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by Joseph Blazick

Search arXiv, read bounded full text and original LaTeX, follow citations, and monitor research topics through MCP.

by Samuel Berthe

AI Agent Skills for production-ready Go projects

by Rohit Ghumare

Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 41 skills, 8 agents, 23 commands, 37 hook scripts across 24 events. Cross-agent via skills add.

by Jeremy Longshore

Universal document consistency auditor. Runs deterministic drift checks across docs, code, tests, and CI; resolves conflicts through a per-fact-class authority registry (sot-map.yaml) instead of a global ranking; LLM-judged findings are structurally separated and advisory-only. Read-only — reports discrepancies, never fixes. Invoked automatically by /release Phase 1.6.

by Jeremy Longshore

Intelligent YAML validation, generation, and transformation agent with schema inference, linting, and format conversion capabilities

by Jeremy Longshore

Comprehensive Google Vertex AI multimodal mastery for Jeremy - video processing (6+ hours), audio generation, image creation with Gemini 2.0/2.5 and Imagen 4. Marketing campaign automation, content generation, and media asset production.

by Jeremy Longshore

Build, evaluate, deploy, publish, and migrate Google ADK applications with Google's maintained agents-cli workflow for Agent Runtime, Cloud Run, GKE, and Gemini Enterprise.

by Jeremy Longshore

Security-hardened Agent2Agent (A2A) client as an MCP server — discover cards, send and stream messages, and use confirmation-gated task control

by AutomateLab

Run your work like an AI agency, from a single Notion board. Agents discuss, plan, and execute tasks in parallel with dependency ordering and model routing.

by Jeremy Longshore

Automatically detects and loads AGENTS.md files to provide agent-specific instructions alongside CLAUDE.md. Enables specialized agent behaviors without manual intervention.

by Jeremy Longshore

AI-powered commit message generator - analyzes your git diff and creates conventional commit messages instantly

by Claude Code Plugins

AI ethics and fairness validation. Includes 1 skill.

by Claude Code Plugins

Track and analyze AI experiments with a web dashboard and MCP tools

by Jeremy Longshore

Professional AI/ML Engineering toolkit: Prompt engineering, LLM integration, RAG systems, AI safety with 12 expert plugins

by tonone-ai

AI Operations Team — 9 agents: Deploy, Eval, Trace, Guard, Budget, Token, Prompt, Embed, Rank

by Jeremy Longshore

Multi-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)

by Claude Code Plugins

Create intelligent alerting rules for performance monitoring

by Claude Code Plugins

Detect anomalies and outliers in data. Includes 1 skill.

by Claude Code Plugins

Create Ansible playbooks for configuration management

by Aomi Labs

Aomi for AI agents — drive the Aomi CLI from natural-language prompts (chat, simulate, sign on-chain transactions with account-abstraction-first execution) and scaffold new Aomi apps from API specs. Bundle ships two skills: aomi-transact (run on-chain across 40+ DeFi/perps/CEX/social apps on EVM mainnets and L2s) and aomi-build (scaffold Rust SDK crates from OpenAPI/Swagger specs).

by tonone-ai

Plan and scope a project — discovery, challenge assumptions, present S/M/L options with token and cost estimates. Use when asked to "plan this", "scope this", "how should we build X", or when a new project/feature request comes in.

by tonone-ai

Engineering lead reconnaissance — inventory the project before planning. Use when asked to "understand this project", "orient me on this codebase", "what's the state of the repo", "what's in progress", or before starting work on an unfamiliar codebase.

by tonone-ai

Cross-cutting review of recent work — catches gaps between specialists. Use when asked to "review what we built", "check the work", "pre-launch review", or after completing a significant chunk of work.

by tonone-ai

CTO-level project status from git and codebase state. Use when asked "where are we", "project status", "what's done", or at the start of a work session.