ac-hooks-manager
About
The ac-hooks-manager skill handles installation and management of autonomous coding hooks for Claude Code. Developers should use it when setting up Stop hooks for autonomous continuation or configuring pre/post tool execution hooks. It provides capabilities for hook status checking, security validation, and result processing in automated workflows.
Quick Install
Claude Code
Recommendednpx skills add adaptationio/Skrillz -a claude-code/plugin add https://github.com/adaptationio/Skrillzgit clone https://github.com/adaptationio/Skrillz.git ~/.claude/skills/ac-hooks-managerCopy and paste this command in Claude Code to install this skill
GitHub Repository
Related Skills
ac-security-sandbox
OtherThe AC Security Sandbox provides defense-in-depth security for autonomous code execution with OS-level isolation, filesystem permissions, and command allowlisting. Developers should use it when validating commands, configuring permissions, or managing allowlists to ensure safe execution. It enables secure command validation and restricted path access within isolated environments.
ac-hooks-manager
OtherThe ac-hooks-manager skill installs and manages Claude Code hooks for autonomous operation, including Stop hooks for continuation and pre/post tool hooks. Use it when setting up autonomous coding workflows, configuring hook-based security validation, or managing tool result processing. It provides centralized hook installation, status checking, and lifecycle management for autonomous development.
ac-session-manager
OtherThe ac-session-manager skill handles autonomous coding session lifecycle, including detecting session types (initial vs. continuation) and managing auto-continuation between sessions. Developers should use it when starting or resuming coding sessions to maintain state and ensure smooth transitions. It provides session creation, configuration, and graceful shutdown with state preservation capabilities.
ac-config-manager
OtherThe AC Config Manager skill provides centralized configuration management for autonomous coding workflows. Developers should use it when loading settings, managing environment variables, or configuring providers like LLM models and safety limits. It handles environment setup, provider configurations, and autonomous mode options through a simple Python interface.
