🧪
QualityJavaScript

Story Development

by a5c-ai

Story Development is a Quality skill for Claude Code, published by a5c-ai in babysitter.

1.7K stars98 forkson a5c-ai/babysitterAdded 2026/07/20+1% in starsRepository updated 2026/08/11
agent-orchestrationagent-skillsagentic-aiagentic-workflowai-agentsai-automationbabysitterclaude-codeclaude-code-skillsclaude-code-workflowsclaude-skillsclaude-workflowscodex-plugincodex-skillscodex-workflowhermes-pluginpi-extensiontrustworthy-aivibe-coding
Install in seconds
Install Story Development
Copy Story Development into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/bmad-method/skills/story-development ~/.claude/skills/story-development

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/a5c-ai/babysitter.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
library/methodologies/bmad-method/skills/story-development/SKILL.md in a5c-ai/babysitter
Installs to
~/.claude/skills/story-development
Collection
One of 36 skills cataloged from this repository
Category
Quality1897 skills

What Story Development does

Story Development implements user stories using test-driven development. It reads acceptance criteria, writes failing tests, implements the minimum code, and verifies the result with the full test suite.

Story Development is cataloged under Quality on DirSkills. Story Development comes from a repository tagged agent-orchestration, agent-skills, agentic-ai, agentic-workflow and ai-agents.

Documentation

README

Story Development

Implement user stories with test-driven development methodology.

Agent

Amelia (Developer) - bmad-dev-amelia

Workflow

  1. Read entire story and acceptance criteria
  2. Write failing tests for each criterion
  3. Implement minimum code to pass tests
  4. Refactor while keeping tests green
  5. Run full test suite
  6. Document implementation decisions

Inputs

  • projectName - Project name
  • story - Story with acceptance criteria and tasks
  • architecture - Architecture decisions (optional)

Outputs

  • Implementation with passing tests
  • Files changed list
  • Acceptance criteria verification
  • Implementation notes

Process Files

  • bmad-orchestrator.js - Phase 4 story development
  • bmad-implementation.js - Sprint story development

Frequently asked about Story Development

  • What else does a5c-ai publish alongside Story Development?

    Story Development is one of 36 skills that DirSkills catalogs from a5c-ai/babysitter, the repository it ships in. Its siblings there include Agent Dispatch, Architecture Design and Architecture Patterns. Each one is a separate skill with its own page in this directory, installs the same way Story Development does, and is maintained by a5c-ai in that same repository. The rest of the collection is listed on the a5c-ai/babysitter page.

  • How does Story Development compare to other Quality skills?

    Story Development ranks #622 by stars among the 1897 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Story Development against them. Open each page to compare what they document and how they install.

More from a5c-ai/babysitter

Story Development is one of 36 skills cataloged on DirSkills from a5c-ai/babysitter.

See all 36 skills
🧩
2026/07/20

Agent Dispatch

Agent Dispatch builds dependency-aware batched queues for parallel agent execution. Use it to order feature work by DAG, respect concurrency limits, and assign agent types safely.
AI Engineering
1.7K98
🏗️
2026/07/20

Architecture Design

Architecture Design defines a system’s components, technology stack, data model, APIs, and deployment considerations. Use it when turning product requirements into an implementation-ready architecture and ADRs.
DevOps
1.7K98
🏗️
2026/07/20

Architecture Patterns

Provides system and API design guidance covering component boundaries, data flow, integration patterns, and scalability. Useful when making architectural decisions in agentic AI workflows.
AI Engineering
1.7K96
🔍
2026/07/20

Assimilate Popular Workflows

Searches public repositories for SKILL.md files, classifies projects by archetype, and extracts transferable processes, plugin ideas, and procedural insights for the babysitter process library. Use when exploring external workflows, discovering new skills, or surveying the skill landscape.
AI Engineering
1.7K95
🗺️
2026/08/12

Atlas

Atlas turns a stated need into a real systems atlas by scanning Azure, git repos, and local directories, then enriching the findings with an Atlas knowledge graph. Use it to inventory systems, mine processes or data, and collect real constraints or gotchas.
AI Engineering
1.7K98
🕸️
2026/08/12

Atlas Graph Query

Atlas Graph Query provides reference commands for searching and inspecting the Atlas knowledge graph through MCP tools. Use it after scanning real sources when you need comparison context, node lookups, neighbors, kinds, clusters, stats, or wiki pages.
AI Engineering
1.7K98