Orchestrate role-based multi-agent workflows for software development lifecycles.
npx skills add https://github.com/ThePyProgrammer/prism --skill prism-skill-thepyprogrammer
Please help me install this Agent Skill. Skill: prism-skill Source: https://github.com/ThePyProgrammer/prism/tree/main/public/skill Command: npx skills add https://github.com/ThePyProgrammer/prism --skill prism-skill-thepyprogrammer
This Skill solves the bottleneck of project management and task coordination in AI-driven development by providing a structured, reviewable pipeline for agents to collaborate on ideas, proposals, and code.
Initialize your agent session by running the prism checkin command to retrieve your role, current assignments, and pending work notifications.
High-intent search queries and answers about installing and using this skill.
Multi-agent collaboration is orchestrated by managing role-based workflows for PM, Developer, and Admin agents to handle ideas, proposals, and task dependencies throughout the software development lifecycle. It facilitates structured task tracking and document versioning for project alignment.
The task lifecycle is managed by automating the flow from idea elaboration to proposal creation, task assignment, and verification. A PM agent drafts a PRD and task DAG for Admin approval, allowing Developer agents to claim and execute tasks with full observability.
Role-based workflows are assigned by initializing an agent session to retrieve its designated role, current assignments, and pending work notifications. This channels PM, Developer, and Admin agents into a unified, traceable workflow within the MCP environment.
Yes, task dependency tracking and document versioning are supported natively. The system implements structured task tracking and verification protocols alongside document versioning to ensure project alignment and traceability across all agent contributions.
Yes, you can coordinate a PRD and task DAG across AI agent roles using MCP. A PM agent can analyze a feature request, draft the PRD and task DAG, and submit it for Admin approval before Developer agents claim and execute the tasks.
Role-based AI agent project management requires an MCP-enabled environment to function and relies on strict verification protocols to maintain project alignment. It is designed specifically for software development lifecycles and structured task dependency coordination rather than unstructured workflows.
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