LLM Mart Basic

Build or audit interactive WordPress blocks with the Interactivity API: block.json interactivity support, viewScriptModule, PHP state/config/context helpers, data-wp-* directives, @wordpress/interactivity stores, hydration, async actions, and WordPress 7.1 binding rules. Use for

Prepare, expose, and audit WordPress-authored JSON Schemas with the WordPress 7.1 JSON Schema API. Covers wp_prepare_json_schema_for_client, wp_get_json_schema_allowed_keywords, draft-04 versus rest-api profiles, required-property conversion, recursive schema cleanup, empty-objec

Handle dates, times, and numbers in WordPress plugins with

Implements and audits WordPress post, user, term, comment, and

Implements and audits WordPress built-in password-protected posts, pages, and custom post types. Covers `post_password`, `post_password_required()`, `get_the_password_form()`, the `wp-login.php?action=postpass` handler, `wp-postpass_` cookie semantics, REST `password` requests, c

Implement or audit integrations with the experimental WordPress Presence API feature plugin 0.1.23. Covers the seven public PHP functions, post and admin rooms, the per-site wp_presence table and TTL, Heartbeat transport, REST read/write/delete/rooms endpoints, per-room capabilit

Implement or audit WordPress plugin privacy integration with

Review and implement WordPress core query-cache usage on WP 6.9+,

Scaffold and audit inbound custom WordPress REST API endpoints

Audits WordPress plugin or theme PHP code for the most common

Audit how WordPress plugins and classic themes store settings and configuration. Use when reviewing get_option/update_option/add_option/register_setting/settings_fields/options.php, Customizer add_setting/get_theme_mod/set_theme_mod, theme_mod vs option decisions, associative-arr

Configure or audit WordPress speculative loading and Speculation Rules: prefetch/prerender mode, eagerness, safe URL exclusions, custom rules, per-link opt-out, cache/session correctness, and WordPress 7.1 host default constants. Use when a plugin owns frontend URLs, carts, logou

Generate and audit block-style CSS with WordPress's public Style Engine functions. Covers wp_style_engine_get_styles, wp_style_engine_get_stylesheet_from_css_rules, wp_style_engine_get_stylesheet_from_context, style objects, preset tokens, selectors, rule groups, request-local co

Register, discover, render, and audit SVG icons with the public WordPress 7.1 Icons API. Covers wp_register_icon_collection, wp_register_icon, wp_get_icon, unregistering icons and collections, collection/name rules, inline content versus file_path, core SVG sanitization limits, a

Handle UTF-8 and text encoding safely in WordPress plugins,

Extend or audit WordPress 7.1 entity list and form defaults through the View Config API used by DataViews-based screens. Covers wp_get_entity_view_config, wp_get_entity_view_config_hook_name, dynamic get_entity_view_config filters, WP_View_Config_Data merge/replace/set/remove sem

Programmatically clear WP Rocket cache from a third-party plugin / theme when data changes — the public rocket_clean_* function family (rocket_clean_post, rocket_clean_files, rocket_clean_term, rocket_clean_user, rocket_clean_home, rocket_clean_minify, rocket_clean_cache_busting,

Customize WP Rocket behavior from a third-party plugin /

Expose, scope, or secure WP Rocket settings for AI / MCP

Audit whether a WordPress plugin or classic theme is WPML-compatible end to end. Use when asked "is this plugin WPML compatible?", "why does this shortcode/string/page not translate?", or when code has wpml-config.xml, stored page/product/term IDs, get_permalink/home_url, shortco

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 inspect` prints the full record for a single lease: state, provider,

Run named, repo-local jobs defined in your Crabbox config.

`crabbox list` shows the current Crabbox machines (leases) for a provider. It is

`crabbox login` authenticates the CLI against a coordinator, stores the

`crabbox logout` clears the stored broker token from your user config so the CLI

`crabbox logs` prints the retained command output for a recorded run.

`crabbox marketplace` previews the Crabbox credits gateway: one Crabbox billing

`crabbox media` turns a recorded desktop video into lightweight review

`crabbox open` prepares an existing SSH-capable lease for an external editor.

`crabbox pause` pauses a single lease, freeing the remote compute while

`crabbox pond` is the cross-provider peer-discovery and lifecycle surface for a

`crabbox pool` contains machine-pool helpers. `pool list` keeps the older

`crabbox ports` bridges provider-native port publishing for an existing Crabbox

`crabbox prewarm` leases a reusable box and prepares it for test runs. For

`crabbox providers` prints the provider capability matrix that the CLI compiles

`crabbox receipt <run-id>` retrieves a brokered run's committed terminal

`crabbox results` prints the structured test summary attached to a recorded

`crabbox resume` resumes a lease previously paused with [`pause`](pause.md),

`crabbox run` syncs the current dirty checkout to a box, runs a command there,

`crabbox screenshot` captures a single PNG from a desktop lease without opening a

Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightwei…

Open-source AI browser agent for web automation: a web browsing agent and computer-use agent in plain English. Browser MCP for Claude Code and Gemini CLI.

Agent-native trading terminal built on DeepSeek Harness. Crypto, US, CN and HK in one three-column GUI, 19+ hot-swappable connectors, dry-run by default with hu…

Open-source desktop and web coding agent with a first-party host and harness, durable sessions, model connections, streaming chat, and workspace tools.

OrcaReplay — Time travel for AI agents. Record, replay, fork, and debug any agent run with any model. Built by the OrcaRouter.ai team.

A complete toolkit for connecting R and LLMs

OpenSRE — the memory-first AI SRE. Self-hosted incident investigation with episodic memory, knowledge graph, web console, Slack & Teams. opensre.in

A desktop AI coding assistant that works with your local projects. Ally helps you understand code, edit files, search a workspace, manage tasks, and complete de…

【在线免费使用】 简单快速将SQL或DBML转换为美观的ER图（支持 Agent Skill）/ The best SQL to ER Diagram converter (Support Agent Skill).

Operation-bound protection for autonomous AI agents: contain and verify operations before committing changes, understand intent and risk across long-running wor…

Local-first AI coding agent desktop: Electron + Rust host core + pi Agent Harness + user-installable plugins

Local-only Go static analysis engine with a built-in MCP server. Gives AI coding agents deterministic structural awareness: call graphs, impact analysis, symbol…

Self-hosted AI agent workspace with tool calling, MCP, multi-model routing, sandboxed execution, multi-agent workflows, and LLM-authored 3D character animation…

Automated TDD enforcement for Claude Code

High-performance platform for building websites, e-commerce, and web applications—with Native AI, JavaScript development, and a marketplace for portable sites a…

Autonomous AI-agent orchestration engine for job discovery with decision traces, tool adapters, and production-grade run control.

Token efficient Claude Code full Python rebuild. AI Coding Agent in 310K LoC Python.

OPC — One Person Company. A full team in a single Claude Code skill. Adaptive agent orchestrator with 21 built-in roles, 6 flow templates, and adversarial quali…

Open-source, secure environment with real-world tools for enterprise-grade agents.

MCP server for AI-powered GitHub project management — agent orchestration, PRD-to-issues pipeline, sprint planning, and multi-agent swarm coordination