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Browserhub Automation Assistant

browserhub-automation

ComposioHQ/awesome-claude-skills

Automate Browserhub workflows through Composio’s Rube MCP toolkit by discovering tools with RUBE_SEARCH_TOOLS, verifying Browserhub connections, and executing schema-approved actions via RUBE_MULTI_EXECUTE_TOOL.

Declarative LM Programming

Orchestra-Research/AI-Research-SKILLs

DSPy lets you declaratively compose language-model tasks, build modular RAG/agent pipelines, and apply automatic prompt optimizers so complex AI systems stay maintainable and systematically improve outputs.

Feature Engineering Toolkit

engineering-features-for-machine-learning

jeremylongshore/claude-code-plugins-plus-skills

Feature Engineering Toolkit automates creating, selecting, and transforming dataset features to improve machine learning models; use it whenever you need new interactions, automatic selection, scaling, or encoding to boost accuracy and interpretability.

Hybrid Search Implementation

hybrid-search-implementation

sickn33/antigravity-awesome-skills

Combine vector and keyword search to improve RAG and search applications, ensuring semantic understanding plus exact matching for domain-specific terms and queries that need both recall and precision.

KlingAI Performance Tuning

klingai-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimize Kling AI for faster generations, higher output quality, and lower costs by benchmarking current behavior, identifying bottlenecks, applying targeted improvements, and validating gains with after-action measurements.

Flash Attention Optimization

optimizing-attention-flash

Orchestra-Research/AI-Research-SKILLs

Speeds up transformer attention with Flash Attention techniques, offering 2-4× throughput gains and 10-20× memory reduction. Ideal for long-context models on PyTorch (native or flash-attn lib), H100 FP8, and sliding window scenarios to resolve GPU memory bottlenecks and improve inference.

SimPO Preference Optimization

Orchestra-Research/AI-Research-SKILLs

SimPO offers a reference-free preference optimization workflow to align LLMs more efficiently than DPO or PPO, requiring no reference model and suited for compute-constrained single-node training with proven AlpacaEval gains.

Pronunciation Training Workflow

speak-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Runs the Speak secondary workflow to deliver phoneme-level pronunciation training, scoring, error handling hints, and adaptive practice guidance for speech-improvement features.

Context Engineering Advisor

context-engineering-advisor

deanpeters/Product-Manager-Skills

Helps product managers diagnose whether AI workflows rely on indiscriminate context stuffing or deliberate context engineering, then apply bounded domains, retrieval, and Research→Plan→Reset→Implement practices to improve reliability and output quality.

AI Citability Scoring

zubair-trabzada/geo-seo-claude

Assess how likely AI systems such as ChatGPT, Claude, Perplexity or Gemini are to extract and cite content from a page by scoring answer blocks, self-contained facts, and structure, and by giving rewrite tips to improve visibility in AI responses.

Geo Content Quality Audit

zubair-trabzada/geo-seo-claude

Assesses AI-targeted content for Experience, Expertise, Authoritativeness, and Trustworthiness plus structure so teams can score and improve citability.

AI Trust Metadata

akf-trust-metadata

sickn33/antigravity-awesome-skills

AKF is the native metadata format that stamps trust scores, provenance, and compliance proof onto AI-generated or modified files, enabling auditing before and after edits across DOCX, PDF, image, and code assets.

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