alibabacloud-agentloop-management
AgentLoop Skill Router
Positioning: This skill is the single entry point for Alibaba Cloud AgentLoop requests. It only classifies the user's intent and dispatches to one of the six domain playbooks below. All executable rules - prerequisites, credentials, RAM policies, parameter confirmation, safety protocols, command usage, and verification - live inside the domain files. Do not run any cloud operation before reading the matched domain file.
Compatibility: cloud-operation domains require Aliyun CLI 3.3.15 or later; Pipeline requires aliyun-cli-agentloop 0.7.4 or later; bundled evaluation, Pipeline, and public-document retrieval scripts require Python 3.8 or later. Instrumentation guidance and public-document retrieval do not require Aliyun CLI, cloud credentials, or a browser.
Routing Table
| # | Domain | Intent | Entry file (read first) |
|---|---|---|---|
| 1 | Application onboarding (APM & AI observability) | Instrument an application so it reports to AgentLoop: probe or agent install, APM onboarding, aliyun-bootstrap, AliyunJavaAgent, instgo, cms_node_sdk, ack-onepilot, OpenTelemetry, LicenseKey, K8s/ACK/ECS onboarding, LLM and AI-framework tracing (Dify, LangChain, DashScope) |
references/onboarding.md - internally routes to references/apm.md / references/ai.md |
| 2 | Evaluation | Score model, agent, or trace quality: create and update evaluators and evaluator skills, one-shot sample tests, batch trace or Dataset evaluation, trace backfill, poll an evaluation task, analyze results and low-score cases | references/evaluation/evaluation.md |
| 3 | Dataset | Store and retrieve structured rows: Dataset lifecycle and schema, append rows with add-dataset-data, read-only queries with execute-query, SQL or SearchExpr, semantic search, embedding fields |
references/dataset/dataset.md |
| 4 | Pipeline | Transform source data into a Dataset once or on a schedule: import Logstore/SLS data into a Dataset, import traces, design specs, preview/create/run, inspect runs, control the lifecycle, configure processing nodes, and map OT AI traces | references/pipeline/pipeline.md |
| 5 | Live-Debug runtime diagnostics | Diagnose an already-running Java or Python application with CMS ServiceTask: dynamic log/snapshot/metric/span probes, JVM commands (OGNL, decompile, thread/memory/runtime inspection), disable/clear probes, and query capture results through SLS | references/live-debug-runtime.md |
| 6 | High-code instrumentation | Teach, implement, or troubleshoot manual instrumentation for AgentLoop with loongsuite-genai-utils / language-specific GenAI Utils and OpenTelemetry SDK: Java, Go, Python, Node.js; LLM/Agent/Tool/Retrieval spans, LLM Trace field formats, async/cross-process context propagation, business attributes and broken traces | references/instrumentation/instrumentation.md — dynamically retrieves official documentation without a browser |