Quarterback

io.github.bobbyrgoldsmith由 GitHub 帳號 bobbyrgoldsmith 發布v1.0.1更新於 Oct 24, 2026

Strategic task prioritization and agent orchestration for multi-project operators

概覽

AI 產生的概覽

Quarterback 是本地執行的多專案任務優先順序與代理編排 MCP 伺服器,讓助理依加權評分、組織脈絡與時間規劃建議你現在該做什麼。

可以做什麼
管理任務與專案:新增、更新、列出任務與專案,取得依加權分數排序的優先順序、快速致勝項目、衝突偵測與組織摘要。
適用情境
當你同時經營多個專案、需要決定此刻該先做哪一項時,或想讓助理依目標、限制與可用時間規劃每日工作時使用。也適合把任務狀態與交付紀錄串進 CI/CD 或自動化流程。
執行需求
需在本機安裝 Python 套件(含 MCP 支援)並以 quarterback-server 指令啟動,資料預設存放於家目錄下的 .quarterback 資料夾;可用環境變數 QUARTERBACK_HOME 與 PLAYBOOK_PATH 指定資料與知識庫位置。無需帳號或 API 金鑰。
安裝前請注意
助理可新增、修改任務與專案、寫入 Playbook 知識庫、建立與刪除 webhook,並把任務標記為可交由代理自主執行;自主層級可能讓代理直接完成工作。webhook 會把任務事件送往你指定的外部端點,設定前請確認對象。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Quarterback,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Quarterback

Read the field. Call the play.

Strategic task prioritization and agent orchestration for multi-project operators.

[PyPI] [Python] [License: MIT] [CI] [bobbyrgoldsmith/quarterback MCP server]


Every other AI task manager breaks down one project into subtasks. Quarterback helps you decide which of your ten projects to prioritize right now — using a 5-factor weighted scoring engine, organizational context, and time-aware planning. It runs locally, costs nothing, and works as both a standalone CLI and an MCP server for Claude.

What Makes Quarterback Different

FeatureQuarterbackTaskMaster AIShrimp Task Manager
Multi-project prioritization5-factor weighted engineSingle-project breakdownSingle-project
Advisory document systemAnalyze articles against your goalsNoNo
Agent orchestrationAutonomy levels + webhooksNoNo
Time-aware planningWorking hours, lunch, buffer timeNoNo
Organizational contextGoals, constraints, workflowsNoNo
Knowledge wiki (Playbook)LLM-maintained wiki for cross-session consistencyNoNo
Conflict detectionCross-project scheduling conflictsNoNo
Standalone CLIFull CLI without AI runtimeRequires AIRequires AI
CostFree (MIT)FreeFree

Quick Start

bash
# Installpip install quarterback
# Initialize (creates ~/.quarterback/)quarterback init
# Interactive setup wizard — walks you through org, goals, workflows, projects, constraintsquarterback setup
# Add your first project and tasksquarterback add "Launch landing page" --project "My Startup" --priority 4 --effort 3 --impact 5quarterback add "Write blog post" --project "Content" --priority 3 --effort 2 --impact 3
# See what to work onquarterback priorities
# Find quick winsquarterback quick-wins
# Plan your day with time awarenessquarterback plan-day

LLM-Powered Setup (via MCP)

When using Quarterback as an MCP server, ask your LLM: "Set up Quarterback for me" — it will call the setup_quarterback tool, interview you conversationally about your business, goals, workflows, projects, constraints, and knowledge base (Playbook), then write all config files and database records in one shot. No manual YAML editing required.

MCP Server

Quarterback works with any MCP-compatible client — Claude Desktop, Claude Code, Cursor, Windsurf, Cline, OpenAI agents, and others. All 23 tools use standard MCP protocol (JSON-RPC over stdio) with no LLM-specific dependencies.

bash
# Install with MCP supportpip install quarterback[mcp]

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

json
{  "mcpServers": {    "quarterback": {      "command": "quarterback-server"    }  }}

Or for Claude Code (~/.claude/settings.json):

json
{  "mcpServers": {    "quarterback": {      "command": "quarterback-server"    }  }}

The same quarterback-server command works with any MCP client — just add it to your client's server configuration.

Then ask your LLM: "What should I work on today?" — it will use all 23 Quarterback tools to analyze your priorities.

