LLM Mart Basic

Use when adding a new workflow skill to pi-thinkrail-workflow, changing an existing workflow skill's role, trigger, handoff, or structure, or checking a workflow skill against the workflow system's rules. Not for authoring general-purpose skills outside this package.

This chat has a shared, live TODO plan — your tasks for the conversation, which the user also edits. Read this skill and reach for the todo_* tools whenever a request takes more than a couple of steps. It covers the plan model (group = task, items = its steps; loose items are the

The project's specs are its ground truth: durable documents describing the architecture, decisions, contracts, and boundaries behind the code, organized as a connected graph. Read this skill and reach for the spec tools FIRST — before reading code — whenever you explore the proje

Preserves or recovers the reasoning behind a codebase - architectural decisions, rejected alternatives, workarounds, incident learnings, operational constraints, and historical context the code itself cannot explain. Use when implementing or reviewing a non-trivial change involvi

Справочник программного интерфейса Библиотеки стандартных подсистем (БСП) 1С - какие общие модули существуют, какие у них экспортные методы, сигнатуры, типы параметров, контексты выполнения и переопределяемые обработчики. Используй когда пишешь код на конфигурации с БСП и нужно у

Добавить команду в дополнительную обработку БСП

Добавить функцию регистрации БСП (СведенияОВнешнейОбработке) в модуль объекта обработки

Добавить объект метаданных в конфигурацию 1С с формой, подсистемой и валидацией. Workflow: meta-compile → cf-edit → subsystem-edit → form-add → form-compile → validate.

Создать новую конфигурацию 1С с нуля — scaffold + объекты + подсистемы + роли + формы. Workflow: cf-init → meta-compile×N → subsystem-compile → role-compile → form-add → validate.

Полный цикл создания расширения конфигурации 1С (CFE) — от scaffold до валидации. Workflow: cfe-init → borrow → patch → form → validate.

Индекс XML-выгрузки конфигурации 1С в один JSON - какие объекты есть, их реквизиты, табличные части, измерения и ресурсы регистров, экспортные методы общих модулей. Нужен другим навыкам для проверок, где объект сверяется с остальной конфигурацией

Маршрутизатор задач по работе с конфигурацией 1С. Определяет нужный workflow или отдельный скил для задачи пользователя.

Выгрузка всей информационной базы 1С в DT-файл (полный бэкап - данные, конфигурация, пользователи). Используй когда пользователь просит сделать бэкап базы, выгрузить базу в dt, снять выгрузку ИБ, перенести базу

Управление реестром баз данных 1С (.v8-project.json). Используй когда пользователь говорит про базы данных, список баз, "добавь базу", "какие базы есть"

Полный цикл создания внешней обработки 1С — от scaffold до сборки EPF. Workflow: epf-init → form → template → bsp → build.

Собрать внешний отчёт 1С (ERF) из XML-исходников. Используй когда пользователь просит собрать, скомпилировать отчёт или получить ERF файл из исходников

Разобрать ERF-файл отчёта 1С в XML-исходники. Используй когда пользователь просит разобрать, декомпилировать отчёт, получить исходники из ERF файла

Валидация внешнего отчёта 1С (ERF). Используй после создания или модификации отчёта для проверки корректности

Справочник паттернов компоновки управляемых форм 1С. Используй как справочник при проектировании форм — архетипы, конвенции, продвинутые приёмы

Прямой HTTP API к живой запущенной базе 1С:Предприятие через обработку MCP_Toolkit.epf (REST на http://localhost:6003/api/*). 12 эндпоинтов: запросы (execute_query), BSL-код (execute_code), метаданные (get_metadata), ссылки и навигация (get_object_by_link, get_link_of_object), по

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 shard` forks a [checkpoint](checkpoint.md) into `--count` leases

`crabbox share` grants other people access to an existing lease through the

`crabbox ssh` resolves a lease and prints a ready-to-run `ssh` command for it.

`crabbox status` prints the current state of a lease: its slug, provider,

`crabbox stop` ends a single lease. For coordinator-backed and direct cloud

`crabbox sync-plan` prints the local sync manifest and its size hotspots

`crabbox tunnel` opens one foreground SSH local port-forward to a resolved

`crabbox unshare` removes sharing rules from a coordinator-backed lease. It is

`crabbox usage` reports lease cost and usage estimates from the broker, broken down by user, organization, or the whole fleet.

`crabbox verify` checks a signed run receipt produced by `crabbox run --attest`.

`crabbox vnc` prints (or opens) the connection details for a desktop-capable

`crabbox warmup` leases a box and waits until it is ready: it provisions (or

`crabbox watch` runs a command on a warm lease, then watches the local

Linux portal viewers default to **Match window**: only the connected controller

`crabbox whoami` calls the broker's `/v1/whoami` endpoint and prints the

Vet a new or changed third-party dependency for license, provenance, and supply-chain risk before any install runs.

Inspect ADR health read-only; optionally select one ADR with --adr N.

{{SKILL_ENTRY:decision-lifecycle}}

Assemble the governance record for a range — commits, overrides, ADRs, sprint auto-decisions, open questions, checkpoint findings — into one dated audit packet. Read-only.

Lightweight Q&A about the project — answer from context and return, no routing, no state change.

Open-source, self-hosted AI media server. One server replaces your entire media stack, with a web app, native iPhone app, and an AI agent that gets things done.…

A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.

🦦 Crayotter: A Multimodal AI-Agent for Video-Editing, Video-Composing, and Video Production. Powered by Multimodal LLMs for autonomous Text-to-Video agentic fr…

Webextension tool for Odoo

基于多模态视觉感知与 LLM Agent 的 macOS 微信自动化框架 | Visual RPA for WeChat

The operational superset of Pi Coding Agent — everything Pi, plus observability, governance, recovery, evaluation and multi-agent orchestration. Pi Coding Agent…

Metrik 可以集中查看本机多个 Agent 的配额余量和 Token 消耗，目前支持 ChatGPT、Claude、GLM、Kimi 等主流 AI 服务。

An AI agent with a real self — soul she wrote, desires that drive her, a heartbeat for autonomous action, dreams she processes when you're away. Capability supe…

Production-ready open source terminal coding agent with readable, layered code: permission rules, OS sandboxing, MCP, skills, sub-agents, and Anthropic, OpenAI-…

Answer me with HTML — an agent skill that answers hard questions with a one-page HTML you can actually read. 让 AI Agent 用一页 HTML 回答复杂问题。

Prompt packs that make any AI agent a LaTeX expert — fix errors, polish writing, format for venues, read papers, recover source

Claude Code plugin: universal radial-tree exploration engine. One tree skill + swappable presets (brainstorm / attack / design / code-audit) for divergent ideat…

Claude Code + OpenClaw + Codex + WorkBuddy 中文教程 | 50篇完整教程 + 1张速查卡 | 80万+内容量 | 1500+实操示例 | AI Coding / Agent 四线学习路径（编程+助手+Agent+办公）

SmartLabelBench 2026: LLM-Powered Auto Annotation and Dataset Builder for Everything

从零开始玩转OpenClaw：最全面的中文教程，涵盖安装、配置、实战案例和避坑指南（github版）