'Run all preflight checks (format, gn_check, presubmit, build, tests) to make sure the current work is ready for review.'
npx skills add https://github.com/brave/brave-core --skill preflight
Run all preflight checks to make sure the current work is ready for review.
Execute each step sequentially and stop immediately if any step fails.
all — Run all test suites (brave_browser_tests, brave_unit_tests,brave_component_unittests) without filters, instead of only running tests
affected by the change. Usage: /preflight all
git branch --show-currentgit status --shortIf on master, create a new branch off of master before proceeding (use a
descriptive branch name based on the changes).
Run pnpm run format. If formatting changes any files, stage and include them
in the commit later.
Run pnpm run gn_check. Fix any issues found and re-run until it passes.
Skip this step if the only changes are to test filter files
(test/filters/*.filter) — filter files don't affect GN build configuration.
Run pnpm run presubmit. Fix any issues found and re-run until it passes.
Check git status. If there are any uncommitted changes (staged, unstaged, or
untracked files relevant to the work), create a commit. The commit message
should be short and succinct, describing what was done. If there are no changes,
skip this step.
Run pnpm run build to make sure the code builds. If it fails, fix the build
errors, amend the commit, and retry.
If work is targeting a different platform, follow the build instructions at
README.md or confirm with the user which build arguments or technique to use.
If the all argument was provided: Run all test suites without filters:
pnpm run test brave_browser_testspnpm run test brave_unit_testspnpm run test brave_component_unittestspnpm run test-unitOtherwise (default): Determine which test suites are affected by the changes
in this branch (compare against master). Look at the changed files and
identify the corresponding test suites and relevant test filters.
pnpm run test [test suite] --filter="..."where test suite is any of:
Or pnpm run test-unit [path blob filter] to run jest for any
\*.test.{ts,tsx} files.
If no tests are affected, note that and move on.
If any step required fixes (build errors, test failures, format/lint issues),
amend the commit with the fixes and re-run checks until everything passes
cleanly.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take brave/preflight from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.