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Context-driven development plugin: first captures product vision, tech stack and workflow docs, then generates a spec and phased plan for each feature, executes with TDD and supports per-task rollback. Ported from Google's Conductor for Gemini CLI.

Graph-based task tracker CLI (bd) for coding agents: replaces Markdown plans with a dependency-aware task graph that gives long tasks persistent memory. Stored in Dolt and syncable across machines; bd init hooks it into Claude Code and Codex automatically.

Graph-based task tracking and memory for coding agents: a dependency graph replaces Markdown plans, agents claim ready work with bd ready and keep context across sessions. The plugin injects workflow instructions through hooks. Requires the bd CLI.

Parses a PRD into a dependency-aware task list so Claude Code, Cursor and other agents pick up the next task in order, split subtasks and update progress. Offers both a CLI and an MCP server. Needs at least one model API key, or reuse a Claude Code or Codex login.

Parses a PRD into a dependency-aware task list so Cursor, Claude Code and other coding agents break it down, implement it and track progress; also works as a CLI. Needs at least one model API key, or reuse a Claude Code or Codex CLI login.

Parses a PRD into a dependency-aware task list with complexity analysis, task breakdown and research; the plugin bundles slash commands, subagents and the MCP server. Needs a model API key, or reuse a Claude Code or Codex CLI login.

Keeps the plan, research findings and progress in three files (task_plan.md, findings.md, progress.md) and injects them every turn via hooks, so work resumes after /clear, context compaction or an interrupted session. A Chinese-language variant is also available.

Turns a Notion PRD or feature spec into an implementation plan page and tasks, flagging open questions and linking spec, plan and tasks while tracking progress. From OpenAI's official plugin repo (developer: Notion); needs the Notion MCP connected.