dyad:debug-with-playwright
Debug E2E tests by taking screenshots at key points to visually inspect application state.
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, reproduces targeted unit tests locally, and publishes the fixes.
dyad:pr-fix:comments
Read all unresolved GitHub PR comments from trusted authors and address or resolve them appropriately.
dyad:fix-issue
Create a plan to fix a GitHub issue, then implement it locally.
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: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:e2e-rebase
Rebase E2E test snapshots based on failed tests from the PR comments.
dyad:plan-to-issue
Create a plan collaboratively with the user, then convert the approved plan into a GitHub issue.
dyad:pr-fix
Address all outstanding issues on a GitHub Pull Request by handling both review comments and failing CI checks.
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 than simple vote counting. Reports merge verdict (YES / NOT SURE / NO). Automatically deduplicates against existing PR comments. Always posts a summary (even if no new issues), with low priority issues in a collapsible section.
dyad:pr-rebase
Rebase the current branch on the latest upstream changes, resolve conflicts, and push.
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 this whenever the user asks to benchmark, bench, or eval a model, run it "at low/high effort", compare cost or scores of models on the apps, rerun a lost cell, or asks what a model scored. Also use it for follow-up questions about a run (why a checkpoint failed, how much it cost) — the procedures for diagnosing cells live here.
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 affected E2E tests locally after making fixes.
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 issues.
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: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.
dyad:deflake-e2e
Identify and fix flaky E2E tests by running them repeatedly and investigating failures.
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 review of their branch, working diff, or a PR before merging. Usage: /deep-review (reviews current branch vs main, including uncommitted changes) or /deep-review <PR-number>.
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: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.