LLM Mart Basic
@llm-mart · Joined Jun 2026
Express.js routes, middleware, error handling, request/response patterns
Fastify routes, JSON Schema validation, plugin system, TypeScript type providers
Hono routes, OpenAPI, Zod validation
NestJS backend framework - modules, controllers, services, DI, guards, pipes, interceptors, exception filters, middleware, DTOs with class-validator
GraphQL API server with Apollo Server — schema, resolvers, context, error handling, data sources, plugins
GraphQL server for Fastify with Mercurius — loaders, subscriptions, federation, JIT compilation
GraphQL Yoga v5 server, Envelop plugins, subscriptions, error masking
Webhook patterns — receiving, sending, signature verification, and retry logic
Pino logging, Sentry error tracking, Axiom - structured logging with correlation IDs, error boundaries, performance monitoring, alerting
Pino, Axiom, Sentry installation - one-time project setup for logging and error tracking with source maps upload
Query optimization, caching, indexing, connection pooling, async patterns
Job queues, background processing, and task scheduling with BullMQ v5
Elasticsearch patterns -- client setup, index management, search DSL, aggregations, vector search, bulk operations, deep pagination
Meilisearch search engine patterns -- client setup, indexing, search, filtering, facets, geo search, multi-tenancy, task management
OpenAPI 3.1 specification, schema design, code generation
Chroma vector database -- collection management, automatic embedding, metadata filtering, document storage, query patterns
Pinecone serverless vector database -- index management, vector operations, metadata filtering, namespaces, hybrid search, inference API
Qdrant vector database -- collection management, point operations, payload filtering, named vectors, quantization, recommendations, snapshots
Weaviate vector database patterns with weaviate-client v3 -- collection management, vectorizer modules, hybrid search, filtering, generative search (RAG), multi-tenancy, batch imports
Modern CLI development combining oclif's command framework with Ink's React-based terminal rendering
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.
/health
Health
One-line reliability verdict (OK / DEGRADED / FAILING) for Claude Code usage
/slo
Slo
Print a quick SLO snapshot — completion rate, tool success rate, and error rate
/report
Report
Generate an evidence-backed CCAM executive, cost, reliability, or workflow report.
/runs
Runs
List live and persisted CCAM-launched Claude Code and Codex runs
/find-session
Find session
Search Agent Monitor sessions by cwd, model, or status and print the top matches.
/recent
Recent
List the N most recent Claude Code sessions from the Agent Monitor.
/replay
Replay
Summarize one Agent Monitor session by id — header plus a concise transcript recap.
/dag
Dag
Print the orchestration DAG edges (parent→child subagents) for a session.
/runs
Runs
List recent Workflow-tool fleet runs with status and agent counts.
/workflow
Workflow
Summarize the workflow intelligence for a session — stats, complexity, and top patterns.
/broadcast
broadcast
Run broadcast on a distilled Raw — update related existing pages conversationally
/distill
distill
Distill raw session records into refined Notes and Projects
/evolve
evolve
Save knowledge to the cortex vault (Notes or Projects) and update index
/genesis
genesis
Initialize cortex vault — set up config, vault structure, and rebuild index
/query
query
Manually search the cortex vault (Notes, Projects, Raw) for existing notes
/takeoff
takeoff
Create, resume, or clear a session hand-off baton (one per work line)
/dev
Dev
Command → Agent → Skill orchestration for end-to-end feature development.
/investigate
Investigate
Command → Agent → Skill orchestration for investigating and fixing bugs.
/company
Company
Brief the CEO: coordinate with the peer CTO and start or resume a founder project across 8 departments and 54 skills
/onboard
Onboard
Configure an optional active team profile in three short questions
The fastest way to put Volcengine Ark in your terminal and your AI agent — go from prompt to generated media, multimodal answer, or deployed endpoint in a sin…
12 views 0 likes本地私有、开源的自进化跨平台 AI 内容发现 Agent:先理解你,再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。(支持 deepseek harness 插件) | Local-first open-source cross-platform AI cont…
14 views 0 likesPersistent memory for AI coding agents — one verified kb_search replaces the grep/find/ls orientation loop. Cross-repo, CPU-only, zero token spend.
14 views 0 likesAI 时代的伯克希尔:基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Co…
14 views 0 likesThe batteries-included, No-Code FinOps automation platform, with the AI you trust.
15 views 0 likesOpen-source 3D AI agent framework — GLB/glTF avatars with LLM brains, memory, emotions, and autonomous payments. MCP server · x402 · Solana/EVM · Three.js. Embe…
27 views 0 likesXLSX parser for LLMs, RAG, LangChain, LangGraph, CrewAI, Claude, MCP — turns Excel (.xlsx) into citation-ready JSON with formulas, charts, dependency graphs, an…
25 views 0 likesHermes-Relay — Your Hermes AI agent, in your pocket — chat, voice, and control.
15 views 0 likesA minimalist, terminal-native coding agent written in C.
14 views 0 likesAI-powered OSINT agent with interactive REPL, MCP server, and CLI. 19 tools. Works with Claude, GPT-4, or local models. For authorized security research only.
12 views 0 likesAI pair programming in your terminal — one static binary, sub-ms startup, any model
12 views 0 likesWhere data access meets operational intelligence
12 views 0 likesBuild your own security agents. Open-source framework for agents with live, read-only access to your infrastructure, with no path to widen it. Reasons across AW…
12 views 0 likesMulti-workspace terminal aggregator with Claude Code AI integration
16 views 0 likesGo implementation of AI coding agent
14 views 0 likesHarness engineering beginner tutorial, from 0 to 1
15 views 0 likesGenerate images directly in DeepSeek Harness chats
27 views 0 likesA smarter, self-hosted AI assistant — multi-user, multi-agent.
16 views 0 likesTurn any research paper into a commercialization report — 6 AI agents, TRL/MRL scoring, patent landscape, market intelligence, verified citations. DeepSeek / Op…
15 views 0 likesPower BI CLI - semantic models (.NET TOM) and PBIR reports for token-efficient AI agent usage, built for Claude Code
15 views 0 likes