Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits…
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps npx github:microsoft/agentrc readiness and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess…
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling…
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or…
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system…
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: Building AI agents that call external tools (APIs, databases, file systems) Implementing policy-based access controls for agent tool usage Adding semantic intent classification to detect dangerous…
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: Evaluating an agent system's security posture before production deployment Running a compliance check against OWASP ASI 2026 standards Mapping existing security controls to the 10 agentic risks Generating…
Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: Generating SHA-256 integrity manifests for agent plugins or tool packages Verifying that installed plugins match their published manifests Detecting tampered, modified, or untracked files in agent tool directories…
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: Implementing self-critique and reflection loops Building evaluator-optimizer pipelines for quality-critical generation Creating test-driven code refinement workflows Designing rubric-based or LLM-as-judge evaluation systems…
Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.
Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo…
Bootstrap and run a multi-agent AI development team. Use when: starting a new software project with AI agents, setting up parallel dev/QA teams, creating sprint plans, writing brainstorm prompts with distinct agent voices, recovering a project workflow, or planning sprints.
Create polished dark-themed architecture diagrams as self-contained HTML+SVG files. Use when the user asks for system, infrastructure, cloud, security, or network topology diagrams.
Design and implement Arduino integration with Azure IoT Hub and IoT Edge, including secure provisioning, resilient telemetry, command handling, and production guardrails.
INVOKE THIS SKILL when creating, managing, or using annotation configs or annotation queues on Arize (categorical, continuous, freeform), or applying human annotations to project spans via the Python SDK. Configs are the label schema for human feedback; queues are review workflows that route records to annotators.…
INVOKE THIS SKILL when creating, managing, or querying Arize datasets and examples. Also use when the user needs test data or evaluation examples for their model. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI.
INVOKE THIS SKILL for LLM-as-judge evaluation workflows on Arize: creating/updating evaluators, running evaluations on spans or experiments, tasks, trigger-run, column mapping, and continuous monitoring. Use when the user says: create an evaluator, LLM judge, hallucination/faithfulness/correctness/relevance, run eval…
INVOKE THIS SKILL when creating, running, or analyzing Arize experiments. Also use when the user wants to evaluate or measure model performance, compare models (including GPT-4, Claude, or others), or assess how well their AI is doing. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows…