Menu
SkillsMP has collected 305 skills from MarieLynneBlock/arcanum-artifex. Open a skill to review its source and details.
Showing 40 of 305 collected skills.
Check that a Copilot customisation asset (skill, workflow, agent, instruction, or prompt folder) stays standalone and copyable, with no runtime dependency on paths outside its own folder. Use when packaging an asset for reuse, reviewing whether an asset can…
Audit Markdown links, images, and local anchors for broken relative references. Use when reviewing documentation changes, moving or renaming assets, updating indexes, or investigating broken links.
Validate YAML frontmatter of Copilot customisation assets in this lab (SKILL.md, WORKFLOW.md, *.agent.md, *.instructions.md, *.prompt.md). Use when adding, reviewing, or fixing an asset's frontmatter, or when asked to check whether an asset follows repository…
Use when calculating, validating, interpreting, or improving DORA software delivery performance metrics from GitHub, GitLab, Jira, incident-management, deployment, or Copilot usage data.
Build PowerPoint (.pptx) slide decks in a Nord-themed house style — Nord palette with a dark theme (default) and a light theme, Consolas mono figures, kicker + title + standfirst anatomy, white-on-dark cards with coloured accent bars, green takeaway banners,…
Design and implement governance controls for tool-using and multi-agent AI systems, including policy enforcement, approval gates, audit trails, trust scoring, rate limits, and safe tool execution.
Assess tool-using and multi-agent AI systems against OWASP ASI-style controls, mapping evidence to prompt injection, tool governance, agency, escalation, trust boundaries, audit, identity, policy integrity, supply chain, and behavioural monitoring risks.
Guide users to review and install the external ai-ready skill from its upstream repository. Use when the user asks to install or try John Papa's ai-ready skill.
Beginner-friendly interactive tutorial for GitHub Copilot CLI concepts, slash commands, permissions, file context, planning, and custom instructions.
Build an automated evaluation pipeline that tests a Python LLM application end-to-end with pixie test — real code paths, real LLM calls, instrumented external data — and scores outputs with evaluators instead of assertions. Use when adding evals to a Python…
Interactive task-refinement workflow that clarifies scope, deliverables, and constraints before carrying out the task. Uses Joyride input tools when available.
Generate GitHub Copilot migration instructions by comparing two project versions and extracting conventions for framework upgrades, refactoring, dependency changes, or technology migrations.
Set up a GitHub Copilot customisation starter pack for a new project based on its technology stack, including instructions, skills, agents, and optional setup workflow files.
Create and synchronise prompt-based AI agents directly within Azure AI Foundry via REST API, from a local JSON manifest. Unlike scaffolding skills that only generate local code, this skill registers agents in the Foundry service itself — making them…
Generate a complete MCP server implementation optimised for Copilot Studio integration with proper schema constraints and streamable HTTP support
Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.
Plain-English response style for non-technical Copilot CLI users. Explains approval prompts, errors, command output, and technical choices with clear risk indicators.
Guide users through creating high-quality GitHub Copilot prompt files with clear structure, appropriate tools, validation criteria, and maintainable instructions.
Transform lessons learned into domain-organised memory instructions for global or workspace scope. Syntax: `/remember [>domain [scope]] lesson clue`.
Create tldr-style summaries for GitHub Copilot customisation files, MCP server documentation, or Copilot documentation from files, URLs, or focused queries.
Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: "help me understand", "explain this code", "I'm stuck", "Im stuck", "I'm confused", "Im confused", "I don't understand", "I dont understand", "can…
Draft performance reviews, self-assessments, peer reviews, and upward feedback in your own voice. Analyses your contributions, emails, and meeting history via WorkIQ, then produces honest, impact-focused drafts using the STAR format. USE FOR: write my…
Ranks any list of impediments and their countermeasures using a value-stream scoring model (ROI, Cost to Implement, Ease of Deployment, Risk Factor) and a fixed prioritisation formula. Use when someone asks to prioritise, rank, sequence, or triage…
Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.
Produce Philippe Kruchten's 4+1 architectural view model for a software system, with rendered diagrams (Mermaid primary, PlantUML fallback for deployment) AND Miro RISEN prompts for each view. Use this skill whenever the user mentions "4+1", "architecture…
Create an Architectural Decision Record (ADR) document for AI-optimised decision documentation.
Comprehensive technology stack blueprint generator that analyses codebases to create detailed architectural documentation. Automatically detects technology stacks, programming languages, and implementation patterns across multiple platforms (.NET, Java,…
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
Design and build production-grade dashboards and infographics with Dash and Plotly Python: layout strategy, colour semantics, accessibility, and pre-ship validation. Use when creating or beautifying a dashboard, KPI panel, or data infographic.
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core…
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analysing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file…
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
Low-level plotting library for full customisation. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots…
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.