Shard feature specifications into executable stories and generate prompt packs.
npx skills add https://github.com/liminal-ai/liminal-spec --skill ls-story
Please help me install this Agent Skill. Skill: ls-story Source: https://github.com/liminal-ai/liminal-spec/tree/main/plugins/liminal-spec/skills/ls-story Command: npx skills add https://github.com/liminal-ai/liminal-spec --skill ls-story
This Skill automates the complex process of breaking down a technical design into granular, executable stories and generating self-contained prompt packs for AI agents to implement.
Use the ls-story skill to break down the tech design document into executable stories and prompt packs.
High-intent search queries and answers about installing and using this skill.
Story sharding divides a feature specification into discrete, manageable stories and generates self-contained prompt packs for AI-driven implementation. This ensures your technical design is validated as a downstream consumer. It produces story breakdowns and coordinates execution for Senior Engineer agents.
A prompt pack is a self-contained prompt generated for each story, including code snippets, file structures, and verification steps. It provides AI agents with everything needed to implement a specific story chunk independently. This ensures consistency and adherence to the approved technical design.
An integration path trace ensures end-to-end user paths are fully covered by the story breakdown, preventing integration gaps. This mechanism validates the technical design as a downstream consumer before implementation begins. It guarantees the generated stories collectively address the entire feature scope.
No, infrastructure setup is handled automatically by generating a "Story 0" for essential project infrastructure such as types, fixtures, and errors. This story is created before other implementation stories. It ensures the foundational elements are ready for subsequent AI-driven code generation.
Yes, story sharding validates technical designs as a downstream consumer during the breakdown process. It checks the design by sharding it into executable stories and generating prompt packs. This validation happens before any implementation coordination for Senior Engineer agents begins.
Automating feature specification breakdown involves orchestrating the sharding of technical designs into discrete stories and generating self-contained prompt packs for AI agents. This approach manages execution coordination for Senior Engineer agents. It ensures all story definitions and prompts are consistent with the approved design.
atholaGenerate phased, dependency-ordered implementation tasks from specifications and plans.
ldk-hubConnect users with Amelia to execute approved stories in a test-first workflow.
starwardsDraft detailed implementation plans with file paths, code snippets, and verification steps.
barkleesandersGenerate dependency-ordered user stories and enforce quality gates during autonomous feature builds.
