Skills for your AI
Builds production-ready MCP servers in Rust with the rmcp SDK and tokio, covering tools, transports, prompts, resources, state, errors, tests, async, and packaging. Use when implementing, configuring, or debugging an rmcp-based MCP server.
Adds programmable safety rails to LLM applications at runtime, covering jailbreak detection, input/output validation, fact-checking, PII masking, toxicity detection, LlamaGuard integration, parallel checks and threshold tuning. Use when a user wants to block j
Manages changes to the agent's own environment — memory and standing instructions, system or npm packages, MCP servers, source code via a builder agent, and new specialist agents. Use when the user asks to update memory or rules, install a tool or package, add
Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Inc
Use when the user asks to optimize prompts, design prompt templates, evaluate LLM outputs with an eval set, measure RAG retrieval quality, validate agent/tool configurations, analyze token usage, or design structured-output contracts. Covers eval-driven prompt
Optimizes prompts, designs RAG, agent, evaluation, production, and security setups for LLM systems, returning annotated rewrites, configuration changes, and design documents. Use when improving a prompt, fixing RAG relevance, designing an agentic workflow, def
Search Google, Bing, Google News and Google Scholar, and read public pages, with the Serply MCP server. Use when the user chooses Serply or its connected tools for current information and source verification.
Explains machine learning model predictions with SHAP values, plots, debugging, feature engineering, model comparison, fairness analysis and deployment guidance. Use when the user asks why a model made a prediction, wants SHAP values or plots, needs feature im
Google Sheets automation workflows - data sync, task management, reporting dashboards, and multi-platform integrations
Writes robust, POSIX-compliant shell scripts for automation and system administration with defensive error handling, input validation, and clear documentation. Use when creating or hardening backup, deployment, log-processing, process-management, or cron/syste
Creates, tests, evaluates, and iteratively improves SKILL.md skills for an AI runtime, including trigger-description optimization. Use when the user wants to build a new skill, edit an existing one, write test prompts, review eval results, or improve a skill's
Slack automation and workflow builder - notifications, standup bots, approval flows, and cross-platform integrations
Launch N parallel subagents in isolated git worktrees to compete on the session task. Use when the user runs /hub:spawn or asks to start the competing agents for an initialized AgentHub session.
Use when Codex should act as the MCP Builder specialist from Agency Agents. Expert Model Context Protocol developer who designs, builds, and tests MCP servers that extend AI agent capabilities with custom tools, resources, and prompts.
Production-grade Stripe integrations: subscriptions with trials and proration, one-time payments, usage-based billing, checkout sessions, idempotent webhook handlers, customer portal, and invoicing. Covers Next.js, Express, and Django patterns. Use when integr
Plans and documents automation for repetitive customer support tasks, covering opportunity identification, scripts, integrations, routing, responses, monitoring, data entry, and reporting. Use when the user wants to find automatable support tasks, draft automa
Breaks large independent data processing tasks into batches, designs and deploys parallel sub-agent swarms, then aggregates, validates, and retries results. Use when processing thousands of documents, analyzing large datasets, or running bulk content generatio
Builds and maintains a local-first SwarmVault knowledge vault from books, notes, code, and recurring sources, covering init, ingest, compile, query, and automation. Use when the user wants to start a vault, add or compile sources into wiki pages, query vault c
Guides design, implementation, and debugging of Model Context Protocol servers in Swift using the official SDK and Swift concurrency. Use when starting a new MCP server, configuring Package.swift or transports, implementing tools, resources, or prompts, review
Checks what a shipped AI product's system prompt and tool schema actually say, by reading a dated archive of captured prompts instead of recalling them. Use before asserting or accepting any claim about an agent's instructions.
Decomposes complex goals into work breakdown structures with PERT effort estimates, dependency graphs, parallelism maps, risk registers and validation checkpoints. Use when planning migrations, launches, multi-agent builds or any goal that needs an actionable
Builds, reviews, documents, prioritizes, and maintains test cases from requirements the user provides. Use when creating test case templates, generating test data or test cases, reviewing existing test cases, documenting them, assessing automation feasibility,
Build E2E tests with TestDriver.ai, the AI code reviewer that runs every pull request in a real desktop sandbox, finds bugs, and builds regression tests
Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved. Use for "latest signals".
