LLM Mart Basic
@llm-mart · Joined Jun 2026
Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variant
Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI do
Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. Use when Codex needs to create a new local plugin, add optional plugin structure, or g
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
Add PostHog analytics to a web application, including event tracking, page views, feature flags, and session replay.
Generate OpenAPI/Swagger documentation for an API, including endpoint schemas, request/response types, and interactive docs UI.
Add authentication to a web application using NextAuth.js (Auth.js), including OAuth providers, session management, and protected routes.
Dockerize an application with a production-ready Dockerfile, docker-compose setup, and .dockerignore.
Set up Playwright end-to-end testing in a project, including test configuration, example tests, and CI integration.
Add Sentry error tracking, performance monitoring, and source maps to a web application.
Add feature flags to an application for gradual rollouts, A/B testing, and kill switches using PostHog, LaunchDarkly, or a simple local implementation.
Integrate Stripe payments into a web application, including checkout sessions, webhooks, and customer portal.
Start the dev server, discover API routes from the codebase, hit every endpoint, and report which ones return errors.
Document technical decisions as Architecture Decision Records (ADRs) with context, options considered, and rationale.
Audit and optimize application performance, including bundle size, rendering, database queries, and Core Web Vitals.
Perform a systematic security audit of a codebase, checking for OWASP Top 10 vulnerabilities, secrets exposure, and insecure patterns.
Run TypeScript type checking after file edits and immediately flag type errors before moving on. Uses Cursor hooks for automatic enforcement.
Monitor a pull request for CI failures, review comments, and merge conflicts — then fix them automatically. Use when a PR is open and you want the agent to keep it merge-ready.
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.
/fix-issue
fix-issue
이슈 #$ARGUMENTS 를 처리한다(이슈 우선 워크플로):
/knowledge-graph
Knowledge graph
AGENTS.md 생태계(rules·memory·agents·skills·commands·workflows)의 연결 구조를
/sdlc-cycle
sdlc-cycle
이슈/기획서 기준 SDLC 한 사이클(이슈→개발→테스트→검증→PR/MR)을 사람 개입 없이 자동 실행.
/sonar
sonar
SonarQube 정적분석 실행 및 결과 조회. 코드 품질·보안 핫스팟·커버리지 확인 시 사용.
/fix-issue
fix-issue
GitHub 이슈 #$ARGUMENTS 를 처리한다(이슈 우선 워크플로):
/sdlc-cycle
sdlc-cycle
이슈/기획서 기준 SDLC 한 사이클(이슈→개발→테스트→검증→PR)을 사람 개입 없이 자동 실행.
/fix-issue
fix-issue
GitLab 이슈 #$ARGUMENTS 를 처리한다(이슈 우선 워크플로):
/sdlc-cycle
sdlc-cycle
이슈/기획서 기준 SDLC 한 사이클(이슈→개발→테스트→검증→MR)을 사람 개입 없이 자동 실행.
/README
README
Invoke a repeated task with `/name`. File name = command name (`fix-issue.md` → `/fix-issue`).
/fix-issue
fix-issue
Handle issue #$ARGUMENTS (issue-first workflow):
/knowledge-graph
Knowledge graph
Renders the connection structure of the AGENTS.md ecosystem
/sdlc-cycle
sdlc-cycle
Automatically runs one SDLC cycle (issue → development → testing → verification → PR/MR) based on an issue or spec, without human intervention.
/sonar
sonar
Run SonarQube static analysis and check the results. Use to check code quality, security hotspots, or coverage.
/fix-issue
fix-issue
Handle GitHub issue #$ARGUMENTS (issue-first workflow):
/sdlc-cycle
sdlc-cycle
Automatically runs one SDLC cycle (issue → development → testing → verification → PR) based on an issue or spec, without human intervention.
/fix-issue
fix-issue
Handle GitLab issue #$ARGUMENTS (issue-first workflow):
/sdlc-cycle
sdlc-cycle
Automatically runs one SDLC cycle (issue → development → testing → verification → MR) based on an issue or spec, without human intervention.
/plan-status
Plan status
Show Hermes planning-with-files status for the current project.
/plan
Plan
Start Hermes planning-with-files workflow in the current project.
/plan-ar
Plan ar
بدء تخطيط الملفات بنمط Manus. إنشاء task_plan.md و findings.md و progress.md للمهام المعقدة.
Paper trading simulator for Polymarket — built for AI agents. MCP server, live order books, strategy backtesting. Install: npx clawhub install polymarket-paper-…
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1 views 0 likesProfessional cloud architecture diagrams with official AWS, Azure and GCP icons, from Terraform code or a plain JSON graph. MCP server + agent skill.
1 views 0 likesA ready-to-use self-growing desktop AI assistant for long-running tasks, memory, agents, tool reviews, MCP, and high-concurrency workspace automation. / 开箱即用的自我…
2 views 0 likesCollection of templates using the Alchemyst AI Platform for your next big AI app.
1 views 0 likesFast, exact LLM decoding on Apple Silicon (MLX) behind an OpenAI-compatible endpoint
6 views 0 likesThe open source AI research agent.
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