Iterative Development

Iterative Development is an AI Engineering skill for Claude Code, published by prime-radiant-inc in iterative-development.

179 stars17 forkson prime-radiant-inc/iterative-developmentAdded 2026/09/07+1% in starsRepository updated 2026/06/06

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ai-agentsautonomous-agentsclaude-codeclaude-code-pluginmethodology

Install in seconds

Install Iterative Development

Copy Iterative 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/prime-radiant-inc/iterative-development/tree/main/skills/iterative-development ~/.claude/skills/iterative-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/prime-radiant-inc/iterative-development.git

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

In this catalog

Source file: skills/iterative-development/SKILL.md in prime-radiant-inc/iterative-development
Installs to: ~/.claude/skills/iterative-development
Collection: One of 6 skills cataloged from this repository
Category: AI Engineering — 3475 skills

What Iterative Development does

Iterative Development turns a large or ambiguous spec into a walking skeleton, then runs audited sprints that build behavior evidence for each externally visible requirement. Use it when you need a working, testable product at every iteration boundary.

Iterative Development is cataloged under AI Engineering on DirSkills. Iterative Development comes from a repository tagged ai-agents, autonomous-agents, claude-code, claude-code-plugin and methodology.

Documentation

README

Excerpt

Iterative Development

Overview

Orchestrator for the iterative-development plugin. Drives the full autonomous lifecycle: extract requirements with proof obligations and behavior scenarios from human spec collateral, define a walking skeleton that passes its first journey scenario, then loop through audited sprints that continuously build a reusable behavior evidence corpus. Completion means the product has passing behavior evidence at the correct seam for every externally observable requirement — not just that stories are marked done. Every evaluative gate uses parallel adversarial review (PAR).

This is an alternative to superpowers:writing-plans → superpowers:subagent-driven-development for projects where the upfront-planning approach would lose the plot.

When to Use

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Iterative Development

What else does prime-radiant-inc publish alongside Iterative Development?
Iterative Development is one of 6 skills that DirSkills catalogs from prime-radiant-inc/iterative-development, the repository it ships in. Its siblings there include Auditing Progress, Extracting Requirements and Implementing Tasks. Each one is a separate skill with its own page in this directory, installs the same way Iterative Development does, and is maintained by prime-radiant-inc in that same repository. The rest of the collection is listed on the prime-radiant-inc/iterative-development page.
How does Iterative Development compare to other AI Engineering skills?
Iterative Development ranks #3114 by stars among the 3475 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. 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 Iterative Development against them. Open each page to compare what they document and how they install.