Best use case
Sprint Planner Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## Purpose
Teams using Sprint Planner Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/planning/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Sprint Planner Skill Compares
| Feature / Agent | Sprint Planner Skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
## Purpose
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Sprint Planner Skill ## Purpose Generate detailed sprint plans with focused context injection, ensuring clear scope boundaries and dependencies. ## Key Functions - Parse epic decomposition - Define sprint-specific deliverables - Create clear in_scope and out_of_scope boundaries - Generate agent configuration ## Input Requirements - Sprint ID - Epic JSON - Task type - Optional complexity overrides ## Output Specification Produces JSON with: - Sprint-level configuration - Context injection details - Agent recommendations - Iteration estimates ## Usage ```bash plan-sprint.sh \ --sprint-id "1" \ --epic-json "$EPIC_JSON" \ --task-type "software-development" ``` ## Sprint Planning Principles - Strict scope management - Explicit dependency tracking - Focused context injection - Agent specialization recommendations
Related Skills
Sprint Execution Skill
## Purpose
cfn-sprint-execution
Sprint planning, execution, and checkpointing for CFN Loop
Google Sheets Sprint Ordering
## Overview
supabase-schema-sync
Introspects Supabase DB after migrations and updates project db-query skill with current schema. Run after any migration to keep agent context accurate.
commit
Stage, commit, and push changes using a background github-commit-agent. Accepts optional args for message override or push control.
cfn-vote-implement
MUST BE USED after cfn-dry-review or cfn-alpha-launch:manifest produces a manifest. Also the verification phase of /cfn-loop-task. Do not manually implement code review suggestions - always route through this skill. 3-agent specialized voting. Unanimous (3/3) auto-implemented with TDD. 2/3 routed to product-owner agent. 1/3 surfaced to user via AskUserQuestion (batched 4 per call, at end).
cfn-utilities
Reusable bash utility functions for CFN Loop - logging, error handling, retry, file operations. Use when you need structured logging, atomic file operations, retry logic with exponential backoff, or standardized error handling in bash scripts.
CFN Test Runner Skill
**Version:** 1.0.0
cfn-test-framework
Test execution, running, and webapp testing for CFN
cfn-task-planning
Classify tasks, initialize structured configs with scope boundaries, decompose complex tasks
Specialist Injection Skill
## Purpose
!/bin/bash
# cfn-task-intelligence.sh