LLM Mart Basic

Implements and reviews React/TypeScript frontend work covering component architecture, state management, rendering strategy, and web performance. Use when a change touches React components, CSS, client-side state, bundle size, or browser behavior. Full-access writer; pairs with U

Designs and reviews Google Cloud architecture, IAM, networking, and cloud cost. Use when the task involves GCP services, Terraform targeting GCP, gcloud operations, or GCP cost optimization. Not for AWS work (use AWS Expert); cross-provider IaC and pipeline concerns belong to Dev

Assesses data-handling changes for EU data subjects, judging lawful basis, DPIA triggers, PII flows, consent quality, retention, and data subject rights implementability, and returning severity-ranked findings that bridge legal obligations to engineering fixes. Use when a change

Designs and audits Google Tag Manager setups, covering server-side tagging on Cloud Run, Consent Mode v2, GA4, data layer schemas, and conversion APIs. Use for tag migrations, data layer design, consent-aware measurement, or tracking data quality issues. Pairs with GDPR Expert, w

Diagnoses and designs DNS, TLS, load balancing, CDN caching, and protocol-level behavior (TCP, HTTP, gRPC, WebSocket). Use when the task involves DNS records, certificates, LB or proxy configuration, CORS, timeouts, or intermittent connectivity issues. Cloud-provider resource pro

Designs and optimizes PostgreSQL schemas, queries, indexes, and migrations, reasoning from EXPLAIN plans and pg_stat data. Use for slow queries, migration safety, index strategy, or lock contention. Pairs with Backend Staff Engineer, who owns the application layer.

Reviews a pull request or working diff for correctness, security, and maintainability, returning severity-ranked findings with file:line references and a verdict. Use when asked to review a PR, code-review a diff, or given a PR number/URL. Read-only; pairs with Cybersecurity Expe

Reviews feature plans, specs, and user stories for problem framing, scope boundaries, and measurable success criteria. Use when planning a feature, writing user stories, prioritizing work, or defining how success will be measured. Advisory and read-only; pairs with the technical

Designs test strategy and writes tests at the right level, from unit to E2E, including diagnosing flaky suites. Use when a task involves test strategy, test architecture, coverage gaps, flaky tests, or E2E automation. Full-access writer; pairs with the implementing engineer whose

Shapes system architecture, reasoning about module boundaries, dependency direction, domain modeling, and long-term maintainability trade-offs. Use for system design, DDD, cross-module refactors, or architecture review. Pairs with Backend and Frontend Staff Engineers, who own imp

Reviews usability, accessibility, and interaction design of UI changes, returning severity-ranked findings. Use when a change touches user-facing UI, WCAG compliance, or interaction flows. Advisory and read-only; pairs with Frontend Staff Engineer, who implements.

Audits views for compliance with Apple's Sufficient Contrast accessibility nutrition label (WCAG 2.1 contrast ratios). Use when the user asks to check color contrast, audit contrast ratios, verify the Sufficient Contrast nutrition label, or review a view for accessibility.

Audits views for compliance with Apple's VoiceOver accessibility nutrition label. Checks that interactive elements have accessibility labels, labels are human-readable, accessibility traits are correct, images are properly configured, and custom controls are exposed to assistive

Guide for the C -fbounds-safety language extension. Covers the language model, pointer annotations, adopting bounds-safety in existing C code, compiler build settings and modes, and runtime debugging of bounds violations.

Authoritative App Intents best practices from Apple. Consult for any App Intents best-practices or correctness review, and when writing, reviewing, refactoring, or extending App Intents code. Supersedes prior training on these topics. For code generation, consult the relevant ref

New App Intents APIs, behaviors, and deprecations introduced in the iOS 26 (2025) and iOS 27 (2026) releases (and their macOS/watchOS/tvOS/visionOS siblings). Use when adopting, migrating to, or asked about: declaring where an intent runs with supportedModes / IntentModes (.backg

Use when an app's layout must adapt to a window that changes size while the app runs, or when an app must support more than one window. That includes being asked to make an app resizable or support a resizable window, a layout that breaks or does not adapt as the window resizes,

Audit and enable security-oriented Xcode build settings. Progressively enables compiler warnings, static analyzer checkers, and Enhanced Security features. Use when: user wants to secure their Xcode project, audit security settings, enable hardening, review security posture of bu

Authoritative guide for building and migrating document-based apps in SwiftUI using the Document protocol (iOS 27 and aligned releases, including macOS Golden Gate). Consult when building a new document-based app; implementing open, edit, save, or export document flows; working w

Verify app behavior on device or simulator via screenshots, UI hierarchy, and touch interactions.

