Plugins
12 plugins@fradser
Github
GitHub project operations with quality gates
4 skills · plugin
curated
Testing & Quality
Testing, TDD, code review, linting and debugging.
25 skills · plugin
@dataroaring
Developer Writing
Skills for writing high-quality technical blog posts and developer content
3 skills · plugin
@dotnet
Dotnet Msbuild
Comprehensive MSBuild and .NET build skills: failure diagnosis, performance optimization, code quality, and modernization.
18 skills · plugin
curated
Publish SEO-Optimized Article
Research, plan, write, and publish an SEO-optimized article with quality checks.
9 skills · plugin
curated
Code Security Review Pipeline
Audit code changes for bugs, security flaws, and quality issues before merging.
15 skills · plugin
@fradser
Refactor
Agent and skills for code simplification and refactoring to improve code quality while preserving functionality
3 skills · plugin
curated
Optimize Qdrant Search Quality
Diagnose and improve Qdrant search relevance by isolating embedding, config, or query issues.
3 skills · plugin
curated
Diagnose and Fix AI Workflow
Diagnoses an AI workflow and applies structured improvements for quality and reliability.
4 skills · plugin
curated
PR Review Pipeline
Install this pack to review a PR with structured analysis, security scanning, and quality enforcement.
11 skills · plugin
curated
DotNet Test Quality Audit
Analyze .NET test suites for anti-patterns, maintainability issues, and assertion diversity, producing a severity-ranked report.
3 skills · plugin
curated
SEO Content Brief to Optimized Article
Create a data-driven content brief, write and optimize the article, and enforce SEO quality.
9 skills · plugin
Results for “quality”
12 skills
github Diagnose
Performs a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.
36.2k
rafsilva85 Credit Optimizer
Reduces AI API costs by 30-75% by classifying task complexity, checking prompt quality, and routing tasks to the most cost-efficient model tier before execution.
49 · bundle
builderio Efficient Frontier
Orchestrate expensive frontier models as reviewers and cheaper subagents for bounded, token-heavy work to optimize cost and quality.
3.4k · bundle
nimoqup046-collab LLM Ops
Guides production AI systems: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and caching.
2
jorcan LLM Ops
Guides production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and AI architectures.
0 · bundle
More results
addyosmani Context Engineering
Optimizes agent context setup by structuring rules, specs, source files, error output, and conversation history to improve output quality.
69.5k
lucaspmarie-a11y LLM Ops
Provides guidance on production AI operations including RAG pipelines, vector databases, embeddings, fine-tuning, prompt engineering, cost estimation, and quality evaluation.
5
phoroth LLM Ops
Implements production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, advanced prompt engineering, cost estimation, quality evals, semantic caching, streaming, and agents.
3
antigravity LLM Ops
Provides guidance and code for production AI workflows including RAG pipelines, vector databases, embedding indexing, prompt engineering, cost estimation, semantic caching, and quality evaluation.
42.4k
github Agentic Eval
Implement iterative evaluation and refinement loops for AI agent outputs, using self-critique, evaluator-optimizer patterns, and rubric-based scoring to improve quality.
36.2k
muratcankoylan Context Fundamentals
Explains foundational concepts of context engineering: what context is, attention mechanics, the U-shaped attention curve, and why context quality matters more than quantity.
16.9k · bundle
muratcankoylan Advanced Evaluation
Provides production-grade techniques for evaluating LLM outputs using LLMs as judges, covering direct scoring, pairwise comparison, bias mitigation, rubric generation, and confidence calibration.
16.9k · bundle