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

Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.

Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.

Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.

Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.

Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.

Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.

A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.

Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.

Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.

AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.

AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.

A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.

One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.

"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.

A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.

The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.

Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.

Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.

Generate ranked improvement ideas by scanning the codebase, divergent ideation, adversarial critique, and impact ranking

Full autonomous engineering workflow (plan, build, review, ship)

Transform feature descriptions into well-structured project plans following conventions

Report a bug in the whetstone plugin

Reproduce a GitHub issue bug with visual evidence (browser screenshots, log analysis). Takes a GitHub issue number. For non-issue bug validation, use the bug-reproduction-validator agent.

Resolve PR review comments with cluster analysis and parallel agents. Use when bulk-fixing PR comments after triage.

Perform exhaustive code reviews using multi-agent analysis, ultra-thinking, and worktrees

Diagnose the whetstone environment and configure review agents. Checks CLI dependencies and plugin version, then runs the review-agent wizard that writes whetstone.local.md. Use when onboarding a project, troubleshooting missing tools, or configuring review agents.

Run browser tests on pages affected by current PR or branch

Run pre-PR verification chain: build, types, lint, tests, security scan, diff review

Execute work plans efficiently while maintaining quality and finishing features

Run a dry run first:

Run:

Run:

Create or update an OpenCode skill using the bundled skill-creator workflow

Rebuild the OpenCode skill registry for the current project and installed skills

Session-2 fix loop for Agentation — read structured annotations from the dev overlay and apply targeted UI fixes.

Consume the project's design contract — a .design file or DESIGN.md — and thread its tokens through UI code (CSS, Tailwind, or design-system components).

Fork pov.md for installer taste, or append a one-liner to gotchas.md after a real agent failure.

Audit animation timing, easing, springs, and transitions — decide first whether motion should exist, then apply the motion cluster.

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.