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.

Periodic multi-reviewer sweep of the whole codebase — surfaces a triaged checkpoint report.

Sanctioned lane for non-behavioral work — docs-only edits, dependency bumps, reverts. Type-scaled gates; no TDD demanded of prose.

{{SKILL_ENTRY:post-merge-cleanup}}

Show the codeArbiter command catalog — the public command list and what each routes to.

{{SKILL_ENTRY:commit-gate}}

Stop everything and surface a rule conflict — persona vs. docs vs. code. Present both sides and the conflict-hierarchy level; the user resolves. No silent reconciliation.

{{SKILL_ENTRY:context-check}}

{{SKILL_ENTRY:context-creation}}

{{SKILL_ENTRY:debug}}

{{SKILL_ENTRY:decompose}}

Verify the active host install, package, command ownership, enforcement{{IF:pi}}, wrapper self-test, and active-dispatch coverage gap{{ELSE}}, and harmless live-fire probe{{END}}. Read-only.

Start a feature: brainstorm a spec, get it approved, then drive it test-first through the pipeline. The one entry to implementation.

Fix a confirmed bug: a failing regression test first, then a minimal fix, then the rest of the tdd gates.

Opt this repo into codeArbiter — scaffold the root-level .codearbiter/ state store.

Read-only 3-metric governance glance — override rate, small-lane rate, sprint low-confidence ratio — each with a trend arrow vs. the prior 20-commit window.

Sanctioned, logged bypass of a gate or hard rule — one audit line, then proceed.

{{SKILL_ENTRY:finishing-a-development-branch}}

Zero-onboarding, read-only dry-run of the reviewer fleet against the current uncommitted diff. Predicts reviewers, runs the state-free secret scan, writes nothing.

Trim transcript clutter to extend session lifetime — analyze, prune a copy, or toggle the after-each-turn service. Dry-run by default; gains land at resume/compaction, not the current turn.

{{SKILL_ENTRY:decision-variance}}

Persistent session memory for AI coding agents — local-first, with on-device inference, associative recall, and drift detection. Works with Claude Code, Cursor,…

Run Hermes Agent and OpenClaw on the same WeChat account

An AI co-scientist running on your desktop. Claude Science but better.

Emotion Ball 是一套面向 AI 助手的表情引擎:32 种状态表情全部由纯 SVG 与原生 JavaScript 实时驱动,零框架、零图片资源。AI 侧只需输出一个 emotionId,小球即可切换到对应表情,可直接用作聊天机器人、桌面宠物、悬浮助手的情绪表达层。

Agent communication SDK. The open-source agent communication layer for AI agents — email, WhatsApp, Slack, Discord, Telegram, SMS. Python & TypeScript.

The micro-VM for AI agents — light enough to embed on your laptop, elastic enough to power an agentic cloud.

Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.

Webhook integration skills for AI coding agents (Claude Code, Cursor, Copilot). Step-by-step guidance for setting up webhook receivers, signature verification,…

Token burn reducer and focus keeper for Claude Code, Codex, Copilot, Gemini CLI, and more: surgical read hints, PDF/Office/CSV/markdown file interception, 160+…

RuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21…

💼 One MCP server to search job boards and company career sites

C++ MCP SDK - build Model Context Protocol (MCP) servers and clients in C++ / CPP. Enterprise-grade security, observability, connectivity. Stdio, HTTP+SSE, Stre…

Open-Source AI Presentation Generator and API (Gamma, Canva, Beautiful AI, Decktopus, Presentations AI Alternative)

Secure, Fast, and Extensible Sandbox runtime for AI agents.

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

Browser Harness | Self-healing harness that enables LLMs to complete any task.

The World's First Agentic IDE. Visual dashboard: live sessions, task management, code editor, terminal. Epic Swarm parallel workflows. Auto-proceed rules. Autom…

Agenta is a workspace where you and your team build agents and automations.

Terminal Director. One lightweight app, eight features, your whole dev workflow in a single window.

AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio n…