Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in.
Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in.
\"Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in.
Build or modify Fleet Pi's React Agent Elements UI, including InputBar controls, tool cards, question prompts, resource drawer, model picker, mode selector, and streaming state.
Agent skill for v3-integration-architect - invoke with $agent-v3-integration-architect
Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer
Validate agent YAML frontmatter and configuration. Use before committing agent changes or in CI.
Construction d'un sous-agent spécialisé dans la collecte de données web pour un agent parent. Crawling, extraction, parsing et retour structuré.
End a session and write back durable knowledge. Use at the end of every work session. Extracts what's worth keeping, proposes wiki updates, and executes after user approval.
Deep audit of the wiki and repo-vs-wiki gap assessment. Use weekly or when things feel stale. Scans every page, finds contradictions, orphans, dead links, unsourced claims, stale…
Mid-session checkpoint. Use when you want to check progress, detect scope drift, capture emerging knowledge, or do a quick wiki health check without ending the session.
Begin an agent-wiki session. Reads the wiki, detects tensions between wiki content and actual state, briefs you, asks socratic questions, and proposes a session plan.
Multi-agent development workflow system. Load when orchestrating development tasks, spawning subagents, or managing workflow phases.
Construction d'agents d'automatisation de workflows métier incluant RPA intelligent, déclencheurs et actions chaînées.
Build multi-agent AI workflows with orchestration, tool use, and state management
Design and implement multi-agent orchestration systems with workflow DAGs, agent routing, handoff protocols, state management, and cost optimization.
Expert workflow orchestrator specializing in complex process design, state machine implementation, and business process automation.
Guide plan → instrument → execute → validate with explicit checkpoints and questions. Use for ambiguous tasks or when enforcing a consistent agent workflow.
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration.
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration.
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration.
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration.
Build semantic vector search systems with AgentDB for intelligent document retrieval, RAG applications, and knowledge bases using embedding-based similarity matching
Use when creating, configuring, auditing, or troubleshooting an Agentforce agent end-to-end: agent definition, agent user setup, channel assignment, system instructions,…
Use when designing how an Agentforce agent transfers the conversation to a human agent (Omni-Channel), to another bot/agent, or to an alternate workflow — including context…
Pick the right tool shape for each agent action: Apex invocable vs Flow action vs External Service vs Prompt Template vs Data Cloud retrieval.
AgentHero AI - Hierarchical multi-agent orchestration system with PM coordination, file-based state management, and interactive menu interface.
Dil seçimi, LLM sağlayıcısı ve sandbox seviyesi gibi mimari kararlar için ADR şablon başlıkları sağlarken kullan.
AI assistant for creating clear, actionable task descriptions for GitHub Copilot agents
Interactive prompt engineering coach that elevates vague prompts through Socratic dialogue, multiple transformation styles, and guided learning.
Context about running a fully agentic solo entrepreneur company. Use when the user discusses business strategy, agent delegation, team structure, or company operations.
Tüm ortam değişkenlerinin anlam, örnek ve zorunluluk tablosunu tek yerde tutmak için kullan; LLM_PROVIDERS ile birebir hizala.
Varsayılan, dosya, ortam ve CLI bayraklarından gelen yapılandırmanın birleştirme sırasını uygularken kullan.
cloud, local, anthropic-only gibi profillerin alan haritasını ve geçiş kurallarını tanımlarken kullan.
COS danışmanlığında Faz 1 bağlamını, bileşen haritasını ve doğru skill yönlendirmesini özetlerken kullan.
Üçüncü parti bağımlılıkların lisans envanteri ve agentic/ kaynak kesitlerinden türetme risklerini yönetirken kullan.
Use when building AI agent systems. Covers agent loops, tool calling, planning patterns, memory systems, multi-agent coordination, and safety guardrails.
Write clear, plain-spoken code comments and documentation that lives alongside the code. Use when writing or reviewing code that needs inline documentation like file headers,…
Son kullanıcı için cloud API ve lokal Ollama modunda beş dakikada çalıştırma adımları ve mini hata tablosu hazırlarken kullan.
Use this when: can AI agents use my service, is my product agent-ready, agentic commerce readiness, MCP server for my service, can an AI agent buy from me, agent-native…
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
Patterns for evaluating and improving AI agent outputs through iterative refinement loops. Use when implementing self-critique, building evaluator-optimizer pipelines, creating…
Hardened constitutional governance — F1-F13 floor enforcement with Quad-Witness consensus for all actions
COS model işletiminde Juju teşhis sırası, yetki uyarıları ve geri dönüş komutlarını özetlerken kullan.
Code quality guidelines for Jarvy CLI - Rust formatting, Clippy linting, error handling patterns, documentation standards, and Conventional Commits.
Performance optimization guidelines for Rust CLI tools. Covers efficient command execution, parallel processing, lazy initialization, allocation minimization, config parsing, and…
Assess agentic layer maturity using the 12-grade classification system (Class 1-3). Use when evaluating codebase readiness, identifying next upgrade steps, or tracking progress…
Audit codebase for agentic layer coverage and identify gaps. Use when assessing agentic layer maturity, identifying investment opportunities, or evaluating primitive coverage.
Score a repository's agentic legibility from repo-visible evidence only. Use when Codex needs to audit how easy a codebase is for coding agents to discover, bootstrap, validate,…
Ollama, LM Studio, vLLM gibi yerel OpenAI uyumlu /v1 uçları için port, model ve tool desteği fallback’ini yapılandırırken kullan.
Uzak OpenAI uyumlu API ile base_url, api_key, model ve proxy kullanımını yapılandırırken kullan.
MCP sunucu listesinin config şekli, stdio vs HTTP ve env injection kurallarını tanımlarken kullan.
Air-gapped ortamda uzak API yokken lokal model, pip mirror ve MCP kısıtları için kontrol listesi hazırlarken kullan.
Shared reference for the agentic-ops cluster: the evidence-first operator loop (resolve surface → read live state → smallest reversible action → prove it → report exact status),…
Route a real-world operations task to the right skill among 16 agentic-ops specialists — email, messages, GitHub, Jira, Google Workspace, project flow, unified notifications,…
Provides the "how-to" for workflow / task execution orchestration. Defines methods for planning multi-phase task/workflows, implementing them through agent delegation, and…
Patterns for multi-agent coordination, task decomposition, handoffs, and workflow orchestration. Best practices for building and managing agent systems.
pyproject.toml, konsol entry point, sürümleme ve uv/pip kurulum dokümantasyonunu hazırlarken kullan.
AI 에이전트 협업 개발의 핵심 원칙. 분해정복, 컨텍스트 관리, 추상화 수준 선택, 자동화 철학, 검증 회고를 정의. 모든 AI 에이전트 사용 시 최적의 협업 패턴 적용.
Monitor background processes from Claude Code using sentinel files, heartbeat liveness, and subagent polling.