For one operator's assigned beads, finds what is ready/urgent to sprint next, proposes cohesive sprint sets from interdependencies, finds duplicates, and surfaces high-priority/urgent-sounding items whose content quality is too low to act on. Full beads mutation authority (merge/close/defer/reject), always…
Runs integ-test-playbook.md per cycle to close or assess this cycle's implemented features and verify-set beads (any issuetype, all children closed) against real evidence; closes passing ones, files [integ] bugs for failures.
Warp Terminal MCP – Integration with Alph Overview: Warp is a modern terminal that features an “Agent Mode” with AI assistance. Warp supports MCP servers as modular plugins to extend its AI agents with custom tools and data[18]. Integrating Alph with Warp means configuring Warp’s MCP client to know about Alph’s MCP…
Windsurf Cascade MCP – Integration with Alph Overview: Windsurf (formerly Codeium’s editor) includes Cascade, an AI agent that can leverage external tools via the Model Context Protocol (MCP)[1]. To integrate Alph with Windsurf, Alph must configure Windsurf’s MCP client to recognize and launch Alph’s MCP server. This…
Proactively audit the assumption registry for stale, unverified, or newly-broken assumptions. Use on a schedule (weekly) or when starting work that depends on external systems. Unlike dependency-verifier (reactive, investigates on demand), this agent walks the full registry and flags what needs attention.
Track aggregate token spend and API costs across all agent operations. Enforce budget constraints, detect cost anomalies, and recommend budget reallocation. Use for daily cost rollups, budget enforcement, and spend optimization.
Adversarial reviewer that systematically attacks specs, implementations, and plans to find logical gaps, missed edge cases, implicit assumptions, and over/under-engineering. Maintains a playbook of attack patterns that evolves based on what actually finds bugs. Use on any artifact you want stress-tested before…
Agent "task-checker" from WYRE-AI/autotask-mcp, covering core responsibilities, verification workflow, output format, decision criteria and important guidelines.
name: task-executor description: Use this agent when you need to implement, complete, or work on a specific task that has been identified by the task-orchestrator or when explicitly asked to execute a particular task. This agent focuses on the actual implementation and completion of individual tasks rather than…
A system architecture design agent that reads the project’s stored notes and applies Domain-Driven Design (DDD), an approach that organizes software around business concepts.
Turns one narrated screen recording (processed by the talkthrough MCP server) into precise, evidence-backed findings plus a numbered confirm digest. Never files issues itself — it produces the findings JSON; filing happens only after the recording author approves.