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.

{{SKILL_ENTRY:refactor}}

{{SKILL_ENTRY:release}}

Review a diff with the reviewer fleet, funneled to one triaged verdict. Targets the current working diff, a path, or an inbound GitHub PR.

Exploratory spike on a throwaway branch — answer a named question with disposable code. Never merges; exits to a findings note or {{CMD:feature}}.

Autonomous sprint — one interactive spec gate, then plan-to-PR execution with every auto-decision SMARTS-scored and logged. Hard gates remain true stops.

Daily repo hygiene — review the day's repo state, then perform the cleanups under per-action confirmation. Fast-forward only, never destructive without a yes.

Show the project's current state at a glance — stage, open tasks, open questions, overrides since the last checkpoint, current branch. Read-only.

Wire codeArbiter's statusline into ~/.claude/settings.json, or remove it.

The sanctioned task-board mutator — add a queued task, start one (flips to in-progress and stamps the date, minting a dotted ID on pick-up), or mark an in-progress task done. The only blessed write to open-tasks.md.

{{SKILL_ENTRY:security-architecture}}

{{SKILL_ENTRY:tribunal}}

Watch a PR's CI to completion — diagnose on red, notify and offer the merge on green. Never auto-merges.

Copy a file OUT of a running sandbox box to the host — host-initiated egress only (docker cp). The reverse, a host→container bind, is impossible by construction.

Tear down a sandbox box — remove its container and named volume. --keep-volume leaves the volume; with no id, prune reclaims any leaked ca.sandbox=1-labeled object. Cached images are retained.

Run a single command inside a running sandbox box and capture a JSON result — exitCode, separate stdout/stderr, and a truncated flag past the byte cap. The scriptable exec seam.

Open an interactive shell inside a running sandbox box at /work/repo. Read-only root, non-root user, no host-FS access — explore the untrusted code interactively, then exit.

Pull an untrusted repo into an ephemeral, host-FS-isolated Docker container — clone into a named volume, build a dep-cached image, run under structural isolation. Network defaults to offline. Requires Docker and nixpacks.

Vet a new or changed third-party dependency for license, provenance, and supply-chain risk before any install runs.

Inspect ADR health read-only; optionally select one ADR with --adr N.

Record user-decided ADRs or inspect their health read-only. Preserve attribution and acceptance evidence.

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

Personal AI Agent Hub 2026 — Build Your 24/7 Autonomous Assistant

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…