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Plugins

1 plugin
@fradser
Storm
Wikipedia-style long-form article generation via multi-perspective question asking and retrieval — a Claude-native port of Stanford STORM's two-stage research-to-article pipeline
6 skills · plugin

Results for “retrieval”

11 skills
affaan-m
Iterative Retrieval
Progressively refines context retrieval in multi-agent workflows to solve the subagent context problem.
226k
joshuashepherd
Agent RAG
Build or modify a RAG retrieval pipeline with vector store search, corpus routing, citation rendering, and book fidelity enforcement.
1
nvidia
Aiq Research
Runs deep research queries through a reachable NVIDIA AI-Q Blueprint backend, handling health checks, job submission, polling, and report retrieval.
2.2k · bundle
zhaoxuya520
Competition Prompt Injection
Analyzes prompt injection, retrieval poisoning, memory contamination, planner drift, and tool-boundary abuse in agentic systems, mapping trust boundaries and proving exploit chains.
12.8k · bundle
neuralblitz
Langchain
Build LLM-powered applications with modular components for chains, agents, memory, and retrieval, supporting Python and JavaScript frameworks.
1
More results
joshuashepherd
Build RAG
Builds or modifies a RAG pipeline with intent-based routing, vector store search, citation rendering, and book fidelity enforcement.
1
nvidia
Deepstream Generate Pipeline
Builds and validates DeepStream GStreamer pipelines through an interactive questionnaire and a BM25 retrieval engine over 270+ verified pipelines.
2.2k · bundle
muratcankoylan
Memory Systems
Designs persistent memory architectures for AI agents, covering cross-session knowledge retention, entity tracking, temporal validity, graph/vector retrieval, and memory consolidation.
16.9k · bundle
samyakjhaveri
Gpt Researcher
Conducts autonomous multi-source research using a planner/executor architecture and an MCP server, with tools for deep research, quick search, report writing, and source retrieval.
0
ecnu-icalk
Auto Skill Lifecycle Handling
Automates the full lifecycle of agent skills: extracts reusable constraints from user feedback, merges preferences with version bumps, and retrieves relevant skills for new tasks.
559
muratcankoylan
Latent Briefing
Shares memory between agents at the representation level by compacting the orchestrator's KV cache for efficient worker handoff, reducing token costs without summarization or retrieval.
16.9k · bundle