Enforces high-level architectural thinking, separation of concerns, and scalability checks before coding. — from engineering/architecture
PR pipeline için format, lint, test, önbellek ve Python sürüm matrisi iskeleti tanımlarken kullan.
Use when implementing code from a spec through a bounded build-test-fix loop with explicit acceptance criteria, automated checks, live verification when needed, and clear stop…
Unifying control-systems metalayer for LLM-as-controller agent development. Bootstrap any repository with typed plant/action/trace schemas, safety shield conventions, multi-rate…
Read-only report of where the agent-generated tests (*.agentic.spec.ts, *AgenticTest.java, test_agentic_*.py, ...) stand — agent-tests-only coverage, goal MET/NOT MET from…
Use when a bug, regression, race condition, or unexpected behavior has no proven root cause and you must confirm the cause with runtime evidence instead of guessing from source…
VS Code devcontainer ile tutarlı geliştirme ortamı için örnek alanlar ve Docker socket risk uyarısı verirken kullan.
Transition from a hands-on "bricklayer" to a high-level "architect" by managing a fleet of autonomous AI agents.
MASFT taxonomy of multi-agent failure modes (Berkeley 2025) — 14 modes in 3 categories. Five industry-recurring modes: hallucinated actions, scope creep, cascading errors, context…
Grafana Labs LLM plugin, Assistant ve HTTP API ayrımını Sentinel CLI bağlamında açıklarken kullan.
Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory…
Architecture guidelines for Jarvy CLI - codebase structure, tool implementation patterns, registry system, platform-specific code organization, and module conventions.
Testing guidelines for Jarvy CLI - unit testing patterns, integration tests with assert_cmd, test environment variables, platform-specific testing, and CI coverage strategies.
COS işletim sorunlarında MicroK8s teşhis sırası, komutlar ve yetki geri dönüşlerini özetlerken kullan.
Verify that agent tests (*.agentic.spec.ts, *AgenticTest.java, test_agentic_*.py, ...) truly lock behavior by running mutation testing against them only, then strengthening agent…
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state…
Design and operate multi-agent orchestration patterns (ReAct loops, evaluator-optimizer, orchestrator-workers, tool routing) for LLM systems.
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles. — from proffesor-for-testing/agentic-qe
Refactor or optimize main code while the agent-test suite (and user tests) must stay green after every change.
5-phase AI-powered SDLC — Discovery → Planning → Implementation → Validation → Production. UI-first, test-plan-first, human checkpoints at every phase.
The premier Agent-ready food delivery skill. Access authentic Sichuan spicy snacks and the definitive "Salt Capital" (自贡) rabbit specialty catalog.
Use when designing tool-use agents, multi-step reasoning systems, planning loops, multi-agent architectures, or agent evaluation frameworks.
Test-driven development for behaviour a unit test cannot reach, by writing the expectation against the running app before writing the code.
Remove every agent-generated test file (*.agentic.spec.*, *.agentic.test.*, *AgenticTest.java, test_agentic_*.py, *_agentic_test.c/.cpp) plus the agentic plan files, after an…
Reconcile agent tests after the user INTENTIONALLY changed main-code behavior — show each failing agent test as old-locked vs new-actual behavior, and update tests only with…
AI-first testing methodology where autonomous agents plan, generate, execute, and maintain test suites with minimal human intervention, covering agent orchestration, feedback…
The definitive operational architecture governing zero-waste token utilization, surgical context management, and latency minimization for autonomous AI coding agents.
Generate agent-authored unit tests ("agent tests") to reach a user-defined coverage goal for one target file/class or the whole project, without ever modifying main code or…
Use when reviewing or auditing an existing agent / LLM-pipeline architecture — e.g. 'is my workflow actually decomposed or secretly a mega-agent?', 'are my task boundaries and…
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration — from parcadei/Continuous-Claude-v3
Agentica server + Claude proxy setup - architecture, startup sequence, debugging — from parcadei/Continuous-Claude-v3
Agentica server + Claude proxy setup - architecture, startup sequence, debugging — from parcadei/Continuous-Claude-v3
Agentica server + Claude proxy setup - architecture, startup sequence, debugging — from majiayu000/claude-skill-registry
Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup.
