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

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.

Discover testnet↔mainnet subnet lineage from repo configs and open a PR for review (pass --dry-run to report only)

Triage raw inbox notes into reviewed repository destinations without deleting their sources.

Audit and rewrite content to remove AI writing patterns

Log a completed piece of content to content/log.md after the user confirms it was published.

Validate a dream artifact, review each proposal, and apply only individually accepted changes.

Run a curator pass against the validated memory directory and produce a proposal artifact.

End a session — log what happened, update state and the decision log, propose memory updates, and check for uncommitted or unpushed work

Find relevant context files by topic. Use when you need to load files for a topic without a slash command, or when a task spans multiple domains.

Inventory and migrate selected Gemini CLI workflows with dry-run review and parity checks.

Find repeated workflows in selected Gemini CLI sessions and draft portable skills after review.

Scan multi-session drift and offer individually reviewed fixes only after explicit approval.

Scan orphaned worktrees and stale branches, then offer explicit approval-gated cleanup.

Guided onboarding or import for durable workspace context

Start a session — load state files, flag staleness, and give a briefing on current priorities, deadlines, and blockers

Create a morning heartbeat from repository state and update the local heartbeat log.

Mid-session checkpoint — append progress to today's session log and update state files if a priority shifted, without ending the session

Maintainer-only. Find every file that would newly ship to adopters, classify each one against the written distribution-boundary categories, default to withhold on no clean match, and ask the maintainer only where the taxonomy does not settle it. Drives the release CLI, which refuses to produce a manifest until every shipping file has an answer.

Audit memory, wiki, and auto-loaded files for duplication, conflicting instructions, and stale content. The default path researches, then asks you a single Apply / Discuss / Decline question; on Apply it applies the report, files any out-of-scope problem as a tech-debt issue, then commits, opens a PR, and merges it on a main-branch run like /update-deps. Pass --apply to re-run the apply-and-publish stage against the most recent report.

Fix the tech-debt backlog, a single issue or a recommended related batch, highest severity then oldest first, on a fresh isolated branch through the audit gate, closing the issue(s) on merge. Pass `list` to see the ordered backlog, `why <issue-number>` to explain the recommendation, or a bare `<issue-number>` to fix that issue directly.

Health-check and auto-heal this project's Claude integration, triage, heal, verify, and report an F-to-A+ grade.

MCP server for reusable prompt templates, multi-step workflow chains, and quality gates. Compose agentic workflows with an operator syntax; export as native ski…

中国股票数据基础设施，覆盖行情、研报、资金面、筹码、公告、龙虎榜、ETF/期权、舆情互动、基本面、行业板块、宏观与风险事件等核心数据。42+A股数据集，日更、自托管、MCP 原生，零注册、零 API Token

OKF (Open Knowledge Format): Durable, structured memory for AI agents. Author, validate, consume, and maintain portable knowledge bundles through an ecosystem o…

토스증권을 AI 에이전트와 터미널에서 다루는 도구. CLI 와 MCP 서버로 계좌·시세·주문은 물론 웹앱 전용 기능(수급·AI 시그널·스크리너·배당)까지, JSON·CSV 구조화 출력으로 AI 도구·자동화에 바로 연동.

Claude skills for LinkedIn. 11 Claude Code and Codex skills that write human-sounding LinkedIn posts, craft comments that get noticed, analyze your feed, and bu…

MCP server connecting AI agents to ITASCA engines (PFC, FLAC, 3DEC, MPoint, MassFlow) — run geotechnical & geomechanics simulations through natural conversation

A curated list of amazingly awesome articles, people, applications, software libraries and projects related to the knowledge management space

One local dashboard for every Claude Code, Codex, Cursor, Antigravity, and Kilo Code session on your Mac. Spawn in parallel, ship in parallel. Open source, MIT.

Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.

The AI agent that lives in your framework/browser

Self-Programming AI Assistant. Capture, automate, and refine all your workflows.

Consider it done. The open-source AI agent that works out of the box · 想到，就能做到。开源、开箱即用的 AI Agent。

Make Any Website into CLI & Use your logged-in browser by AI agent.

ISO 24495 Plain Language skills and Claude Code plugin

Deterministic, fail-open tool routing for Hermes Agent with an optional local-model fallback.

1인 사업가 생산성 키트 — 직원 없이 49개를 자동화했고, 그중 바로 쓸 수 있는 AI 에이전트 스킬 26개(+실행 스크립트)를 공개합니다

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agent…

The open-source, self-hosted video conferencing software. Scalable, customizable, and with a powerful AI Meeting Agent.

Business operating system for Claude Code — 57 skills, 21 agents, smart daemon. Unified inbox (WhatsApp/Email/Slack/Telegram), autonomous PR merge, full-AWS mon…

A local-first, cross-platform Electron desktop workspace for Pi Coding Agent, with sessions, project files, browser tools, skills, plugins, and messaging integr…