LLM Mart Basic
@llm-mart · Joined Jun 2026
Translate strings in Xcode String Catalogs (.xcstrings files). Prefer to use the `xcode-skills:translation-coordinator` skill for task-coordination. Use this skill when translating individual strings or working with String Catalogs. Should only be activated when translating a sin
Coordinates translation of an Xcode project or its String Catalogs (.xcstrings) into other languages. This is the main skill to activate when asked to work on translating strings, adding languages or working with .xcstrings files. Handles the full workflow: preparing the project
Modernizes UIKit apps for multi-window environments by replacing legacy shared-state APIs with context-appropriate modern alternatives. This includes references to mainScreen, interfaceOrientation, application and scene lifecycle, as well as safe area inset updates.
Explain content or any concept inside it at the depth the user needs — ELI5, practitioner level, or expert deep-dive — with a jargon glossary and context the original assumes. Use when the user says "explain this", "what does X mean here", "break this down", "I don't understand t
Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it. Use when the user asks to summarize a link or file, wants a TLDR, or asks "what does this video/article say" / "is th
Count how many independent origins are behind news coverage of a claim, instead of counting URLs. Queries GDELT for matching articles, collapses reprints and wire copy into single origins, and flags publication bursts that indicate syndication. Use when a claim appears to be conf
Render a finished BS report as a self-contained HTML page — score hero, filterable claims, readable on a phone, prints to a clean PDF. Use when the user wants to open, share, print, or show a report to someone who is not going to read a markdown table, or asks for "the HTML versi
Turn a BS report (or any analysis result) into ready-to-paste posts for X/Twitter, LinkedIn, Facebook, Reddit, Hacker News, or a newsletter issue — plus a branded image carousel (PNGs + PDF) for visual platforms. Use when the user wants to share, post, publish, or promote a repor
Craft long-form generative art for onchain platforms — Art Blocks, 256ART, Verse, Highlight, Plottables, bootloader.art, or a self-hosted drop — and for screen diffusion channels such as Artpoint. Covers hash-seeded determinism, resolution-agnostic rendering, features and rarity
Places, routes, travel times, distances and weather in China through the 高德地图 (Amap) MCP server. Use when the user asks how far, how long, how to get somewhere (car, transit, bike, foot), what is near a place, or about the weather in a Chinese city.
Compare two to five options — products, plans, places, tools, offers — on the criteria that matter to the user, in a table the user can re-weight, with a recommendation. Use when the user asks which to pick, for a comparison, or "X vs Y".
The user's 飞书 / Lark through its command-line tool (lark-cli) — agenda, people and groups, reading and sending messages, events, tasks, documents — with no app open. Use when the user mentions 飞书, Lark, a 群, a 日程 or a 飞书文档, or wants a colleague told something.
Go through recent mail and sort it into needs-a-reply, waiting-on-others, to-do and can-ignore, with draft replies ready for review. Use when the user asks to triage, sort, catch up on or clear their inbox — never to send anything on its own.
Where a parcel is, when it will arrive and what a shipment would cost, through the 快递100 MCP server — any Chinese courier (顺丰, 京东, 中通, 圆通, 韵达, 邮政 and more) from a tracking number. Use when the user asks 快递到哪了, 什么时候到, 查一下单号, or how much it costs to send something.
Prepare for a meeting — who is in it, what was last said with them, what the user owes them and wants from them — as a one-page brief. Use when the user asks to prepare for or get ready for a meeting, a call or a visit; a trigger can run it before every meeting with a client.
Read and answer messages in the chat apps on the user's phone (微信 and the like) through the screen — catch up, draft a reply in the user's voice, send only text they confirmed. Use when the user asks what someone said on WeChat or wants a chat answered.
The user's 腾讯会议 via the official tmeet CLI — upcoming meetings, creating, changing or cancelling one, inviting people, then the recording, minutes, transcript and attendance. Use when the user mentions 腾讯会议, a 会议号, a 会议链接, 纪要 or 录制, or wants a meeting set up or looked up.
Trains in China through the 12306 MCP server — routes, dates, options, connections and stops with no screen; booking only on the user's word, in the 12306 app on their phone, stopping before payment. Use when the user asks about 火车票 / 高铁 / 12306 or a train between two cities.
Plan a trip end to end — itinerary by day, a packing list to tick off, a budget, and the calendar checked for conflicts — as pages in the workspace. Use when the user is going somewhere for more than a day and wants a plan, an itinerary or a packing list.
Look back at the past week and set up the next one — calendar, mail, goals and files in one page, with a short plan. Use when the user asks for a weekly review, a week in review, "how did my week go" or to plan next week.
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.
Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.
Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.
Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.
A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.
Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.
Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.
AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.
AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.
A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.
One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.
"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.
A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.
The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.
Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.
Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.
A green PR, a controller reporting success, and not one line of the new code running
/sync-automation-setup
Sync automation setup
Setup automated synchronization workflows
/sync-conflict-resolver
Sync conflict resolver
Resolve synchronization conflicts automatically
/sync-issues-to-linear
Sync issues to linear
Sync GitHub issues to Linear workspace
/sync-linear-to-issues
Sync linear to issues
Sync Linear tasks to GitHub issues
/sync-pr-to-task
Sync pr to task
Link pull requests to Linear tasks
/sync-status
Sync status
Monitor GitHub-Linear sync health status
/sync
Sync
Synchronize task status with git commits, ensuring consistency between version control and task tracking.
/system-behavior-simulator
System behavior simulator
Simulate system performance under various loads with capacity planning, bottleneck identification, and optimization strategies.
/task-from-pr
Task from pr
Create Linear tasks from pull requests
/tdd
Tdd
Test-driven development workflow with Red-Green-Refactor process and branch management
/team-workload-balancer
Team workload balancer
Balance team workload distribution
/test-changelog-automation
Test changelog automation
Automate changelog testing workflow
/test-coverage
Test coverage
Analyze and report test coverage
/testing_plan_integration
Testing plan integration
I need you to create an integration testing plan for $ARGUMENTS
/timeline-compressor
Timeline compressor
Accelerate scenario testing with rapid iteration cycles, confidence intervals, and compressed decision timelines.
/todo
Todo
Manage project todos in a todos.md file with add, complete, remove, and list operations
/troubleshooting-guide
Troubleshooting guide
Generate troubleshooting documentation
/ultra-think
Ultra think
Deep analysis and problem solving mode
/unity-project-setup
Unity project setup
Sets up a professional Unity project with industry-standard structure and configurations
/update-branch-name
Update branch name
Update current git branch name based on analysis of changes made
Make any song you can imagine
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