Executes batches of TDD-sized tasks in running-an-iteration calls via implementer subagents using red-green-refactor, PAR spec-compliance reviews, code-quality checks, and fix loops.
npx claudepluginhub prime-radiant-inc/prime-radiant-marketplace --plugin iterative-developmentThis skill uses the workspace's default tool permissions.
Takes an in-memory batch of TDD-sized tasks and executes each through: implementer subagent (TDD) → PAR spec-compliance review → fix loop → PAR code-quality review with boxing-in check → fix loop → mark complete. This is a fork of `superpowers:subagent-driven-development` with the plan-file reading phase stripped and the final end-of-plan reviewer removed.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Checks Next.js compilation errors using a running Turbopack dev server after code edits. Fixes actionable issues before reporting complete. Replaces `next build`.
Takes an in-memory batch of TDD-sized tasks and executes each through: implementer subagent (TDD) → PAR spec-compliance review → fix loop → PAR code-quality review with boxing-in check → fix loop → mark complete. This is a fork of superpowers:subagent-driven-development with the plan-file reading phase stripped and the final end-of-plan reviewer removed.
Invoked by running-an-iteration with a list of tasks. Tasks are passed in memory, not via a file.
For each task in the provided list:
Using the template in implementer-subagent-prompt.md, dispatch a single implementer subagent with:
The implementer MUST complete a pre-flight mapping (AC → proof seam → scenario) before writing code. If the implementer skips the pre-flight, re-dispatch with explicit instructions to complete it first.
Following skills/shared/parallel-adversarial-review.md:
spec-compliance-reviewer-prompt.md
skills/shared/par-reviewer-wrapper.mdFollowing skills/shared/parallel-adversarial-review.md:
code-quality-reviewer-prompt.md
Record the task as done. Move to the next task.
After all tasks complete, return a per-task result list to the caller, including:
Use the least powerful model that can handle each role:
| Role | Signal → Model |
|---|---|
| Implementer (mechanical: 1-2 files, clear spec) | Cheap/fast model |
| Implementer (integration: multi-file, judgment) | Standard model |
| Spec-compliance reviewer | Standard model |
| Code-quality reviewer | Most capable model |
| Per task | Subagents dispatched |
|---|---|
| Implementer | 1 (sequential, TDD) |
| Spec-compliance review (PAR) | 2 in parallel |
| Code-quality review (PAR) | 2 in parallel |
| Minimum per task | 5 (before re-review loops) |
implementer-subagent-prompt.md — implementer dispatch templatespec-compliance-reviewer-prompt.md — Stage 1 review templatecode-quality-reviewer-prompt.md — Stage 2 review template (includes boxing-in)skills/shared/parallel-adversarial-review.md — PAR methodologyskills/shared/par-reviewer-wrapper.md — competitive framing wrapper