LLM Mart Basic

Security auditing, vulnerability assessment, and secure coding review. Identifies OWASP risks and recommends mitigations.

Actively monitors all agent activity and provides real-time guidance. Assign as a shadow for high-stakes or learning scenarios.

Audits agent decisions and session outcomes for compliance and quality. Assign as a shadow for end-of-session review.

Reviews code changes for quality, security, and best practices. Assign as a shadow to monitor another agent's code output.

Test writing (unit, integration, e2e). Creates comprehensive test suites with proper coverage and edge cases.

A research-focused worker that investigates code, docs, and options then reports findings via Agent Relay. Use when you need deep analysis or investigation.

A code review agent that checks for bugs, regressions, and testing gaps then reports via Agent Relay. Use when you need a second pair of eyes on changes.

A background worker agent that communicates via Agent Relay. Use when you need to delegate a task to a worker that reports back via Relay messaging.

CAgent, addBackgroundJob, Messenger brokers/queues. Use for deferred and async processing.

Covers business processes (bizproc) — start/stop workflows from PHP, document types, custom activities in /local/activities/, boundary vs agents/Messenger; mentions bizprocdesigner. Applied for approvals, document workflows, automation activities. Key terms — CBPDocument, CBPRunt

Covers caching in Bitrix — Cache (unmanaged), ManagedCache, TaggedCache, ORM auto-cache, component cache via startResultCache/endResultCache, Composite Site, cache engine configuration (files, memcached, redis) in .settings.php. Applied when optimizing performance, invalidating b

Covers Trade Catalog module — products, SKU/offers, prices, inventory, discounts, bundles, export/import, catalog API choice. Applied for e-commerce features requiring prices, stock, and sale integration. Key terms — catalog, product, SKU, offer, price type, CCatalogProduct, cata

Covers CMS fundamentals — sites, site templates, menus, page templates, includes, breadcrumbs, styles/CSS handling (styles.css vs template_styles.css, Asset::addCss, SetAdditionalCSS), user groups, user fields, admin panel. Applied for site structure and content management tasks.

Bitrix components: class.php, templates, cache, SEF, Controllerable AJAX. Use when building or editing components.

Covers Bitrix CLI tools — php bitrix/bitrix.php, generators make:module/make:controller/make:tablet/make:entity/make:service/make:event/make:eventhandler/make:message/make:messagehandler/make:component/make:request, kernel commands (orm:annotate, messenger:consume, translate:inde

Engine Controller/JsonController: thin actions, filter attributes, CurrentUser, errors. Use for AJAX/REST/routed endpoints.

Covers direct database work in Bitrix — Application::getConnection(), Connection, MysqliConnection, SqlHelper, SqlExpression, raw SQL queries via query()/queryExecute()/queryScalar(), transactions (startTransaction/commitTransaction/rollbackTransaction), DDL and schema migrations

Covers date and time in Bitrix — Bitrix\Main\Type\Date and DateTime, parsing and formatting by kernel masks, date arithmetic, time zones via toUserTime/disableUserTime/enableUserTime, Context::getCulture() and locale formats, conversion to timestamp. Applied when building schedul

Covers Bitrix event system — new model (Bitrix\Main\Event, EventResult, EventManager::addEventHandler, make:event, make:eventhandler) and old model (OnBefore*/OnAfter* hooks in CIBlock, CUser, CSale and other classic APIs). Applied when integrating modules, entity lifecycle hooks

Covers Bitrix JS/CSS extensions — /local/js/ structure, bundle.config.js, config.php, Extension::load, @bitrix/cli build, CoreJS imports. Applied when adding frontend code to modules, components, or admin pages. Key terms — extension, bundle, Extension::load, bundle.config.js, co

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.

AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.

嘉立创EDA专业版(EasyEDA Pro)自动化：给 AI harness 装上画板的「手」—— 一套 typed 原理图/PCB 动作，CLI / Agent Skill / stdio MCP 三形态融合接入。承接嘉立创「不以卖板赚钱，以培养中国工程师为己任」 | EasyEDA Pro automation:…

Claude Code session log viewer for JSONL files in ~/.claude/projects. Browse conversations, tool calls, tokens, and live tail sessions on desktop, web, and TUI.

Shared memory MCP server — persistent, searchable, cross-client Claude, Opencode

OpenAI Codex CLI session log viewer for JSONL files in ~/.codex/sessions. Browse conversations, tool calls, tokens, collaboration chains, and live sessions on d…

High-performance Google Drive CLI and Model Context Protocol (MCP) Server for LLM/AI agents. Natively execute Google Apps Script (GAS) under a secure whiteliste…

"Vibe-Trading: Your Personal Trading Agent"

Local-first chat history analyzer with AI. | 本地优先的 AI 聊天记录分析工具

Official Oxylabs MCP integration

Persistent memory for Claude Code & Codex CLI. Auto-extracted knowledge graph, multi-representation embeddings, 3D WebGL visualization. LongMemEval R@5=97.45%.…

One person, a team of agents. Multi-session CLI that collaborates across terminals; /goal keeps long tasks running; WeChat/WeCom/Feishu gateway lets you call th…

AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识。

Self-hosted, open-source agent skill registry for enterprises. Publish & version skill packages, govern with RBAC and audit logs, deploy on-premise with Docke…

深度调研报告生成 Skill — 一条命令，十分钟出券商级深度调研报告 / Professional deep research report generation Skill · Supports 19 languages

The OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Plugin, agent skills, and a GitHub Action.

Autonomous AI pentesting agents — real-time reconnaissance, vulnerability detection, and exploitation orchestration. Go + TypeScript.

Native macOS and iOS App for the Hermes AI agent — multi-window, multi-server (local + remote over SSH). Chat, dashboard, sessions, memory, cron, MCP, and more.

Multiplayer Claude Code and Codex. Self-hosted team workspace for Claude Code and Codex. Multi-user, browser-based, AI mates with memory.

Every past session, subagent, and workflow -- queryable by your agent, browsable by you

盯盘侠 PanWatch · 自托管 AI 盯盘助手，集成 TradingAgents 多 Agent 投资决策 | A股/港股/美股实时监控、持仓管理、智能分析、全渠道推送