MCP prompts are named templates that combine resource reads and tool calls into a structured multi-step interaction. When your AI client invokes a prompt, the server fetches the relevant workspace data, formats it into a ready-to-use message, and hands it back to the assistant as the starting context for the conversation. Prompts save you from having to tell the assistant which resources to read and in what order. Instead, you just ask the assistant to run a named prompt and it handles everything.Documentation Index
Fetch the complete documentation index at: https://docs.navisops.com/llms.txt
Use this file to discover all available pages before exploring further.
Using a prompt
Ask your AI assistant to run a prompt by name:- “Run the
daily_standupprompt.” - “Use
plan_my_weekto plan my week.” - “Kick off the Q3 launch project using
project_kickoff.”
prompts/get:
plan_my_week
Reads your active projects, open tasks, and this week’s calendar events, then produces a structured weekly plan organized by priority and schedule. What it reads:navis://projects/all— active projectsnavis://tasks/today— overdue and due-today tasksnavis://calendar/week— this week’s events
- High-priority tasks and deadlines for the week
- Calendar commitments and any scheduling conflicts
- Suggested focus areas based on project status and task urgency
- A day-by-day breakdown if your calendar data supports it
“Run plan_my_week and give me a structured plan for this week.”
daily_standup
Reads tasks completed recently, tasks due today, and today’s calendar events, then formats a standup message you can paste directly into Slack or your team’s standup channel. What it reads:- Tasks completed in the past 24 hours
navis://tasks/today— tasks due today or overduenavis://calendar/week— today’s events
“Run the daily_standup prompt and give me something I can paste into Slack.”
project_kickoff
Given a project, reads its details and scaffolds a set of milestones, initial tasks, and a kickoff note to help you get started quickly. Optionally calls write tools to create the scaffolded items in your workspace. What it reads:- The specified project’s metadata and existing tasks
- Your workspace’s project types and tags for context
- Suggested milestones based on the project name and description
- An initial set of tasks for each milestone
- A kickoff note summarizing the project goal, scope, and first steps
mcp:write scope if you want the assistant to actually create the tasks and note. With mcp:read only, the assistant can produce the plan but cannot write it to your workspace.
Best used: Immediately after creating a new project.
Example prompt to your assistant:
“Run project_kickoff for the Q3 Launch project and create the tasks in my workspace.”
task_retrospective
Reviews completed tasks over a period and produces a summary of what was accomplished, patterns in the work, and any items left open. What it reads:- Completed tasks filtered by project and/or date range (you specify these in your prompt)
- Open tasks in the same scope for comparison
- Total tasks completed and time span covered
- Breakdown by project and priority
- Patterns — for example, which days were most productive, which task types recurred
- Open items that were not completed during the period
“Run task_retrospective for the Q2 Marketing project and summarize what we accomplished.” “Use task_retrospective to review everything I completed last week.”
Scope requirement
All four prompts require at leastmcp:read scope to read the workspace data they depend on. project_kickoff additionally requires mcp:write if you want the assistant to create the scaffolded tasks and notes — otherwise it can only produce a plan for you to review.