Plugins

12 plugins
curated
Feature Development Pipeline
Plan, execute, and verify a feature using structured planning, gated pipeline, and issue tracking.
10 skills · plugin
curated
Project Verification Pipeline
For developers running comprehensive verification pipelines for Laravel or Quarkus projects before PRs or releases.
4 skills · plugin
curated
Secure Code Review Pipeline
Installs a pipeline to validate, plan, execute, and enforce a secure code review on PRs.
12 skills · plugin
curated
Build RAG Pipeline with Pinecone
Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.
6 skills · plugin
curated
Deploy Azure ML Pipeline
Manage Azure Machine Learning resources including workspaces, jobs, models, data, compute, and pipelines using the SDK v2 for Python.
3 skills · plugin
curated
Agent Governance Pipeline
Implement policy enforcement, intent classification, and audit trails for AI agents.
9 skills · plugin
curated
Cloudflare One Deployment Pipeline
Design, configure, and migrate to Cloudflare One Zero Trust and SASE.
3 skills · plugin
curated
Build Feature with TDD Pipeline
Research, plan, implement with TDD, review, and commit a new feature.
5 skills · plugin
curated
GDPR Audit Pipeline
Pressure-test GDPR compliance with article-cited questions and generate audit readiness evidence.
9 skills · plugin
curated
Code Security Review Pipeline
Audit code changes for bugs, security flaws, and quality issues before merging.
15 skills · plugin
curated
MCP Security Audit Pipeline
Audit MCP servers for secrets exposure, shell injection, and supply chain risks.
12 skills · plugin
curated
Secure Django Deployment
Installs a pipeline to harden, audit, verify, and deploy a Django app securely.
5 skills · plugin

Results for “pipeline”

24 skills
More results
lucaspmarie-a11y
AI Ml
Orchestrates AI/ML workflows for building LLM applications, RAG systems, AI agents, and ML pipelines, covering design, integration, observability, and security.
5
antigravity
AI Ml
Orchestrates AI/ML workflows for building LLM applications, RAG systems, AI agents, and ML pipelines with observability and security.
42.4k
k-dense-ai
Transformers
Load pre-trained models from Hugging Face Hub, run pipeline inference, generate text, and fine-tune models on NLP, vision, audio, and multimodal tasks using the Transformers library.
30.2k · bundle
affaan-m
Iterative Retrieval
Progressively refines context retrieval in multi-agent workflows to solve the subagent context problem.
226k
github
Pinecone RAG
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.
36.2k
majiayu000
RAG
Builds Retrieval-Augmented Generation systems with document chunking, embedding generation, vector storage, and retrieval pipelines, including evaluation and optimization.
567 · bundle
mukul975
Testing Prompt Injection In RAG Pipelines
Probe RAG applications for prompt injection via poisoned retrieved context and embedding manipulation.
24.6k · bundle
joshuashepherd
Agent RAG
Build or modify a RAG retrieval pipeline with vector store search, corpus routing, citation rendering, and book fidelity enforcement.
1
joshuashepherd
Build RAG
Builds or modifies a RAG pipeline with intent-based routing, vector store search, citation rendering, and book fidelity enforcement.
1
github
Qdrant Search Quality Diagnosis
Diagnoses Qdrant search quality issues by isolating causes like HNSW approximation, quantization, embedding model, or search pipeline problems.
36.2k
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
oyi77
RAG Builder
Designs and implements RAG pipelines, covering document chunking, embedding strategies, hybrid search, answer synthesis with source attribution, and evaluation using RAGAS metrics.
10
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
nvidia
RAG Eval
Evaluates RAG pipelines using a filesystem-based benchmark with corpus/ and train.json, running evaluate_rag.py to tune retrieval and generation flags and interpret RAGAS metrics.
2.2k · bundle
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
jeffallan
RAG Architect
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality.
10.4k · bundle