Create kanban boards with tasks decomposed from codebase analysis.
npx skills add https://github.com/swissarmyhammer/swissarmyhammer --skill plan-swissarmyhammer
Please help me install this Agent Skill. Skill: plan Source: https://github.com/swissarmyhammer/swissarmyhammer/tree/main/builtin/skills/plan Command: npx skills add https://github.com/swissarmyhammer/swissarmyhammer --skill plan-swissarmyhammer
This Skill provides a structured, disciplined approach to AI-driven software development, transforming AI agents from "smart interns" into "senior engineers who follow the process." It ensures that AI-driven engineering tasks are well-defined, tracked, and executed efficiently.
code_context to deeply understand project structure, dependencies, and blast radius.Use the plan skill to create a kanban board for the feature described in 'my-feature-spec.md'.
High-intent search queries and answers about installing and using this skill.
Task decomposition for software development involves breaking complex features into granular, actionable kanban cards and subtasks. This process maps the blast radius and dependencies within a codebase to ensure work is well-defined and tracked efficiently.
You can generate a kanban board from a feature specification by providing the spec file to the planning tool. It analyzes the codebase, identifies necessary changes, and creates cards with subtasks, acceptance criteria, and required tests for iterative refinement.
Yes, AI can analyze your codebase dependencies before creating tasks. By integrating code context analysis, the tool maps project structure and blast radius, ensuring generated kanban cards accurately reflect necessary changes and dependencies for features like OAuth2 support.
The best way to break down complex features into actionable subtasks is through AI-driven task decomposition. This approach transforms high-level requests into structured kanban cards, mapping dependencies and defining specific acceptance criteria and tests for each subtask.
Yes, AI-driven planning supports iterative refinement through conversational feedback. After generating the initial kanban board and task decomposition, you can interactively adjust and refine the granular cards, acceptance criteria, and tests to align with project requirements.
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