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

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.

An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间，让人与智能体在此协作

Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.

Transform and optimize your markdown documentation for Large Language Models (LLMs) and RAG systems. Generate llms.txt automatically.

合乎周礼：DeepSeek-powered Zhouli-style Chinese translator, web app, and distributable Skill package.

This is a fork of the https://dockbox.dev project I made

🏆 Curated, ranked list of AI agent harnesses (100+) — plus an MCP server, llms.txt & JSON so agents can recommend them too. Rescored weekly.

A Python framework for modular, self-contained skill management for machines.

ADHD — a skill for coding agents. Tree-of-thought with pruning, built on the Claude & Codex Agent SDK. Fans out parallel divergent thoughts under different cogn…

AI Agent 驱动的开源可自部署视频工作台：将小说与剧本转为角色、场景、道具资产、分镜、视频和剪映草稿，支持跨镜头一致性、多供应商与费用追踪 | Self-hosted AI video workspace for stories, storyboards and short-form video producti…

DeepSeek Harness Desktop App: a local AI desktop workspace for DSH Sessions, projects, files, web research, plugins, and Office artifacts.

Autonomous Offensive Security, Bug Bounty & Red Teaming Agent Framework powered by Hermes Agent, specialized reasoning skills, and multi-model LLM orchestration…

⌥ Coding agent with the IDE wired in

Supercharge AI Agents, Safely

X (Twitter) Scraper API and X API Alternative. You do not need an official X developer account. You do not need to connect or use an X account for supported scr…

My AI Stand. Realtime by day, rewriting itself by night. Summon my AI superpower.

Open-source coding agent for your terminal, built in Rust and on a journey of continuous community improvement. Issues and PRs welcome.

观澜 / Guanlan：AI Agent 的中文互联网研究、阅读与信源路由工具。

Mac Agent for macOS 26: the agentic AI harness for your Mac Desktop. Computer use, automation, scripting, coding, and more. Powered by 18+ providers across loca…

Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.