LLM Mart Basic

Create, refine, compose, and export isometric/dimetric assets for web and games: projection math, SVG/CSS/three.js generation, pixel-art and Blender workflows, engine tilemaps, ControlNet AI generation, and the iso-studio composer. Triggers on: isometric, dimetric, tileset, y-sor

Autonomous single-metric improvement loop - modify, measure, keep or discard, repeat (Karpathy autoresearch). One session, git as memory, bisect-on-regression. Triggers: iterate, improve autonomously, run overnight, keep improving, improvement loop, iterate until done.

Laravel framework patterns, Eloquent ORM, authentication, queues, and testing. Use for: laravel, eloquent, artisan, blade, php, sanctum, livewire, inertia, pest, phpunit, forge, vapor, queue, middleware, migration, factory, seeder.

Read and inspect LevelDB stores - especially Chromium/Electron app state (Local Storage, IndexedDB, Session Storage). Triggers on: leveldb, .ldb files, IndexedDB, Local Storage, Chromium storage, Electron app state, claude.ai cache, browser forensics, decode app state, claude des

Log analysis and JSONL processing - structured extraction, cross-log correlation, timeline reconstruction, pattern search

Design and safely run OUTER loops - scheduled discover-triage-implement-verify-escalate agent loops. Native primitives schedule; loop-ops governs. Risk-tier ladder (L1 report -> L3 unattended), STATE/run-log/budget spine, kill switch, pattern catalog. Triggers: outer loop, schedu

Mapbox GL JS v3 (web) toolkit: custom markers, symbol/geojson layers, clustering, style expressions, 3D terrain/fill-extrusion, heatmaps, choropleths, camera animation, and performance gotchas. Use for any Mapbox GL JS work — markers, layers, style, 3D, or headless map verificati

Convert local documents to Markdown using Microsoft's markitdown CLI. Best for: PDF, Word, Excel, PowerPoint, images (OCR), audio. Can fetch URLs but Jina is faster for web. Triggers on: convert to markdown, read PDF, parse document, extract text from, docx, xlsx, pptx, OCR image

Model Context Protocol server development, tool design, resource handling, and transport configuration. Use for: mcp, model context protocol, mcp server, mcp tool, mcp resource, fastmcp, mcp transport, stdio, sse, streamable http, mcp inspector, tool handler, mcp prompt.

Framework and language migration patterns - version upgrades, breaking changes, dependency audit, safe rollback. Use for: migrate, migration, upgrade, version bump, breaking changes, deprecation, dependency audit, npm audit, pip-audit, codemod, jscodeshift, rector, rollback, semv

Observability patterns - metrics, logging, tracing, alerting, and infrastructure monitoring. Use for: monitoring, observability, prometheus, grafana, metrics, alerting, structured logging, distributed tracing, opentelemetry, SLO, SLI, dashboard, health check, loki, jaeger, datado

Cross-platform network troubleshooting (Windows, macOS, Linux) via local or remote shell. Use for: DNS broken, can't resolve hostnames, nslookup/dig works but apps fail, NRPT, WFP, scutil, /etc/resolver, systemd-resolved, resolv.conf, NetworkManager, VPN DNS leak residue (ProtonV

Next.js App Router operations - the server/client boundary, the two caching models, Server Actions security, streaming, proxy.ts and deployment. Use for: next.js, nextjs, app router, use cache, cacheComponents, Cache Components, cacheLife, cacheTag, revalidateTag, updateTag, reva

Nginx configuration, reverse proxy, SSL/TLS, load balancing, and performance tuning. Use for: nginx, reverse proxy, load balancer, proxy_pass, ssl certificate, lets encrypt, web server, location block, upstream, server block, nginx config, certbot, hsts, gzip, rate limiting.

Router for parallel or recurring agent work across six skills. Covers: parallel agents, fan out work, delegate to workers, run overnight, scheduled loop, land branches, mixed-model fleet, orchestrate workers, background agents at scale. Triggers on: which skill for parallel work,

Payload CMS 3 (Next.js-native) architecture - collections, globals, fields, access control, hooks, Local API, storage adapters, and database (Postgres/MongoDB/SQLite). Use for: payload, payloadcms, payload cms, payload 3, collection config, access control, payload hooks, local ap

Inter-session pmail - send and receive messages between Claude Code sessions running in different project directories. Uses global SQLite database at ~/.claude/pmail.db. Triggers on: mail, pmail, send message, check mail, inbox, inter-session, message another session, pigeon.

