AI & ML

anthropic Bundle

Create new skills, modify existing ones, and measure their performance through iterative evaluation and benchmarking.

alirezarezvani Bundle

Optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources, distinct from traditional SEO.

alirezarezvani Skill

Evaluate and rank agent results by metric or LLM judge for an AgentHub session.

alirezarezvani Skill

Create a new AgentHub collaboration session with task, agent count, and evaluation criteria for multi-agent competitions.

alirezarezvani Bundle

Design, tune, and evaluate production RAG pipelines with deterministic tools for chunking, pipeline design, and retrieval evaluation.

alirezarezvani Skill

Read, write, and browse the AgentHub message board for agent coordination. Use when the user runs /hub:board or asks to post, read, or inspect coordination messages between competing AgentHub agents.

alirezarezvani Skill

Merge the winning agent's branch into the base branch, archive losing branches via git tags, and clean up worktrees after an AgentHub competition session.

alirezarezvani Bundle

Design multi-agent system architectures, generate tool schemas for Anthropic and OpenAI formats, and evaluate execution logs for cost, latency, and failure bottlenecks.

alirezarezvani Skill

Display DAG state, agent progress, and branch status for an AgentHub session.

alirezarezvani Bundle

Compacts the current conversation into a handoff document for another agent to pick up, referencing existing artifacts by path or URL instead of duplicating them.

alirezarezvani Bundle

Design or revise a company's commercial policy governing discounts, approver thresholds, exception flows, and deal frameworks using data-backed matrices and linting tools.

alirezarezvani Bundle

Assess AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, and agent tool abuse, with MITRE ATLAS mapping and guardrail recommendations.

alirezarezvani Bundle

Orients researchers to an unfamiliar academic field by searching Consensus, building a strategic search plan with PICO or other frameworks, and synthesizing findings into a formatted Word document.

alirezarezvani Bundle

Runs a structured 6-phase multi-agent board meeting protocol for strategic decisions, with isolated C-suite contributions, critic analysis, synthesis, founder review, and decision extraction.

alirezarezvani Bundle

Spawns multiple parallel AI agents that compete on the same task using isolated git worktrees, evaluates results, and merges the best solution.

alirezarezvani Bundle

Builds and maintains a persistent, interlinked Obsidian knowledge base by incrementally ingesting sources, updating entity/concept pages, and keeping cross-references current.

alirezarezvani Bundle

Defines an inter-agent communication protocol for C-suite agent teams, including invocation syntax, loop prevention, isolation rules, and response formats to coordinate cross-functional analysis and board meetings.

alirezarezvani Bundle

Design and ship production-ready MCP servers from OpenAPI contracts instead of hand-written tool wrappers. Supports Python and TypeScript, schema validation, and safe evolution.

alirezarezvani Bundle

Run parallel feature work safely with Git worktrees, standardizing branch isolation, port allocation, environment sync, and cleanup for independent local development.

alirezarezvani Bundle

Provides a framework for rolling out organizational changes using the ADKAR model adapted for startups, with communication templates, resistance patterns, and change fatigue management.

alirezarezvani Bundle

Drafts and sequences internal change-management communications (re-orgs, layoffs, policy changes) using ADKAR and Kotter models, producing announcement text, FAQ, manager talking points, and a touchpoint calendar.

alirezarezvani Bundle

Scan and audit AI agent skills for security risks before installation, producing a PASS/WARN/FAIL verdict with findings and remediation guidance.

addyosmani Skill

Optimizes agent context setup by structuring rules, specs, source files, error output, and conversation history to improve output quality.

addyosmani Skill

Conducts multi-axis code review across correctness, readability, architecture, security, and performance before merging any change.

google Bundle

Guides usage of the Gemini API on Agent Platform with the Google Gen AI SDK, covering SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.

google Skill

Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers.

google Bundle

Run machine learning and generative AI tasks directly in BigQuery SQL using built-in functions for forecasting, anomaly detection, key driver analysis, and text generation.

google Skill

Manage custom Agent resources on the Gemini Enterprise Agent Platform via REST API, including creation, configuration, listing, updating, and deletion with support for files, skills, and tools.

google Skill

Authenticate, initialize, and use the stateful Gemini Interactions API for multi-turn conversations, streaming, structured output, and function calling on the Gemini Enterprise Agent Platform.

google Bundle

Authenticates and connects to Google Cloud Agent Platform for inference with Gemini and third-party OpenMaaS models (Llama, DeepSeek, Qwen). Generates code for multiple SDKs, configures endpoints, and troubleshoots common errors.

google Bundle

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.

google Skill

Sets up Google's agents-cli toolkit and guides through the full agent development lifecycle: scaffold, build, evaluate, deploy, publish, and monitor on Gemini Enterprise Agent Platform.

google Skill

Manage machine learning models in the Agent Platform Model Registry: list, describe, upload, update, and delete models and their versions.

google Bundle

Creates, lists, retrieves, versions, and deletes managed prompts in Google Cloud Agent Platform using the Python SDK.

google Bundle

Configures dynamic threshold alerting policies for Google Cloud Vertex AI Agent Platform agents, monitoring latency, error rates, and quality metrics using Terraform and PromQL.

google Skill

Manages Agent Platform serving endpoints: create, list, describe, update, delete, and troubleshoot permission, quota, and resource busy errors.