LLM Mart Basic

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

Add custom abilities to the LW Site Manager hub via its extension contract — two action hooks (lw_site_manager_register_categories for category labels, lw_site_manager_register_abilities for the abilities themselves; the second receives the PermissionManager so external abilities

Reference for the LW Site Manager plugin (lwplugins/

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.

Instrument services with structured logging, Prometheus metrics, and OpenTelemetry tracing. Build Grafana dashboards, write Prometheus alerting rules, run k6 load tests, and plan infrastructure capacity.

Generate, test, validate, explain, and debug OPA (Open Policy Agent) Rego policies and Conftest configurations. Covers deny/warn/violation rules, unit tests, regal linting, conftest fmt, namespace design, input shape analysis, and GitHub Actions integration. Use when asked to "write a policy", "test a rego file", "validate policies", "explain this rego", or "why is my policy not firing".

OpenShift SCC diagnosis and hardening, Route TLS patterns, OpenShift GitOps app delivery, and cluster upgrade validation.

Comprehensive PR review across six dimensions — cost impact, environment drift, ownership gaps, SOC 2 compliance, deprecated API / version hygiene, and rollback feasibility. Each mode inspects the diff and current file state, reports findings with severity, and recommends concrete fixes. Use when preparing a PR for merge, conducting a pre-deployment readiness check, or performing a post-merge risk assessment.

Production-readiness preflight check for a directory, repo, or single file. Auto-detects file types (Kubernetes manifests, Terraform, GitHub Actions workflows, Helm values/charts, Flux Kustomizations/HelmReleases, Dockerfiles, shell scripts) and applies type-specific checks across the whole scope. Returns a per-file summary table and aggregated verdict. Use before deploying, merging, or applying a folder of config. For PR diffs spanning multiple files use /platform-skills:pr-review instead. For deep Helm chart work use /platform-skills:helmchart instead.

Apply product thinking to platform work — DevEx audits, friction analysis, RFC/ADR drafting, incident communication, post-mortems, capacity planning, cost optimisation, and platform health review.

Generate renovate.json covering all dependency file types used in a repo, emit a GitHub Actions workflow that validates renovate.json on every PR, or generate a pre-commit hook for local validation.

Detect and respond to in-container threats at the syscall level using Falco (eBPF-based, CNCF, open-source, no license cost). Covers Falco installation on EKS/GKE with eBPF driver, custom rule authoring, alert routing via Falcosidekick, rule debugging, and bridging Falco runtime signals to Kyverno admission enforcement. Use when asked to "detect privilege escalation in containers", "set up runtime threat detection", "write a Falco rule", "route Falco alerts to Slack", or "debug why my Falco rule is not firing".

Secrets strategy, External Secrets Operator scaffolding, Sealed Secrets seal/rotate/backup, rotation runbooks, and Kubernetes-side secrets audit.

Bootstrap and operate a self-improving agent workspace. Scaffolds .learnings/ and memory/ directories, captures errors and learnings during a session, detects recurring patterns, recalls verified lessons, and promotes stable entries to scoped rule files (.claude/rules/ or ~/.claude/rules/). Also implements the Proactive Agent pillars — WAL protocol, working buffer, SESSION-STATE, daily notes, VBR, VFM scoring, ADL decision logic, heartbeat, and reverse prompting. Use when asked to "remember this lesson", "set up agent memory", "log that error", "what did we learn about X", "promote learnings", "revoke that rule", "capture session state", or "enable proactive mode".

Scaffold a multi-agent AI setup for any repo. Scans the codebase, interviews the developer, generates agent configs for whichever AI tools the repo uses (Copilot, Claude Code, Cursor, Codex, Windsurf). Use when asked to "set up agents", "scaffold Copilot agents", or "create an AGENTS.md".

Secure the software supply chain from source to running container. Covers Cosign keyless image signing (Sigstore/Rekor), SBOM generation and attestation (Syft), vulnerability scanning with severity gates (Trivy/Grype), SLSA Level 2 provenance, and Kyverno/OPA admission enforcement. All open-source, no license cost. Use when asked to "sign my image", "generate an SBOM", "scan for CVEs", "attest build provenance", "enforce image signatures in Kubernetes", or "implement SLSA".

Runs through the full Terraform validation pipeline — fmt, validate, tflint, security scan — and reviews a module or plan for blast radius, IAM risk, and state impact.

Triages a PR comment — from a bot (Copilot, CI) or a human reviewer. Routes to the `triage_helper.py` helper for identity checks, thread snapshotting, isolated-worktree fixes, and publish/reply/resolve mechanics; you classify the finding and apply a justified fix. `--dry-run` is fully read-only (investigation and a printed plan, zero mutations). `--no-resolve` runs the full fix/reply workflow but never resolves a thread. Run from inside the repo.