Playwright end-to-end testing operations - selectors, fixtures, network mocking, auth, parallelism, CI, visual regression, flake hunting. Use for: playwright, e2e test, end-to-end testing, browser test, getByRole, page object, storageState, trace viewer, flaky test, test sharding

Portless local-dev HTTPS proxy: replaces port numbers with named URLs (Caddy/nginx alternative for local dev). Triggers on: portless, local https proxy, named localhost URL, custom TLD, portless alias, portless.json, local CA trust, boot persistence, monorepo routing, Tailscale d

PostgreSQL operations, optimization, and administration. Use for: schema design, index selection, query tuning with EXPLAIN ANALYZE, postgresql.conf configuration, backup and restore (pg_dump, pg_basebackup, WAL, PITR), vacuum and autovacuum tuning, connection pooling (pgBouncer,

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.

Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.

Refactor provided code for cleanliness, maintainability, and alignment with SOLID principles and modern best practices — no over-engineering.

Analyze and remediate technical debt — inventory debt items, score by impact, and produce a prioritized remediation plan with estimated effort.

Orchestrate comprehensive multi-dimensional code review using specialized review agents across architecture, security, performance, testing, and best practices

Enhance a pull request with a generated description, review checklist, risk assessment, and test coverage report

Execute tasks from a track's implementation plan following TDD workflow

Manage track lifecycle: archive, restore, delete, rename, and cleanup

Create a new track with specification and phased implementation plan

Git-aware undo by logical work unit (track, phase, or task)

Initialize project with Conductor artifacts (product definition, tech stack, workflow, style guides)

Display project status, active tracks, and next actions

Restore saved project context and decisions to resume a session

Save project context, decisions, and progress for a later session

Build features guided by data insights, A/B testing, and continuous measurement

Design and implement batch and streaming data pipelines with ingestion, orchestration, dbt transformations, data quality checks, and monitoring

Reduce cloud costs across AWS, Azure, and GCP through rightsizing, reserved and spot capacity, storage tuning, and cost monitoring

Migration monitoring, CDC, and observability infrastructure

SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, SQL Server

AI-assisted smart debugging — parse error messages, stack traces, and failure patterns to identify root causes and produce a fix with automated observability steps.

Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.

Paper trading simulator for Polymarket — built for AI agents. MCP server, live order books, strategy backtesting. Install: npx clawhub install polymarket-paper-…

An SSH tool dedicated to addressing all pain points · (macOS/Windows/Linux/Android/iOS)

The first AI agent harness native to the browser. A browser extension that runs a full agent loop where you already work: it drives your tabs, spins up sandboxe…

SmartLabel AI 2026: Auto-Annotate Any Object via LLM-Powered Prompt Parsing

Local-first visual generation runtime and studio for people and coding agents, with reproducible image and video workflows across multiple providers.

Scholar All-In-One: A research infrastructure for AI agents

Give your AI agent a real browser — with a human in the loop. Open-source MCP-native browser agent.

同花顺免费开源AI插件FQGate-agent（原插件名 tonghuasun-agent）：为 Codex、Claude Code、DeepSeek 等 AI 工具提供本机 A 股实时行情、K 线、Level-2、资讯、账户查询与可选交易能力。

A non-linear AI agent workbench — session is a tree: branch anytime, and context follows the branch

Production-grade AutoCAD MCP server for AI agents — 122 tools, dual COM (live AutoCAD) + headless ezdxf engines, ISO GD&T and dimension-tolerance validation for…

A DeepSeek coding agent harness: persistent shell, Ultra subagents, auto approval, Chrome MCP and session telemetry

Waku Waku! Waku Agent is a local-first AI agent harness you actually own, including loop, memory, eval, all in code built to stay legible as it grows.

Remote control for Claude Code, Codex, Grok, and Cursor on Mac or PC. View sessions, send tasks, and drive them remotely from your phone, PIN, or Ring. OpenClaw…

Next-gen AI-native server ops panel with an in-workspace SRE agent. Crash self-healing, safe rollbacks, Docker/game servers, and local Ollama support.

Professional cloud architecture diagrams with official AWS, Azure and GCP icons, from Terraform code or a plain JSON graph. MCP server + agent skill.

A ready-to-use self-growing desktop AI assistant for long-running tasks, memory, agents, tool reviews, MCP, and high-concurrency workspace automation. / 开箱即用的自我…

Collection of templates using the Alchemyst AI Platform for your next big AI app.

Fast, exact LLM decoding on Apple Silicon (MLX) behind an OpenAI-compatible endpoint

The open source AI research agent.

Open-source agent-native visual production workspace where humans and coding agents edit the same live canvas — local-first, BYOK image/video models.