LLM Mart Basic

Reviews Vite and Webpack build/chunking configuration and bundle-size composition for duplicate dependencies, unsplit vendor chunks, and tree-shaking failures, always version-labeling config since Vite 8 replaced Rollup-era manualChunks with Rolldown-based codeSplitting.

Reviews JavaScript/CSS bundle composition against explicit numeric budgets, evaluates route- and component-level code-splitting boundaries, and requires a CI-enforced budget before endorsing any size fix as resolved.

Review page-load resource sequencing, render-blocking CSS/JS, layout-shift sources, and Core Web Vitals (LCP/CLS/INP) budget adherence against the critical rendering path model, explicitly separating lab/synthetic measurement (Lighthouse) from field/real-user measurement (CrUX/RU

Review CSS for specificity and cascade-layer discipline, design-token (custom-property) conformance, and responsive strategy correctness (container queries vs. media queries), catching specificity wars, hardcoded-value token drift, and non-reflowing layouts that fail WCAG 1.4.10/

Reviews design-token source of truth and build pipelines for hardcoded-value drift and resolved WCAG 1.4.3/1.4.11 contrast compliance across theme variants (light, dark, high-contrast), grounded in the W3C Design Tokens format and current WCAG success criteria.

Reviews Playwright end-to-end test configuration -- fixtures, storageState/auth setup, CI sharding and parallelism, and toHaveScreenshot visual-assertion options -- for reliability and correct gating, grounded in current, version-specific Playwright API docs.

Statically review Next.js App Router caching surfaces -- route-level revalidate exports, cache-boundary directives on server functions reading cookies(), generateStaticParams on personalized routes, and Cache-Control/Vary response headers -- for defects that let one user's authen

Assess breaking-change and regression risk for a same-framework major-version upgrade (React, Next.js, Angular, Vue, or core build tooling), grounding every claimed breaking change in the framework's official release notes/migration guide, and separate upgrade-blocking issues fro

Review client-side authentication and session-management code for token-storage location, cookie-flag correctness, CSRF/open-redirect exposure, and OAuth/OIDC flow choice for browser-based apps against OWASP ASVS and Session Management Cheat Sheet guidance, with the OAuth-for-bro

Determines and reviews whether aggregation/shaping logic belongs in a Backend-for-Frontend layer versus client-side composition, and audits existing BFF boundaries for scope creep, duplicated aggregation logic, and leaked backend topology or pass-through authorization.

Sequence frontend specialist and red-team reviews for the 10 governed workflows (new feature, perf regression, a11y audit, security review, SSR/hydration bug, design-system change, framework migration, AI-generated code review, production incident, CWV failure) and issue a bindin

Review frontend source for DOM XSS sinks (innerHTML, dangerouslySetInnerHTML, v-html, document.write, eval-class APIs), verify actual attacker-reachable taint flow, and audit Content-Security-Policy and Trusted Types enforcement for real bypasses rather than header-presence check

Build a cost-to-serve model covering CDN egress, SSR/edge compute, image transformation, and CI build-minute spend for a frontend surface, and rank remediation options by dollar savings weighed against Core Web Vitals and security impact, without treating cost-cutting and securit

Route frontend governance tasks to the narrowest specialist or parallel team (max 4) from the frontend agent catalog. Use when you do not already know which frontend specialist handles the task. Not for direct frontend answers; Maestro classifies, dispatches, and hands off to fro

Build a phased, reversible plan to migrate or modernize a legacy frontend surface (jQuery/Backbone/AngularJS to a modern framework, CRA/Webpack to Vite, or a same-framework major-version bump) using strangler-fig sequencing with measurable exit criteria per phase, without default

Design or review browser-side Real User Monitoring instrumentation for Core Web Vitals (LCP, INP, CLS) using the web-vitals attribution build and distributed tracing via OpenTelemetry Web, enforcing lab-vs-field evidence labeling, sampling/cardinality sizing, and PII-in-telemetry

Reviews cross-cutting frontend architecture decisions (module boundaries, rendering topology, technology adoption) against a rewrite-averse, evidence-grounded standard before they are approved, producing an ADR-quality verdict rather than a stylistic opinion.

Reviews frontend test-pyramid shape, critical-path coverage, and flaky-test governance across unit, component, integration, and E2E layers (Vitest/Jest, Testing Library, Playwright/Cypress), loading framework references only when the task needs them.

Statically review GraphQL client configuration (Apollo Client, and urql/similar clients by analogy) for production-enabled devtools/introspection exposure, a normalized cache left uncleared across user sessions, missing persisted-query allowlisting against client-driven query abu

Review HTML markup and rendered DOM structure for correct native-element usage, valid heading/landmark hierarchy, and WAI-ARIA APG-conformant custom-widget patterns; produce a WCAG 2.2-grounded verdict with APG pattern citations for every custom interactive control, flagging anyt

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.

Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.

Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.

Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.

Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.

A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.

Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.

Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.

AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.

AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.

A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.

One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.

"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.

A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.

The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.

Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.

Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.

Discover testnet↔mainnet subnet lineage from repo configs and open a PR for review (pass --dry-run to report only)

Triage raw inbox notes into reviewed repository destinations without deleting their sources.

Audit and rewrite content to remove AI writing patterns

Log a completed piece of content to content/log.md after the user confirms it was published.

Validate a dream artifact, review each proposal, and apply only individually accepted changes.

Run a curator pass against the validated memory directory and produce a proposal artifact.

End a session — log what happened, update state and the decision log, propose memory updates, and check for uncommitted or unpushed work

Find relevant context files by topic. Use when you need to load files for a topic without a slash command, or when a task spans multiple domains.

Inventory and migrate selected Gemini CLI workflows with dry-run review and parity checks.

Find repeated workflows in selected Gemini CLI sessions and draft portable skills after review.

Scan multi-session drift and offer individually reviewed fixes only after explicit approval.

Scan orphaned worktrees and stale branches, then offer explicit approval-gated cleanup.

Guided onboarding or import for durable workspace context

Start a session — load state files, flag staleness, and give a briefing on current priorities, deadlines, and blockers

Create a morning heartbeat from repository state and update the local heartbeat log.

Mid-session checkpoint — append progress to today's session log and update state files if a priority shifted, without ending the session

Maintainer-only. Find every file that would newly ship to adopters, classify each one against the written distribution-boundary categories, default to withhold on no clean match, and ask the maintainer only where the taxonomy does not settle it. Drives the release CLI, which refuses to produce a manifest until every shipping file has an answer.

Audit memory, wiki, and auto-loaded files for duplication, conflicting instructions, and stale content. The default path researches, then asks you a single Apply / Discuss / Decline question; on Apply it applies the report, files any out-of-scope problem as a tech-debt issue, then commits, opens a PR, and merges it on a main-branch run like /update-deps. Pass --apply to re-run the apply-and-publish stage against the most recent report.

Fix the tech-debt backlog, a single issue or a recommended related batch, highest severity then oldest first, on a fresh isolated branch through the audit gate, closing the issue(s) on merge. Pass `list` to see the ordered backlog, `why <issue-number>` to explain the recommendation, or a bare `<issue-number>` to fix that issue directly.

Health-check and auto-heal this project's Claude integration, triage, heal, verify, and report an F-to-A+ grade.

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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