Do Competitively
Skill Warning ActiveExecute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
To execute complex tasks by leveraging the strengths of multiple AI agents, ensuring high-quality, evidence-based results through a structured competitive evaluation process.
Features
- Competitive generation with self-critique
- Meta-judge evaluation specification
- Multi-judge evaluation with verification loops
- Adaptive strategy selection (polish, synthesize, redesign)
- Evidence-based synthesis of results
Use Cases
- Designing complex APIs or systems where multiple approaches need evaluation.
- Generating and refining code for high-stakes projects requiring maximum quality.
- Producing comprehensive documentation or technical specifications through comparative agent output.
- Tasks where consensus among multiple AI perspectives is crucial for optimal outcome.
Non-Goals
- Executing trivial tasks where the overhead of multi-agent competition is not justified.
- Simple code generation without comparative evaluation or synthesis.
- Replacing human oversight entirely; the framework aims to augment decision-making.
Workflow
- Create reports directory.
- Phase 1: Launch 3 generator agents and 1 meta-judge agent in parallel.
- Meta-judge generates evaluation specification YAML.
- Generators produce independent solutions.
- Phase 2: Launch 3 judges in parallel, evaluating solutions against meta-judge spec.
- Judges produce comparative reports and votes.
- Phase 2.5: Orchestrator analyzes judge outputs to select strategy (SELECT_AND_POLISH, REDESIGN, FULL_SYNTHESIS).
- Phase 3: Based on strategy, polish a winner, redesign fundamentally flawed solutions, or synthesize the best elements from multiple solutions.
- Output final solution and reports.
Documentation
- info:Configuration & parameter referenceThe SKILL.md provides a detailed workflow and prompt templates, but does not explicitly document all parameters or their default values for the `/do-competitively` command, nor does it detail precedence order for any configuration files.
License
- critical:License usabilityThe extension is licensed under GPL-3.0, which is a strong copyleft license and may not be compatible with all use cases or downstream redistribution plans.
Versioning
- warning:Release ManagementNo explicit versioning (e.g., semver in package.json or SKILL.md frontmatter) is detected, and installation instructions reference 'NeoLabHQ/context-engineering-kit' without a specific tag, which could lead to unexpected updates.
Installation
First, add the marketplace
/plugin marketplace add NeoLabHQ/context-engineering-kit/plugin install sadd@context-engineering-kitQuality Score
WarningTrust Signals
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