LLM Mart Basic

Grill the user about a requirement, decision, or idea before implementation, then produce an actionable planning report without writing code. Use when the user wants to clarify requirements, stress-test an idea, compare approaches, or plan before coding.

Localization scope and AI-translation execution for Apple-platform Apps on `Localizable.xcstrings` — default locale set, source / primary language rule, per-locale review gotchas, completeness gates. Use when deciding which locales to ship at project setup; when adding or refresh

Use when preparing an App Store submission, reading an App Review rejection or Resolution Center message citing a guideline number (2.1, 2.3.x, 3.1.1, 4.3, 5.1.1, 5.1.2), or a privacy-manifest upload email (ITMS-91061 / ITMS-91056, missing required-reason API), or auditing an ads

Default minimum deployment target for Apple-platform Swift Apps — iOS 26 / macOS 26 on the Xcode 26 toolchain (Swift 6 language mode) — and how to deviate down (iOS 18 / 17) or up. Use when starting a new Apple-platform project, writing the Package.swift `platforms:` list, decidi

Use when a repo goes public or open-sources, when a CloudKit server-to-server PEM, ASC API `.p8`, APNs key, signing `.p12`, or provisioning profile first enters the pipeline, or when asked how to prevent or respond to a secret leak (gitleaks, lefthook, GitHub Secret Scanning, `gi

Choose analytics and metrics sources for a solo / small-team Apple app and decide whether a third-party tracking SDK is justified. Use when picking an analytics SDK; when asked "should I add Firebase / Mixpanel / Amplitude / TelemetryDeck"; when asked what App Store Connect Analy

Use when wiring a value that ships in the binary but must stay out of public-repo diffs until launch (AdMob `GADApplicationIdentifier` / banner unit ID, a third-party SDK app key) into an Apple build via xcconfig, Info.plist `$()` substitution and a guarded `Bundle.main` read, in

Committed `.ckdb` as the CloudKit schema source of truth, with `xcrun cktool` export / validate / import against Development and Production promotion kept as a Console-only gate. Use when a CloudKit-backed persistence layer adds or edits a record type, field, or index; before any

Wire and debug launch-the-app XCUITest E2E tests in a Tuist project: a native `.uiTests` target needs its own scheme with `testAction: .targets([...])`, not `.xctestplan` membership; a name that does not collide with an SPM UITests package target; window-frame-anchored clicks for

Audit an iOS/iPadOS app's live behavior on a booted Simulator by driving it with `idb` (accessibility tree, taps, screenshots) to find bugs a fixed-frame snapshot cannot show — navigation and modal flows, back-stack, completion screens, safe-area / Dynamic Island clipping, offlin

Implement and audit VoiceOver (`accessibilityLabel` / `Value` / `Hint`, traits, `accessibilityElement(children:)`, `AccessibilityNotification`), Dynamic Type (text styles, caps, AX5), 44pt touch targets, and Reduce Motion / Transparency for SwiftUI and UIKit, with a WCAG 2.2 mapp

Generate a single-file HTML iOS design mockup from a written spec (PRD / requirements / user stories) — a designer-style user-flow canvas: iPhone frames, SVG navigation arrows, a design-tokens panel. Use when asked to "turn this spec into a mockup", "show me the screens", "visual

Measure and fix iOS/macOS performance with Instruments (Time Profiler, Allocations, Hangs, App Launch), `xctrace` in CI, `OSSignposter`, MetricKit field telemetry (`MXMetricManager`, `MXHangDiagnostic`), `XCTMetric` baselines, launch time, memory footprint, binary size, and crash

Use when a build must reach TestFlight without Xcode Cloud (quota, outage, CI not wired yet), or when a local `xcodebuild archive` / `-exportArchive -exportOptionsPlist` / `xcrun altool --upload-package` command fails — `ExportOptions.plist` keys (`method`, `destination`, `teamID

Use when pinning binary CLI / build tools (swiftlint, xcbeautify, gitleaks, lefthook) with mise so dev machines and CI share one `.mise.toml` — choosing mise vs asdf / Homebrew / manual, writing `.mise.toml` (`aqua:` / `github:` backends, `os = ["macos"]` guards), running `mise t

Use when adding, upgrading, or auditing a third-party monetization SDK (AdMob / Google Mobile Ads incl. UMP consent; the same contract applies to any other ad or subscription SDK), or when a PR adds `import GoogleMobileAds` outside the single live-bridge file, breaks `canImport`

Set up logging for an Apple-platform Swift app with `os.Logger` and decide its `subsystem` / `category` naming and `privacy:` interpolation. Use when choosing a logging library (`os.Logger` vs swift-log `import Logging` vs CocoaLumberjack); when writing the first `Logger(subsyste

Default StoreKit 2 architecture for a single non-consumable IAP (Remove Ads, Pro Unlock): `StoreKitBridge` isolates `import StoreKit` to one Live file; launch-time `Transaction.updates`; `Transaction.currentEntitlements` for unlock state; `finish()` timing; `AppStore.sync()` rest

Design injectable seams so Swift services can be swapped for fakes in tests. Use when a type reaches for `URLSession.shared`, `Date()`, `UUID()`, `random(in:)` or a singleton; when asked "how do I inject CloudKit / network / clock" or "should this be a singleton"; when choosing c

Default test stack for new Apple-platform Swift projects — Swift Testing (`@Test` / `#expect`, no XCTest), pointfreeco/swift-snapshot-testing with baselines in git, CI policy for fakes (no live CKContainer / GKLocalPlayer / network in tests). Use when creating the first test targ

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.