Features

5-Factor Prioritization Engine

Every task is scored across five dimensions:

FactorWeightWhat it measures
Impact30%Task impact + project revenue/strategic value
Urgency25%Due date proximity + blocking status
Strategic25%Project priority + milestone status
Effort15%Inverted effort score (quick tasks score higher)
Quick Win5%High impact + low effort bonus

Advisory Document System

Analyze external articles, books, and advice against your organizational context:

bash
# Import and auto-analyze an articlequarterback advisory-add --title "Growth Strategy" --url https://example.com/article
# Review the analysisquarterback advisory-view --id 1
# Approve recommendations (optionally create tasks)quarterback advisory-approve --id 1 --approve 1,3,5 --create-tasks

The analyzer checks every recommendation against your goals and constraints, flagging conflicts and synergies.

Agent Orchestration

Mark tasks for autonomous agent execution with configurable autonomy:

  • Draft: Agent creates a draft for your review
  • Checkpoint: Agent pauses at key decisions for approval
  • Autonomous: Agent runs to completion

Webhooks notify your automation layer (n8n, Zapier, custom) when tasks are ready.

Playbook — Knowledge Wiki

Playbook is Quarterback's compiled knowledge layer. It's an LLM-maintained markdown wiki that gives every session — local CLI, MCP, or autonomous agent — the same canonical context about your projects, decisions, and strategies.

The problem it solves: Without Playbook, each AI session starts fresh and re-derives your organizational context from sparse signals. Two sessions running the same query can produce different results because they reconstruct understanding independently. Playbook provides accumulated knowledge that all sessions read from.

How it works:

~/playbook/                          (or ~/.quarterback/playbook/)├── CLAUDE.md                        # Schema — how the LLM reads/writes pages├── raw/                             # Drop zone for source material└── wiki/    ├── index.md                     # Master catalog — read this first    ├── entities/                    # Companies, products, clients, tools    ├── concepts/                    # Patterns, strategies, recurring themes    ├── decisions/                   # Decisions with rationale and alternatives    ├── compiled/                    # QB-compatible files for task scoring    │   ├── goals.md                 # Read by QB's prioritization engine    │   └── constraints.md           # Read by QB's conflict detection    └── log.md                       # Append-only operations record

Setup: Playbook is created automatically during quarterback setup (or the MCP setup wizard). The interview asks about your key entities, concepts, and decisions, then seeds initial wiki pages.

Without Playbook: Quarterback works exactly as before — reading goals and constraints from ~/.quarterback/org-context/ files. Playbook is opt-in.

With Playbook: Quarterback reads compiled/goals.md and compiled/constraints.md from Playbook first, falling back to org-context/ files if Playbook isn't initialized. Your LLM reads wiki/index.md for full organizational context.

bash
# Check Playbook statusquarterback playbook status
# Browse the indexquarterback playbook index
# List pages by categoryquarterback playbook list --category entities
# Read a specific pagequarterback playbook read entities/my-product.md
# Search across all pagesquarterback playbook search "budget"

Obsidian integration (optional): During setup, you can opt to configure Playbook as an Obsidian vault. Open the Playbook folder in Obsidian for graph visualization and visual editing. Install an Obsidian MCP server for programmatic access. No Obsidian dependency required — Playbook works as plain markdown files.

CI/CD Pipeline Integration

Quarterback's CLI and webhook system make it a natural fit for automated pipelines — update task status, log deliverables, and trigger downstream work without a human in the loop.

Direct CLI in pipelines

Add Quarterback commands to any CI/CD step. The CLI is stateless and scriptable:

yaml
# GitHub Actions example: auto-update task on deploy- name: Mark deploy task complete  run: |    pip install quarterback    export QUARTERBACK_HOME=${{ runner.temp }}/.quarterback    quarterback update 42 --status completed --notes "Deployed via CI, SHA: ${{ github.sha }}"
yaml
# After test suite passes, log results to a task- name: Report test results  run: |    quarterback update 38 --notes "Tests passed: 106/106, coverage 87%. Build #${{ github.run_number }}"
yaml
# Nightly: check for overdue deliverables and alert- name: Nightly priority check  run: |    quarterback alert-check    quarterback priorities today --limit 5
Agentic CI/CD with webhooks

Register a webhook and let your automation layer react to task events in real time:

bash
# Register a webhook pointing at your n8n/Zapier/custom endpointquarterback-server  # MCP tools available, or use CLI:
python
# In your automation script: mark a task agent-ready after PR mergeimport subprocesssubprocess.run([    "quarterback", "update", "55",    "--status", "completed",    "--notes", f"PR #{pr_number} merged. Deployed to staging."])

