Agent Skills Hub

specstory-organize

Automatically organize your SpecStory AI coding session history into a structured YYYY/MM directory hierarchy to improve file management and archiving.

sast-configuration

Automate SAST configuration and security scanning. Supports Semgrep, SonarQube, and CodeQL for DevSecOps, quality gate management, and vulnerability detection.

github-wayback-recovery

Recover deleted GitHub repository content, issues, PRs, and files using Wayback Machine CDX API queries and web archive snapshots.

disabling-services

Safely hide services from the Coolify documentation listing while preserving existing pages for SEO, bookmarks, and historical reference.

library

Private skill distribution system for managing agentics across devices and teams. Install, sync, add, and update your agents, skills, and prompts via a central library catalog.

ctf-solver

An expert-level CTF solver agent that automates reconnaissance, vulnerability analysis, and exploit generation for web, pwn, crypto, reverse, and forensic challenges.

batch-coordinator

Validates and coordinates batch study guide operations, preventing errors by enforcing template compatibility, file availability, and source-only policies before agent execution.

state-snapshot

Capture a complete debuggee state snapshot, including all committed memory regions and processor registers, for offline analysis and forensic investigation.

markdown-token-optimizer

Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.

confluence-docs

Standardized technical documentation templates for ADRs, runbooks, architecture, and knowledge transfer in AI agent workflows.

excel-export-validator

Validates Excel exports for Customer Feedback Analyzer with 7 specific view sheets, 36 columns, and precise color-coded formatting. Ensures zero errors in customer-facing deliverables.

codebase-inspection

Analyze codebase statistics: LOC, language distribution, and code-to-comment ratios using pygount.