Route broad or ambiguous AgentKit SEO work to the right module while keeping context scoped. Use when a request spans multiple surfaces, asks for overall digital-presence — from…
Use when creating a single Agentlas agent, creating a multi-agent team, or packaging an existing local/external agent into Agentlas architecture.
Use when converting, repairing, or packaging an existing local or external agent/team into Agentlas architecture for local install, Agentlas import, Codex plugin use, Claude…
Use when the user wants to build, initialize, validate, optimize, or refactor a model-powered assistant, internal tool, automation, evaluator, or workflow from a business — from…
Use when the user wants to build, initialize, validate, optimize, or refactor a model-powered assistant, internal tool, automation, evaluator, or workflow fr...
Use when the user wants Agently runtime extension capabilities: Action Runtime, built-in action packages, legacy tool compatibility, MCP access, Execution Environment lifecycle,…
Manage Agentmail.to inbox operations with deterministic Python scripts: list/read messages, download and analyze attachments, reply with sender filters, and set read/unread state.
Cost-tiered planning pipeline. Use when the user asks to plan a feature, refactor, migration, or fix with agentmaster, or invokes /agentmaster-plan.
How agentmemory is built, the iii engine primitives it runs on, its storage model, ports, and the viewer.
The agentmemory plugin hooks that capture observations automatically across the agent session lifecycle.
The agentmemory HTTP REST API surface, the primary protocol for talking to the memory server. Use when calling agentmemory over HTTP, when MCP is unavailable and you need a…
Use early in an AI-agent project — before ship, before real traffic — to build a starter test suite for the agent and run it offline.
How to author, ship, and update content (lessons, bonuses) for the AgentOS intensive platform ().
Reconcile and supervise an AgentOS Mate's direct reports across PostgreSQL, Kubernetes, Herdr, PVCs, and Git.
AI agent architecture and dual-agent separation for 0xagentprivacy. Activates when discussing I(S;M|π) mutual information bounds, TEE isolation, agent lifecycle…
The three-layer model that binds primary personas to lattice vertices via named cast Mages. Activates when discussing how the 42 abstract personas inhabit the 64-vertex lattice,…
Interaction protocols for the dual-territory architecture. Activates when discussing ceremony types (progressive trust, light armor, trust graph, guild efficiency,…
Cross-chain operations for 0xagentprivacy multi-chain architecture. Activates when discussing T(π) across chains, NEAR/Zcash/Ethereum interop, bridge-compatible proofs, chain…
Drake/Dragon philosophical duality for 0xagentprivacy. Activates when discussing the teaching-sovereignty cycle (Drake teaches → Dragon emerges → new Drake phase), model…
Dual-territory ceremony architecture specification. Activates when discussing Swordsman/Mage separation at infrastructure level, three territories (Spellweb, Agentprivacy, Bgin),…
Tokenomics and privacy economics for 0xagentprivacy. Activates when discussing SWORD/MAGE token pairs, emission curves, staking mechanisms, guild economics, Privacy Pool financial…
Environmental commons and polycentric governance for 0xagentprivacy. Activates when discussing climate coordination, environmental DAOs, carbon accounting, ecosystem services…
Information Commons Architect for 0xagentprivacy V5. Activates for media plurality challenges, signal vs noise problems, community journalism design, federated social media…
Builder of identity-independent data structures for 0xagentprivacy. Activates for holonic multi-provider persistence, identity-independent data design, shared reasoning graph…
Key generation, rotation, delegation, revocation, and hardware binding for the 0xagentprivacy dual-agent architecture.
Sovereign AI Vision and meta-orchestrator for 0xagentprivacy. Activates when articulating the complete architectural vision, orchestrating across multiple personas, assessing…