LLM Mart Basic

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

Swift 6 language mode with complete concurrency checking from the first line of a new Apple-platform project; `MainActor` default isolation per the Xcode 26 template, `Sendable` only where a value crosses an isolation boundary; `@preconcurrency import` for lagging deps. Use when

Default module shape for Apple-platform Swift Apps — one Swift Package, multiple targets, a thin App target (`@main` + DI root), CloudKit / GameKit / StoreKit imports confined to service targets, one test target per production target. Use when laying out targets in Package.swift,

Checklist of SwiftUI interaction bugs that pass code review but break at runtime: tap-target shrink under `.buttonStyle(.plain)`, inert sidebar `Label`s, `horizontalSizeClass` on Mac, `.task` re-fire, blank `fullScreenCover(isPresented:)` race, stale `dynamicTypeSize` in modals,

Wire SwiftUI navigation as data on the iOS 26 / macOS 26, Swift 6 baseline: one `@Observable @MainActor` Router in `.environment`, `NavigationStack(path:)` over a typed `Route` enum, `navigationDestination(for:)` at the stack root, `item:`-driven sheets and covers, `.onOpenURL` d

Design the app-side event pipeline that fans one `telemetry.observe(event)` call out to logging, tracking, MetricKit and Game Center sinks. Use when deciding whether Logger and analytics tracking share one interface; when adding a `TelemetrySink` / `MetricKitSink` / `GameCenterSi

Use when setting up or changing CI for an Apple-platform project on Xcode Cloud — choosing Xcode Cloud vs GitHub Actions, splitting PR / Main / Release / scheduled workflows, writing `ci_scripts/ci_post_clone.sh` / `ci_pre_xcodebuild.sh` / `ci_post_xcodebuild.sh`, or wiring `CI_B

Keep a running impl-notes file next to the phase meeting log while a subagent executes a task, recording design decisions, intentional deviations from spec, tradeoffs, and open questions as they happen rather than after the fact. Use at the start of any non-trivial subagent dispa

Route a stray idea that surfaces mid-task to the §Backlog of the right living doc in a spec-phase-orchestration repo (design.md, foundations.md, plan.md, methodology.md, or today's meeting log) as a single line, without derailing the current work. Use when a not-now-but-don't-for

Package Claude Code skills as a plugin plus marketplace and install them into other repos — globally, pinned per project via committed settings, or as a skills-dir plugin. Use when sharing skills across repos, wiring an existing skill plugin into a project, choosing flat project

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.

Record the present state by mode — decision (ADR, RFC, rule), code (spec, doc, guide, scenario), or research (a ready report or one external material); a gate picks the document type.

First-time Archcore setup — wire host configs, measure the authored context, compose the full first-day seed in one preview, and create it on one confirm; import converts CLAUDE.md, AGENTS.md, rule files, ADRs, and docs into native documents; refresh adds new facts or drills into one domain.

Plan a feature or initiative through a computed route — a small fix exits with no documents, one capability gets a spec and a plan, a large initiative gets an umbrella PRD with one spec per capability; start with sdd, sources (market research), iso (regulated work), or research (technical investigation) to run that path directly.

Review branch changes against Archcore docs, or report project health; drift runs staleness detection, deep a full documentation audit, closeout closes a finished feature, experience captures a repeated pattern.

Verify that citations actually exist and that the claims they support are faithful to the cited source. Runs deterministic existence checks (Crossref / OpenAlex / Semantic Scholar / arXiv) plus a claim-faithfulness pass via the alterlab-citation-verifier skill.

Run a systematic, reproducible literature review on a topic and return an APA 7.0 annotated bibliography with a documented search strategy. Invokes the alterlab-deep-research pipeline in lit-review mode.

Run a full multi-perspective peer review of a manuscript, simulating an Editor-in-Chief plus three peer reviewers and a Devil's Advocate, and produce a structured editorial decision and revision roadmap. Invokes the alterlab-paper-reviewer skill.

Orchestrate the end-to-end academic research-to-publication workflow (research, write, integrity check, review, revise, re-review, finalize) with mandatory integrity gates and two-stage peer review. Invokes the alterlab-research-pipeline orchestrator.

Audit infra security: secrets, deps, CI/CD, webhooks, AI/skill files

Audit Solana program code for exploitable bugs and write a findings report

Compare per-instruction CU with the stored baseline to catch regressions

Build the web client (Next.js, Vite, React) and check env, types and bundle

Build Solana programs (Anchor, Pinocchio, native), incl. verifiable builds

Build the Unity project in batchmode for WebGL, desktop, Android or PSG1

Turn a solana-ai-kit fork into a project: set up CLAUDE.md, remove kit files

Un-ignore and commit the kit config dir, instruction file, .mcp.json and .gitmodules

Replay a user's failing transaction on forked state and map the error to source

Deploy a program to devnet, or to mainnet after the user's explicit go-ahead

Review the branch diff for Solana security issues, CU waste and AI slop

Read-only check of toolchain and kit config, with one fix-it command per failure

PiG (Pi in Go) is a faithful Go port of upstream Pi, the TypeScript codebase behind the Pi coding agent. It is a parity-bound translation, not a rewrite: upstre…

An AI Agent that lives in your pocket. Local-first and privacy focused.

Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.

Adaptive Test-time Learning and Autonomous Specialization

Prediction-market trading engine — Wang Transform pricing on 291K+ contracts; paper-traded across Kalshi · Polymarket · Solana DFlow (Jito bundles) · 633 tests

Knowledge Management for Humans and Agents

Open-source Claude Cowork / Codex / WorkBuddy alternative — a local-first AI office agent that turns one request into real PPTX, DOCX, XLSX and HTML files. Runs…

DeepAgent Code: AI coding agent with persistent memory and control plane

Awesome Jev — evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20 languages, rebuilt every 2 hours.

CLI for Telegram — agent-friendly, daemon-based, with webhook event push.

AI deep-research agent that turns any question into a cited report: plans searches, reads real sources, verifies evidence. Self-hosted, multi-provider, Docker-r…

Event-stream AI Agent framework for building your persona bot 🍊

Give the agent a machine. Just not yours. Each AI coding agent gets its own isolated machine with root, Docker, and systemd - active defense detects and stops t…

Local Emperor-style AI agent with Vue WebUI, multi-provider LLMs, streaming chat, tools, skills, memory, and token telemetry.

Open-source AI reverse-engineering agent platform and MCP server for Ghidra, Frida, x64dbg and Rizin — automated PE/APK/binary analysis, CTF and malware researc…

"Never send a human to do a machine's job" - Open Source AI hacking agent

Prismer Cloud

My Personal Blog (Robotics)

Tau Coding Agent - like Pi, but twice as much

Open-source alternative to OpenAI Dots: self-hosted AI chat, tools, approvals, connectors, and computer tasks.