Swift/Xcode build, compilation, and dependency error resolution specialist. Fixes swift build errors, Xcode build failures, SPM dependency issues, and code signing problems with…
Expert Swift developer specializing in Swift 5.9+ with async/await, SwiftUI, and protocol-oriented programming.
Expert Swift code reviewer specializing in protocol-oriented design, value semantics, ARC memory management, Swift Concurrency, and idiomatic patterns.
How to perform a live agent takeover of the Clawfinger voice gateway — dial, inject greetings, handle turns, release, and observe handback.
Terminal pet that lives in your statusline. 12 species, 5 stats (DEBUGGING, PATIENCE, CHAOS, WISDOM, SPEED).
Manages and orchestrates multi-step, stateful agent workflows; handles task dependencies, persistent state, error recovery, and external rate-limiting.
Build and operate a multi-agent task queue in OpenClaw with priority queues, delayed/dead-letter queues, scheduling, retry/timeout control, dependency management, parallel…
Test-Driven Development for the Reactive Agents codebase. Effect-TS aware TDD with mandatory timeout flags, Effect.flip error testing, Layer isolation, and dangling-server…
Test-Driven Development specialist enforcing write-tests-first methodology. Use PROACTIVELY when writing new features, fixing bugs, or refactoring code. Ensures 80%+ test coverage.
Telemetry and observability patterns for AI agent systems. Structured multi-transport logging, OpenTelemetry traces/spans through action gates, crash diagnostics,…
Expert Terraform engineer specializing in infrastructure as code, multi-cloud provisioning, and modular architecture.
Run agent evaluation tests via `sf agent test run` against the target org's Testing Center. Produces severity-graded findings; CI mode emits SARIF for GitHub Code Scanning.
Expert test automation engineer specializing in building robust test frameworks, CI/CD integration, and comprehensive test coverage.
Test agent delegation patterns to verify hierarchy and escalation paths. Use after modifying agent structure.
Test automation specialist — applies general testing practice and Playwright-specific patterns (TypeScript POM, fixtures, CI, optional Gherkin/BDD).
Use when testing, evaluating, or building regression suites for Agentforce agents: conversation testing in Agent Builder, topic coverage and utterance testing, Testing API and…
Framework de test complet pour agents IA — tests unitaires, d'intégration, de bout en bout et adversariaux.
Test AI agent systems including tool use, multi-turn conversations, error recovery, and non-deterministic outputs.
Expert tooling engineer specializing in developer tool creation, CLI development, and productivity enhancement.
Evaluate a multi-step AI agent's whole run — tool calls, intermediate steps, and final result — not just final-answer correctness, so you can pinpoint WHERE it went wrong.
Drive terminal UI (TUI) applications programmatically for testing, automation, and inspection. Use when: automating CLI/TUI interactions, regression testing terminal apps,…
Optimize ElevenLabs conversational AI agents for real estate applications. Use when creating new agents, improving conversation quality, selecting voices, engineering system…
Expert TypeScript developer specializing in advanced type system usage, full-stack development, and build optimization.
Expert TypeScript developer specializing in advanced type system usage, full-stack development, and build optimization.
Expert TypeScript/JavaScript code reviewer specializing in type safety, async correctness, Node/web security, and idiomatic patterns.
Deterministic verification gate for agent task close-out. Reads scope contract, rule report, feedback log, and diff — emits a single verification_report.json verdict.
Stream free, professional text-to-speech from voiceless servers to Linux, macOS, or Android devices with 50+ voices in 30+ languages.
Creates additional AI agents using modern 2025 patterns. Guides through agent architecture, generates agent blueprints, and produces implementation-ready code.
Expert Vue specialist mastering Vue 3 with Composition API and ecosystem. Specializes in reactivity system, performance optimization, Nuxt 3 development, and enterprise patterns…
Real-time communication specialist implementing scalable WebSocket architectures. Masters bidirectional protocols, event-driven systems, and low-latency messaging for interactive…
Persistent, per-project knowledge base for coding agents. Maintains a wiki of cross-referenced markdown pages — architecture, bugs, decisions, gotchas, patterns, dependencies —…
AI agent workflow patterns including ReAct agents, multi-agent systems, loop control, tool orchestration, and autonomous agent architectures.
Generate a reusable agent-driven project workflow as filesystem-based Agent Skills. Use when bootstrapping planning, refinement, architecture, implementation, review, and…
XXE specialist (H1 #63). Use for testing XML parsing endpoints, file upload processors, SOAP services, SVG handlers, and any feature accepting XML input.
用于任何「运行/执行/评估代码」的请求（如 run this code、execute script、用 Python 画图、跑代码/画图/执行脚本）。通过 AgentBay SDK 创建 code_latest 沙箱，调用 run_code 执行并返回结果。支持 Python、JavaScript、R、Java。
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations.
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations.
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations.
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations.
Optimize AgentDB vector search performance using quantization for 4-32x memory reduction, HNSW indexing for 150x faster search, caching, and batch operations for scaling to…
Use when building, wiring, or debugging an Agentex agent — choosing agent type, configuring acp.py and manifest.yaml, using adk.messages or adk.state, or resolving…
Design and ship a multi-agent system on AgentField. Use when the user asks to build, scaffold, design, or run an agent, reasoner network, multi-agent backend, or 'an agent that…
Use when Agentforce run costs are climbing, you need to forecast scale, or you want to reduce tokens per conversation without hurting quality.
Design Agentforce conversations that span multiple turns without losing context: session variable scoping, conversation memory, clarifying-question patterns, topic-to-topic…
Use when defining or refining the tone, voice, and behavioral personality of an Agentforce agent: system instruction encoding, brand voice alignment, adaptive response formats,…
Design Agentforce testing: topic coverage, action unit tests, deterministic golden sets, adversarial prompts, and regression harness.
Enforces high-level architectural thinking, separation of concerns, and scalability checks before coding. — from engineering/architecture
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.