Best AI coding capabilities

Fetch current library documentation and examples directly into coding agents.

A structured starting point for tool-using agents built with OpenAI Agents SDK.

Expose selected local directories to agents for read and write file workflows.

Skill profile for reviewing pull requests with correctness, risk, and test coverage rubrics.

Skill profile for auditing MCP and agent projects for tokens, scripts, network, and file access.

Summarize public repository structure without requiring private tokens or write access.

Parse MCP server metadata, tools, prompts, and resources into a normalized interface report.

Connect agents to GitHub repositories, issues, pull requests, and code search.

MCP profile for read-only local file access in constrained project directories.

Give agents controlled access to Supabase projects, schemas, SQL, and project metadata.

Template for multi-agent conversations with explicit roles, tools, and termination rules.

Agent template for checking UI implementation against screenshots, spacing, and copy fidelity.

Check whether code changes need docs, changelog, migration notes, or release risk labels.

Compare rendered UI screenshots against expected layout, copy, and responsive behavior.

Classify pull requests by blast radius, missing tests, security exposure, and migration risk.

Extract colors, typography, spacing, and components from design references into implementation notes.

Build migration plans with dependency maps, risk levels, and validation steps.

Agent scaffold for sandboxed terminal tasks with command logs and end-state checks.

Plan and execute documentation migrations with broken-link and heading consistency checks.

Generate Claude, Cursor, Cline, or Codex MCP configuration snippets from normalized server metadata.

Template for connecting documentation, API clients, and smoke tests into an integration task.

Generate release notes from commits, merged PRs, and issue references.

Workflow for classifying issues, identifying duplicates, and drafting maintainable responses.

Plan dependency upgrades, run checks, and explain compatibility risks.

Explain SQL schemas, draft queries, and mark destructive operations for review.

Convert a small issue into a branch plan, implementation checklist, patch, and review summary.