LLM Mart Basic

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

Make a WordPress plugin/theme translatable with WPML by shipping a wpml-config.xml file. Covers the sections WPML honors — custom-fields/custom-field action="translate|copy|copy-once|ignore" (post meta), custom-term-fields (term meta), custom-fields-texts (translatable sub-keys i

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

Your efficient agentic AI coding CLI assistant

AI coding with Aegis governance built into execution: baseline-aware changes, evidence-backed delivery. Free desktop client, your choice of model. 将哲科思维融入 AI 开发…

Android in docker solution with noVNC supported, video recording, mcp server and AI-agent

Your AI assistant, built for the agentic era. Open source and local: talk to it, and it runs your agents, your coding CLIs, your browser and your apps. Windows,…

Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions.

Let Claude Code and other coding agents drive and debug Chrome from the shell. DOM, network, console and raw CDP as short commands, no screenshots and no MCP ne…

Unofficial, agent-friendly Mercadona shopping CLI (Go) — search products, read prices, build a cart and prepare checkout from the terminal. BYO credentials.

Local-first AI canvas for visual workflows, AI short drama, image/video generation, storyboarding and asset management. ComfyUI, AI agents, MCP & Blender. 本地优先…

Let any AI coding tool — Claude Code, Cursor, Codex — drive your real Chrome. One-prompt setup, muscle memory, local-first.

runs anywhere. uses anything

Open-source dots for the web: an AI agent with its own browser, one that does not get blocked.

Free MIT AI coding agent — no API key needed. Built-in free model, or bring Claude, GPT, Gemini, DeepSeek, Ollama +50 more. Swarm mode, 40+ tools, browser & des…

Open-source AI customer support system. AI-first support, human-ready operations.

A durable, multiplayer, mobile-first web app for Pi agents, built on Pi Durable

Embedded Cypher knowledge graph for Python and Rust. Bundled MCP server, describe() schema, and code-graph parser for LLM agents.

Turn PDFs, books and papers into interactive learning webpages｜将复杂材料转化为可追溯、可测验、可做笔记的学习网页

PhysicsOS 是一个面向初高中物理学习的公益可视化智能体，通过 AI 理解题目并结合物理引擎，将抽象物理过程转化为可交互、可观察、可计算、可验证的真实物理场景。