Scan container images, filesystems, git repos, and existing SBOMs for CVEs, secrets, and license violations using Trivy. Covers local CLI, CI severity gates with SARIF upload, and continuous monitoring via Trivy Operator (Flux HelmRelease). Use when asked to "scan my image", "check for CVEs", "scan this repo for secrets", "scan an SBOM", or "set up continuous cluster vulnerability monitoring". IaC misconfig → /platform-skills:checkov. Admission posture → /platform-skills:kyverno. Image signing/SBOM generation → /platform-skills:supply-chain.

Audit GitHub Actions workflows, composite actions, Dependabot configs, and pre-commit configs for security findings using zizmor — template injection, credential persistence, unpinned uses, over-broad permissions, impostor commits. Covers local CLI, auto-fix, zizmor.yml policy, severity-based CI gates, SARIF upload, and pre-commit. Use when asked to "audit my workflows", "run zizmor", "is this workflow safe", "check for template injection", "pin my actions", or "set up a zizmor CI gate". Workflow syntax and shell errors → /platform-skills:github-actions (actionlint). IaC misconfig → /platform-skills:checkov. Image and dependency CVEs → /platform-skills:trivy. Keeping SHA pins fresh → /platform-skills:renovate.

반복 작업을 `/이름` 으로 호출. 파일명 = 커맨드 이름(`fix-issue.md` → `/fix-issue`).

이슈 #$ARGUMENTS 를 처리한다(이슈 우선 워크플로):

AGENTS.md 생태계(rules·memory·agents·skills·commands·workflows)의 연결 구조를

이슈/기획서 기준 SDLC 한 사이클(이슈→개발→테스트→검증→PR/MR)을 사람 개입 없이 자동 실행.

LLM-powered toolkit for skill analysis, AI interviews, resume scoring, and job structuring. Automates professional skill taxonomy and interview processes with a…

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

Easiest and laziest way for building multi-agent LLMs applications.

Drive Claude Code or OpenAI Codex from your phone — resume sessions, stream output, approve tool permissions remotely. End-to-end encrypted, zero-knowledge rela…

MCP server for autonomous agent economies: wallets, signed RTC micropayments, bounty discovery, BoTTube video publishing, and Beacon agent-to-agent messaging. G…

Free, open-source alternative to Microsoft Office with built-in AI agents — Word (.docx), Excel (.xlsx), PowerPoint (.pptx), PDF and Markdown editing for macOS,…

NSE BSE Indian Stock Market Data MCP server — search, screen & analyze all 8,200+ NSE/BSE stocks with 34 tools: live quotes, financials, technicals, 326-ratio s…

全流程 智能招投标 Agent：标书生成 · 招投标解读 · 标书检查 · 标书文档ai排版 · 商机发现 一键完成。 21 项合规检查 · 多模型切换 · RAG 知识库 · OCR 抽取。 从招标公告到可交付 docx 文档，全流程 AI 自动化。

Benzi is AI-native code intelligence infrastructure. Claude Code greps; Cursor embeds; Aider maps signatures; Benzi resolves — and answers in O(1). Every langua…

From ticket to reviewed pull request. Free and open-source, on your machine.

Get web data for AI agents and LLMs - fast, efficient, and reliable with Rust

Open-source, license-free MCP server for RTL waveform debug: reads FST waveforms (VCD/FSDB auto-convert) plus a SystemVerilog netlist, with 34 tools covering dr…

Open-source, desktop-grade AI agent that gets real work done — data analysis, slides, docs, video & web research. Built on OpenClaw; runs tools on your real des…

Parallel, isolated dev environments for humans and AI coding agents. Real containers. Real databases. Zero collisions.

OpenCode goal plugin for Codex-style goal mode, /goal slash commands, persistent objectives, and AI coding agent focus.

Battle-tested skill library for AI agents. Save 98% of API costs with ready-to-use code for crypto, PDFs, search, web scraping & more. No trial-and-error, no ex…

Deep Code 是专为 deepseek-v4 模型优化的终端 AI 编码助手，支持深度思考、推理强度控制以及 Agent Skills。

China Unicom's Yuanjing Wanwu Agent Platform is an enterprise-grade, multi-tenant AI agent development platform. It helps users build applications such as intel…

⚡ CloakBrowser MCP server for AI agents: Playwright-powered browsing, clean tool forwarding, Docker support, and multi-session HTTP transport.

MCP-NixOS - Model Context Protocol Server for NixOS resources