LLM Mart Basic
@llm-mart · Joined Jun 2026
代码重构(保持外部行为不变,改善内部结构)
管理 feature 关系链(set/query/impact/orphans/rebuild/validate)
迭代复盘——读状态机历史出趋势报告
安全审计
交互式配置 PDLC(当前:状态栏 statusline 的启用/停用/展示项)
发布工作流(收评审通过的功能 → 跑测试 → bump VERSION → 更 CHANGELOG → tag)
管理 00_standards 规范型 surface 产物(add/edit/archive/index)
查看项目 PDLC 状态总览(读 docs/.pdlc-state/ 输出进度)
阶段内任务跟踪(创建/更新任务列表,附在工作流上)
TDD 测试先行(按设计文档生成失败的测试用例)
立测试地基(探测技术栈 → 验证并生成 test-commands.yml → 脚手架测试目录 → 接本地钩子)
UI/UX 设计
UI/UX 专业设计(PDLC 集成层,依赖 ui-ux-pro-max)
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have quest
Builds Python components using the compone framework for type-safe HTML/XML/RSS generation. Use when working with compone, creating Python components, generating markup in Python, or building framework-agnostic component libraries.
Use this when working in a project with devenv.nix, or when devenv.sh development environment setup, services, dependencies, or Nix packages are relevant.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Analyze Hacker News thread sentiment from a provided HN thread URL.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Write clean, readable Pythonic code. Use this skill any time you write or change a Python file.
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.
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.
/photo-pass
Photo pass
Art-direction photo pass over the site: add photography only where it earns its place
/tree-ring-audit
Tree ring audit
Audit consolidate or forget stale sensitive or superseded Tree Ring Memory entries
/tree-ring-capture
Tree ring capture
Capture a concise validated lesson decision warning or preference in Tree Ring Memory
/tree-ring-certify
Tree ring certify
Generate Tree Ring harness or recall-quality evidence without confusing it with the full framework release suite
/tree-ring-dox-sync
Tree ring dox sync
Preview and synchronize DOX-style AGENTS.md guidance as source-linked Tree Ring memory
/tree-ring-recall
Tree ring recall
Recall durable Tree Ring Memory context before starting or resuming work
/tree-ring-status
Tree ring status
Check receipt-backed Tree Ring harness readiness without claiming configuration is activation
/browser-debug
Browser debug
Запусти Яндекс Браузер с удаленной отладкой (Chrome DevTools Protocol) для отладки веб-приложений.
/check-uuid
Check uuid
Проверь уникальность UUID в MDO-файлах 1С по указанному пути (или текущему проекту).
/docx-to-md
Docx to md
Конвертируй DOCX-файл в Markdown.
/move-project
Move project
Перенеси проект в другую папку, сохранив память, сессии и планы Claude Code.
/accept
Accept
Command dispatcher for accept.
/apply
Apply
Command dispatcher for apply.
/brainstorm
Brainstorm
Command dispatcher for brainstorm.
/change
Change
Command dispatcher for change.
/define
Define
Command dispatcher for define.
/design
Design
Command dispatcher for design.
/discover
Discover
Command dispatcher for discover.
/plan
Plan
Command dispatcher for plan.
/propose
Propose
Command dispatcher for propose.
The fastest way to put Volcengine Ark in your terminal and your AI agent — go from prompt to generated media, multimodal answer, or deployed endpoint in a sin…
12 views 0 likes本地私有、开源的自进化跨平台 AI 内容发现 Agent:先理解你,再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。(支持 deepseek harness 插件) | Local-first open-source cross-platform AI cont…
13 views 0 likesPersistent memory for AI coding agents — one verified kb_search replaces the grep/find/ls orientation loop. Cross-repo, CPU-only, zero token spend.
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13 views 0 likesThe batteries-included, No-Code FinOps automation platform, with the AI you trust.
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27 views 0 likesXLSX parser for LLMs, RAG, LangChain, LangGraph, CrewAI, Claude, MCP — turns Excel (.xlsx) into citation-ready JSON with formulas, charts, dependency graphs, an…
24 views 0 likesHermes-Relay — Your Hermes AI agent, in your pocket — chat, voice, and control.
14 views 0 likesA minimalist, terminal-native coding agent written in C.
13 views 0 likesAI-powered OSINT agent with interactive REPL, MCP server, and CLI. 19 tools. Works with Claude, GPT-4, or local models. For authorized security research only.
12 views 0 likesAI pair programming in your terminal — one static binary, sub-ms startup, any model
11 views 0 likesWhere data access meets operational intelligence
11 views 0 likesBuild your own security agents. Open-source framework for agents with live, read-only access to your infrastructure, with no path to widen it. Reasons across AW…
11 views 0 likesMulti-workspace terminal aggregator with Claude Code AI integration
15 views 0 likesGo implementation of AI coding agent
13 views 0 likesHarness engineering beginner tutorial, from 0 to 1
15 views 0 likesGenerate images directly in DeepSeek Harness chats
26 views 0 likesA smarter, self-hosted AI assistant — multi-user, multi-agent.
15 views 0 likesTurn any research paper into a commercialization report — 6 AI agents, TRL/MRL scoring, patent landscape, market intelligence, verified citations. DeepSeek / Op…
14 views 0 likesPower BI CLI - semantic models (.NET TOM) and PBIR reports for token-efficient AI agent usage, built for Claude Code
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