npx claudepluginhub waynebrantley/aitoolsProductivity skills and utilities for enhanced Claude Code workflows
Claude Code marketplace entries for the plugin-safe Antigravity Awesome Skills library and its compatible editorial bundles.
Directory of popular Claude Code extensions including development tools, productivity plugins, and MCP integrations
No description available.
Productivity skills and utilities for Claude Code.
In Claude Code, run:
/plugin marketplace add waynebrantley/aitools
/plugin install ai-tools@waynebrantley-aitools
claude --plugin-dir /path/to/aitools/plugins/ai-tools
Once installed, the plugin's skills will be available in Claude Code. Skills are triggered automatically when relevant to user queries.
Calculates optimal parallelism for spawning subagents based on available system resources (memory, CPU, load). Prevents resource exhaustion by adapting to system capabilities.
Usage: Automatically invoked when other skills need to determine safe parallel execution limits.
Systematically fixes test failures (unit, E2E, server-side) using resource-aware parallel subagents with file-level isolation and iterative verification.
Usage: Invoke with /ai-tools:test-doctor or ask "fix my tests"
Fixes build errors and warnings across TypeScript and .NET projects. Runs builds, parses errors, and systematically fixes issues.
Usage: Invoke with /ai-tools:build-doctor or ask "fix my build"
Fixes failing GitHub Actions workflows by analyzing logs and fixing issues.
Usage: Invoke with /ai-tools:github-workflow-doctor or ask "fix my GitHub workflow"
Orchestrates parallel development workflows using multiple subagents for large tasks.
Usage: Automatically invoked for complex multi-file tasks
plugins/ai-tools/skills/ (e.g., plugins/ai-tools/skills/my-skill/)SKILL.md file with YAML frontmatter:
---
name: my-skill
description: Use this skill when...
---
(The skill will be invoked as /ai-tools:my-skill)Test the plugin locally:
claude --plugin-dir /path/to/aitools/plugins/ai-tools
This plugin is ready for marketplace distribution.
MIT