Coding standards, frameworks, refactoring, and code review (16.7K skills)
Check a Rust project for compilation errors with cargo check, examine errors and warnings, and fix the issues found. An included command example also covers checking all project targets.
Review open pull requests against the actual release branch, inspect code changes and failed checks, and produce an evidence-based table recommending direct integration, selective reuse, deferral, or closure, with contributor credit.
Generate independent options for design, implementation, explanations, or debugging, then compare them using one shared rubric. Code candidates use separate working copies and undergo independent verification before a winner is presented for review.
Assigns a specified set of GitHub issues to a milestone, owners, or both. Checks that each target is an open issue, applies changes individually, and reports results with verification of milestone counts and selected issue details.
Investigate software failures by reproducing the problem, reducing the failing example, and locating its root cause. Receive an evidence-based diagnosis that separates symptoms from causes, with fixes applied only when authorized.
Review open GitHub pull requests and issues to rank useful, lower-risk actions. Produce a prioritized report covering merge candidates, already-fixed issues, small fixes, branch verification, and contributor credit, with public comments drafted for approval.
Land verified Codewhale changes on main with focused commits and checks before pushing. Handle contributor pull requests, resolve conflicts, preserve authorship credit, and confirm required review evidence before merging.
Turn Codewhale bugs and feature ideas into GitHub issues. Gather reproduction details, check for duplicates, and present the exact draft for approval before submitting it and returning the issue link.
Build and troubleshoot MCP servers, which connect AI agents to external tools, for codewhale. Covers local and remote connections, credential configuration, tool validation, and testing both successful requests and failures.
Create a local Codewhale plugin bundle with a versioned manifest and Skills named with the plugin prefix. Validate its structure and present review results so a person can decide whether to trust and enable it.
Check a local Codewhale checkout before contributing: inspect branch and sync status, build the CLI, and run the repository’s CI checks. Present recent commits and changelog entries from local files, with clear status for each step.
Establish the current repository state before starting or resuming Codewhale development. Check the active branch, uncommitted changes, related working directories, applicable instructions, and version consistency so editing begins with verified context.
Review GitHub issue discussions and code on the target branch to confirm a fix has landed, then close resolved issues with evidence, contributor credit, and an invitation to reopen if the problem returns.
Use the authenticated gh command-line tool to inspect GitHub issues, review proposed code changes, search code, check automated workflow runs, and manage releases. Changes to GitHub are made only when explicitly requested.
Bring one approved community pull request into a release branch while preserving authorship and contribution credit. Review the changes, check for conflicts, run focused tests, and post a specific thank-you to the contributor.
Clarifies missing product or implementation decisions through one focused question at a time. It records answers and produces a short brief or specification once enough is known, while investigating facts that can be found directly.
Create a ready-to-paste prompt for another agent or a later session to continue development work. Ground the handoff in current repository evidence, distinguish verified results from hypotheses and blockers, and identify uncommitted files and next steps.
Plan Codewhale changes by locating the existing implementation and its callers, defining one reviewable change, and choosing verification before editing. Use it for features, upgrades, and refactoring to avoid duplicate implementations and unfinished migrations.
Turn a Codewhale bug or feature idea into an actionable GitHub issue with evidence, reproduction steps, and testable acceptance criteria. Check related work, select existing labels and a milestone, and return the filed issue with supporting evidence.
Update a clearly specified set of dependencies by checking current versions and release notes, applying changes, fixing compatibility problems, and running the project's tests and build checks to verify the result.
Split multi-step coding, research, or testing into focused assignments for sub-agents, which are agents handling specific parts of a task. The parent agent retains design decisions, integration, and final verification while independent work runs in parallel.
Carry a clear, authorized coding request or approved plan through focused changes and appropriate checks. The workflow confirms acceptance criteria, keeps edits small, and reports what changed, what was verified, and what remains unresolved.
Turn an understood task into an ordered implementation plan in Codewhale. Clarify the goal and constraints, identify which steps depend on others, and record verification methods, risks, and open questions before broader implementation begins.
Review a set of GitHub issues against their full discussions and current code. Produce a table separating completed work, small fixes, design work, and deferred items, with evidence, confidence levels, and next actions for each issue.