AI coding assistants often lack statelessness, leading to repeated work and lost context between sessions. Storybloq addresses this by introducing a standardized `.story/` directory structure within projects to store tickets, issues, roadmap phases, session handovers, and lessons learned. This setup, combined with a CLI, an MCP server, and a dedicated Claude Code skill, ensures that every coding session builds upon the last, providing Claude with full project awareness, enabling compounding work, and preventing the need to re-establish context from scratch.
主要功能
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02Autonomous mode (`/story auto`) to drive tickets through their lifecycle from planning to review and commit.
03CLI (`storybloq`) for inspecting and mutating project state from the terminal.
04MCP server with 43 tools for direct, low-latency interaction with Claude Code.
05Claude Code skill (`/story`) to load project state and manage session continuity.
06Standardized `.story/` directory for persistent project context, tracked by Git.
使用案例
01Maintaining continuous context across multiple AI coding sessions to avoid redundant setup.
02Standardizing project management artifacts (tickets, issues, handovers) for AI-native development.
03Automating ticket workflows and code reviews with AI agents using structured project data.
