LLM Mart Basic

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

Statically review SvelteKit form actions, load functions, hooks, and templates for CSRF origin-check bypass (checkOrigin/trustedOrigins), unauthenticated sensitive-data returns from load(), auth guards confined to +layout.server.js without an enforced parent()/hooks check, insecu

Statically review SvelteKit forms and form actions for functional resilience without JavaScript (native method="POST" fallback) and for use:enhance customization correctness (ActionResult branch handling, cancel() feedback, redirect/invalidation behavior), flagging silent-failure

Statically review SvelteKit route files (+page.js, +page.server.js, +layout.js, +layout.server.js, +server.ts) to verify universal-vs-server load placement, catching server-only secrets, database clients, or privileged API access that would leak into or execute inside the browser

Verifies that a bundler's tree-shaking actually eliminated dead code by inspecting output bytes and sideEffects/module-format configuration, rather than trusting a clean build as proof of elimination.

Review TypeScript diffs and tsconfig strictness posture for sound type contracts — auditing any/assertion usage at trust boundaries, unsound narrowing, and exported public-API type-surface breakage — so that a passing compile is meaningful evidence rather than a decorative pass,

Reviews Storybook visual-testing setup -- test-runner wiring, Chromatic integration, and the a11y addon's axe-core gating -- to ensure visually-critical components have deterministic pixel-diff and accessibility coverage before merge, grounded in current Storybook docs.

Statically review Vue 3 Composition API code — composable extraction quality, reactivity-boundary correctness (ref/reactive/computed usage, destructuring-loses-reactivity pitfalls), and script-setup component organization — against Vue's own documented composable conventions and

Statically review Vue Router navigation guards, redirect flows, and template bindings for client-side guards used as the sole authorization boundary, open redirects via route.query.redirect/returnUrl, javascript:/data: scheme injection through dynamic :to/:href bindings, route pa

Statically review Vue 3 SSR entry points and templates for cross-request state pollution (module-scope reactive state, non-per-request app/store creation) and injection via unsanitized v-html or unvalidated dynamic href/src bindings, grounded in Vue's own SSR and security-best-pr

Statically review Pinia and legacy Vuex state stores for sensitive data persisted to localStorage/sessionStorage without scoping, untrusted server-payload hydration (window.__pinia/__INITIAL_STATE__) with un-escaped state serialization, SSR store-singleton cross-request pollution

Audit frontend markup, components, and design-system primitives against WCAG 2.2 Level A/AA success criteria and ARIA APG interaction patterns, separating automated-detectable violations from manual-verification-required items and flagging legal exposure, with reference material

Design and build AI-powered applications on AlloyDB for PostgreSQL using AlloyDB AI — covering vector search, hybrid search (vector + full-text), AI SQL functions (ai_generate, ai_classify, ai_score, ai_embed), model endpoint management, and the AlloyDB Omni edge runtime. Prefer

Operate AlloyDB clusters and Cloud SQL instances — HA configuration, read replicas, connection pooling, maintenance windows, backup strategy, and performance diagnostics.

Design and operate Anthos / GKE Enterprise fleet management, Config Management (GitOps with Policy Controller), multi-cloud Kubernetes across GCP, AWS, and Azure.

Design and operate Apigee X API proxies — rate limiting, OAuth/JWT security policies, quota plans, developer portal setup, and API product management.

Analyze BigQuery slot reservation sizing, BI Engine acceleration, query cost estimation, dataset governance (expiration, access controls), and partitioning/clustering optimization to reduce on-demand scan costs.

Review GCP Certificate Manager and classic Google-managed TLS certificates — certificate map configuration, DNS authorization, CAA record validation, certificate rotation automation, wildcard vs SAN design, and expiry monitoring.

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.

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