LLM Mart Basic
@llm-mart · Joined Jun 2026
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
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
/check-async
check-async
Analyze Python async code for correctness, patterns, and potential issues.
/run-profiler
run-profiler
Profile Python code for performance bottlenecks using cProfile, memory_profiler, or py-spy.
/api-review
api-review
Evaluate public API surfaces against guidelines and exemplars.
/architecture-review
architecture-review
Principal-level architecture assessment against ADRs and design patterns.
/bug-review
bug-review
Systematic bug detection with language-specific expertise.
/full-review
full-review
Run a detailed review that picks its dimensions from what the codebase and diff contain.
/harden
harden
Active security hardening of the existing codebase, with a report and concrete proposals to apply.
/makefile-review
makefile-review
Audit Makefiles for best practices and portability.
/math-review
math-review
Intensive mathematical analysis for numerical stability and correctness.
/performance-review
performance-review
Static-analysis hot-spot review for time and space complexity.
/refine-code
refine-code
Analyze code quality across 6 dimensions (duplication, algorithms, clean code, architecture, errors, style) and apply fixes.
/rust-review
rust-review
Expert-level Rust audits for safety and correctness.
/shell-review
shell-review
Audit shell scripts for correctness, safety, and portability.
/skill-history
skill-history
View recent skill executions with full context and error details.
/skill-review
skill-review
Analyze skill execution metrics and identify unstable or underperforming skills.
/test-review
test-review
Evaluate and upgrade test suites with TDD/BDD rigor.
/control-desktop
control-desktop
Run a computer use task on the desktop via Claude's vision and action API
/acp
Acp
Stage changes, generate conventional commit message, commit, and push to current branch. One-shot git add-commit-push.
/commit-msg
Commit msg
Draft a Conventional Commit message for staged changes. Analyzes diffs, classifies change type, and formats scope/body.
/create-tag
Create tag
Create git release tags from merged PRs or version args. Pushes a v-prefixed tag to trigger the release pipeline, then confirms the run started.
Make any song you can imagine
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28 views 0 likesDeterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.
31 views 0 likesDeterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…
20 views 0 likesNative Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…
34 views 0 likesAgent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
15 views 0 likesGit for agent memory. Branches, diffs, PRs, and rollback for what your agents know.
35 views 0 likesMulti-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…
16 views 0 likesProduction-grade MCP server for MikroTik RouterOS with secure AI-native network automation.
31 views 0 likes