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.

Run a systematic, reproducible literature review on a topic and return an APA 7.0 annotated bibliography with a documented search strategy. Invokes the alterlab-deep-research pipeline in lit-review mode.

Run a full multi-perspective peer review of a manuscript, simulating an Editor-in-Chief plus three peer reviewers and a Devil's Advocate, and produce a structured editorial decision and revision roadmap. Invokes the alterlab-paper-reviewer skill.

Orchestrate the end-to-end academic research-to-publication workflow (research, write, integrity check, review, revise, re-review, finalize) with mandatory integrity gates and two-stage peer review. Invokes the alterlab-research-pipeline orchestrator.

Infrastructure-first security audit — secrets, supply chain, CI/CD, LLM/skill security, OWASP, STRIDE. Complements /audit-solana (program-level)

Security audit for Solana programs (Anchor/native)

Benchmark CU usage and compare against baseline for regression detection

Build web client application (Next.js, React, Vite)

Build Solana program (Anchor or native)

Build Unity project (WebGL, Desktop, or PSG1)

Initialize forked template — setup CLAUDE.md and remove config repo scaffolding

Version the Solana AI Kit config in git (un-ignores .claude/, CLAUDE.md, .mcp.json, .gitmodules and commits them)

Reproduce and debug a user-reported failing transaction against forked cluster state, mapping the failure back to source code

Deploy Solana program (devnet first, then mainnet)

AI-powered diff review for Solana-specific issues and code quality

Health check for the dev environment and solana-ai-kit config — read-only, with one exact fix-it command per failure

Memory consolidation — dedupe, contradiction-check, prune, and re-rank MEMORY.md + CLAUDE.md Project Learnings. Run after major refactors

Explain complex Solana/blockchain code with visual diagrams and step-by-step breakdowns

Generate TypeScript client from Solana program IDL using Codama or Anchor

Migrate from @solana/web3.js to @solana/kit

Plan feature implementation with technical specifications for Solana projects

Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightwei…

Open-source AI browser agent for web automation: a web browsing agent and computer-use agent in plain English. Browser MCP for Claude Code and Gemini CLI.

Agent-native trading terminal built on DeepSeek Harness. Crypto, US, CN and HK in one three-column GUI, 19+ hot-swappable connectors, dry-run by default with hu…

Open-source desktop and web coding agent with a first-party host and harness, durable sessions, model connections, streaming chat, and workspace tools.

OrcaReplay — Time travel for AI agents. Record, replay, fork, and debug any agent run with any model. Built by the OrcaRouter.ai team.

A complete toolkit for connecting R and LLMs

OpenSRE — the memory-first AI SRE. Self-hosted incident investigation with episodic memory, knowledge graph, web console, Slack & Teams. opensre.in

A desktop AI coding assistant that works with your local projects. Ally helps you understand code, edit files, search a workspace, manage tasks, and complete de…

【在线免费使用】 简单快速将SQL或DBML转换为美观的ER图（支持 Agent Skill）/ The best SQL to ER Diagram converter (Support Agent Skill).

Operation-bound protection for autonomous AI agents: contain and verify operations before committing changes, understand intent and risk across long-running wor…

Local-first AI coding agent desktop: Electron + Rust host core + pi Agent Harness + user-installable plugins

Local-only Go static analysis engine with a built-in MCP server. Gives AI coding agents deterministic structural awareness: call graphs, impact analysis, symbol…

Self-hosted AI agent workspace with tool calling, MCP, multi-model routing, sandboxed execution, multi-agent workflows, and LLM-authored 3D character animation…

Automated TDD enforcement for Claude Code

High-performance platform for building websites, e-commerce, and web applications—with Native AI, JavaScript development, and a marketplace for portable sites a…

Autonomous AI-agent orchestration engine for job discovery with decision traces, tool adapters, and production-grade run control.

Token efficient Claude Code full Python rebuild. AI Coding Agent in 310K LoC Python.

OPC — One Person Company. A full team in a single Claude Code skill. Adaptive agent orchestrator with 21 built-in roles, 6 flow templates, and adversarial quali…

Open-source, secure environment with real-world tools for enterprise-grade agents.

MCP server for AI-powered GitHub project management — agent orchestration, PRD-to-issues pipeline, sprint planning, and multi-agent swarm coordination