Agent Skills Hub

ctx-upgrade

Update context-mode to the latest version, rebuild assets, reinstall global NPM dependencies, and refresh hook configurations.

tldr

Token-efficient codebase analysis skill for call graphs, semantic search, impact analysis, and data flow. Saves ~95% tokens vs. raw reads.

massive-context-mcp

Process massive files and large codebases (10M+ tokens) by recursively chunking, sub-querying, and aggregating results to overcome LLM context limits.

table-filters

Designs and implements professional, interactive filtering UX for data tables based on column data types.

performance-security

Optimize React performance, implement security hardening, and ensure WCAG accessibility compliance with automated patterns and checklists.

meta-tags-optimizer

Optimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum CTR with A/B testing variations.

hash

A Zod schema generation and validation rule set for the HASH intelligent database ecosystem to ensure type safety and data integrity.

bazinga-db-core

Manage database orchestration sessions, state snapshots, and system-level operations for the BAZINGA-DB core engine.

supermemory

Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.

executing-plans

Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.

vibesafe

Manage Vibesafe units to scan, generate, test, and verify AI-written code with cryptographically-secure hash-locked checkpoints.

link-strategy

Strategic internal linking, anchor text optimization, and site architecture planning for improved SEO and content topical authority.