D&D and TTRPG campaign manager for GMs: your AI reads and writes a live, typed campaign database.

Comprehensive documentation guide for Golang projects, covering godoc comments, README, CONTRIBUTING, CHANGELOG, Go Playground, Example tests, API docs, and llms.txt. Use when writing or reviewing doc comments, documentation, adding code examples, setting up doc sites, or discussing documentation be

Enables AI assistants and agents to send WhatsApp, SMS, and email messages, verify OTP codes, and run campaigns through an account-based messaging platform.

Email infrastructure for AI agents: send, read replies as threads, campaigns, per-key limits.

Structured logging extensions for Golang using samber/slog-**** packages — multi-handler pipelines (slog-multi), log sampling (slog-sampling), attribute formatting (slog-formatter), HTTP middleware (slog-fiber, slog-gin, slog-chi, slog-echo), and backend routing (slog-datadog, slog-sentry, slog-loki

It enables compatible AI agents to audit public web pages, crawl bounded same-host site samples, collect and compare AI answers, and read a user's own Google Search Console data locally.

Turns a long tennis recording into a labeled highlight reel: keyframe-aligned lossless rally clips, hit count / venue / timestamp burned in, and a self-check on every output. Runs locally with ffmpeg.

Enables AI assistants to persist and recall local memory across sessions and projects through hybrid BM25/TF-IDF retrieval over a file-based vault. Facts are tracked with dual-clock timestamps and require no native dependencies.

Operate AirysChat — conversations, CRM, AI Agents, Meta Business Agent, and WhatsApp campaigns.

Vendor-neutral control-plane contract for coding agents: a normalized ToolCallEvent/Verdict schema with per-agent adapters (Claude Code, Codex, Amp, Gemini CLI) and a conformance suite.

Lifecycle email for agents: journeys, campaigns, contacts, consent and delivery health.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

Search and triage all your mailboxes; draft replies and campaigns; send only as you allow.

Explore and understand Nx workspaces. USE WHEN answering questions about the workspace, projects, or tasks. ALSO USE WHEN an nx command fails or you need to check available targets/configuration before running a task. EXAMPLES: 'What projects are in this workspace?', 'How is project X configured?',

Send email, check deliverability, set up domains, and run templates, contacts and campaigns.

Free Google Business Profile audits and sample posts for therapists in private practice.

Official GSAP skill for gsap.utils — clamp, mapRange, normalize, interpolate, random, snap, toArray, wrap, pipe. Use when the user asks about gsap.utils, clamp, mapRange, random, snap, toArray, wrap, or helper utilities in GSAP.

Enables AI agents to retrieve Formula 1 race narratives, lap-by-lap timelines, stint strategy, telemetry-derived circuit surveys, championship projections, and historical results through eight focused tools that return plain JSON with era-aware coverage.

Ecommerce email MCP for Shopify/Woo — campaigns, automations, popups, analytics. OAuth.

End-to-end analytics instrumentation workflow for a PR, branch, file, directory, or feature. Reads the code, discovers what events should be tracked, and produces a concrete instrumentation plan — all in one shot. Use this skill whenever a user wants to add analytics to a PR, asks "instrument this P

Reads a PR or branch diff and produces a structured YAML change brief for downstream analytics instrumentation skills. Use this as the first step whenever a user shares a PR link, branch comparison, or raw diff and wants to understand what changed, what needs tracking, or how to instrument a feature

Discovers how analytics tracking calls are actually written in this codebase — the concrete SDK calls, function signatures, and import patterns used to send events. Use this skill whenever you need to understand the existing analytics instrumentation patterns before adding new tracking, when someone

Given a change_brief YAML (output from diff-intake), generates an exhaustive list of candidate analytics events to instrument. Takes the perspective of an engineer with a PM mindset — surfaces everything worth considering so a PM can decide what actually matters. Use this as step 2 of the analytics

Given event_candidates YAML (output from discover-event-surfaces), generates a concrete instrumentation plan for priority-3 (critical) events. Acts as a Software Architect: discovers existing analytics patterns in the codebase, reads the hinted files to determine what variables are in scope, designs