RockyHong/super-bootstrap
Claude Code plugin: one command scaffolds CLAUDE.md, picks skills/MCPs for your stack, and adds a route-aware workflow with doc-sync commit gate.
Claude Code plugin: one command scaffolds CLAUDE.md, picks skills/MCPs for your stack, and adds a route-aware workflow with doc-sync commit gate.
npx skills add RockyHong/super-bootstrapClaude Code plugin: one command scaffolds CLAUDE.md, picks skills/MCPs for your stack, and adds a route-aware workflow with doc-sync commit gate.
AgentK is a user-space security kernel for AI agents: an MCP/tool boundary with typed syscalls, taint-aware policy, capability receipts, signed evidence, and replayable flight logs.
Show the current state of the wiki — what's been ingested, what's pending, and the delta between sources and wiki content. Use this skill when the user asks "what's the status", "how much is ingested", "what's left to process", "show me the delta", "what changed since last ingest", "wiki dashboard", or wants an overview of their knowledge base health and completeness. Also use before deciding whether to append or rebuild. Includes an insights mode triggered by "wiki insights", "what's central", "show me the hubs", "central pages", "what's connected", "wiki structure" — analyzes the shape of the wiki itself to surface top hubs, cross-domain bridges, and orphan-adjacent pages.
Create modern Angular standalone components following v20+ best practices. Use for building UI components with signal-based inputs/outputs, OnPush change detection, host bindings, content projection, and lifecycle hooks. Triggers on component creation, refactoring class-based inputs to signals, adding host bindings, or implementing accessible interactive components.
Provide AI agents with temporary, disposable email addresses via an MCP server to automate sign-ups and verification processes.
My personal Claude Code skills library — the skills I use daily across coding, writing, research, content, and day-to-day workflows. MIT licensed, fork what's useful.
Write your dev workflow once. Run it on any LLM. Open agent skills + multi-model swarm + a local findings store that learns which models you can trust.