fix-errors
fix errors
scan-new-specs
Scan warpdotdev/warp and warp-server for recently merged PRODUCT.md specs that don't yet have a corresponding docs PR in warpdotdev/docs. When a complete spec is found, auto-generates a full docs draft PR and tags the engineer. When a spec is too thin to draft from, pings the engineer directly. Designed to run as a scheduled Oz ambient agent (e.g., every 2-3 days). Use when setting up the automated docs trigger or running a manual docs coverage sweep.
Full skill instructions
Retired 2026-08-20. Do not invoke this skill and do not schedule it.
Its scheduled agent (0ITuF9vNJ1RiO00Szlm1fW) is paused and stays paused.
The skill fired on spec merge, which happens before a feature ships. Two failures followed from that single design choice:
The missing_docs skill in warpdotdev/docs, running in drift-watch mode. It differs in the two ways that matter:
scripts/check_new_release.py gates each run on a new stable release, so the pipeline sees what actually shipped rather than what was planned. A daily schedule does per-release work..agents/references/docs-worthiness-criteria.md before anything is drafted, with a default of no docs and a requirement to name concrete evidence. Verdicts, including rejections, are recorded in references/changelog_decisions.md so nothing is re-litigated.Anything genuinely worth documenting re-surfaces there once it ships.
missing_docs in drift-watch mode from the warpdotdev/docs repo.write-feature-docs directly and interactively. It still works, and it still walks you through spec research and outline confirmation. It no longer runs headlessly.missing_docs, not this. Scheduling this skill reintroduces exactly the flooding it was retired for.missing_docs (in warpdotdev/docs) — the release-triggered, worthiness-gated replacementwrite-feature-docs — still supported for direct, interactive use by an engineerfix errors
resolve merge conflicts
implement specs
create pr
update skill
diagnose ci failures
brandalf
pr walkthrough
Run a model-diverse subagent council to investigate the same problem from multiple perspectives, compare findings, and produce a final recommendation. Use this skill whenever the user asks for a council, second opinions, multiple agents/models to evaluate one question, parallel investigation, red-team/blue-team comparison, or help deciding between competing technical approaches.
Compare a pull request's implementation against spec context in spec_context.md and feed any material mismatches into review.json. Use during PR review when approved or repository spec context is available.
Launch Oz cloud agents with computer use to reproduce UI-focused bug reports, capture visual evidence (a screen recording by default), and report reproduction findings. Use when investigating a specific interactive or visual bug from an issue, ticket, support report, or prompt.
Walk users through PR review comments, fetching and displaying them first when needed, collect per-comment response decisions, apply requested fixes, and preview GitHub replies and resolutions before posting. Use when responding to PR review comments on the current branch.
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