Where are the generated stories stored?

Stories are saved by default in the 'stories/' directory as Markdown files with YAML frontmatter, allowing for easy version control and project tracking.

What is the Tiered Context system?

It is an optimization that uses minimal context (Tier 1) for high-level planning, saving over 90% in token usage by focusing only on requirements rather than the entire codebase.

How does the Planner skill estimate effort?

It uses standard agile estimation techniques, including Fibonacci story points (1, 2, 3, 5, 8, 13) for relative complexity and hourly time estimates for specific tasks.

Does this skill execute code?

No, the Planner skill is focused exclusively on documentation, planning, and estimation to ensure your project roadmap is sound before implementation begins.

Agile Planner

Name: Agile Planner
Author: wtthornton

bywtthornton

Herramientas de Colaboración

Generates comprehensive user stories, decomposes epics into actionable tasks, and provides accurate effort estimations for software development projects.

Acerca de

The Planner skill transforms high-level requirements into structured agile artifacts, acting as a virtual senior product manager and agile coach within Claude Code. It automates the creation of user stories with clear acceptance criteria, prioritizes backlogs, and breaks down complex features into manageable tasks using Fibonacci story points or hourly estimates. By integrating with the Context7 KB cache and domain-specific experts, it ensures that every plan is contextually relevant, follows industry best practices, and minimizes token usage through a tiered context system.

Características Principales

Context7 KB integration for standardized story templates and patterns
0 GitHub stars
Epic decomposition and dependency mapping for complex features
Automated User Story Generation with clear acceptance criteria
Task-level effort estimation using Fibonacci or time-based metrics
Domain-specific expert consultation for business-aware planning

Casos de Uso

Converting a broad feature request into a detailed, prioritized product backlog
Breaking down a complex system architecture into individual development tasks
Estimating project timelines and complexity during the initial discovery phase

Acerca de

Características Principales

Context7 KB integration for standardized story templates and patterns
0 GitHub stars
Epic decomposition and dependency mapping for complex features
Automated User Story Generation with clear acceptance criteria
Task-level effort estimation using Fibonacci or time-based metrics
Domain-specific expert consultation for business-aware planning

Casos de Uso

Converting a broad feature request into a detailed, prioritized product backlog
Breaking down a complex system architecture into individual development tasks
Estimating project timelines and complexity during the initial discovery phase