LLM Mart Basic
@llm-mart · Joined Jun 2026
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-
Manage MaxCompute CU package governance, DataWorks scheduling, Quick BI reporting, and PAI ML platform. Optimize query cost and job scheduling efficiency for big data workloads.
Plan Alibaba Cloud migrations using SMC (Server Migration Center), DTS (Data Transmission Service) for data sync, OSSImport for object storage migration, and design cutover sequencing with rollback paths.
Configure and operate Alibaba MSE (Microservice Engine) — Nacos service discovery and configuration management, Sentinel rate limiting and circuit breaking, Seata distributed transactions, and ARMS APM for microservices observability.
Design Alibaba Cloud network topology — VPC peering, CEN for multi-VPC/multi-region connectivity, Express Connect for private circuits, SLB/ALB/NLB/CLB load balancer selection, and Smart Access Gateway for branch offices.
Respond to Alibaba Cloud incidents using CloudMonitor alarms, SLS log analytics, ARMS APM distributed tracing, and alert governance for ECS, RDS, ACK, and network services.
Govern Alibaba Cloud OSS data perimeters — bucket ACL and policy conflict resolution, Block Public Access configuration, cross-account access via RAM role, VPC endpoint binding for private access, WORM (Object Lock), and MLPS 2.0 data residency compliance.
Manage OSS lifecycle policies, bucket policy and ACL governance, NAS/CPFS shared file storage, cross-region replication, and access control hardening for Alibaba Cloud object and file storage.
Operate PolarDB (MySQL/PG/Oracle) clusters and RDS instances — DAS diagnostics, database proxy, Global Database Network, backup strategy, and performance tuning.
Audit Alibaba Cloud RAM users, groups, roles, and policies; review STS token lifecycle and scope; assess Resource Directory permission boundaries; review Control Policy statements for org-wide gaps or over-privilege.
Govern Alibaba Cloud Container Registry (ACR) — Enterprise Edition vs Personal Edition selection, image vulnerability scanning, namespace IAM least privilege, image retention policies, cross-region replication, and supply chain security posture.
Review Alibaba Cloud workload HA and BCDR designs — RDS High-Availability Edition failover, PolarDB Global Database Network, ACK multi-zone, ECS disaster recovery cross-region, RTO/RPO target analysis, and HBR (Hybrid Backup Recovery) coverage.
Harden Alibaba Cloud security posture via Security Center (threat detection, vulnerability scanning, baseline checks), WAF, Anti-DDoS Pro, Cloud Firewall, and Network Traffic Analysis (NTA).
Review Function Compute 3.0 (FC3), SAE (Serverless App Engine), and EDAS for production readiness — cold start optimization, VPC binding, RAM role injection, ARMS distributed tracing, security group rules, concurrency limits, and SLA-readiness.
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.
/setup
Setup
credo - Set up Claude Code with recommended workflows and plugins
/cleanup
Cleanup
dogma - Find and fix AI-typical patterns in code (reactive cleanup)
/docs-update
Docs update
dogma - Sync documentation across README files and wiki articles
/force
Force
dogma - Interactively collect and apply CLAUDE rules to the project
/ignore
Ignore
dogma - Add ignore patterns to multiple locations at once
/lint
Lint
dogma - Run project-specific linting and formatting on staged files (non-interactive)
/permissions
Permissions
dogma - Create or update DOGMA-PERMISSIONS.md interactively (Git, File, and Workflow permissions)
/sanitize-git
Sanitize git
dogma - Sanitize git history from Claude/AI traces and fix tracking issues
/sync
Sync
dogma - Intelligently sync Claude instructions from a source to the current project with interactive review
/versioning
Versioning
dogma - Check and fix version mismatches across all version files
/setup
gsd:setup
Install GSD resources into the active Claude config dir (${CLAUDE_CONFIG_DIR:-$HOME/.claude}/get-shit-done/) (required before using other GSD commands)
/uninstall
gsd:uninstall
Remove GSD resources from the active Claude config dir (${CLAUDE_CONFIG_DIR:-$HOME/.claude})
/cleanup
Cleanup
hydra - Remove already merged worktrees and their branches
/create
Create
hydra - Create a new Git worktree for isolated work
/delete
Delete
hydra - Safely remove a Git worktree
/help
Help
hydra - Show available commands and explain the concept
/list
List
hydra - List all Git worktrees of the repository
/merge
Merge
hydra - Merge a worktree branch back into current branch
/parallel
Parallel
hydra - Start multiple agents in parallel across worktrees
/spawn
Spawn
hydra - Start an agent in an existing worktree
Implementation of Podlite markup language
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