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 ( )
- AOS CEFrameworks
Unicity
- 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
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
- AgentAtlas: Beyond Outcome Leaderboards for LLM Agents (May 2026)Agent Reliability
UC Santa Cruz / MIT: six-state control-decision taxonomy and trajectory-failure vocabulary for separating outcome success from control-decision and trajectory quality; explicit label menus account for 14–40 pp of apparent agent capability
- Agent Data Injection Attacks are Realistic Threats to AI Agents (July 2026)Agent Safety
New category of indirect prompt injection in which malicious data is disguised as trusted data (metadata, tool outputs, context structures, identifiers), bypassing existing IPI defenses; demonstrates real-world attacks on web and coding agents including Claude Code, Codex, and Gemini CLI
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 242 resources. View the full list on GitHub →