awesome-prompts
github.com/ai-boost/awesome-prompts ↗Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me a2a — agent-to-agent protocol resources from awesome-prompts"
Installation instructions →What's inside
Agent Ecosystem
- a2aproject/A2AA2A — Agent-to-Agent Protocol
- Agent Skills Docs — AnthropicAgent Skills
Official docs & spec
- anthropics/skillsAgent Skills
Official collection + spec ( )
- browser-useFrameworks
OSS
- Building a C Compiler with Parallel Claudes — AnthropicHarness Engineering
How Anthropic used parallel Claude sub-agents to build a C compiler — generator/evaluator harness patterns
- Claude CodeFrameworks
Anthropic
Papers
- Active Context Compression (2026)Context & Memory
Focus agent architecture — autonomously consolidates history into a Knowledge block and prunes stale context; 22.7% token reduction on SWE-bench Lite, no accuracy loss
- Act Wisely: Meta-Cognitive Tool Use in Agentic Multimodal Models (April 2026)Tool Use
Alibaba: addresses meta-cognitive deficit where agents blindly invoke tools — HDPO framework reduces unnecessary tool invocations from 98% to 2% while increasing reasoning accuracy; first paper on "when NOT to use tools"
- AdaptOrch: Task-Adaptive Multi-Agent Orchestration (2026)Multi-Agent Coordination
Topology selection (parallel/sequential/hierarchical/hybrid) matters more than model choice — AdaptOrch automatically picks the right topology per task; 12–23% improvement over static single-topology baselines across SWE-bench, GPQA, and RAG
- AgeMem: Unified Long- and Short-Term Memory for LLM Agents (2026)Context & Memory
First to unify LTM (add/update/delete) and STM (retrieve/summarize/filter) as tool-based actions via GRPO RL; 7B model achieves +49.59% over no-memory baseline across 5 benchmarks; ICLR 2026 MemAgents Workshop
- Agentic Code Reasoning (March 2026)Reasoning Techniques
Semi-formal reasoning using structured templates requiring explicit evidence — achieves 87% accuracy on code QA, 9 pp gain over standard agentic reasoning; enables interpretable code understanding for complex reasoning tasks
- Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence? (April 2026)Multimodal Prompting
Systematic evaluation of agentic capability in multimodal LLMs — decomposes tasks into perception, reasoning, and action levels; reveals where agentic loops help vs. where they add overhead
Frameworks
Tools & Libraries
- Agent-Memory-Paper-List
Curated papers on memory architectures for LLM agents — long-term, short-term, attention mechanisms (2026)
- Anthropic Prompt Library
Official production-ready prompts from Anthropic
- automotive-skills-suite
152 installable Claude skills for automotive engineering — ISO 26262, ISO/SAE 21434, ISO 21448 SOTIF, AIAG-VDA, ASPICE, AUTOSAR; builder + reviewer pairs with xlsx deliverables
- Awesome-Agentic-Reasoning
Papers and resources on agentic reasoning from foundational to multi-agent coordination — 3-layer framework (2026)
- Awesome-Agent-Papers
Curated papers on LLM agents: methodology, applications, challenges — covers STRIDE, planning, tool use, memory, multi-agent (2026)
- awesome-ai-agent-papers
Curated 2025–2026 papers on agent engineering, memory, eval, and workflows
System Prompt Leaks
Showing a sample of 223 resources. View the full list on GitHub →