LLM Mart Basic

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

Audit frontend code for internationalization readiness — externalized ICU MessageFormat strings, Intl-based date/number/currency/plural formatting, correct lang/dir attribute propagation, and RTL-safe CSS logical properties — before translation vendor engagement, with CLDR plural

Review JavaScript/TypeScript for event-loop and microtask/macrotask ordering correctness, unhandled Promise rejection paths, DOM event-listener and timer cleanup, and race-condition risk in rapid-repeated-async UI patterns, tracing actual browser scheduling semantics rather than

Inventory the hidden behaviors in a legacy jQuery/Backbone-era codebase — implicit global event delegation, direct DOM mutation outside any render cycle, plugin side effects, ad-hoc accessibility shims, and unsanitized HTML string building — that a mechanical framework port would

Reviews micro-frontend/module-federation boundary contracts for shared-dependency versioning safety, runtime isolation, and ownership clarity before adoption or extension of a distributed frontend architecture.

Reviews monorepo task-graph configuration (Turborepo tasks/caching, Nx task pipelines) alongside dependency and lockfile governance (pnpm catalogs, npm overrides, lifecycle-script risk) to prevent false-green CI from stale cache reuse and unpinned supply-chain exposure.

Statically review Next.js App Router Server/Client Component boundaries and Server Action data mutations for correct data-fetching placement, bundle-leak risk, and authorization-trust integrity, escalating client-trusted authorization to a security finding rather than a style not

Statically review Next.js App Router route segments and fetch() calls for rendering-mode (static/ISR/dynamic) and Data-Cache misconfiguration, escalating cross-user data leakage to a security finding rather than a performance nit.

Statically review Next.js middleware, Server Actions, next.config.js, and environment-variable files for four documented server-side defect classes -- middleware matcher exclusions that silently skip auth on Server Functions, Server Actions missing allowedOrigins CSRF protection,

Statically review Nuxt 3/4 full-stack code for private secrets exposed via runtimeConfig.public/NUXT_PUBLIC_* env vars, useState/module-scope cross-request state pollution in Nitro, server-route SSRF via $fetch/ofetch with blind useRequestHeaders/credential forwarding, NuxtPayloa

Statically review payment-page frontend code for PCI-DSS-relevant defects in the browser/DOM slice only — raw PAN collection in self-controlled inputs instead of Stripe hosted fields, card data persisted client-side or to analytics, raw card data POSTed to a first-party endpoint,

Review frontend analytics instrumentation and A/B or multivariate experiment configurations for event-schema correctness, sample-ratio-mismatch risk, statistically valid stopping rules, and consent-gated privacy compliance before shipping a tracking or experiment change.

Validates installability against W3C manifest criteria and tests real offline navigation behavior end to end, rejecting a manifest-schema-valid but practically non-installable or non-functional-offline PWA.

Statically review React component trees for composition, prop-interface, and state-placement defects (God-components, prop drilling, overbroad context, hook-rule violations) against React's own composition guidance, producing ranked file:line findings.

Statically review React Server Components code for data leaks across the server-to-client serialization boundary — secrets passed as props to Client Components, server-only modules missing the `server-only` guard, `use server` actions with no authorization check, non-public envir

Statically review useState/useEffect/useReducer call sites against React's documented "You Might Not Need an Effect" anti-pattern catalog, plus race-condition and stale-closure detection via dependency-array and cleanup-function analysis, producing ranked file:line findings.

Reviews route-tree structure, loader/action placement, code-splitting boundaries, and navigation-blocking/focus-management behavior in React Router and Next.js applications for correctness, server-side security enforcement, and accessibility conformance on route transitions.

Reviews service-worker route-matching and caching-strategy choices (precache vs. cache-first vs. network-first vs. stale-while-revalidate) against request type and security sensitivity, rejecting uniform blanket strategies and flagging authenticated/PII responses cached in the Ca

Diagnoses hydration-mismatch errors and streaming/Suspense-boundary structural issues to their specific root cause — non-deterministic rendering source, missing error boundary, serial data-fetch waterfall, or premature auth-unchecked streaming — grounded in the exact React/Next.j

Reviews whether data is correctly classified as server state, client state, or derived state, and whether the resulting store/cache design (query keys, invalidation, optimistic-update rollback, SSR instantiation, selector shape) avoids duplication, stale-data bugs, and unnecessar

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.

