LLM Mart Basic
@llm-mart · Joined Jun 2026
Use Gentle AI harness discipline for Pi work: clarify first, preserve OpenSpec artifacts, use strict TDD where available, delegate through subagents when useful, and protect review workload.
Create and triage GitHub issues from repository evidence. Trigger: issue creation, bug reports, feature requests, or issue approval.
Trigger: judgment day, judgement day, dual review, adversarial review, juzgar. Run explicit blind dual review with at most two scoped fix/re-judgment rounds.
Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.
Trigger: /skill-creation, skill creation, skill creator, create skill, new skill. Create LLM-first skills with valid frontmatter.
Trigger: improve skills, audit skills, refactor skills, skill quality. Audit and upgrade existing LLM-first skills.
Trigger: update skills, skill registry, actualizar skills, after skill changes. Index available skills by trigger and path.
Plan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.
Master router for the SOTA engineering skills library. Use this skill whenever the user asks to build, design, implement, refactor, harden, optimize, review, or audit an application, service, or codebase and the request spans more than one domain — or when you are unsure which sp
State-of-the-art API design and audit guidance (2026) covering REST/HTTP, GraphQL, gRPC, WebSockets/SSE/realtime, webhooks, versioning/evolution, and API security/operations. Use when designing or building any API surface (endpoints, schemas, protos, realtime channels, webhook se
State-of-the-art software and system architecture rules (2026) for both building and auditing. Use when designing, building, refactoring, or extending system architecture — boundaries, DDD, hexagonal/clean architecture, event-driven design, CQRS, sagas, messaging, caching, shardi
State-of-the-art rules for writing and auditing asynchronous and concurrent code across runtimes (Python asyncio, JS/Node, Go, Rust, JVM). Use when building anything with async/await, threads, processes, event loops, task groups, channels, or queues — and when auditing existing c
State-of-the-art C and C++ engineering rules (2026 baseline) that Claude applies when writing or auditing C/C++. Covers modern idioms (RAII, value semantics, smart pointers, C++23), memory safety (lifetimes, bounds, sanitizers, hardening flags), undefined behavior, security (SEI
State-of-the-art CLI and developer-tool UX guidance (2026) covering command and flag design, output and interaction (stdout/stderr, --json, TTY detection, exit codes, prompts), runtime behavior and lifecycle (signals, dry-run, idempotency, XDG paths, completions, telemetry), and
State-of-the-art cloud infrastructure architecture (2026). Applies when designing, building, or auditing cloud environments on AWS, GCP, or Azure — account/project structure and landing zones, IAM and workload identity, VPC/network design, DNS/TLS/CDN, compute selection (serverle
Secure coding and security auditing rules (2026 baseline). Use whenever BUILDING or modifying code that crosses a trust boundary — endpoints, handlers, auth/login/signup, sessions, JWT/OAuth, file uploads, payments, multi-tenant features, crypto/secrets handling, parsers, CLI/exe
State-of-the-art confidential computing and cryptographic PETs (2026) for BUILDING and AUDITING systems that protect workloads and data in use from the infrastructure they run on — the inverse of sandboxing. Covers TEE selection (AMD SEV-SNP, Intel TDX, ARM CCA realms, SGX enclav
State-of-the-art marketing copywriting and content guidance (2026) covering positioning and value propositions, headlines and landing-page copy, CTAs and social proof, SEO content (search intent, E-E-A-T, Google spam policies), and the accuracy/legal layer — claim substantiation,
State-of-the-art data engineering rules (2026) for building and auditing data pipelines and analytics infrastructure. Covers architecture and modeling (ELT, lakehouse vs warehouse, dimensional models, medallion layering), pipeline and orchestration discipline (idempotency, increm
State-of-the-art database engineering rules (2026) for designing, building, and auditing data layers. Covers engine selection, schema modeling, migrations, query and index craft, transactions and concurrency, reliability and scale, security, and vector/AI workloads. Use when desi
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.
/stale
Stale
Find concept pages nobody has touched
/tags
Tags
Audit the tag vocabulary
/timeline
Timeline
How my sources developed over time
/trace
Trace
Show which pages an answer used
/typed-links
Typed links
Add relation types where they matter
/weekly
Weekly
The weekly review
/build
Build
Implement an approved plan or issue in its own worktree, run the gate, open the pull request.
