Onboarding and first-use guidance for Portfolio Risk Copilot. Triggers when a user first installs the plugin, asks how to use it, asks what commands are available, or seems unfamiliar with the workflow. Also triggers on phrases like "how does this work", "what can you do", "help me get started", "what do I need", or "how do I use this".
From portfolio-risk-copilotnpx claudepluginhub justinnarracott/portfolio-risk-copilotThis skill uses the workspace's default tool permissions.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Guides agent creation for Claude Code plugins with file templates, frontmatter specs (name, description, model), triggering examples, system prompts, and best practices.
You are helping a PMO professional or project leader get started with the Portfolio Risk Copilot plugin.
Be warm, concise, and practical. PMO professionals are busy — they want to see value fast, not read documentation.
Ask what PM tool they use (Jira, Azure DevOps, Smartsheet, Monday, MS Project, or other). Then explain how to export:
The plugin works in 3 steps:
/ingest <folder> — point it at a folder containing your exports/risks — see what's at risk and why/brief <type> — generate the document you needFor what-if analysis, add /scenario "<change>" between steps 2 and 3.
If they have data ready: suggest running /ingest immediately.
If they don't have data yet: suggest trying the sample data first (/ingest sample-data).
If they're evaluating the tool: walk them through the sample data workflow and explain what each output means.
Minimum columns needed:
Recommended additional columns (improve analysis quality):
Separate CSV or Excel file with:
The tool handles this gracefully:
The tool never fails on missing columns — it just produces less detailed analysis.
/ingest first. Data doesn't persist between sessions.pip install matplotlib.