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.
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.
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.
/update-ticket
Update ticket
Update fields on an existing ConnectWise PSA ticket
/search-surveys
Search surveys
Search recent Crewhu surveys, surfacing detractors and promoters
/error-budget
Error budget
Run the reliability scorecard for one service, or every connected service if omitted - error-budget burn rate where an SLO is defined, trend reporting otherwise
/oncall-brief
Oncall brief
Generate the current on-call handoff brief - what's paging, what's escalated without an owner, last-shift history, and known-flaky alerts to watch
/postmortem
Postmortem
Draft a blameless postmortem for a given incident (by ID or name), or the most recent significant incident within a time window
/device-inventory
Device inventory
List all devices at a Domotz-monitored site
/device-lookup
Device lookup
Find a Domotz device by name, IP address, or MAC address
/site-overview
Site overview
Overview of a Domotz site's network health
/check-threat
Check threat
Pull full detail for one Checkpoint Harmony Email detection and the message behind it
/release-quarantine
Release quarantine
Restore quarantined mail to its recipients in Checkpoint Harmony Email, with task polling
/search-quarantine
Search quarantine
Find messages in Checkpoint Harmony Email by sender, subject, attachment hash or quarantine state
/search-threats
Search threats
Sweep security events in Checkpoint Harmony Email by type, state, severity and date range
/campaign-summary
Campaign summary
Get summary of recent phishing and training campaigns from KnowBe4
/group-report
Group report
Get security awareness metrics for a KnowBe4 group
/phishing-results
Phishing results
View phishing campaign results and click rates from KnowBe4
/training-status
Training status
Check training completion status for users or groups in KnowBe4
/user-risk
User risk
Get risk score and risk history for a KnowBe4 user
/org-health-check
Org health check
Full health check for one Proofpoint Essentials customer org
/search-org
Search org
Resolve a Proofpoint Essentials customer org by name or domain and show its details
/check-threats
Check threats
View recent TAP threat events including blocked messages, delivered threats, and click activity
An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作
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