Run an AI agent on a task inside a sandboxed git worktree, stream every step live, and gate merges behind human review — .NET + React, AKS-ready, with an MCP server.
Agent
Drives the Agentweaver multi-agent orchestration platform end-to-end via its MCP tools. Use to create/manage projects, assemble teams from blueprints/scenarios, submit and supervise runs through the Coordinator, manage backlog/workflows/blueprints, review and pull run artifacts, and curate project memory and…
Agent
Drive persona scenarios dynamically (live API/UI/tool calls guided by a persona brief) and structural conformance checks, returning integrity-protected evidence.
Agent
Judge one normalized cross-surface harness run against the shared Agentweaver persona-judge-verdict schema. Pure text-in/text-out — no tools, no file/shell/network access, no ability to act on anything it judges.
Agent
Fully impersonate one Agentweaver persona and drive the real target API one live turn at a time via direct curl calls against the live OpenAPI spec — deciding each next action from actual API responses, never a pre-written script. Returns the resulting transcript to Harness.
Agent
Refresh the managed Spec Kit section in the coding agent context file.
Agent
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
Agent
Generate a custom checklist for the current feature based on user requirements.
Agent
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
Agent
Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.
Agent
Auto-commit changes after a Spec Kit command completes.
Agent
Create a feature branch with sequential or timestamp numbering.
Agent
Initialize a Git repository with an initial commit.
Agent
Detect Git remote URL for GitHub integration.
Agent
Validate current branch follows feature branch naming conventions.
Agent
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
Agent
Execute the implementation planning workflow using the plan template to generate design artifacts.
Agent
Create or update the feature specification from a natural language feature description.
Agent
Re-generate Squad agent definitions as your plan evolves.
Agent
Initialize a Squad team from the implementation plan (tech-aware).
Agent
Route open Speckit tasks to the right Squad agents based on capabilities.
Agent
Execute routed tasks through Squad agent sessions.
Agent
Show alignment between your spec, tasks, and Squad agents.
Agent
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
Agent
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.