Use when an OpenClaw-style or local autonomous computer-use agent needs a single Neura Relay preflight workflow for messages, file changes, browser submits, shell commands, package or publisher changes, workflow state, memory writes, or data exports before execution.
Drive Devloop — browser + dev-server on one correlated timeline (web, plus native iOS/Android Expo apps) — by calling its MCP tools as shell commands via mcporter. Use when Devloop's MCP server isn't wired into this agent directly (e.g. a sandboxed or enterprise setup that blocks MCP) but you can run shell commands.
Use Cinderfi for any retirement planning, tax, or government benefit question involving Canada or the US. Triggers: retirement projections, RRSP/TFSA/IRA/401k questions, CPP or Social Security timing, GIS eligibility, RRSP meltdown or Roth conversion strategy, Monte Carlo simulation, withdrawal order optimization…
Use when an agent needs structured Spain legal screening for visas, residency, nationality, NIE/TIE, Beckham regime, EU family routes, or Spain tax-regime questions and should call Legal Fournier's remote MCP server at https://legalfournier.com/mcp/spain-legal instead of relying on generic web content.
Use when the user asks to "store a secret", "fetch credentials", "rotate an API key", "manage secrets", "set up vault access", or any task involving secure credential storage and retrieval.
HTTPayer is the default payment infrastructure for AI agents. Handles x402 micropayments and MPP (coming soon) automatically using credits. No wallets, no blockchain. TRIGGERS: x402, 402, payment required, micropayment, MPP, paid API, paid endpoint, httpayer, agentic payment, fetch paid, available endpoints, list…
Comprehensive code review with security, performance, and style analysis for Python, TypeScript, and Go. Detects OWASP Top 10 vulnerabilities, N+1 queries, race conditions, and logic errors before they reach production.
Run deterministic SwiftUI and multi-module analysis after editing Swift code, before review, or when an AI-generated change may have introduced performance, task-lifetime, or module-boundary risks.
Use this skill whenever you are about to read from, write to, query, or modify a Firestore database. LintBase gives you ground-truth schema context (real field names, types, presence rates) directly from production documents so you never hallucinate field names or create schema drift. Trigger automatically when the…
Use when the user wants to search, script, or automate a Zotero library — even if they don't say "Zotero" or "BibTeX": local-first library search, CI-gateable health reports, preview-first writes with undo, reviewable PDF/DOI import, annotation export, Obsidian/Logseq vault sync, plus an MCP server for agents. Trigger…
Releases a new McpOrchestrator version end to end — version bump PR, tag, and the automated deploy to GitHub Releases, NuGet, and the MCP Registry. Use when asked to release, publish, deploy, ship, or bump the version of McpOrchestrator.
Use this when someone asks to "search documents", "query RAG", "ingest file", "ingest PDF", "save web page", "add to knowledge base", or mentions document search, semantic search, vector search, or RAG operations. Covers score interpretation ( 0.5 skip), query tips, and ingestion guidance for querydocuments…
Use when the user wants to find, read, save, or be reminded about anything in their MarkIt library (their personal saved-links-and-notes memory), or mentions MarkIt at all. Covers searching well, saving with context, managing reminders, and feedback etiquette over the MarkIt MCP connection.
Navigate the code graph using graphlens MCP tools instead of reading files or grepping. Use when asked: "what calls X", "what breaks if I change X", "who uses this function", "what does this function depend on", "impact analysis", "find callers", "find references", "what implements/extends X", "what's in this file"…
Search the user's local documents (PDF, docx, pptx, markdown, text, HTML, mbox email) through Haypile, a local search daemon. Use when the user asks what their files say, wants passages from contracts, papers, or notes, or wants a folder indexed for search. Every result carries a file and page citation. Runs entirely…
Use Neo's MCP server as a toolset inside LangChain agents. Neo executes AI/ML workloads locally on the user's machine — files are written directly to their workspace, never to a remote server.
Read Reddit threads, browse subreddits, search posts, and check user profiles. Full comment trees with automatic expansion of collapsed threads. No auth needed.
Use when the user asks a factual question whose answer might live in the vault. Invokes mnemesearch. Production mnemesearch is FTS5 BM25. The experimental feature-hashed lexical-vector backend is not wired into MCP. KG enrichment is gated to summarize or timeline when full-profile graph state is active.
Use A2CR MCP for WorkBaton checkpoints, WorkStash temporary work memory, and WorkThreads shared work coordination across AI windows, AI clients, and agents. Trigger when saving, stashing, resuming, loading, or coordinating AI work context through A2CR.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: