LLM Mart Basic
@llm-mart · Joined Jun 2026
Pre-change blast radius analysis for Alibaba Cloud — Resource Directory OU scope mapping, RAM policy cascade effects, VPC peering and CEN impact, SLB backend pool changes, RDS connection pool disruption, and safe change sequencing.
Advise on MLPS 2.0 grading and technical controls, DSL Article 31 cross-border data transfer, CSL network operator obligations, PIPL personal data requirements, and ICP Beian filing for mainland China CN-* region workloads.
Detect and coordinate response to Alibaba Cloud cost anomalies — MaxCompute CU vs on-demand billing mismatch, ECS spot instance interruption cascades, CDN traffic spike billing, OSS API request cost explosions, budget alert → DingTalk notification → remediation playbook.
Analyze Alibaba Cloud spend via Cost Manager, optimize Savings Plans and Reserved Instance coverage, design resource tagging strategy, investigate budget drift, and right-size over-provisioned ECS, RDS, and MaxCompute resources.
Coordinate the daily Alibaba Cloud operations standup — cost delta from Cost Manager, ActionTrail anomaly review, ACK pod failure triage, quota utilization warnings, Security Center finding review, and action item assignment.
Build CI/CD pipelines with RDC (Research and Development Collaboration), Cloud Build, Flow pipeline automation, ACR (Container Registry) image lifecycle, and environment promotion strategies.
Operate ECS instances, Auto Scaling groups, ECI serverless containers, and Cloud Assistant O&M automation. Handle instance lifecycle, image management, placement groups, spot/preemptible instances, and scheduled scaling.
Review Alibaba Cloud EventBridge, MNS (Message Notification Service), RocketMQ, and MSE event-driven designs — dead-letter queues, message ordering, idempotency, retry storm prevention, schema registry, and consumer group lag monitoring.
Deploy and operate Function Compute 3.0, SAE (Serverless App Engine) applications, and EDAS microservice apps. Guide the serverless vs. PaaS vs. container platform choice for each workload type.
Review Terraform and ROS (Resource Orchestration Service) changes targeting Alibaba Cloud — blast radius analysis, resource deletion detection, cross-stack dependency impact, Resource Directory scope, and rollback plan completeness.
Audit and govern Alibaba Cloud KMS key lifecycles, Certificate Manager, SSM (Secrets Manager), and HSM key operations. Ensure encryption-at-rest coverage and rotation compliance across CMKs, envelope encryption, and certificate lifecycle.
Design Alibaba Cloud landing zone — Resource Management org tree, Cloud SSO, Control Policy (SCP equivalent), multi-account governance baseline, billing account structure, and ActionTrail centralization.
Gate ACK deployment mutations, node pool scaling, and cluster version upgrades against rollback posture and workload disruption budget. Prevents irreversible cluster version upgrades from proceeding without PodDisruptionBudget verification, node drain confirmation, and explicit o
Gate live financial authority actions — budget threshold changes, Savings Plan purchases, and Reserved Instance commitments. These are committed spend or can trigger immediate service suspension.
Gate KMS key deletion and disable operations. All data encrypted with a deleted CMK (OSS SSE-KMS, ECS encrypted disks, RDS/PolarDB TDE) becomes permanently and irrecoverably inaccessible. This guard enforces complete CMK dependency audits, deletion window confirmation, and explic
Gate OSS bucket ACL and policy mutations — public-read/write ACL exposes data to internet crawlers within seconds; CN-* cross-border replication requires DSL Article 31 assessment.
Gate RAM policy/role mutations against the Alibaba Cloud account hierarchy. RAM AdministratorAccess assignment, policy deletion with active STS tokens, and Resource Directory Control Policy changes carry account-wide or org-wide blast radius. This guard enforces blast-radius asse
Gate RDS/PolarDB instance deletion, spec downgrade, and backup policy removal — database deletion without verified backup is permanently destructive.
Traffic engineering for Alibaba Cloud load balancers — CLB (Classic, legacy), ALB (Application Load Balancer, Layer 7 advanced routing), NLB (Network Load Balancer, Layer 4 high throughput), and GA (Global Accelerator) — type selection, health check design, WAF integration, and t
Alibaba Cloud Maestro routing skill. Classify the user's Alibaba Cloud task, select the narrowest specialist agent or the right team of specialists from the catalog, and dispatch them — single specialist for focused tasks, parallel team (max 4) for multi-domain tasks. Never auto-
Fourteen posts of being wrong in production, compressed to checkboxes
Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds
Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.
Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.
A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.
A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.
None of the safety came from the model. It came from six boring habits.
Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.
Six hours in, one step left, everything green, and the incident that didn't happen
CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.
Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it
An API request routing a model's tool call through an approval gate to a remote MCP server
31 config keys, two audits, and why the first one was wrong in both directions
The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.
Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.
Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.
"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks
stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.
The most important rule wasn't about what I could change. It was about what I was allowed to display.
Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.
/plan-es
Plan es
Iniciar planificación de archivos estilo Manus. Crear task_plan.md, findings.md, progress.md para tareas complejas.
/plan-goal
Plan goal
Bridge Claude Code's /goal to the active plan. Derives a goal condition from task_plan.md and invokes /goal so Claude keeps working until the plan is complete. Available since v2.38.0.
/plan-loop
Plan loop
Run a planning-aware cadence with Claude Code's /loop. Default tick checks plan status, runs check-complete, nudges progress.md update if stalled. Available since v2.38.0.
/plan-zh
Plan zh
启动 Manus 风格的文件规划。为复杂任务创建 task_plan.md、findings.md、progress.md。
/plan-zht
Plan zht
啟動 Manus 風格的檔案規劃。為複雜任務建立 task_plan.md、findings.md、progress.md。
/plan
Plan
Start Manus-style file-based planning. Creates task_plan.md, findings.md, progress.md for complex tasks.
/pwf
Pwf
Short alias for /plan. Starts Manus-style file-based planning: task_plan.md, findings.md, progress.md. Available since v3.0.0.
/start
Start
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls. Now with automatic session recovery after /clear
/status
Status
Show current planning status at a glance - phases, progress, and any logged errors.
/adversarial
Adversarial
Run three-agent adversarial analysis -- advocate builds the case, adversary challenges it, judicial analyst synthesizes
/briefing
Briefing
Structured pre-execution briefing session -- collects case context through specialist panel, builds execution plan, supports resume and depth control
/cantonal
Cantonal
Analyze cantonal law for all 26 Swiss cantons -- cantonal court decisions, cantonal legislation, procedural specifics, and interaction with federal law
/cite
Cite
Validate, format, and look up Swiss legal citations including BGE/ATF/DTF decisions and statutory references
/create-workflow
Create workflow
Create a reusable custom workflow by combining BetterCallClaude agents. Interview-based: pick agents, order them, define the output. Saved for future use with /bettercallclaude:workflow.
/doc-analyze
Doc analyze
Analyze Swiss legal documents -- identify legal issues, extract key clauses, verify citations, and assess compliance
/doctor
Doctor
Diagnose MCP server connectivity — tests each server, reports status and impact in plain language, suggests fixes for issues.
/draft
Draft
Draft Swiss legal documents including contracts (OR), court submissions (ZPO), and legal opinions (Gutachten) with multi-lingual support
/federal
Federal
Force Federal Law Mode for Swiss federal legal analysis, overriding cantonal auto-detection
/help
Help
Show complete BetterCallClaude command reference, available agents, skills, and usage examples
/legal-5step
Legal 5step
Execute the BetterCallClaude 5-step Swiss legal framework: intake → research → strategy → adversarial → draft. A complete end-to-end pipeline for any Swiss legal matter, from document analysis through final legal output.
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