Iniciar planificación de archivos estilo Manus. Crear task_plan.md, findings.md, progress.md para tareas complejas.

Bridge Claude Code's /goal to the active plan. Derives a goal condition from task_plan.md and invokes /goal so Claude keeps working until the plan is complete. Available since v2.38.0.

Run a planning-aware cadence with Claude Code's /loop. Default tick checks plan status, runs check-complete, nudges progress.md update if stalled. Available since v2.38.0.

启动 Manus 风格的文件规划。为复杂任务创建 task_plan.md、findings.md、progress.md。

啟動 Manus 風格的檔案規劃。為複雜任務建立 task_plan.md、findings.md、progress.md。

Start Manus-style file-based planning. Creates task_plan.md, findings.md, progress.md for complex tasks.

Short alias for /plan. Starts Manus-style file-based planning: task_plan.md, findings.md, progress.md. Available since v3.0.0.

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls. Now with automatic session recovery after /clear

Show current planning status at a glance - phases, progress, and any logged errors.

Run three-agent adversarial analysis -- advocate builds the case, adversary challenges it, judicial analyst synthesizes

Structured pre-execution briefing session -- collects case context through specialist panel, builds execution plan, supports resume and depth control

Analyze cantonal law for all 26 Swiss cantons -- cantonal court decisions, cantonal legislation, procedural specifics, and interaction with federal law

Validate, format, and look up Swiss legal citations including BGE/ATF/DTF decisions and statutory references

Create a reusable custom workflow by combining BetterCallClaude agents. Interview-based: pick agents, order them, define the output. Saved for future use with /bettercallclaude:workflow.

Analyze Swiss legal documents -- identify legal issues, extract key clauses, verify citations, and assess compliance

Diagnose MCP server connectivity — tests each server, reports status and impact in plain language, suggests fixes for issues.

Draft Swiss legal documents including contracts (OR), court submissions (ZPO), and legal opinions (Gutachten) with multi-lingual support

Force Federal Law Mode for Swiss federal legal analysis, overriding cantonal auto-detection

Show complete BetterCallClaude command reference, available agents, skills, and usage examples

Execute the BetterCallClaude 5-step Swiss legal framework: intake → research → strategy → adversarial → draft. A complete end-to-end pipeline for any Swiss legal matter, from document analysis through final legal output.

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…

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…

Persistent memory for AI coding agents — one verified kb_search replaces the grep/find/ls orientation loop. Cross-repo, CPU-only, zero token spend.

AI 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…

The batteries-included, No-Code FinOps automation platform, with the AI you trust.

Open-source 3D AI agent framework — GLB/glTF avatars with LLM brains, memory, emotions, and autonomous payments. MCP server · x402 · Solana/EVM · Three.js. Embe…

XLSX parser for LLMs, RAG, LangChain, LangGraph, CrewAI, Claude, MCP — turns Excel (.xlsx) into citation-ready JSON with formulas, charts, dependency graphs, an…

Hermes-Relay — Your Hermes AI agent, in your pocket — chat, voice, and control.

A minimalist, terminal-native coding agent written in C.

AI-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.

AI pair programming in your terminal — one static binary, sub-ms startup, any model

Where data access meets operational intelligence

Build 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…

Multi-workspace terminal aggregator with Claude Code AI integration

Go implementation of AI coding agent

Harness engineering beginner tutorial, from 0 to 1

Generate images directly in DeepSeek Harness chats

A smarter, self-hosted AI assistant — multi-user, multi-agent.

Turn any research paper into a commercialization report — 6 AI agents, TRL/MRL scoring, patent landscape, market intelligence, verified citations. DeepSeek / Op…

Power BI CLI - semantic models (.NET TOM) and PBIR reports for token-efficient AI agent usage, built for Claude Code