multi-agent code review run locally — a fleet of parallel finder agents reviews the diff from independent angles, then adversarial verifier agents reproduce each finding before it is reported. Local equivalent of /code-review ultra. Use when the user asks for a deep, thorough, or multi-agent re

  • dyad:deflake-e2e-from-run

    Root-cause flaky or failing E2E tests from a specific CI run by downloading and analyzing the Playwright HTML report (traces, screenshots, errors). Use this when given a GitHub Actions run URL and asked to investigate failures. Diagnose from report artifacts first, then rebuild and rerun the affecte

  • dyad:deflake-e2e-recent-commits

    Automatically gather flaky E2E tests from recent CI runs on the main branch and from recent PRs by wwwillchen/keppo-bot/dyad-assistant, then deflake them.

  • dyad:deflake-e2e

    Identify and fix flaky E2E tests by running them repeatedly and investigating failures.

  • dyad:e2e-rebase

    Rebase E2E test snapshots based on failed tests from the PR comments.

  • dyad:feedback-to-issues

    Turn customer feedback (usually an email) into discrete GitHub issues. Checks for duplicates, proposes new issues for approval, creates them, and drafts a reply email.

  • dyad:fix-issue

    Create a plan to fix a GitHub issue, then implement it locally.

  • dyad:multi-pr-review

    Multi-agent code review system that spawns three independent Claude sub-agents to review PR diffs. Each agent receives files in different randomized order to reduce ordering bias. One agent focuses specifically on code health and maintainability. Issues are validated using reasoned analysis rather t

  • dyad:plan-to-issue

    Create a plan collaboratively with the user, then convert the approved plan into a GitHub issue.

  • dyad:pr-fix:ci

    Diagnose and fix failing CI checks on a pull request from its latest GitHub Actions CI run. Use when PR CI has E2E/Playwright failures, macOS or Windows unit-test failures, or presubmit/type/build failures; analyzes the exact run logs and artifacts, invokes dyad:deflake-e2e-from-run for E2E failures

  • dyad:pr-fix:comments

    Read all unresolved GitHub PR comments from trusted authors and address or resolve them appropriately.

  • dyad:pr-fix

    Address all outstanding issues on a GitHub Pull Request by handling both review comments and failing CI checks.

  • dyad:pr-push

    Publish local work by committing changes, running checks, pushing the branch, and creating or refreshing a GitHub PR with a reviewer-useful description.

  • dyad:pr-rebase

    Rebase the current branch on the latest upstream changes, resolve conflicts, and push.

  • dyad:pr-screencast

    Record a visual demonstration of the key feature of this PR using screenshots and add it as a new comment to the PR.

  • dyad:promote-beta-to-stable

    Promote the latest pre-release to a stable release by creating a release branch, bumping the version, and pushing.

  • remember-learnings

    Review the current session for errors, issues, snags, and hard-won knowledge, then update the rules/ files (or AGENTS.md if no suitable rule file exists) with actionable learnings.

  • dyad:run-benchmark

    Run the app-builder benchmark (benchmarks/app-builder) for one or more models — build the three apps through headless Dyad against neon-sim and the recording proxy, score them (Playwright CUJs + security probes + LLM judge), verify the wire ledger, and regenerate RESULTS.md and the scores page. Use

  • dyad:swarm-pr-review

    Team-based PR review using Claude Code swarm. Spawns three specialized teammates (correctness expert, code health expert, UX wizard) who review the PR diff, discuss findings with each other, and reach consensus on real issues. Posts a summary with merge verdict and inline comments for HIGH/MEDIUM is

  • dyad:swarm-to-plan

    Swarm planning session with PM, UX, and Engineering agents who debate an idea, ask clarifying questions, and produce a detailed spec written to plans/$plan-name.md.

View source on GitHub

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