LLM Mart Basic

Create a merge request or pull request from the current branch: verify quality gates, enforce conventional commits, validate the title, and create it without a confirmation step. Use when the user says 'create MR', 'create PR', 'open a merge request', or 'raise a PR'.

Builds a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.

Reviews code exclusively for over-engineering and lists what to delete: reinvented standard library, unneeded dependencies, speculative abstractions, dead flexibility. Use when the user says 'review for over-engineering', 'is this over-engineered', or invokes /prune. Complements

Starts Phase 1 (Research) for a topic: reads every relevant file, optionally runs a panel of Explore teammates, and saves a research artifact to .claude/state/research/. Use when the user says 'research <topic>' or '/research', or before planning work in unfamiliar code. Research

Reviews a pull request with structured severity-based feedback. Use when asked to review a PR, asked for a code review, or given a PR number/URL.

Fetches and digests Sentry issue data (summary, tags, stack trace, breadcrumbs, latest event) by short ID, numeric issue ID, or sentry.io URL, for any Sentry org the local token can access. Use when the user mentions a Sentry issue or short ID (e.g. MY-PROJECT-4X2), pastes a sent

Runs pre-launch validation and the release workflow. Use when the user says 'ship', 'release', 'deploy', or 'ready to merge'.

Summarizes the current session's work into a diary entry at .claude/state/sessions/ and runs worktree auto-cleanup. Use when the user says 'summarize' or '/summarize', or when closing out a completed work session.

Breaks a plan, spec, or PRD into independently-grabbable issues on the project issue tracker using tracer-bullet vertical slices. Use when the user wants to convert a plan into issues, create implementation tickets, or break down work into issues.

Runs the comprehensive quality gate before declaring work done: discovers the checks CI actually runs, executes them in order, then reviews git status and the session diff. Use when the user says 'verify done' or '/verify-done', or before pushing any branch.

Plans a huge chunk of work - more than one agent session can hold - as a shared map of decision tickets in a local file, and resolves them one at a time until the way to the destination is clear. Use when the user invokes /wayfinder on an effort too big for a single session.

Creates an isolated git worktree for the current task and switches into it, so the task never collides with the main checkout. Use when the user says '/worktree <slug>' or wants an isolated working copy for a new task.

Cleans up a worktree after its branch has been merged: removes the worktree directory and deletes the local branch. Use when the user says '/worktree-merge' or asks to clean up a merged worktree.

Audits and optionally prunes git worktrees: current repo by default, cross-repo scan under ~/dev/ with --all. Use when the user says '/worktrees', 'audit worktrees', or 'prune worktrees'.

Provides the reference and principles for writing and editing skills well - the vocabulary that makes a skill predictable. Use when creating, writing, editing, reviewing, or refactoring an agent skill.

Designs and reviews ArgoCD Applications, ApplicationSets, AppProjects, sync policies, and Argo Rollouts progressive delivery. Use when the task involves ArgoCD manifests, sync behavior, GitOps repo layout, or canary/blue-green rollouts. General Kubernetes and CI pipeline work bel

Designs and reviews AWS architecture, IAM, networking, and cloud cost. Use when the task involves AWS services, Terraform targeting AWS, a Well-Architected review, or AWS cost optimization. Not for GCP work (use GCP Expert); cross-provider IaC and pipeline concerns belong to DevO

Designs and reviews Node.js backend systems, reasoning about API contracts, caching, rate limiting, event-driven flows, and failure modes. Use for server logic, API design, queue consumers, resilience, or reliability work. Pairs with PostgreSQL Expert, who owns database internals

Threat-models code and architecture changes across trust boundaries, authn/authz flows, secrets handling, and injection surfaces, returning severity-ranked findings with concrete attack scenarios. Use when a change touches authentication, sessions, tokens, user-input processing,

Builds and reviews infrastructure-as-code, CI/CD pipelines, containers, and Kubernetes deployments. Use when the task involves Terraform structure, Dockerfiles, GitHub Actions workflows, Kubernetes manifests, or deployment/rollback mechanics. Provider-specific IAM and cost questi

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.

Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.

Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.

Get the Very Attacked People (VAP) report showing the most targeted users

Run the full billing-drift sweep for a billing period, formatted as a month-end reconciliation report

List upcoming contract and subscription renewals within a window, sorted by date

Run the license true-up reconciliation for one client or the whole portfolio

Search Freshdesk tickets with the Freshdesk query language — filter by status, priority, agent, group, type, tag, and date — and return a ranked, readable result list

Summarize a single Freshdesk ticket and its full conversation thread — the request, what has happened, current SLA state, and the recommended next action

Add an action (note, update, or response) to an existing HaloPSA ticket

Check contract status, service entitlements, and billing information for a client

Create a new service ticket in HaloPSA

Search the HaloPSA knowledge base for articles and solutions

Search for configuration items/assets by name, serial number, type, or client

Search for HaloPSA clients by name, domain, or other attributes

Search for tickets in HaloPSA by various criteria

Display comprehensive ticket information including history, actions, and related entities

View SLA status across tickets, including approaching breaches and at-risk tickets

Update fields on an existing HaloPSA ticket including status, priority, and assignment

Create a new deal in HubSpot with company association

Log a note or create a task on a HubSpot contact, company, or deal

Find a HubSpot company by name or domain and show associated contacts and deals

Summarize the HubSpot deal pipeline - deals per stage, total value, and expected close dates

AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.

嘉立创EDA专业版(EasyEDA Pro)自动化：给 AI harness 装上画板的「手」—— 一套 typed 原理图/PCB 动作，CLI / Agent Skill / stdio MCP 三形态融合接入。承接嘉立创「不以卖板赚钱，以培养中国工程师为己任」 | EasyEDA Pro automation:…

Claude Code session log viewer for JSONL files in ~/.claude/projects. Browse conversations, tool calls, tokens, and live tail sessions on desktop, web, and TUI.

Shared memory MCP server — persistent, searchable, cross-client Claude, Opencode

OpenAI Codex CLI session log viewer for JSONL files in ~/.codex/sessions. Browse conversations, tool calls, tokens, collaboration chains, and live sessions on d…

High-performance Google Drive CLI and Model Context Protocol (MCP) Server for LLM/AI agents. Natively execute Google Apps Script (GAS) under a secure whiteliste…

"Vibe-Trading: Your Personal Trading Agent"

Local-first chat history analyzer with AI. | 本地优先的 AI 聊天记录分析工具

Official Oxylabs MCP integration

Persistent memory for Claude Code & Codex CLI. Auto-extracted knowledge graph, multi-representation embeddings, 3D WebGL visualization. LongMemEval R@5=97.45%.…

One person, a team of agents. Multi-session CLI that collaborates across terminals; /goal keeps long tasks running; WeChat/WeCom/Feishu gateway lets you call th…

AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识。

Self-hosted, open-source agent skill registry for enterprises. Publish & version skill packages, govern with RBAC and audit logs, deploy on-premise with Docke…

深度调研报告生成 Skill — 一条命令，十分钟出券商级深度调研报告 / Professional deep research report generation Skill · Supports 19 languages

The OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Plugin, agent skills, and a GitHub Action.

Autonomous AI pentesting agents — real-time reconnaissance, vulnerability detection, and exploitation orchestration. Go + TypeScript.

Native macOS and iOS App for the Hermes AI agent — multi-window, multi-server (local + remote over SSH). Chat, dashboard, sessions, memory, cron, MCP, and more.

Multiplayer Claude Code and Codex. Self-hosted team workspace for Claude Code and Codex. Multi-user, browser-based, AI mates with memory.

Every past session, subagent, and workflow -- queryable by your agent, browsable by you

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