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/implementing-tasks

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.

From plugin
iterative-development
1796 skills
Install
$ npx -y skills add prime-radiant-inc/iterative-development --skill implementing-tasks --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/implementing-tasks

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

implementing-tasks.SKILL.md
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.

Implementing Tasks

Overview

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.

When to Use

Invoked by `running-an-iteration` with a list of tasks. Tasks are passed in memory, not via a file.

Per-Task Cycle

For each task in the provided list:

1. Dispatch implementer

Using the template in `implementer-subagent-prompt.md`, dispatch a single implementer subagent with:

  • The full task description and context
  • The proof obligations for each observable AC in the task's stories
  • The list of existing scenarios that may be impacted

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.

2. Handle implementer status

  • **DONE:** proceed to spec-compliance review (step 3). Verify the implementer's report includes pre-flight mapping and scenario updates.
  • **DONE_WITH_CONCERNS:** read the concerns. If about correctness/scope, address before review. If observations, note and proceed.
  • **NEEDS_CONTEXT:** provide the missing context and re-dispatch
  • **BLOCKED:** assess: context problem → re-dispatch with context; too hard → re-dispatch with more capable model; task too large → break into smaller pieces; plan wrong → escalate to caller

3. PAR spec-compliance review (Stage 1)

Following `skills/shared/parallel-adversarial-review.md`:

1. Build spec-compliance prompt using `spec-compliance-reviewer-prompt.md`

  • Include the proof obligations and the implementer's evidence claims

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:

  • Send aggregated issues back to the implementer subagent (same subagent, via continuation message)
  • Implementer fixes
  • Re-dispatch fresh PAR spec-compliance pair
  • Repeat until ✅ spec compliant with adequate evidence

6. Only proceed to Stage 2 after Stage 1 is ✅

4. PAR code-quality review (Stage 2)

Following `skills/shared/parallel-adversarial-review.md`:

1. Build code-quality prompt using `code-quality-reviewer-prompt.md`

  • Include the next 3 pending roadmap iterations for the boxing-in check
  • Include the implementer's corpus contribution for quality review

2. Wrap in PAR competitive framing 3. Dispatch TWO code-quality reviewers in parallel 4. Aggregate findings 5. If ❌ changes needed:

  • Send aggregated issues back to the implementer
  • Implementer fixes
  • Re-dispatch fresh PAR code-quality pair
  • Repeat until ✅ approved

5. Mark task complete

Record the task as done. Move to the next task.

After all tasks complete, return a per-task result list to the caller, including:

  • Per-task status
  • Scenarios added or updated per task
  • Evidence commands per task

Model Selection

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 |

Quick Reference

| 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) |

Red Flags

  • **Never** start code-quality review before spec compliance is ✅
  • **Never** skip the re-review after fixes (reviewer found issues = implementer fixes = review again)
  • **Never** dispatch multiple implementers in parallel (conflicts)
  • **Never** accept "close enough" on spec compliance
  • **Never** let implementer self-review replace the two-stage review

References

  • `implementer-subagent-prompt.md` — implementer dispatch template
  • `spec-compliance-reviewer-prompt.md` — Stage 1 review template
  • `code-quality-reviewer-prompt.md` — Stage 2 review template (includes boxing-in)
  • `skills/shared/parallel-adversarial-review.md` — PAR methodology
  • `skills/shared/par-reviewer-wrapper.md` — competitive framing wrapper
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Ships withiterative-development

A Claude Code plugin that drives an autonomous, audited implementation loop for projects with large, comprehensive, or ambiguous specs. Pairs with superpowers.

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Python
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Apache-2.0
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3mo ago
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5mo ago
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Repo: prime-radiant-inc/iterative-development

Other skills on iterative-development.