Manage project epic lifecycles in markdown with a SQLite cache.
npx skills add https://github.com/carson-sweet/sweetclaude --skill epics
Please help me install this Agent Skill. Skill: epics Source: https://github.com/carson-sweet/sweetclaude/tree/main/skills/epics Command: npx skills add https://github.com/carson-sweet/sweetclaude --skill epics
This skill solves the challenge of maintaining project structure and traceability by providing a structured, cache-backed system for managing epics, objectives, and completion criteria directly within your project repository.
Use the epics skill to add a new epic titled Workflow Engine with a clear objective and completion criteria.
High-intent search queries and answers about installing and using this skill.
Manage project epics using a local directory structure of markdown files supported by a SQLite cache. This setup maintains traceability by bidirectionally linking work items to epics while keeping your roadmap data directly inside your repository.
Track epic lifecycle status and link work items by running the project-specific cache script. This script synchronizes data into a SQLite cache, enabling efficient roadmap visualization and high-performance querying of your objectives.
Yes, Python 3 is required to run the project-specific cache script. This script maintains data integrity and state synchronization between your markdown files and the SQLite cache used for querying.
Define capability-based epics with clear completion criteria directly in markdown files. This approach ensures every piece of work contributes to a defined objective while providing a structured source-of-truth for your project.
Yes, the skill uses a SQLite cache to query project objectives stored as markdown files. You execute the cache script to maintain data integrity and state synchronization for efficient roadmap visualization.
The cache script is required to maintain data integrity and state synchronization between markdown files and the SQLite cache. It ensures bidirectional linking of work items to epics remains accurate for high-performance querying.
pingmepiScaffolds a PM-OS project directory from a business statement with Python 3.
mbdeatonImplement caching mechanisms in the Epic Stack with cachified, SQLite, and LRU caches.
OzeroHAXDecompose epics into implementation-ready tasks with acceptance criteria and critical-path sequencing.
cfardevModify use case markdown files and synchronize roadmap status.
