17,695 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
AI fleet project execution (orchestrator=PM, marketing agent, backend dev agent, video agent). Fast-iteration architecture pivots and inter-agent task delegation across multi-hour sessions. Use when a user assigns a multi-agent project with "take it as a team" instruction.
Execute an approved multi-task plan as a verified DAG with @taskgraph — parallel squad workers per task, validation gates the engine runs itself, and an independent reviewer verdict before any task counts as done. Use for deliveries of 5+ tasks with real independence between them; for smaller work dispatch workers…
2-3 sentences describing what this project does, who it's for, and what problem it solves. Helps the AI understand the domain and make appropriate design decisions.
Validate readiness to advance between development phases. Produces a PASS/CONCERNS/FAIL verdict with specific blockers and required artifacts. Use when user says 'are we ready to move to X', 'can we advance to production', 'check if we can start the next phase', 'pass the gate'.
Use when interacting with Backlog project management service - creating issues, listing pull requests, managing projects, checking notifications, or any Backlog operation via CLI.
Apply the final report and PR publication procedure for a Hyper-Waterfall task. Write the final report (report.md), mark the daily task board complete, create the final commit, push the remote publish/task{N} branch, and create an Open PR to {BASEBRANCH}. Invoke only immediately before PR publication after all stages…
Creates and organizes focused planning views from a subset of roadmap tasks. Use when the user wants to build a task graph, analyze dependencies, identify ready or blocked work, or group near-term and future work into a focused planning workspace.
PagerDuty's official local MCP (Model Context Protocol) server which provides tools to interact with your PagerDuty account directly from your MCP-enabled client. Runs locally from the pagerduty-mcp Python package. Needs 2 environment variables to run.
★not rated 77 2d agoA
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originalApache-2.0archived
The AI-native PM operating system — deep, framework-grounded PM skills with live MCP tool integrations, chained sub-agent workflows, and persistent user memory. Built for solo PMs and founding PMs who need an AI partner that actually knows their product.
MCP server that lets AI assistants manage Redmine issues, projects, wikis, and time tracking. Runs locally from the redmine-mcp-server Python package. Needs 12 environment variables to run.
★not rated 75 yesterdayA
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originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: