auditing-progress
Use when an iteration has just finished and you need to verify behavior evidence quality in three tiers — deep evidence for…
Use when executing a batch of TDD-sized tasks inside a running-an-iteration call — dispatches an implementer subagent per task following red-green-refactor discipline and returns per-task completion status.
Claude Code
$ npx -y skills add prime-radiant-inc/iterative-development --skill implementing-tasks --agent claude-code
Codex
$ npx skills add prime-radiant-inc/iterative-development --skill implementing-tasks -a codex -y
Cursor
$ npx skills add prime-radiant-inc/iterative-development --skill implementing-tasks -a cursor -y
Gemini CLI
$ npx skills add prime-radiant-inc/iterative-development --skill implementing-tasks -a gemini-cli -y
GitHub Copilot
$ npx skills add prime-radiant-inc/iterative-development --skill implementing-tasks -a github-copilot -y
OpenCode
$ npx skills add prime-radiant-inc/iterative-development --skill implementing-tasks -a opencode -y
Windsurf
$ npx skills add prime-radiant-inc/iterative-development --skill implementing-tasks -a windsurf -y
name: implementing-tasks description: Use when executing a batch of TDD-sized tasks inside a running-an-iteration call — dispatches an implementer subagent per task following red-green-refactor discipline and returns per-task completion status.
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`:
1. Build spec-compliance prompt using `spec-compliance-reviewer-prompt.md`
2. Wrap in PAR competitive framing from `skills/shared/par-reviewer-wrapper.md` 3. Dispatch TWO spec-compliance reviewers in parallel 4. Aggregate findings (PAR rules: union of findings, severity = take worst) 5. If ❌ issues found:
6. Only proceed to Stage 2 after Stage 1 is ✅
Following `skills/shared/parallel-adversarial-review.md`:
1. Build code-quality prompt using `code-quality-reviewer-prompt.md`
2. Wrap in PAR competitive framing 3. Dispatch TWO code-quality reviewers in parallel 4. Aggregate findings 5. If ❌ changes needed:
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) |
A Claude Code plugin that drives an autonomous, audited implementation loop for projects with large, comprehensive, or ambiguous specs. Pairs with superpowers.
Use when an iteration has just finished and you need to verify behavior evidence quality in three tiers — deep evidence for…
Use when starting an iterative-development run on human spec collateral — reads the spec, produces per-epic requirement files…
Use when implementing a project with a large, comprehensive, or ambiguous spec — extracts requirements with proof obligations,…
Use when executing the next pending iteration from an iterative-development roadmap — picks the iteration, decomposes into code…
Use when turning extracted requirements into a roadmap — selects the walking skeleton iteration with its first journey scenario,…
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
Ask which skill or flow fits your situation. A router over the skills in this repo.