dotclaude

Stress-test a plan against the project's existing domain model by challenging terminology, surfacing contradictions with code, and updating CONTEXT.md and ADRs inline as decisions crystallise. Use when a plan or design needs to be checked against the project's documented domain model before implementation.

Relentlessly stress-test a plan, design, architecture, idea, or strategy until all critical decisions are resolved. Use when a plan, design, or decision needs adversarial stress-testing before committing to it.

Compact the current conversation into a handoff document for another agent to pick up. Use when ending a session, switching agents, or preserving context before compaction.

Audit a project's dependencies for outdated and vulnerable packages and surface breaking-change notes for upgrades. Works with any ecosystem, including npm/pnpm/yarn, pip/Poetry/uv, Cargo, Go modules, Maven/Gradle, Bundler, Composer, and others. Use when checking a project's dependency health, planning upgrades, or responding to a vulnerability report.

Stress-test a plan against the project's existing domain model by challenging terminology, surfacing contradictions with code, and updating CONTEXT.md and ADRs inline as decisions crystallise. Use when a plan or design needs to be checked against the project's documented domain model before implementation.

Relentlessly stress-test a plan, design, architecture, idea, or strategy until all critical decisions are resolved. Use when a plan, design, or decision needs adversarial stress-testing before committing to it.

Compact the current conversation into a handoff document for another agent to pick up. Use when ending a session, switching agents, or preserving context before compaction.

Audit a project's dependencies for outdated and vulnerable packages and surface breaking-change notes for upgrades. Works with any ecosystem, including npm/pnpm/yarn, pip/Poetry/uv, Cargo, Go modules, Maven/Gradle, Bundler, Composer, and others. Use when checking a project's dependency health, planning upgrades, or responding to a vulnerability report.

Apply the SOLID principles as design diagnostics when writing, reviewing, or refactoring code with classes, modules, or service boundaries - detecting god classes, fragile hierarchies, fat interfaces, and hard-wired dependencies, and prescribing the smallest structural fix. Treats SOLID as a smell detector, not a ceremony to impose. Use when designing a new module or class, reviewing object-oriented code, untangling a class that keeps changing for unrelated reasons, or deciding where an abstraction belongs.

Implement a feature or bugfix test-first using the red-green-refactor cycle — write a failing test, watch it fail, write the minimal code to pass, then clean up. Works in any language or test runner. Use when building new behaviour or fixing a bug and you want the test to actually prove the code works.

Turn a rough bug report, idea, or complaint into a well-formed, actionable issue - investigating the codebase first to add reproduction steps, expected vs actual behaviour, suspected location, and acceptance criteria - then filing it with gh or emitting paste-ready markdown. Use when the user says "file an issue for this", "write this up", describes a bug in passing that should be tracked, or wants a feature request made concrete.

Generate a standup or weekly-review update from actual work evidence - commits, branches, PRs, and issues across one or more repositories - grouped into done / in progress / blocked / next, written in plain human sentences rather than commit-message-speak. Use when preparing a daily standup, a weekly review, a sprint update, or answering "what did I work on this week".

Apply the SOLID principles as design diagnostics when writing, reviewing, or refactoring code with classes, modules, or service boundaries - detecting god classes, fragile hierarchies, fat interfaces, and hard-wired dependencies, and prescribing the smallest structural fix. Treats SOLID as a smell detector, not a ceremony to impose. Use when designing a new module or class, reviewing object-oriented code, untangling a class that keeps changing for unrelated reasons, or deciding where an abstraction belongs.

Implement a feature or bugfix test-first using the red-green-refactor cycle — write a failing test, watch it fail, write the minimal code to pass, then clean up. Works in any language or test runner. Use when building new behaviour or fixing a bug and you want the test to actually prove the code works.

Turn a rough bug report, idea, or complaint into a well-formed, actionable issue - investigating the codebase first to add reproduction steps, expected vs actual behaviour, suspected location, and acceptance criteria - then filing it with gh or emitting paste-ready markdown. Use when the user says "file an issue for this", "write this up", describes a bug in passing that should be tracked, or wants a feature request made concrete.

Generate a standup or weekly-review update from actual work evidence - commits, branches, PRs, and issues across one or more repositories - grouped into done / in progress / blocked / next, written in plain human sentences rather than commit-message-speak. Use when preparing a daily standup, a weekly review, a sprint update, or answering "what did I work on this week".

Review an API contract (REST or GraphQL) before or while it is implemented, checking resource naming, HTTP semantics, status codes, error shape, pagination, versioning, idempotency, and backward compatibility, and producing concrete revisions rather than abstract advice. Use when designing new endpoints, changing an existing API's surface, or reviewing a PR that adds or modifies API routes.

Review or write a database schema migration with production safety as the bar, checking lock behavior, table rewrites, backfill strategy, deploy-order compatibility (expand-contract), index creation, and rollback, for Postgres, MySQL, and common ORMs' migration tools. Use when adding or reviewing a migration, renaming or dropping columns, adding constraints or indexes to large tables, or planning a backfill.

Diagnose and fix a failing CI run by pulling the actual failure logs (gh run view --log-failed), reproducing the failure locally, fixing the root cause rather than the symptom, and verifying green before and after pushing. Use when a GitHub Actions run is red, a PR check is failing, or CI passes locally but fails remotely.

