LLM Mart Basic
@llm-mart · Joined Jun 2026
Build and operate CI/CD pipelines using Cloud Build, Cloud Deploy delivery pipelines, Artifact Registry, SLSA provenance generation, and release gating with approval workflows.
Configure Assured Workloads for regulated workloads (FedRAMP High/Moderate, HIPAA, PCI-DSS, ITAR, IL4/IL5), audit controls implementation, and gather compliance evidence using Security Command Center and Asset Inventory.
Operate GCE instances, manage Managed Instance Groups (MIGs), configure OS patch management via VM Manager, design preemptible/spot VM strategies, and manage startup/shutdown scripts.
Convert an arXiv paper to Markdown for reading or implementation reference. Use when asked to convert, fetch, or create documentation for an arXiv paper by its ID, or when a paper with a known arXiv ID needs to be read or referenced. Fetches the LaTeX source when available (plus
Look up arXiv paper metadata via the arXiv API. Use when you need to get a journal DOI from an arXiv ID (for OpenAlex integration), or find an arXiv ID from a title/keyword search (for arxiv-doc-builder). Requires the `arxiv` Python package.
Perform triangulated cognitive research combining SQLite memory, GitHub 10k+ stars patterns, and ToT DAG benchmarking before critical architectural decisions. Automatically triggers subagent research escalation when confidence is low (<0.70). Keywords: research, benchmark, github
Core Kilo-Kit skill enforcing Hard-Gate and Iron Law principles. Ensures AI agents scan the system and codebase before proposing solutions. Keywords: hard-gate, iron-law, evidence, scan, verify, system-check, codebase
Use when implementing or managing persistent, hierarchical memory systems for AI agents. Covers cross-session state, fact supersession, and self-managed memory tools to enable long-term recall and adaptive agent behavior.
Advanced Agentic Coding framework providing mission briefs, guardrails, and integration hints for complex tasks. This skill ensures high-quality output through disciplined automation and systematic workflows.
Use when integrating or optimizing Model Context Protocol (MCP) servers and clients. Keywords: MCP, Model Context Protocol, tool discovery, lazy loading, sampling, resource subscription, MCP server.
Use when coordinating multiple specialized agents for complex distributed tasks. Keywords: multi-agent, orchestrator, subagent, handoff, swarm, supervisor, agent topology, coordination.
Use when designing, implementing, or debugging complex agentic workflows using state machine patterns. Keywords: state machine, durable execution, agent orchestration, graph-based agents, workflow checkpoints, C4 protocol.
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration) and ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding videos with specific c
Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.
SEO fundamentals, E-E-A-T, Core Web Vitals, and Google algorithm principles.
Use when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAIu2019s video API using the bundled CLI (`scripts/sora.py`), including requests like u201cgenerate AI video,u201d u201cSora,u201d u201cvideo remix,u201d u201cdownload video/thumbnail/s
Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating des
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.
Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that
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.
/doc-api
Doc api
Generate API documentation from code
/docs
Docs
Update or generate YAML documentation for SQL models with proper descriptions and tests
/e2e-setup
E2e setup
Configure end-to-end testing suite
/estimate-assistant
Estimate assistant
Generate accurate project time estimates
/explain-code
Explain code
Analyze and explain code functionality
/explain-issue-fix
Explain issue fix
Explain how tasks in an issue were implemented with detailed breakdown
/find
Find
Search and locate tasks across all orchestrations using various criteria.
/five
Five
Apply the Five Whys root cause analysis technique to systematically investigate issues
/fix-github-issue
Fix github issue
Analyze and fix a GitHub issue with comprehensive testing and verification
/fix-issue
Fix issue
Fix a specific issue or problem with the given identifier or description
/fix-pr
Fix pr
Fetch unresolved comments for current branch's PR and fix them
/future-scenario-generator
Future scenario generator
Generate and analyze future scenarios with plausibility scoring, trend integration, and uncertainty quantification.
/generate-api-documentation
Generate api documentation
Auto-generate API reference documentation
/generate-linear-worklog
Generate linear worklog
You are tasked with generating a technical work log comment for a Linear issue based on recent git commits.
/generate-test-cases
Generate test cases
Generate comprehensive test cases automatically
/generate-tests
Generate tests
Generate comprehensive test suite for $ARGUMENTS following project testing conventions and best practices.
/git-status
Git status
Show detailed git repository status
/hotfix-deploy
Hotfix deploy
Deploy critical hotfixes quickly
/husky
Husky
Verify repository is in working state by running CI checks and fixing issues
/implement-caching-strategy
Implement caching strategy
Design and implement caching solutions
Implementation of Podlite markup language
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