Agent Skills Hub

dojo-debug

Diagnose and resolve connection, sync, subscription, and type issues in Dojo.js applications. Use for troubleshooting Torii, entity queries, and state updates.

structured-outputs-advisor

Expert advisor for implementing Anthropic's structured outputs. Choose between JSON mode and strict tool use for guaranteed schema compliance and validated agentic workflows.

claude-office-pack

Comprehensive office productivity toolkit for AI agents, featuring PDF, Word, Excel, PowerPoint, and internal communication automation capabilities.

quality-fixer

Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.

Python Security Scan

Advanced Python security vulnerability scanner for Flask, Django, and FastAPI projects. Audits OWASP Top 10, dependencies, hardcoded secrets, and framework-specific flaws.

git-commit

Execute git commits with conventional commit message analysis, intelligent file staging, and automated semantic message generation based on code diffs.

claude-opus-4-5-migration

Migrate your codebase, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to the advanced Opus 4.5 model with automated configuration adjustments.

generate-translations

Automates the generation and synchronization of localized translation strings for Payload CMS core packages and plugins.

mutation-testing-js

Mutation testing patterns for JS/TS using Stryker. Analyze branch code to find weak or missing tests, verify test effectiveness, and strengthen Node.js test suites.

k0ntext

RPI Plan Phase: Create chunk-based, dependency-aware implementation plans from research documents for structured, atomic development.

langgraph-workflows

Master multi-agent orchestration with LangGraph. Build stateful, fault-tolerant AI workflows using supervisor-worker patterns, conditional routing, and advanced state management.

plain-language

A toolkit for writing clear, accessible, and concise content. Applies Plain Language Movement principles including active voice, sentence shortening, and jargon elimination for improved reader comprehension.