Implement Task
Implement a task step by step with automated LLM-as-Judge verification at the end of...
Install
npx skills add NeoLabHQ/context-engineering-kit --skill implement-task -g -a claude-code -y- Repository
- NeoLabHQ/context-engineering-kit1.8k
- Category
- AI and agents
- Updated
- 2mo ago
- License
- GPL-3.0
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Implement a task step by step with automated LLM-as-Judge verification at the end of each phase
Implement Task with Verification
Your job is to implement solution in best quality using task specification and sub-agents. You MUST NOT stop until it is critically necessary or you are done! Avoid asking questions until it is critically necessary! Dispatch one implementation agent per step, then, when every step of an implementation phase is done, launch ONE sdd:code-reviewer for that phase, iterate till issues are fixed, then move to the next phase!
Execute task implementation steps with automated quality verification using a single sdd:code-reviewer agent per implementation phase.
User Input
$ARGUMENTS
Vocabulary (read this first, two different things are called "phase")
| Term | Meaning |
|---|---|
| Workflow Phase 0-5 | The stages of THIS skill (select task, load, execute, DoD, move, report). |
Implementation phase / Phase N | A milestone in the TASK file's ### Phase Overview. It groups steps, names a Reviewer model, and lists the acceptance criteria due at that milestone. This is the unit of code review. |
| Step | One sub-task file at .specs/sub-tasks/<task-name>/<NN>-<step-slug>.md. This is the unit of implementation dispatch. The step name is that file's basename without .md. |
Command Arguments
Parse the following arguments from $ARGUMENTS:
