Chorus AI-DLC
Official@chorus-aidlc
Offers structured project management, task lifecycle coordination, and release governance for distributed software development environments.
Agent Skills by Chorus AI-DLC
Showing 54 vetted skills indexed across 1 GitHub repositories.
chorus-code-reviewer
Reviews an Idea's aggregate code change and posts a structured verdict comment via Chorus MCP.
chorus-task-reviewer
Verifies Chorus task implementations against acceptance criteria and posts a structured VERDICT comment.
develop
Claims Chorus tasks, reports work progress, and orchestrates sub-agent workers for parallel execution.
chorus-proposal-reviewer
Reviews Chorus proposals against originating ideas and posts structured VERDICT comments via MCP.
brainstorm
Guides divergent-then-convergent dialogue to synthesize one ElaborationRound of decision-point Q&A for fuzzy ideas.
docs
Answers Chorus product-usage questions by fetching the live documentation site index and pages.
chorus-cli
Installs and configures the chorus CLI to manage agents and call Chorus MCP tools from the shell.
proposal
Creates Chorus proposals with document drafts and dependency-DAG task drafts for admin review.
idea
Claims ideas and runs structured elaboration rounds to clarify requirements before proposal creation.
openspec-aware
Scaffolds OpenSpec change folders and mirrors Markdown documents into Chorus proposal drafts.
review
Approve proposals, verify tasks, and manage project governance in the Chorus AI-DLC workflow.
quick-dev
Creates and executes standalone tasks with acceptance criteria, self-checks, and permission-aware verification.
chorus
Coordinates multi-agent AI-DLC workflows through Chorus MCP tools and stage-specific skills.
yolo
Automates the full AI-DLC pipeline from prompt to verified delivery in Chorus.
orchestrate
Coordinates multiple agents and humans across the AI-DLC lifecycle by delegating ideas and tasks.
openspec-apply-change
Implement tasks from an OpenSpec change using the openspec CLI.
openspec-explore
Explores ideas, investigates codebases, and clarifies requirements through conversational analysis with ASCII diagrams.
openspec-archive-change
Archives completed OpenSpec changes with artifact, task, and spec sync verification.
openspec-propose
Generates a complete OpenSpec change proposal with design, specs, and task artifacts.
orchestrate-chorus
Coordinate multiple agents and humans across the AI-DLC lifecycle by delegating ideas and tasks.
code-reviewer-chorus
Reviews aggregate code changes across all tasks of a Chorus Idea and posts a structured verdict comment.
brainstorm-chorus
Guides divergent-then-convergent dialogue to synthesize one ElaborationRound of decision-point Q&A for fuzzy ideas.
task-reviewer-chorus
Verifies Chorus task implementations against acceptance criteria and posts a structured VERDICT comment.
proposal-reviewer-chorus
Audits Chorus proposal drafts against the originating Idea and posts a structured VERDICT comment.
Frequently Asked Questions About Chorus AI-DLC
FAQPage SchemaWhat specific project management tasks does Chorus AI-DLC enable?▼
Chorus AI-DLC enables end-to-end project management including idea conceptualization, proposal drafting with dependency DAGs, task lifecycle tracking, and final verification against acceptance criteria. It facilitates structured communication between product managers, developers, and administrators to ensure project milestones are met from initial claim to final delivery.
Which personas benefit most from using these project coordination capabilities?▼
Product managers, software engineers, and project administrators benefit from these capabilities. The system is designed for teams requiring rigorous task attribution, proposal management, and synchronized release governance, particularly those managing complex software dependencies or requiring bilingual documentation for global project distribution.
What are the prerequisites for implementing Chorus AI-DLC in a project?▼
Implementation requires an existing Git-based repository environment and familiarity with structured proposal containers. Users must define task dependency DAGs and establish clear acceptance criteria for verification. The system relies on integrated versioning and pull request management to maintain synchronization across development and administrative project phases.