nextjs
claudeOfficial Next.js skills: adopt and optimize Cache Components, adopt Partial Prefetching, and verify runtime behavior against a running dev server.
6 skills
15-phase OSS framework evaluation methodology with AI bias prevention. Evaluates open source projects for adoption decisions with rigorous safeguards against common AI analysis pitfalls.
Plugin oss-eval from marketplace claude-oss-eval-plugin in maxamillion/claude-oss-eval-plugin. Commands read from the repo's manifest — 1 month ago.
bias-preventionfeature-verificationsource-validation/oss-eval:analyzePhase 2: Perform detailed analysis of each candidate identified in Phase 1, focusing on core capabilities, architecture, and initial fit assessment.
/oss-eval:architecturePhase 7: Conduct deep technical analysis of candidate architectures including code-level examination and scalability characteristics.
/oss-eval:communityPhase 5: Assess the health, sustainability, and responsiveness of each candidate's open source community for long-term viability.
/oss-eval:contextPhase 13: Introduce specific product context and constraints to ground the evaluation in real business needs.
/oss-eval:costsPhase 11: Quantify total cost of ownership (TCO) including infrastructure, licensing, maintenance, and hidden costs.
/oss-eval:discoverPhase 1: Conduct comprehensive web search discovery to identify candidate frameworks/libraries in the specified topic space.
/oss-eval:dxPhase 12: Evaluate developer experience (DX) including documentation quality, tooling, debugging, and learning resources.
/oss-eval:gapsPhase 9: Develop comprehensive mitigation strategies for identified gaps including effort estimation and implementation planning.
/oss-eval:hybridPhase 14: Explore hybrid approaches that combine multiple candidates for different use cases to optimize outcomes.
/oss-eval:licensingPhase 4: Conduct thorough analysis of licensing implications including dependencies, commercial use restrictions, and compliance requirements.
/oss-eval:matrixPhase 3: Develop a comprehensive, annotated feature comparison matrix with [OSS]/[PAID] differentiation and cross-platform verification.
/oss-eval:reportGenerate comprehensive evaluation reports from completed phases. Supports interim and final reports.
/oss-eval:requirementsPhase 8: Map candidate capabilities against specific product/project requirements to assess fit and identify gaps.
/oss-eval:riskPhase 6: Synthesize findings from Phases 1-5 into a comprehensive risk assessment with quantified basis for decision-making.
/oss-eval:runExecute a complete 15-phase OSS framework evaluation automatically with a single command. Runs all phases sequentially with progress tracking.
/oss-eval:startInitialize and orchestrate a comprehensive 15-phase OSS framework evaluation with built-in safeguards against AI analysis pitfalls.
/oss-eval:statusDisplay current evaluation progress, phase completion status, and next recommended actions.
/oss-eval:uiPhase 10: Assess how each candidate integrates with UI including component libraries, theming, and accessibility.
/oss-eval:validatePhase 15: Conduct final validation through adversarial review ensuring all biases are addressed and recommendation is defensible.
adversarial-reviewerdiscovery-agentOfficial Next.js skills: adopt and optimize Cache Components, adopt Partial Prefetching, and verify runtime behavior against a running dev server.
6 skills
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
Install the "AAS AI Product & Evaluation Ops" editorial skill bundle for Claude Code.
13 skills
Build, train, evaluate, and use open source AI models, datasets, and spaces.
26 skills · 1 MCP server
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
1 skill · hooks
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