Audit UI code or a running page against WCAG 2.2 AA, covering semantics, keyboard access, focus management, labels, contrast, ARIA misuse, and motion, verifying in a real browser with axe-core when one is available and by code review when not. Produces findings ranked by user impact with concrete fixes. Use when building or reviewing UI components, before shipping user-facing pages, or when accessibility compliance is required.

Review an API contract (REST or GraphQL) before or while it is implemented, checking resource naming, HTTP semantics, status codes, error shape, pagination, versioning, idempotency, and backward compatibility, and producing concrete revisions rather than abstract advice. Use when designing new endpoints, changing an existing API's surface, or reviewing a PR that adds or modifies API routes.

Review or write a database schema migration with production safety as the bar, checking lock behavior, table rewrites, backfill strategy, deploy-order compatibility (expand-contract), index creation, and rollback, for Postgres, MySQL, and common ORMs' migration tools. Use when adding or reviewing a migration, renaming or dropping columns, adding constraints or indexes to large tables, or planning a backfill.

Diagnose and fix a failing CI run by pulling the actual failure logs (gh run view --log-failed), reproducing the failure locally, fixing the root cause rather than the symptom, and verifying green before and after pushing. Use when a GitHub Actions run is red, a PR check is failing, or CI passes locally but fails remotely.

Audit UI code or a running page against WCAG 2.2 AA, covering semantics, keyboard access, focus management, labels, contrast, ARIA misuse, and motion, verifying in a real browser with axe-core when one is available and by code review when not. Produces findings ranked by user impact with concrete fixes. Use when building or reviewing UI components, before shipping user-facing pages, or when accessibility compliance is required.

Review code through three hostile personas - the Saboteur, the New Hire, and the Security Auditor - each required to find at least one issue. Use when a standard review feels too comfortable, when code is going into a critical path, when a previous review missed bugs that later surfaced, or when you want coverage across correctness, clarity, and security in a single pass.

Process code-review feedback with technical rigour — understand each point, check it against the actual codebase, and respond with reasoning or implementation rather than reflexive agreement. Use when you receive review comments (from a human, the code-reviewer agent, or any reviewer) and are about to act on them, especially if any feedback seems unclear or wrong.

Execute a written implementation plan task by task, reviewing it critically first, following each step exactly, running every verification, and stopping to ask rather than guessing when blocked. Use when you have a plan document (such as one from the writing-plans skill) and need to implement it in this session.

Onboard to an unfamiliar codebase by mapping its architecture, entry points, and data flow. Use when starting work in a new or unknown repository and you need a navigable mental model fast.

Fan independent work out to multiple subagents that run concurrently, each with a focused scope and self-contained instructions, then review and integrate their results. Use when you face two or more genuinely independent tasks — separate failing test files, unrelated bugs, distinct subsystems — that share no state and don't depend on each other's order.

Optimize a performance problem by profiling to find the real bottleneck before changing anything, making one targeted change, and verifying both the improvement and that correctness did not degrade. Use when a feature is measurably slow, a page load or API response exceeds a budget, a query is taking too long, or a user reports sluggishness. Do not use to pre-optimize code that has not been measured to be slow.

Debug a bug, test failure, crash, or unexpected behaviour by finding the root cause before changing anything, instead of guessing at fixes. Works in any language or stack. Use when something is broken, a test is failing, behaviour is wrong, or a previous fix didn't hold.

Gate every "it works / it's fixed / tests pass / done" claim behind fresh evidence — run the actual verifying command, read its output, and only then state the result. Use before committing, opening a PR, marking a task complete, handing off to or trusting a subagent, or otherwise asserting that work succeeded.

Turn a spec or set of requirements into a detailed, task-by-task implementation plan an engineer (or a subagent) can execute without further context. Breaks work into bite-sized steps with exact file paths, real code, and verification commands. Use before starting a multi-step build, once you know what you're building.

Generate a changelog or release notes from Git history, grouped by change type, written in user-facing language, with issue/PR links and breaking changes called out. Conventional-Commits aware and Keep a Changelog formatted; respects any existing CHANGELOG or tooling. Use when preparing release notes or updating CHANGELOG.md.

Wrap up a completed development branch by verifying tests pass, detecting the workspace state, then presenting clear merge / PR / keep / discard options and executing the chosen one safely — including correct worktree and branch cleanup. Use when implementation is done, tests should be green, and you need to integrate or put away the work.

Commit work the right way by gathering full repo state, respecting the project's commitlint/pre-commit/branch rules, staging only understood files, and writing a conventional-commit message whose body explains why. Use when committing, branching, or pushing changes.

Recover safely from Git mistakes such as discard, unstage, amend, reset, revert, restore lost commits via reflog, recover deleted branches, and fix bad rebases. Chooses the least-destructive fix and protects against data loss. Use when something in Git went wrong and needs undoing.

Set up an isolated workspace for feature work so the current branch and working tree stay untouched — detecting existing isolation first, preferring the platform's native worktree tooling, and falling back to git worktrees only when nothing native exists. Use before starting feature work that needs isolation, or before executing an implementation plan.

Generate or repair a .gitignore tailored to the project's actual stacks, frameworks, OS, and editors, and untrack files that are already committed but should be ignored. Flags secrets/build/dependency files that slipped into the repo. Use when creating, fixing, or auditing .gitignore.

Resolve Git merge, rebase, cherry-pick, revert, and stash conflicts safely by understanding both sides and the operation in progress before integrating, then verifying the result builds and passes tests. Use when a merge/rebase/cherry-pick stops with conflicts or "needs merge".