Automated discovery and matching of agent skills for dynamic task routing and capability assessment
Evaluates a skill library to identify which SKILL.md files would produce valuable autonomous agents when converted via /formula-create.
Use when turning a human SOP or manual process into an agentic workflow, building or adding an agent tool, or starting a new agent-workflow project — even if the user never says…
Detect agentic supply-chain risks: compromised dependencies, malicious plugins/tools/models, and untrusted update sources.
Opt-in OpenTelemetry veya metrik hatları; PII yok ve örnek span adları için rehber hazırlarken kullan.
Tur bazlı model ve tool kaydı, PII redaksiyonu ve opt-in politikası tanımlarken kullan.
Grafana erişim, parola, datasource ve boş pano sorunlarını teşhis ederken kullan.
Loki log akışı, datasource görünürlüğü ve sorgu sonucu eksikliği sorunlarını teşhis ederken kullan.
Prometheus scrape, hedef görünürlüğü ve veri akışı sorunlarını teşhis ederken kullan.
Traefik ingress, proxied endpoint ve dış erişim sorunlarını teşhis ederken kullan.
Deterministic workflow for searching services in Agentic Trust, inspecting trust evidence, loading the active questionnaire, comparing with local review memory, and optionally…
Scores task uncertainty to calibrate memory depth and iteration count. Use for: quantify uncertainty, fast slow think, uncertainty score, how sure.
UX patterns for AI agents and assistants. Transparency, control, trust, accountability.
Hatch ile wheel/sdist üretip temiz venv’de kurarak CLI’nin çalıştığını doğrularken kullan.
Incrementally summarizes cross-agent coding sessions (Claude Code, Cursor, Codex, Antigravity, OpenCode) into a HackMD work log—append to a user-chosen note or create a new one.
Practical AI agent workflows and productivity techniques. Provides optimized patterns for daily development tasks such as commands, shortcuts, Git integration, MCP usage, and…
Transition from static LLM chats to autonomous agents that execute multi-step tasks. Use this when you need to automate cross-platform reports (e.g., Snowflake to Google Docs),…
Design, review, and improve agent workflows & agent using SSOT, SRP, Fail Fast principles. Supports Prompt Chaining, Parallelization, Orchestrator-Workers patterns.
Design and implement agentic AI workflows and patterns. Covers ReAct, planning agents, tool use, memory systems, and multi-agent orchestration.
Design and implement agentic AI workflows and patterns. Covers ReAct, planning agents, tool use, memory systems, and multi-agent orchestration.
Guide for creating and configuring AgenticX agents with roles, goals, tools, LLM providers, and execution strategies.
Load when the user wants to view, sync, or analyze multi-agent activity across multiple devices — Claude Code / Codex / Cursor / Maestri / browser-use sessions captured to a…
Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what…
Agent interoperability protocols for 0xagentprivacy multi-agent systems. Activates when discussing M(u,y) matching functions, agent-to-agent communication, ERC-8004 trustless…
Emoji symbolic notation as formal language for 0xagentprivacy agent communication. Activates when encoding or decoding spells, designing new symbolic sequences, translating…
Generate a project-specific AGENTS.md from a user goal, then confirm before overwriting. — from majiayu000/claude-skill-registry
Anbieter- und nutzerneutrale Brücke zwischen Agenten, CLIs und IDEs. Entdeckt vorhandene Bootstrap-Konventionen, lässt den Nutzer eine oder mehrere Wahrheitsquellen und ihre…
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-b — from…
Use when creating or updating AGENTS.md files to guide AI coding agents. Covers file structure, placement, content guidelines, and best practices for project-level agent…
Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks.
Reference for the `mcp__agentwire__*` MCP tools — session/pane management, voice/TTS, tasks/locks, channels (email + quo, outbound-only), machines/tunnels/network,…
Use when wiring up or switching between China-domestic LLM providers (DeepSeek, Doubao/Volc Ark, Qwen/DashScope, MiniMax).
Agno AI agent framework. Use for building multi-agent systems, AgentOS runtime, MCP server integration, and agentic AI development.
Hold a seat well in a multi-agent room on a message hub (agora or similar) — join correctly, settle what you owe first, treat asks as contracts, post evidence not intentions, and…
Fine-tune Gemma 4 26B-MoE and Qwen3-VL-30B-A3B with LoRA rank 16 BF16, deploy Qwen3.5-35B-A3B with vLLM on Azure H100 NVL 96GB for AgroSatCopilot.
Use when framing the system and describing the model for an Agricultural Systems (AgSy) manuscript — defining system boundaries, components, hierarchical levels, and feedbacks,…
Wire MCP servers and AgentOps plugin bundles into the AGY image with least-privilege access, rollback evidence, and validation hooks.
Comprehensive ahooks React hooks library specialist. Expert in all 76+ ahooks hooks including state management, effects, data fetching, performance optimization, DOM util — from…
Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns
Virtual card payments for AI agents. Create intents, issue cards within policy, and make autonomous purchases with approvals for high-value spend.
Help marketers choose the right type of AI agent for their workflow. Use when a marketer wants to automate a repetitive task but doesn't know what kind of agent to build, or…
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
SaaS financial modeling engine that generates unit economics models, feature ROI calculators, pricing scenario analyses, TAM/SAM/SOM sizing, build-vs-buy comparisons, and revenue…
AI Agent设计与优化助手。面向独立开发者与一人公司,提供从System Prompt设计到Agent Loop编排的全流程辅助. 覆盖六大核心能力:Prompt Engineering(角色定义、约束设定、输出格式)、Task Decomposition(复杂任务拆解为可执行子任务)、 Agent…
AI Agent基础设计助手(免费版)。面向独立开发者,提供Prompt工程与ReAct循环设计两大基础能力, 帮助快速搭建可用的AI Agent。覆盖System Prompt角色定义、约束设定、输出格式规范,以及ReAct (Thought→Action→Observation)基础循环设计。适用于客服Agent、简单数据分析Agent等基础场景.
Step-by-step checklist and best practices for implementing new AI agent tools in the omer-akben portfolio.
Step-by-step checklist and best practices for implementing new AI agent tools in the omer-akben portfolio.
Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints.
Эксперт по оркестрации AI агентов. Используй для multi-agent systems, agent coordination, task delegation и agent workflows. — from Nir-Bhay/markups
Эксперт по оркестрации AI агентов. Используй для multi-agent systems, agent coordination, task delegation и agent workflows. — from majiayu000/claude-skill-registry
Use when crosswalking AI-agent controls and evidence across two or more regulatory or assurance regimes while exposing divergent obligations.
Make an AI agent or automation reliable enough to trust — the tests, checks, and guardrails that catch its failures before they reach anything real.
Checks whether AI-assisted work defines review criteria, accessible context, explicit review loop, human judgment boundary, and feedback capture before delegating to an agent.
Autonomous AI agent tool router register: schema registration, runtime parameter coercion, idempotency keys, and error recovery policies.
Design user experiences for autonomous AI agents that act on behalf of users - control panels, consent flows, action previews, audit trails, and undo mechanisms.
Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and…
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.