Coding standards, frameworks, refactoring, and code review (15.2K skills)
View release versions claimed by open pull requests, proposed code changes, alongside work in related Conductor workspaces. Get a read-only snapshot showing queued work and the version slot that /ship would choose next.
Regenerate an iOS app's debug bridge, the code connecting it to debugging tools, using current gstack templates. Update Swift support files and typed state accessors after gstack upgrades or ViewModel and property additions.
Match a development request to an available gstack skill for planning, review, testing, shipping, documentation, or other tasks. It distinguishes testing from browser interaction and routes the request to the appropriate workflow.
Use OpenAI Codex CLI to review code changes, challenge an implementation by looking for ways it could fail, or discuss technical questions. Three modes provide an independent opinion, with follow-up questions supported in ongoing consultations.
Investigate software errors and unexpected behavior through four stages: investigation, analysis, hypothesis, and implementation. It requires identifying the root cause before making fixes and distinguishes evidence from code inspection, tests, and live runs when reporting findings.
Clean up an iOS app after /ios-qa by removing the DebugBridge package and its debug wiring. The cleanup covers StateServer, DebugOverlay, generated accessor code, and hooks added to the app.
Review an implementation plan before coding, checking system structure, data flow, diagrams, edge cases, test coverage, and performance. Discuss issues interactively with concrete recommendations to settle technical decisions before implementation begins.
Review a week of engineering work using commit history, work patterns, and code quality measures. It tracks trends across retrospectives and breaks down each team member’s contributions, highlighting strengths and areas for growth.
Turn approved mockups, design plans, or written descriptions into HTML and CSS using Pretext. Build dynamic layouts where text reflows and heights are calculated, choosing Pretext patterns suited to the design.
Limit file edits to a chosen directory and block Edit, Write, and NotebookEdit operations outside it. Keep debugging or module changes within scope, with the restriction remaining active until explicitly removed.
Review recent development work to find code worth sharing across existing callers. Receive ranked recommendations backed by verified source locations, estimated line savings, migration steps, and risks, without changing files or running project code.
Review proposed code changes before merging them. Compare changes with the base branch to find structural issues, including unsafe SQL, misplaced trust in large language model inputs, and unintended effects within conditional code.
Set up gbrain so a coding agent can call it. Install its command-line tool, initialize a local PGLite or Supabase brain, register MCP, the agent connection mechanism, and record trust policies for each remote.
Browse available Codex skills and install them from a curated list or a specified GitHub location. Supports experimental skills, private repositories with credentials, and installing several skill folders in one operation.
Review code changes without modifying files, checking surrounding code, tests, and callers for defects introduced by the change. Receive actionable findings ranked by severity, with precise file locations and a brief assessment of remaining risks.
Create or update Codex skills that capture task-specific guidance. Organize instructions in SKILL.md, add useful scripts, references, or assets when needed, and validate the structure while keeping the skill focused on its intended work.
Helps you integrate hosted browser automation through Browser Use Cloud APIs and Python or TypeScript SDKs. Reference guides cover authentication, sessions, saved browser profiles, live views, and connections to existing agents or workflow services.
Helps you write Python code for browser automation with browser-use. Its reference guides cover installation, agent and browser settings, custom tools, model connections, and monitoring so you can configure and extend your automation.
Guides setup for paying for Browser Use Cloud tasks with USDC on Base, a blockchain network. Covers wallet preparation, private key storage, a paid test, and SDK integration, including use without signup or an API key.
Restructure code through extraction, consolidation, or responsibility moves while preserving its behavior. Establish checks before editing, repeat them afterward, and keep intermediate versions buildable and testable without mixing in feature changes.
Investigate unclear failures, intermittent behavior, and performance regressions before changing code. Separate symptoms from assumptions, trace how failures arise, and rank possible causes by evidence and ease of testing, then report the cause and supporting proof.
Find LLM workflows in a codebase and label them by the job they perform, so Caveman Cloud can separate spending by workflow. Present a labeling proposal for approval, apply focused code changes, and check an affected execution path.
Locate relevant code in an unfamiliar repository or after a direct search fails. This read-only explorer returns a short list of file paths, verified line ranges, and relevance notes for another agent to use.
Review code changes and produce concise comments ready to paste into a pull request. Each finding includes its location, the problem, and a concrete fix, with fuller explanations for security issues, architectural disagreements, or authors who need context.