LLM Mart Basic

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.

Analyze Python async code for correctness, patterns, and potential issues.

Profile Python code for performance bottlenecks using cProfile, memory_profiler, or py-spy.

Evaluate public API surfaces against guidelines and exemplars.

Principal-level architecture assessment against ADRs and design patterns.

Systematic bug detection with language-specific expertise.

Run a detailed review that picks its dimensions from what the codebase and diff contain.

Active security hardening of the existing codebase, with a report and concrete proposals to apply.

Audit Makefiles for best practices and portability.

Intensive mathematical analysis for numerical stability and correctness.

Static-analysis hot-spot review for time and space complexity.

Analyze code quality across 6 dimensions (duplication, algorithms, clean code, architecture, errors, style) and apply fixes.

Expert-level Rust audits for safety and correctness.

Audit shell scripts for correctness, safety, and portability.

View recent skill executions with full context and error details.

Analyze skill execution metrics and identify unstable or underperforming skills.

Evaluate and upgrade test suites with TDD/BDD rigor.

Run a computer use task on the desktop via Claude's vision and action API

Stage changes, generate conventional commit message, commit, and push to current branch. One-shot git add-commit-push.

Draft a Conventional Commit message for staged changes. Analyzes diffs, classifies change type, and formats scope/body.

Create git release tags from merged PRs or version args. Pushes a v-prefixed tag to trigger the release pipeline, then confirms the run started.

Your efficient agentic AI coding CLI assistant

AI coding with Aegis governance built into execution: baseline-aware changes, evidence-backed delivery. Free desktop client, your choice of model. 将哲科思维融入 AI 开发…

Android in docker solution with noVNC supported, video recording, mcp server and AI-agent

Your AI assistant, built for the agentic era. Open source and local: talk to it, and it runs your agents, your coding CLIs, your browser and your apps. Windows,…

Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions.

Let Claude Code and other coding agents drive and debug Chrome from the shell. DOM, network, console and raw CDP as short commands, no screenshots and no MCP ne…

Unofficial, agent-friendly Mercadona shopping CLI (Go) — search products, read prices, build a cart and prepare checkout from the terminal. BYO credentials.

Local-first AI canvas for visual workflows, AI short drama, image/video generation, storyboarding and asset management. ComfyUI, AI agents, MCP & Blender. 本地优先…

Let any AI coding tool — Claude Code, Cursor, Codex — drive your real Chrome. One-prompt setup, muscle memory, local-first.

runs anywhere. uses anything

Open-source dots for the web: an AI agent with its own browser, one that does not get blocked.

Free MIT AI coding agent — no API key needed. Built-in free model, or bring Claude, GPT, Gemini, DeepSeek, Ollama +50 more. Swarm mode, 40+ tools, browser & des…

Open-source AI customer support system. AI-first support, human-ready operations.

A durable, multiplayer, mobile-first web app for Pi agents, built on Pi Durable

Embedded Cypher knowledge graph for Python and Rust. Bundled MCP server, describe() schema, and code-graph parser for LLM agents.

Turn PDFs, books and papers into interactive learning webpages｜将复杂材料转化为可追溯、可测验、可做笔记的学习网页

PhysicsOS 是一个面向初高中物理学习的公益可视化智能体，通过 AI 理解题目并结合物理引擎，将抽象物理过程转化为可交互、可观察、可计算、可验证的真实物理场景。

Open-source, self-hosted alternative to OpenAI Dots, Meta Muse, Grok Bot, Manus Cue and Claude Cowork. AI agents, each with a virtual machine on your PC with a…

Quant infrastructure for AI agents — a free, open-source desktop workspace for macOS and Windows where your Claude Code or Codex turns a trading idea into a bac…

Build stateful agent workflows with typed outputs, reusable tools, session forks, and ordinary TypeScript.