/close-out
Close out
Close a finished session: sweep for unfinished work, ask once, land, file the follow-ups, hand off, tell the sessions that depend on this one, then archive.
/handoff
Handoff
Write the repository handoff file for the next session, and record any durable learning.
/land
Land
Merge an approved pull request, clean up its worktree and branch, then check whether a release is due.
/plan
Plan
Turn a topic or issue into a plan the reviewer approves in the native plan pane.
/research
Research
Answer a research question with parallel read-only gatherers and one synthesized digest.
/review
Review
Review the branch's diff in two fresh contexts — scope against the spec, then quality — and report findings only.
/ia-refine-prompt
ia-refine-prompt
Transform a vague prompt into precise, structured AI instructions
/build
Build
Implement an approved plan or issue in its own worktree, run the gate, open the pull request.
/close-out
Close out
Close a finished session: sweep for unfinished work, ask once, land, file the follow-ups, hand off, tell the sessions that depend on this one, then archive.
/handoff
Handoff
Write the repository handoff file for the next session, and record any durable learning.
/land
Land
Merge an approved pull request, clean up its worktree and branch, then check whether a release is due.
/plan
Plan
Turn a topic or issue into a plan the reviewer approves in the native plan pane.
/research
Research
Answer a research question with parallel read-only gatherers and one synthesized digest.
面向中文开发者的 Claude Code Skills / Agents / Plugins 精选与原创技能库|按场景分类|复制即装|持续更新
17 views 0 likes原生 macOS Git 客户端,以 Agent 驱动仓库管理、审阅与协作。
15 views 0 likesA 股短线复盘看板:涨停池·连板梯队·龙虎榜·板块资金一屏看完,赚钱效应/晋级率/梯队断层/情绪周期等派生指标纯计算直出(不经过 AI),AI 只把数据串成能读的盘面研判。全本地运行,可用 Claude/Codex 订阅免 API key。| A-share short-term daily-review dashbo…
6 views 0 likes禁漫天堂 Agent Skills / AI 原生 JMComic 助手:通过 MCP 与 Skills 将 JMComic 注入你的 AI Agent. / AI-powered JMComic assistant for seamless integration with AI Agents via MCP & S…
13 views 0 likesPairlet (formerly CC Pocket / cc-pocket) — Continue your local AI coding tasks from phone, tablet, or desktop.
16 views 0 likesSelf-hosted Personal AI + agent runtime in .NET (NativeAOT-friendly)
7 views 0 likesA self-hosted knowledge platform for humans and AI agents — publish wikis, blogs, and portable Agent Skills.
14 views 0 likesNotion CLI with AI agent support. Smart queries, Obsidian sync, batch ops, backups, validation and more.
8 views 0 likesAI Coding Agent Multiplexer
16 views 0 likesIndependent executor–verifier orchestration for software changes.
9 views 0 likesAI-native, local-first video editor by Ribbi — runs entirely in the browser. Rust/WASM engine, WebGPU compositing, WebCodecs export; humans and LLM agents edit…
8 views 0 likesDistill your knowledge, memories, and decisions into an open-source, inspectable AI Agent Twin.
11 views 0 likes🔬 Harness Vibe Research with Self-evolving AI Scientists
3 views 0 likesPersonal AI desktop agent for Windows, macOS, Linux, Android & iOS. Set a goal, it works on its own. Teams (pair two desktops, agents + humans), Agent2Agent, Wo…
5 views 0 likesRun agents like a company. AgentOS is the native control plane for OpenClaw — manage agents, tasks, models, context, approvals, and runtime visibility from one…
15 views 0 likesCreate Agentic admin panels faster on TypeScript and Vue.js with AdminForth Framework. Setup main CRUD pages within minutes, extend as you need
9 views 0 likesOpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards
18 views 0 likesAn ebook reader with a self-evolving agent: it remembers your reading across books, and plugins extend the reader and the agent alike.
12 views 0 likesA curated list of awesome resources for vibe coding
14 views 0 likesAgentic Voice Notes for iPhone and macOS - Rust, Dioxus, LanceDB + RIG + SQLite
9 views 0 likes