LLM Mart Basic

Handle the JetSmartFilters frontend AJAX lifecycle and reinitialize behavior after provider DOM replacement. Use when JavaScript must react when filtering starts, rendered content updates, loading ends, or JSF initializes; when integrating sliders, galleries, analytics, accessibi

Connect JetSmartFilters controls to a native JSF Listing or another supported listing with the correct provider, query ID, query variable, apply type, and pagination contract. Use when building a filterable listing, debugging a filter that updates the wrong widget or does nothing

Map a JetSmartFilters integration to the correct filter, provider, query ID, listing, frontend event, or extension API. Use when planning or reviewing JSF compatibility, diagnosing a filter that targets the wrong listing, choosing between JSF Listing hooks and a custom provider,

Customize JetSmartFilters query arguments and native JSF Listing results without leaking changes across providers or listing instances. Use when adding mandatory constraints, changing posts_per_page, filtering listing items, handling a plain query variable, or reviewing jet-smart

Build or audit LearnDash course access and enrollment logic. Use when code mentions sfwd_lms_has_access, ld_update_course_access, ld_course_access_from, ld_course_access_from_update, ld_course_access_expired, learndash_user_get_enrolled_courses, course_*_access_from, open/free/pa

Build or audit LearnDash learner progress, step completion, course completion, quiz progress, resets, activity synchronization, and progress hooks. Use when code mentions learndash_process_mark_complete, learndash_process_mark_incomplete, learndash_process_user_course_progress_up

Build or audit LearnDash group membership, group-course access, group leaders, and hierarchical group behavior. Use when code mentions ld_update_group_access, ld_update_course_group_access, learndash_get_users_group_ids, learndash_get_groups_user_ids, learndash_group_enrolled_cou

Build or audit LearnDash REST API integrations for courses, lessons, topics, quizzes, groups, users, course steps, enrollments, group memberships, progress, and the modern LearnDash REST manifest/OpenAPI docs. Use when code mentions ldlms/v2, learndash/v1, LearnDash_REST_API, lea

Build or audit the LearnDash WooCommerce integration that grants/revokes LearnDash course and group access from WooCommerce products, orders, refunds, subscriptions, switches, and order-item changes. Use when code mentions learndash-woocommerce, _related_course, _related_group, L

Integrate with or extend "Elállás for WooCommerce"

Design or audit an LW Firewall adapter for a custom public form that is not the built-in registration or lost-password form, or specify a future generic form-guard extension contract without claiming it already exists. Covers the absence of a generic guard, reusable `RegisterToke

Manage and audit LW Firewall 1.5.6 through its options API, admin UI, WP-CLI, LW Site Manager abilities, worker controls, logs, administrator alerts, password-reset settings, and manual or automatic IP bans. Use when code or runbooks reference `wp lw-firewall`, `Options::save`, `

Integrate, configure, or audit LW Firewall's password-reset flood protection across core WordPress, WooCommerce, custom lost-password forms, REST handlers, administrator recovery, proof tokens, per-IP/account/global limits, alerts, and reset auto-bans. Use when code references `l

Build or audit companion endpoints against LW Firewall's early MU-plugin worker, URI classification, shared and route-local rate limits, logged-in buckets, IP/geo rules, automatic bans, backend consistency, configuration overrides, logging load, and worker lifecycle. Use when cod

Integrate custom WordPress registration forms and signup REST endpoints with LW Firewall's registration honeypot, signed timing token, single-use storage, rejection tracking, and rate limiting. Use when code creates users outside the core `wp-login.php?action=register` flow or re

Consumer and reviewer reference for LW LMS Abilities API registrations in lw-lms v1.6.0. Use when calling or auditing `lw-lms/list-courses`, `lw-lms/get-course`, `lw-lms/get-progress`, `lw-lms/set-progress`, `lw-lms/get-options`, `/wp-json/wp-abilities/v1/abilities/lw-lms/.../run

Backend extension contract for LW LMS v1.6.0. Use when extending enrollment, access, source-scoped revocation, progress, certificates, automation, analytics, settings tabs, companion-plugin logic, `lw_lms_after_grant`, `lw_lms_after_revoke`, `lw_lms_pre_grant`, `lw_lms_has_course

Plan, run, or review the LW LMS WP-CLI LearnDash migration command `wp lw-lms migrate-learndash` in lw-lms v1.6.0. Use when migrating `sfwd-courses` / `sfwd-lessons`, checking `--dry-run` / `--verbose`, verifying `_lw_lms_migrated_to` mappings, course sections, lesson order, WooC

Build a custom frontend against LW LMS's headless `/wp-json/lms/v1` REST API in lw-lms v1.6.0. Use for React, Vue, Astro, mobile, or theme code that calls `/courses`, `/courses/{id}`, `/lessons/{id}`, `/progress`, `/progress/course/{id}`, or `/download/{id}` and must handle publi

Use the LW LMS v1.6.0 operational WP-CLI commands added in v1.4.0. Covers `wp lw-lms course create|list|delete|set-section`, `wp lw-lms lesson create|list|assign`, `wp lw-lms enroll`, `wp lw-lms revoke`, `wp lw-lms force-complete`, argument resolution by ID/slug/login/email, enro

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.

This is the lane for changes with no behavior to test-drive — prose edits, a version bump on an

Use this after a pull request has merged but your local checkout is still on the topic branch.

Prints the public command catalog straight from `COMMANDS.md` — the plugin's own single source

This is the single entry point for turning staged work into a commit — nothing in codeArbiter

The protocol for a rule conflict — not a skill route, an orchestrator-level halt. When two sources

An optional, on-demand drift audit for the bypass case: a merge, a direct push, or a manual edit

This is the populator for a project that already has code to read. Instead of interviewing you about

This is where an unexplained defect goes before anyone touches code. The investigation is

This is the populator for a project that has no code yet to read. Rather than guessing at

Proves the install is actually enforcing, rather than just present. codeArbiter's worst failure

This is the standard entry point for new work with a human in the loop at every step. A short

This is the entry point for a defect that already has a known cause, or one you can describe

This is how a repository opts into codeArbiter for the first time. It writes the root-level state

A bare-numbers governance glance — three metrics, each with a trend arrow against the prior

The sanctioned, logged escape hatch. A routine gate — a lint rule, a style check, a non-security

Explicit PR entry and a direct request to open a PR use the same branch-finishing owner.

A zero-onboarding, read-only dry-run of the reviewer fleet against whatever is currently

This is a Feature Forge preview command — the after-each-turn service ships **off** by default and

Compares architectural records with the scaffold and prior decisions using SMARTS.

This is the lane for moving or reshaping code without changing what it does — a rename, an extract,

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.