LLM Mart Basic

Orient skill for FluentCRM extension development. Covers the

Register a custom AJAX option list for FluentCRM trigger / action / benchmark editor pickers. Pairs `'type' => 'rest_selector', 'option_key' => '...'` in a settings field with a server-side `add_filter('fluentcrm_ajax_options_{key}', $callback, 10, 3)` callback. Filter signature

Add and parse FluentCRM 3.x SmartCodes and build Pro dynamic contact segments. Covers the addSmartCode method of FluentCrmApi('extender'), parser syntax, fallback/default values, transformers, funnel context smart codes, dynamic segment filters, and ContactsQuery advanced filter

Builds and reviews third-party Fluent Forms input fields with the Free-core BaseFieldManager API. Covers fluentform/loaded bootstrap, editor component schema, frontend rendering, input-name mapping, conditional logic, server-side normalization and validation, response formatting,

Reads, relates, updates, and audits Fluent Forms forms, submissions, entry details, and submission meta from third-party plugins. Covers fluentFormApi, FormFieldsParser, Submission and SubmissionMeta models, form-scoped queries, response JSON versus normalized detail rows, pagina

Builds and audits configurable third-party Fluent Forms feed integrations with IntegrationManagerController. Covers addon/global settings, per-form feed UI, field mapping, conditional execution, smart-code parsing, synchronous versus asynchronous dispatch, ff_scheduled_actions, A

Implements and audits Fluent Forms server-side submission behavior from parsed field data through sanitization, validation, persistence, entry details, notifications, integrations, and confirmation. Selects the correct fluentform/input_data_*, fluentform/validation_errors, fluent

Builds or audits third-party integrations with JetEngine Custom Content Types (CCT): resolving Factory instances, custom-table fields and service columns, Item_Handler create/update/delete hooks, safe queries, Query Builder, related single posts, REST routes and capability bounda

Builds or audits JetEngine Data Store integrations for favorites, bookmarks, likes, recently viewed items, user IDs, and CCT IDs. Covers cookie, session, user-meta, local-storage, and user-IP semantics; Factory lookup; frontend and programmatic mutation; Query Builder; counters;

Registers or audits a custom JetEngine Dynamic Visibility condition by extending Conditions\Base and using the conditions/register hook. Covers show/hide polarity, AND/OR behavior, listing-context value resolution, custom controls under condition_settings, groups, module timing,

Registers or audits a JetEngine Listings callback used by Dynamic Field rendering through jet-engine/callbacks/register or the legacy callback filters. Covers callable identifiers, positional control arguments, multi-callback chains, zero-value defaults, serialized/non-scalar inp

Registers or audits a custom JetEngine Query Builder type with paired runtime and editor classes. Covers all six Base_Query abstract methods including set_filtered_prop, setup_query dynamic/macro merging, pagination, automatic item caching and explicit count caching, filtering, R

Configures the JetFormBuilder action events system — the named events (DEFAULT.PROCESS, DEFAULT.REQUIRED, GATEWAY.SUCCESS, GATEWAY.FAILED, BAD.REQUEST, ON.DYNAMIC_STATE, never) that decide WHEN a Form Action runs. Covers declaring supported / unsupported / required events on a cu

How to read submitted JetFormBuilder form data from a custom

Wraps every action item in the JetFormBuilder action editor with

Surfaces user-facing custom messages from a JetFormBuilder

Registers a custom JetFormBuilder Form Action — a server-side

Adds a per-form settings panel to the JetFormBuilder

Registers a custom settings tab in the JetFormBuilder admin

Extend JetSmartFilters with a custom provider for an unsupported renderer or a custom native JSF Listing query type for a non-post data source. Use when code must register on jet-smart-filters/providers/register or jet-smart-filters/listing/render/query-types/register, extend Jet

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.

`crabbox inspect` prints the full record for a single lease: state, provider,

Run named, repo-local jobs defined in your Crabbox config.

`crabbox list` shows the current Crabbox machines (leases) for a provider. It is

`crabbox login` authenticates the CLI against a coordinator, stores the

`crabbox logout` clears the stored broker token from your user config so the CLI

`crabbox logs` prints the retained command output for a recorded run.

`crabbox marketplace` previews the Crabbox credits gateway: one Crabbox billing

`crabbox media` turns a recorded desktop video into lightweight review

`crabbox open` prepares an existing SSH-capable lease for an external editor.

`crabbox pause` pauses a single lease, freeing the remote compute while

`crabbox pond` is the cross-provider peer-discovery and lifecycle surface for a

`crabbox pool` contains machine-pool helpers. `pool list` keeps the older

`crabbox ports` bridges provider-native port publishing for an existing Crabbox

`crabbox prewarm` leases a reusable box and prepares it for test runs. For

`crabbox providers` prints the provider capability matrix that the CLI compiles

`crabbox receipt <run-id>` retrieves a brokered run's committed terminal

`crabbox results` prints the structured test summary attached to a recorded

`crabbox resume` resumes a lease previously paused with [`pause`](pause.md),

`crabbox run` syncs the current dirty checkout to a box, runs a command there,

`crabbox screenshot` captures a single PNG from a desktop lease without opening a

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.