LLM Mart Basic

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

Drive GitHub contributions through the gh CLI — pull requests, issues, GitHub-side file edits, repo secrets, contribution-flow repo settings, submodule pin bumps. Use when about to run `gh pr create` / `gh pr merge` / `gh pr checks` / `gh issue create` / `gh secret set` / `gh api

Shape the prompt a Leader sends when dispatching a sub-agent (Developer, Designer, Code Reviewer, drafting agent) so the result comes back verifiable and integrable. Use when about to call the Agent tool, writing or reviewing a dispatch prompt, deciding what a sub-agent must read

Extract recurring collaboration patterns from accumulated meeting logs (optionally session JSONL) and record them in docs/methodology.md with evidence of where each was sighted. Use when the user asks to update methodology, extract recurring patterns across the meeting logs, or c

Check that a branch's actual diff matches what its commit messages and any subagent report claim, before the commits leave the machine. Use before `git push` of a feature branch, before `gh pr create` or `gh pr merge`, after a subagent reports "committed N files", after an amend

Consolidate a Claude Code session JSONL log into a summary-only meeting record under meetings/ (decisions, rejected alternatives, hand-offs, open questions). Use when the user asks to turn a session into a meeting log, archive today's discussion, or extract a record from a .jsonl

The Apple/Swift-and-this-catalog layer for authoring or reviewing a SKILL.md, on top of superpowers:writing-skills. Use when writing or CR-ing a skill for this repo, wording a description so it routes precisely, splitting a skill into references/, or choosing granularity and nami

Run the spec-first document phase of a project and gate implementation on it. Use when starting a project that needs a spec before code, deciding which documents the spec phase produces and in what order, choosing whether a section may advance while a prerequisite is unconfirmed,

Use before dispatching a subagent with `isolation:"worktree"`, or while another subagent is in flight, to avoid three dispatch hazards — file-scope overlap with an in-flight subagent, a stale dispatch base, and collisions with another live agent/session editing the same checkout

Structure a multi-round Leader / Developer / Code-Reviewer review of a document or code change. Use when planning how many review rounds to run, dispatching a Code Reviewer subagent and deciding which tools and review criteria it carries, adjudicating a reviewer's BLOCKER / MAJOR

OKF (Open Knowledge Format) — curated catalog of tools, plugins, skills, proposals, and docs for agent-friendly knowledge. YAML-driven, agent-searchable, MCP-re…

Navigate a camp with `cgo` and `camp go`. Use when you need to move between projects/festivals/workflow directories, switch context quickly, or resolve script-safe paths with `camp go --print`.

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.

`crabbox attach` follows the recorded events of an active coordinator run and

`crabbox azure` groups Azure provider setup commands. It currently has a single

`crabbox bench` records and reports local benchmark timing observations. It is a

`crabbox cache` inspects, purges, or warms package and build caches on a

`crabbox capsule` captures, replays, and tracks lightweight failure capsules.

Save the state of a lease, then restore it onto another box or fork it into a

`crabbox claims list` prints the lease claims stored on the current machine. It

`crabbox cleanup` sweeps direct-provider machines and local provider state that

`crabbox code` bridges a Linux lease's `code-server` workspace into the

`crabbox config` inspects and updates user configuration. It has three

`crabbox connect` resolves a lease and opens an interactive SSH session to it.

`crabbox cp` copies files or directories between the host and a Crabbox-owned

`crabbox desktop` drives a visible desktop session on a lease that was warmed

`crabbox doctor` runs a preflight before you commit to a long workflow. It is

`crabbox egress` gives a lease mediated outbound network: a lease-local browser

`crabbox events` prints the broker's event log for a recorded run.

`crabbox heartbeat` refreshes the idle deadline for one owned lease and prints

`crabbox history` lists recorded remote command runs from the broker. Each run is

`crabbox image` holds the trusted-operator controls for provider base images:

`crabbox init` onboards the current repository: it writes the minimal config

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat ap…

Governance framework for AI coding agents. It runs them through a five-step workflow (plan, build, review, test, ship) where no step counts as done without evid…

Ultimate Multi-Agent OS for Autonomous AI NPCs 2026

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Proven 2026 Multi-Agent AI Review System – Verdict-Driven Quality Control

Slash API Batch: Cut AI Costs by 50% in 2026

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

Agent Skills for Solopreneurs

AirLLM dramatically reduces inference memory usage, letting 70B large language models run on a single 4GB GPU card

Zero, your trustworthy AI teammate for real work.

一套 DSH runtime，Desktop、Web 与 TUI 三种开发体验。

Open-source operational advisor for ClickHouse — real-time monitoring plus AI-driven index/partition/materialized-view recommendations.

⚙️ TypeScript Style Guide and Agent Skill. A concise set of conventions and best practices for consistent, maintainable code.

Framework for AI agents to build and maintain a digital brain through Obsidian wiki

Apache Maka (Incubating) is a local-first AI agent workspace. Model messages, tool calls, tool results, permission decisions, and termination events are recorde…

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active H…

Agentic development harness for Claude Code — SPEC-driven plan/run/sync, TRUST 5 quality gates, model+effort routing, and Claude×GLM multi-LLM cost control. Sin…

NocoBase is an open-source AI + no-code platform for building business systems fast. Instead of generating everything from scratch, AI works on top of productio…

An open-source AI coding agent that lives in your terminal.

PawWork — free, open-source desktop AI agent for macOS and Windows. Alternative to Codex App and Claude Cowork. BYOK with 75+ providers, ChatGPT OAuth, local mo…