CoalWash self-update — check for a newer version and offer to apply it, or set how updates are handled.

Create an AI skill from any source (URL, repo, PDF, video, notebook, etc.)

One-command skill creation and packaging for a target platform

Sync a scraping config's URLs against the live documentation site

Generate and run validation queries for the current change

Generate and run validation queries for the current change

Check code-intelligence prerequisites (ripgrep + a language server) and print install hints

Create space-efficient paper and proposal figures (HTML mockups, TikZ, or skia-canvas) from tool selection through LaTeX insertion

Design concise overview, mechanism, or workflow figures as editable PowerPoint objects

Run the implement-review staged-change review loop

Detect the work type (papers, proposals, code, figures, admin) and dispatch to the right domain skill

Run prun: parallel delegation fan-out on Agy workers (the session coordinates)

Audit a GitHub README and rewrite it with modern patterns for a scannable ten-second skim

Vet the staged change: run the implement-review review loop (short alias)

Create space-efficient paper and proposal figures (HTML mockups, TikZ, or skia-canvas) from tool selection through LaTeX insertion

Design concise overview, mechanism, or workflow figures as editable PowerPoint objects

Run the implement-review staged-change review loop

Detect the work type (papers, proposals, code, figures, admin) and dispatch to the right domain skill

Run prun: parallel delegation fan-out on Agy workers (the session coordinates)

Audit a GitHub README and rewrite it with modern patterns for a scannable ten-second skim

Conduit — native SwiftUI iOS client for Hermes Agent

一个现代化的可视化规则引擎平台，用于编排复杂的 AI 工作流。在无限画布上设计、测试和部署 AI 流程——无需编写代码。结合 flowgram.ai 的能力与 Java 服务端，提供生产级工作流管理。在此之上提供AI Agent / Copilot的助手编排能力。

Job application tracker and AI-powered job search assistant. Helps job seekers manage their search journey with AI resume review, job matching, task logging, an…

📝 Markdown and HTML renderer for Svelte 5 — built for streaming AI agent output from Claude Code, ChatGPT, and agentic workflows. XSS-safe defaults, token cach…

ServiceNow MCP server: 500+ tools and 26 AI capabilities for any AI (Claude, ChatGPT, Gemini, Cursor, Copilot). Multi-transport (stdio, SSE, HTTP), A2A, dynamic…

Free crypto news API - real-time aggregator for Bitcoin, Ethereum, DeFi, Solana & altcoins. No API key required. RSS/Atom feeds, JSON REST API, historical archi…

Build production-ready AI agents in both Python and Typescript.

From agent user to agent builder: build a Claude Code-style coding agent from scratch in Python: 8 articles, 4 videos, one codebase

🪁 A lightweight, modern Kubernetes dashboard that unifies multi-cluster and resource management, enterprise-grade user governance (OAuth, RBAC, and audit logs)…

Stateful runtime management for LLM agents—inject, manipulate, and retrieve Python objects across turns.

AgentCall lets AI Agents join meetings with voice, video & screen-share to build together. Supports Google Meet, Teams, Zoom (Beta)

Kition brings Markdown, DataTable, WhiteBoard, a tool-using AI agent, browser research, and visual workflows into one desktop workspace.

IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.

A powerful Model Context Protocol (MCP) server providing comprehensive Google Maps API integration with LLM processing capabilities.

Turn your Claude Pro/Max subscription into an OpenAI-compatible API for your IDEs and devices — LAN auth, per-key quotas, response cache, disciplined cli.js ali…

Paw Work - selection-first web agent for Chrome: select on the live page, describe the outcome, take away an editable office file. BYOK, sandboxed, no server.

基于 AI Agent + MCP 工具链 + 渗透 Skill 编排， 配合大语言模型， 自然语言输入 → 自动完成「信息收集 → 漏洞发现 → 漏洞利用 → 报告生成」全流程。

Lexora — Personal AI workspace built around Desktop / 以 Desktop 为核心的个人 AI 工作台

First AI Journey for DevOps - with comprehensive learning paths, practical tips, and enterprise guidelines

AI coding agent with one Python core and three front-ends — headless CLI, Textual TUI, and an Electron desktop. Works with any OpenAI-compatible API, with risk-…