abhishekmmgn/skills

agent-contracts

framework for implementing "Contract-Adhering Agents." Use this to define precise task specifications, deliverables, and negotiation loops to reduce ambiguity in complex workflows.

원문 언어: 영어

agent-development

implementation patterns for Gemini agents. Use this for coding ReAct loops, defining tools in Python, and using frameworks like LangChain/LangGraph.

원문 언어: 영어

agent-evaluation

methodologies for assessing agent capabilities, tool-use trajectories, and final response quality. Use this to implement automated testing and human-in-the-loop validation for agents.

원문 언어: 영어

agent-interoperability-a2a

standardized protocols for agent collaboration. Use this to implement the Agent2Agent (A2A) protocol and Agent Cards to transform isolated agents into a collaborative ecosystem.

원문 언어: 영어

agent-observability

strategies for agent observability (logging, tracing, metrics). Use this to instrument agents for debugging, performance tracking, and quality assurance.

원문 언어: 영어

agent-ops

operationalization strategies for agents (AgentOps). Use this to manage internal/external tools, optimize agent "brain" prompts, and handle task decomposition.

원문 언어: 영어

agent-quality-flywheel

operational strategy for continuous agent improvement. Use this to implement the "Flywheel" lifecycle: Define Quality, Instrument, Evaluate, and Architect Feedback Loops.

원문 언어: 영어

agent-quality-framework

core framework for defining and measuring agent quality. Use this to shift from traditional software verification to agent validation using the "Outside-In" approach and the Four Pillars of Quality.

원문 언어: 영어

agent-security-governance

comprehensive security layers for autonomous agents. Use this to implement system instructions as constitutions, multi-stage filtering, and continuous red-teaming.

원문 언어: 영어

agentic-rag

strategies for building Agentic RAG systems. Use this to move beyond static retrieval by using autonomous agents for adaptive source selection, query expansion, and multi-step reasoning.

원문 언어: 영어

multi-agent-orchestration

design patterns for coordinating multiple agents. Use this to implement Hierarchical, Diamond, Peer-to-Peer, or Collaborative architectures for complex workflows.

원문 언어: 영어

production-operations

managing live agents through the Observe-Act-Evolve loop. Use this to maintain performance, manage unpredictable costs, and strategically improve agents based on production data.

원문 언어: 영어

production-pipelines

strategies for building automated CI/CD pipelines for agents. Use this to implement "shift left" testing, staged validation, and evaluation-gated deployments.

원문 언어: 영어

registry-architectures

strategies for managing tool and agent assets at scale. Use this to design discovery systems, implement curated lists, and facilitate cross-team reusability through Tool and Agent Registries.

원문 언어: 영어

safe-rollout-strategies

techniques for de-risking agent releases. Use this to implement Canary, Blue-Green, and A/B testing strategies while leveraging GitOps for reliable rollbacks.

원문 언어: 영어

tooling-strategies

decision matrix for agent tools. Use this to choose between Extensions, Functions, and Data Stores based on security, execution location, and data type.

원문 언어: 영어

gemini-advanced-reasoning

advanced logic and problem-solving strategies for Gemini. Use this for complex math, multi-step reasoning, or deep analysis tasks where standard prompting fails.

원문 언어: 영어

gemini-agentic-react

strategies for implementing the ReAct (Reason and Act) paradigm. Use this to enable Gemini to use external tools, APIs, and perform multi-step research.

원문 언어: 영어

gemini-code-engineering

strategies for using Gemini as a coding assistant. Use this for generating new code, debugging errors, translating languages, or explaining complex logic.

원문 언어: 영어

gemini-context-security

security protocols for agent context. Use this to implement strict data isolation, redact PII, and prevent memory poisoning or prompt injection attacks.

원문 언어: 영어

gemini-memory-lifecycle

strategies for the agent memory lifecycle (Extraction, Consolidation, Retrieval). Use this to implement long-term learning and personalization beyond a single session.

원문 언어: 영어

gemini-prompt-construction

effective prompt structure strategies for Gemini, including Zero-shot, Few-shot, Role, and System prompting. Use this to refine queries for better accuracy and style.

원문 언어: 영어

gemini-structured-output

strategies for forcing Gemini to output valid structured data (JSON/XML). Use this for data extraction, API integrations, and creating machine-readable responses.

원문 언어: 영어

mcp-fundamentals

core architecture of the Model Context Protocol (MCP). Use this to understand Hosts, Clients, Servers, and the JSON-RPC communication layer.

원문 언어: 영어

mcp-interoperability

strategies for scalable agent architecture. Use this to solve the "N x M" integration problem, implement dynamic tool discovery, and decouple agents from specific tool implementations.

원문 언어: 영어

mcp-security-governance

security protocols for MCP agents. Use this to prevent Dynamic Capability Injection, Tool Shadowing, and Confused Deputy attacks when connecting to external servers.

원문 언어: 영어

mcp-server-capabilities

extended MCP features beyond tools, including Resources (data access), Prompts (templates), and Sampling (server-initiated model calls). Use this to implement rich, two-way agent interactions.

원문 언어: 영어

agent-foundations

core cognitive architectures for Gemini agents. Use this to implement reasoning loops (ReAct, Chain-of-Thought) and understand the orchestration layer.

원문 언어: 영어

gemini-session-management

strategies for managing agent sessions, handling conversation history (events), and implementing compaction (summarization/truncation) to prevent context overflow.

원문 언어: 영어

mcp-tool-definition

best practices for defining MCP tools using JSON schemas. Use this to design robust `inputSchema`, `outputSchema`, and `annotations` that guide the model effectively.

원문 언어: 영어