sprint-planner

sprint-planner is a skill for Claude Code, Codex from bodangren/git-workflow. It costs 52 tokens per session (1,068 once invoked), scanned A, original, MIT.

A sprint-planning workflow that breaks an approved specification into small GitHub issues, which are trackable work items for a development team. It groups those issues into a new sprint milestone.

In plain words
What is it for?
Use it at the start of a development cycle to review approved specifications, divide them into atomic implementation tasks, and create the corresponding GitHub issues.
Why use it?
It turns high-level requirements into concrete tasks that a team can assign, track, and implement.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/bodangren/git-workflow/sprint-planner
Any agent
npx skills add bodangren/git-workflow --skill sprint-planner
Clone the repo
git clone --depth 1 https://github.com/bodangren/git-workflow

Made for: Claude Code, Codex.

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,068 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00052 $0.01068
Opus 5 $0.00026 $0.00534
Sonnet 5 $0.00010 $0.00214
Haiku 4.5 $0.00005 $0.00107

Measured 3d ago against content hash 8301d19c125d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sprint-planner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/create-sprint-issues.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/sprint-planner/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sprint Planner Skill

Purpose

To plan and initialize a new sprint by intelligently decomposing approved specifications into a comprehensive set of atomic GitHub issues. This skill bridges the gap between high-level specs and executable work items by using the Gemini CLI to analyze the spec's content and generate a thoughtful task breakdown. It then automates the creation of these tasks as GitHub issues within a new sprint milestone.

When to Use

Use this skill in the following situations:

  • Starting a new sprint or development cycle.
  • Converting an approved spec into actionable GitHub issues.
  • When you want an AI-assisted breakdown of an epic into atomic implementation tasks.

Prerequisites

  • Project board configured with an "Approved Backlog" status column.
  • Approved spec files exist in the docs/specs/ directory.
  • An Epic issue exists on GitHub that links to the spec file in its body.
  • gh CLI tool installed and authenticated.
  • jq tool installed for JSON parsing.
  • gemini CLI tool installed and authenticated.

Workflow

Step 1: Review Project Board

Check the project board for approved specs (represented as Epics) ready to be planned.

Step 2: Discuss Sprint Scope with User

Engage the user to determine which epic(s) from the "Approved Backlog" to include in the sprint.

Step 3: Define Sprint Metadata

Work with the user to establish the sprint name (e.g., "Sprint 4").

Step 4: Run the Helper Script

Execute the sprint planning script to automate GitHub issue creation:

bash scripts/create-sprint-issues.sh

Step 5: Understand What the Script Does

The helper script automates these steps:

  1. Queries Project Board: Fetches all items from the "Approved Backlog" and prompts you to select an Epic to plan.
  2. Extracts Spec File: Parses the selected Epic's body to find the associated spec file path.
  3. Creates Milestone: Prompts you for a sprint name and creates the corresponding GitHub milestone.
  4. Decomposes Spec with AI: Instead of relying on a rigid format, the script sends the full content of the spec file and the parent Epic to the Gemini CLI. It asks the AI to generate a list of atomic, actionable tasks based on its understanding of the document.
  5. Creates GitHub Issues: The script parses the structured task list from Gemini's response and creates a GitHub issue for each task. Each issue is automatically titled, assigned to the new milestone, and includes a description and references to the parent Epic and spec file.

Read the full file on GitHub · 104 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 104 lines · 52 tokens per session scan A 8301d19c125d

Subscribe to this mod's changes

sprint-planner is a skill published in the GitHub repository bodangren/git-workflow (11 stars, last pushed 9mo ago), licensed MIT. It adds 52 tokens to every session and 1,068 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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