Extract numbered deltas from a vision document into DELTAS.md inventory.
npx skills add https://github.com/asermax/claude-plugins --skill deltas
Please help me install this Agent Skill. Skill: deltas Source: https://github.com/asermax/claude-plugins/tree/main/katachi/skills/deltas Command: npx skills add https://github.com/asermax/claude-plugins --skill deltas
Extracting and organizing deltas from a project vision can be error-prone and time-consuming. This skill standardizes the process, ensuring traceability from vision to a numbered delta inventory.
Review the current vision document at docs/planning/VISION.md and extract all deltas into docs/planning/DELTAS.md.
High-intent search queries and answers about installing and using this skill.
To extract deltas from a project vision, review your vision document and map actionable sections into a structured, numbered delta inventory. This ensures traceability from vision to task scoping and cross-team validation.
A delta inventory is a structured document, like DELTAS.md, that logs project changes with traceable numbering such as DLT-001. It supports traceability by mapping vision sections to actionable deltas for cross-team validation.
You number and document project deltas by applying standardized identifiers like DLT-001 to each extracted change. This structured documentation integrates with a DELTAS.md file to support cross-team validation and iterative refinement.
Yes, you can apply an agent-driven review cycle for iterative refinement of a delta inventory. This process handles state tracking and validation, ensuring your extracted project deltas remain accurate throughout planning workflows.
Yes, delta discovery works without predefined dependencies or components. The process directly analyzes your vision document to generate a traceable delta inventory, requiring no additional environment setup or external tool integrations.
The best way to maintain traceability from project vision to actionable tasks is by standardizing delta extraction into a numbered inventory. Mapping vision sections to identifiers like DLT-001 ensures consistent tracking and cross-team validation.
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