LLM Mart Basic

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

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

A green PR, a controller reporting success, and not one line of the new code running

List recent meetings and voice memos. Use when the user asks "what meetings did I have", "show my recent recordings", "any meetings today", "list my voice memos", or wants an overview of their meeting history. Also use when they need to find a specific meeting by browsing rather than searching.

Act as the user's live meeting sidekick inside the current terminal agent session. Use when the user explicitly asks you, the terminal agent, to watch a meeting, follow the live transcript, answer during the call, offer strategist thoughts, silently watch for risks, or track decisions. Do not use this skill to start or control the separate Minutes Coach HUD; explicit Coach or HUD lifecycle requests belong to minutes-copilot, and an ambiguous request such as "coach me live" requires one short surface clarification.

Self-coaching analysis of your own behavior across meetings — talk-time ratio, filler words, hedging language, monologue length, energy patterns, and (when meetings are tagged via /minutes-tag) what your behavior in winning meetings looks like vs losing ones. Use this whenever the user says "how did I do", "review my last meeting", "mirror", "self-review", "show my patterns", "coach me", "where am I weak", "talk time", "am I improving", "what do I do in meetings I win", "feedback on me", or asks for any kind of personal feedback on their own meeting behavior. This is the rare skill that gives the user a mirror to their own habits — surface it whenever they show curiosity about their own performance, even if they don't use the word "mirror".

Add a note to the current recording or annotate a past meeting. Use whenever the user says "note that", "remember this", "mark this as important", "add a note about", "annotate the meeting", or wants to capture a thought during or after a recording. Plain text input — no markdown needed.

Interactive meeting preparation — builds a relationship brief and talking points before a call. Use when the user says "prep me for my call with", "I'm meeting with X", "prepare me for", "what should I bring up with", "meeting prep", "get ready for my call", or wants to review history with someone before a meeting.

Generate a daily digest of today's policy-authorized meetings and voice memos — key decisions, action items, and themes across available recordings. Use when the user asks "recap my day", "what happened in my meetings today", "daily summary", "what did I discuss today", "any action items from today", or wants a consolidated view of the day's conversations.

Start or stop recording a meeting, call, or voice memo. Use this whenever the user says "record", "start recording", "capture this meeting", "stop recording", "I'm in a meeting", "take notes on this call", or wants to transcribe live audio. Also use when they ask about recording status or want to know if something is being recorded.

Draft user-facing Minutes release notes for a version from the commit range, recent GitHub releases, and the repository release checks. Use when the user asks to write, generate, prepare, revise, or review release notes or a changelog for a Minutes version.

Search past meeting transcripts and voice memos for specific topics, people, decisions, or ideas. Use this whenever the user asks "what did we discuss about X", "find that meeting where we talked about Y", "what did Alex say", "did we decide on", "what was that idea about", or any question that could be answered by searching their meeting history. Also use for "do I have any notes about" or "check my meetings for".

Guided first-time setup for Minutes — download whisper model, create directories, configure audio input. Use when the user says "set up minutes", "install minutes", "first time setup", "configure minutes", "get started with minutes", "how do I start using minutes", or when verify shows missing components.

Lightweight outcome tagging for meetings — won, lost, stalled, great, or noise. Use whenever the user says "tag this meeting", "mark that as a win", "that one was a loss", "tag yesterday's call as stalled", "mark this great", "that meeting was noise", "label that meeting", or any time they describe a meeting outcome in passing. Tagging takes 5 seconds and unlocks /minutes-mirror correlation analysis — the more meetings get tagged, the smarter mirror gets at telling the user what behavior patterns lead to wins. Surface this skill any time the user mentions a meeting result, win, loss, or wasted time.

Verify that Minutes is properly set up and working — model downloaded, mic accessible, directories exist, no stale state. Use when the user says "is minutes working", "check my setup", "verify minutes", "test recording setup", "why isn't minutes working", "minutes health check", or after running setup for the first time.

Analyze a product walkthrough, bug report video, Loom, or ScreenPal using Minutes transcription plus visual review. Use when the user wants a recorded demo or bug clip turned into a durable brief with transcript, key frames, issues, and next steps.

Weekly meeting synthesis — themes, decision arcs, stale commitments, and what deserves your attention next week. Use when the user says "weekly review", "what happened this week", "weekly summary", "recap my week", "any outstanding items", "week in review", or at the end of a work week.

Fast non-interactive briefing before any meeting — auto-detects your next calendar event, pulls relationship history, surfaces open commitments, and produces a one-page brief in under 30 seconds. Use this whenever the user says "brief me", "give me a quick brief", "what's coming up", "background on my next call", "who am I meeting next", "brief me on Sarah", "I have a call in 10 min", "quick rundown", or right before walking into a meeting. Different from /minutes-prep — brief is the fast hook-fireable version that doesn't ask questions and doesn't set goals. Use brief when speed matters; use prep when the user wants to think hard about goals first.

Manage old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting storage", or asks about disk space from minutes.

Start and control Minutes Coach, the separate real-time copilot HUD, with an explicit meeting goal. Use only for explicit Coach or HUD lifecycle requests such as "start Minutes Coach", "open the Coach HUD", "pause Minutes Coach", "resume Minutes Coach", "Minutes Coach status", or "stop Minutes Coach". Do not use for requests that explicitly ask the current terminal agent to watch or strategize; those belong to minutes-live-sidekick. An ambiguous request such as "coach me live" requires one short surface clarification and must not automatically start Coach.

Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Use when the user says "debrief", "what just happened in that meeting", "what did we decide", "debrief that call", "post-meeting", "what changed", or right after stopping a recording.

Policy-safe relationship rankings, commitments, aliases, person profiles, and topic research. Always use Minutes' bounded native CLI surfaces; never build or read a durable graph cache.

Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.