gemini-cli-extensions/conductor

A plugin for AI coding agents (Antigravity, Claude Code) enabling Spec-Driven Development to specify, plan, and implement software features.

View on GitHub ↗Jump to charts ↓Open shareable report

Summary Information

Updated 1 hour ago
Added to GitGenius on September 18th, 2026
Created on December 17th, 2025
Open Issues & Pull Requests: 79 (+0)
GitHub issues: Enabled
Number of forks: 295
Total Stargazers: 3,745 (+1)
Total Subscribers: 42 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 13.1 hours
Mean response time: 5.7 days
90th percentile: 18.2 days
Tracked items: 58

Most active contributors

Sign in to see contributor activity.

How this project is maintained

Roughly one issue in three opened in the past year never receives a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 94% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 31% of issues opened in the past year have been closed. Three people close 76% of everything that gets resolved.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 64
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 219 days
Stale 30+ days: 62
Stale 90+ days: 60

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • feature (19)
  • p2 (12)
  • bug (11)
  • area:setup (10)
  • p1 (8)
  • area:newTrack (7)
  • maintainer only (7)
  • area:implement (6)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Conductor is a plugin for AI coding agents that enables Spec-Driven Development to guide feature specification, planning, and implementation.

The tool addresses the problem of AI agents writing code without sufficient context or planning by enforcing a structured workflow: Context -> Spec & Plan -> Implement. It treats context as a managed artifact alongside code, transforming the repository into a single source of truth that persists across agent interactions. This approach ensures that agents maintain deep project awareness and follow consistent protocols for every task, whether implementing new features or fixing bugs.

Conductor suits teams using modern AI coding agents like Antigravity or Claude Code who want to maintain control over code quality and consistency. It works for both greenfield projects and existing codebases through intelligent initialization. The tool is particularly valuable for teams that need to enforce style guides, tech stack choices, and product goals across multiple agent interactions. It allows project-level context to be set once and shared as a foundation for the entire team, reducing the need to re-specify requirements for each task.

The project shows active development with regular updates to its core functionality. The maintainers have invested in comprehensive installation documentation covering multiple deployment scenarios, including end-user installation, developer installation with live-sync linking for local modifications, and workspace-level isolation for project-specific use. The tool includes a git-aware revert command that understands logical units of work rather than just commit hashes, indicating attention to practical developer workflows. Documentation emphasizes both the philosophy behind the approach and detailed uninstallation procedures, suggesting a mature perspective on user choice and reversibility.