Use cases:

Pipeline eventQuarterback actionWhat happens
PR mergedupdate_task status=completedTask marked done, webhook fires to Slack
Deploy succeedsupdate_task with SHA + environment notesDeliverable tracked with audit trail
Nightly cronget_priorities + alert-checkTeam gets daily summary of what's overdue
Test suite failsadd_task with failure detailsBug auto-filed, linked to project
Sprint startsget_priorities + detect_conflictsSurface scheduling conflicts before work begins
Agent completes workupdate_agent_status status=completedWebhook notifies orchestrator, next task dispatched
Release taggedadvisory-add with release notesChangelog analyzed against project goals
Shared database across environments

Point multiple environments at the same Quarterback instance:

bash
# All CI runners share one database via mounted volume or network pathexport QUARTERBACK_HOME=/shared/quarterback
# Or per-environment with migrationquarterback migrate /path/to/source

This lets your local CLI, CI pipelines, and MCP-connected agents all read and write to the same task graph — giving you a single source of truth across manual and automated workflows.

Time-Aware Planning

bash
quarterback plan-day

Considers your working hours, lunch break, buffer time for meetings, and current time to suggest tasks that actually fit in your remaining day.

Configuration

Organizational Context

After quarterback init, run quarterback setup for an interactive wizard, or ask Claude to run the setup wizard via MCP. You can also manually configure your context in ~/.quarterback/org-context/:

~/.quarterback/org-context/├── goals.md          # Your strategic, workflow, and project goals├── projects.yaml     # Active projects with metadata├── workflows.yaml    # Groups of related projects└── constraints.md    # Time, budget, and strategic boundaries

Example templates are included — copy from .example files and customize.

If you enable Playbook during setup, goals.md and constraints.md are auto-maintained from the wiki's compiled/ directory. You can still manually edit the org-context files — Playbook is additive, not required.

Alert Configuration

Configure notifications in ~/.quarterback/config/alerts.yaml:

  • Quiet hours (no notifications at night)
  • Priority thresholds (only notify for P4+ tasks)
  • Time-sensitive projects (always notify for Bills, Tax, etc.)
  • Working hours and lunch break settings

CLI Commands

CommandDescription
quarterback initInitialize Quarterback
quarterback setupInteractive setup wizard
quarterback migrate <dir>Migrate from task-manager
quarterback priorities [today|week|all]Prioritized task list
quarterback add "task" [options]Add a task
quarterback update <id> [options]Update a task
quarterback list [-s status]List tasks
quarterback quick-winsFind quick wins
quarterback conflictsDetect priority conflicts
quarterback projectsList projects
quarterback summaryOrganizational summary
quarterback plan-dayTime-aware daily plan
quarterback advisory-addAdd advisory document
quarterback advisory-listList advisory documents
quarterback advisory-view --id NView document details
quarterback advisory-analyze --id NAnalyze document
quarterback advisory-approve --id NApprove/reject recommendations
quarterback alert-checkCheck for alerts
quarterback alert-summarySend daily summary
quarterback playbook statusPlaybook initialization status
quarterback playbook indexShow Playbook master catalog
quarterback playbook listList wiki pages (with --category filter)
quarterback playbook read <path>Read a wiki page
quarterback playbook search <query>Full-text search across pages

MCP Tools (27 total)

When used as an MCP server, Quarterback exposes these tools to Claude:

Task Management: get_priorities, add_task, update_task, get_quick_wins, detect_conflicts, assess_task_value, get_blocking_tasks

Project Management: add_project, list_projects, update_project, get_organizational_summary

Advisory System: add_advisory_document, list_advisory_documents, get_advisory_document, analyze_advisory_document, discuss_advisory_recommendations, adopt_advisory_recommendations

Playbook: playbook_read, playbook_write, playbook_search, playbook_ingest

Webhooks: register_webhook, list_webhooks, update_webhook, delete_webhook

Agent Orchestration: mark_task_agent_ready, get_agent_ready_tasks, update_agent_status

Setup: setup_quarterback

Environment Variables

VariableDefaultDescription
QUARTERBACK_HOME~/.quarterbackData directory
PLAYBOOK_PATH~/.quarterback/playbookPlaybook wiki location (or set in config/playbook.yaml)
QUARTERBACK_API_URLNoneReserved for Pro features

Contributing

See CONTRIBUTING.md for development setup, code style, and PR process.

License

MIT - see LICENSE


Built by NodeBridge Automation Solutions | GitHub Sponsors

來源:README.md,提交 d82b32e

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版本歷史

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  1. v1.0.1最新Sep 16, 2026

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