Run the post-implementation quality assurance workflow including tests, code polishing, review, and commit. Use when the user asks to \"finalize implementation\", \"finalize changes\", \"wrap up implementation\", \"finish up\", \"ready to commit\", or \"run QA workflow\".
npx skills add https://github.com/tobihagemann/turbo --skill finalize
Post-implementation QA workflow: tests, code polishing, commit, and self-improvement.
At the start, use update_plan to track each phase, restating any remaining steps of a parent workflow alongside them:
$polish-code skill$simplify-docs skill$update-changelog skill$self-improve skillWorkflow state lives at .turbo/workflows/<slug>.md — slug from the governing plan when one is in context, otherwise the current branch name with non-alphanumerics replaced by hyphens. It pairs one-to-one with the thread's goal. When this run's create_goal attempt succeeds, write the file fresh: Status: active plus this invocation's update_plan list as a checkbox list. When an unfinished goal already exists, mirror into the workflow file its objective names; when it names none, continue without workflow state. Mirror every update_plan call into the file; it holds the pipeline's remaining steps and their statuses. When this run created the goal, run the terminal step in order: mark the final entry completed and mirror it, set Status: closed, mark the goal complete with update_goal, then emit any halt message.
Then attempt create_goal with the objective: "Run $finalize post-implementation QA on the staged changes through Phase 5 (Ship It). Workflow state: .turbo/workflows/<slug>.md; mirror every update_plan call into it. Loop state lives under .turbo/loops/. After any context compaction, re-read the workflow file and any active ledger, and continue from the first unfinished entry. Mark this goal complete when Phase 5 finishes." If an unfinished goal already exists, an outer workflow owns it; continue without creating one.
$polish-code SkillRun the $polish-code skill for the current changes.
$simplify-docs SkillRun the $simplify-docs skill on the staged changes (git diff --cached). Stage any edits it makes before continuing.
$update-changelog SkillRun the $update-changelog skill.
$self-improve SkillRun the $self-improve skill for the current session. Always run this phase even if the session seemed routine.
Examine the staged changes and evaluate whether they form a single reviewable unit or several independently reviewable units. This step decides only whether to split; the chosen ship skill owns all repository-state detection and the commit, push, branch, and PR intent.
Run git diff --cached --stat and git diff --cached to understand the scope. Categorize changes along three dimensions:
A split is warranted when the staged changes contain multiple reviewable units. Each unit should be independently understandable, testable, and revertable. When deciding group boundaries, consider whether a reviewer could evaluate each group without needing context from the others.
Output the split analysis as text.
If changes form a single cohesive unit, note this and run the $ship skill.
If changes span multiple reviewable units, propose an ordered list of groups. For each group, specify:
Use request_user_input to let the user choose whether to ship the changes together or split them up.
$ship skill$split-and-ship skillIf this run created a goal, mark it complete with update_goal. Then call update_plan to mark this step completed and continue with the next step of the active workflow.
.env, credentials, API keys). Warn if detected.git diff internally as needed.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 tobihagemann/turbo-finalize 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.