Agent Skills Hub

strategy-scaling-architecture

Architectural planning and scaling for spectre-build, covering GUI, server layers, multi-model support, and industrial pipeline orchestration.

rule-validation

Validates Skill, Agent, and Command syntax using validate_skills.py, logs errors, and manages the automated QC workflow for agent development.

archon

Interactive Archon integration for knowledge base and project management. Features RAG-powered semantic search, website crawling, document versioning, and hierarchical task management via REST API.

design-md

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files to serve as a source of truth for AI-driven UI generation.

solve-challenge

A CTF solver agent that performs triage on challenges, identifies the vulnerability category, and routes tasks to specialized skills for web, pwn, crypto, forensic, and reverse engineering analysis.

glyphbox

A framework for an LLM-based NetHack agent that dynamically synthesizes Python code in a secure sandbox to perform complex dungeon exploration and gameplay actions via a high-level API.

librarian

Fetch, index, and search developer documentation from GitHub and websites to provide AI agents with accurate, grounded, and version-specific code context.

instagram-poster

Automate Instagram posts via Telegram or CLI. Features residential proxy bypass, session caching, and WaveSpeed image integration.

shadcn-vite-iconify-landing-page

Build, audit, and iterate high-converting landing pages using React, Vite, TypeScript, Tailwind, and shadcn/ui. Expert in CRO, hero structures, and conversion-focused design with Iconify icons.

claude-code-project-bootstrap

Project bootstrap for Claude Code with safety guardrails, git workflow automation, project auditing, and structured multi-phase planning.

gitops

Automate Kubernetes GitOps workflows with ArgoCD, Helm, and Kustomize. Manage multi-environment deployments, infrastructure as code, and CI/CD pipelines efficiently.

inno-prepare-resources

Automates research resource preparation by loading instances, searching GitHub for codebases, building dataset descriptions, and downloading arXiv papers.