LLM Mart Basic
@llm-mart · Joined Jun 2026
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
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.
/create-component
Create component
Guided component creation with proper patterns
/design-review
Design review
Review existing UI for issues and improvements
/design-system-setup
Design system setup
Initialize a design system with tokens
/test-generate
Test generate
Generate unit tests for Python, JavaScript/TypeScript, and React code with mocks, edge cases, and coverage gap analysis
/backlog-from-demo
Backlog from demo
Turn a recorded product demo into a prioritized backlog with timestamped evidence.
/bug
Bug
Turn one screen recording of a bug into an evidence-backed GitHub issue draft (quote, frames, OCR identifiers, wall-clock; silent recordings work too).
/correlate-with-logs
Correlate with logs
Walk a recording's remarks against system logs using wall-clock timestamps.
/meeting-actions
Meeting actions
Turn a recorded meeting (audio is enough) into action items, decisions, and open questions with timestamps.
/spec-from-workshop
Spec from workshop
Turn a recorded workshop or design walkthrough into a structured spec with quoted decisions and open questions.
/triage-recording
Triage recording
Turn a narrated screencast into precise, evidence-backed findings JSON (bug / feature / question routing with frame evidence).
/ai-governance
ai-governance
Generate and enforce policy gates for AI coding agents (Copilot, Claude Code) — real-time session hooks that deny protected-path edits and dangerous commands, plus a merge-time backstop for anything that bypasses them. Use when asked to "govern AI agents", "block AI from touching secrets", "add an AI policy gate", or "why did the AI agent hook not fire".
/pwf-status
Pwf status
Show the active planning-with-files plan (id, mode, attestation, current phase, phase counts)
/pwf
Pwf
Start planning-with-files (task_plan.md, findings.md, progress.md); flags --gated, --autonomous, --template analytics, then an optional plan name
/ad
Ad
Run a paid-ads (ROAS) workflow: audience segments, account structure, ad creative, experiment design, pre-launch signal QA + the account-audit gate, measurement, and attribution. Not sure? Use /aaron-marketing:auto.
/auto
Auto
Natural-language front door to the marketing pack (narrative/TALE, SEO/GEO/SITE, social/ECHO, email/SEND, Paid Ads/ROAS, influencer/STAR, launch/RAMP). Use when a marketing goal is open-ended or spans disciplines, when it is unclear which skill fits, or for requests like 'help with our marketing', 'grow our traffic', 'plan our launch', 'what should we post', 'is our messaging landing' — it infers the discipline and runs the smallest useful workflow. Add --deep for exhaustive, maximum-rigor, or stress-test runs.
/email
Email
Run an email-marketing (SEND) workflow: deliverability/consent setup, segmentation, email creative, lifecycle flows, newsletter monetization, send-testing, and the email-quality audit gate. Not sure? Use /aaron-marketing:auto.
/influencer
Influencer
Run an influencer-marketing (STAR) workflow: audience & creator scouting, campaign targeting, briefs, outreach, amplification, and ROI reporting. Not sure? Use /aaron-marketing:auto.
/launch
Launch
Run a product-launch (RAMP) workflow: positioning and launch tiering, window/early-access design, message house and asset kits, the launch-readiness gate with a T-1 go/no-go, launch-day execution, and the post-launch prove loop. Not sure? Use /aaron-marketing:auto.
/narrative
Narrative
Run a brand-narrative & messaging (TALE) workflow: trace the current message and positioning truth, architect the durable message house/voice/story canon, land it consistently across every surface, and evaluate resonance with tests and drift monitoring. Not sure? Use /aaron-marketing:auto.
/seo-geo
Seo geo
SEO/GEO end-to-end along the SITE loop: survey demand and competitors, implement content, tune quality/tech/on-page, and evaluate authority/rankings/reports/memory (--phase survey|implement|tune|evaluate). Not sure? Use /aaron-marketing:auto.
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…
12 views 0 likes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…
15 views 0 likesPersistent memory for AI coding agents — one verified kb_search replaces the grep/find/ls orientation loop. Cross-repo, CPU-only, zero token spend.
14 views 0 likesAI 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…
14 views 0 likesThe batteries-included, No-Code FinOps automation platform, with the AI you trust.
15 views 0 likesOpen-source 3D AI agent framework — GLB/glTF avatars with LLM brains, memory, emotions, and autonomous payments. MCP server · x402 · Solana/EVM · Three.js. Embe…
27 views 0 likesXLSX parser for LLMs, RAG, LangChain, LangGraph, CrewAI, Claude, MCP — turns Excel (.xlsx) into citation-ready JSON with formulas, charts, dependency graphs, an…
25 views 0 likesHermes-Relay — Your Hermes AI agent, in your pocket — chat, voice, and control.
15 views 0 likesA minimalist, terminal-native coding agent written in C.
14 views 0 likesAI-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.
12 views 0 likesAI pair programming in your terminal — one static binary, sub-ms startup, any model
12 views 0 likesWhere data access meets operational intelligence
12 views 0 likesBuild 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…
12 views 0 likesMulti-workspace terminal aggregator with Claude Code AI integration
16 views 0 likesGo implementation of AI coding agent
14 views 0 likesHarness engineering beginner tutorial, from 0 to 1
15 views 0 likesGenerate images directly in DeepSeek Harness chats
27 views 0 likesA smarter, self-hosted AI assistant — multi-user, multi-agent.
16 views 0 likesTurn any research paper into a commercialization report — 6 AI agents, TRL/MRL scoring, patent landscape, market intelligence, verified citations. DeepSeek / Op…
15 views 0 likesPower BI CLI - semantic models (.NET TOM) and PBIR reports for token-efficient AI agent usage, built for Claude Code
15 views 0 likes