LLM Mart Basic
@llm-mart · Joined Jun 2026
Design acquisition experiments, run them, and analyze results with a testing loop. Use when growth is flat or channels are unproven.
Inspect, template, install, and upgrade Helm releases safely; author and lint charts. Use for anything chart- or release-related.
Pause and ask for explicit user approval before sends, deletes, payments, deployments, or other irreversible actions. Use whenever stakes are high or the user previously required confirmation.
Audit infrastructure-as-code and runtime config - Dockerfiles, Kubernetes manifests, Terraform, CI/CD pipelines, and cloud settings for misconfigurations and hardening gaps. Use for /bastion, deploy reviews, or container/cloud hardening.
Generate images and iteratively edit saved image artifacts.
Prepare candidates for interviews - likely questions, STAR answers, mock sessions, and salary negotiation. Use before any interview round.
Extract invoice data - vendor, amounts, taxes, dates, line items - from PDFs and scans into structured records, with validation checks. Use for invoice processing and expense tracking.
Search, filter, and rank freelance and job opportunities on authorized sources with the career tool. Use to run a structured search or a watch.
Find keywords, estimate difficulty and intent, and map opportunities to pages. Use when planning content, launching a site, or expanding into new topics or languages.
Build recurring KPI reports, dashboards summaries, and alerts from multiple data sources. Use for daily/weekly business reporting.
Inspect pods, logs, services, ingress, and deployments with kubectl. Use for cluster debugging and safe read-mostly operations.
Identify target companies and decision-makers matching the ICP - build clean, sourced prospect lists. Use to fill the top of the sales pipeline.
Expert-level prospect hunting - find companies, people, roles, and verified contact context from open web sources. Use for any "find me leads / people / companies" request.
Score prospects on need, budget, authority, timing, and fit - decide who gets sales effort. Use to prioritize the pipeline honestly.
Optimize LinkedIn profiles - headline, about, experience, keywords, and visibility settings - for recruiters, clients, or partners. Use to improve professional visibility.
Optimize Google Business Profile, local landing pages, citations, and reviews for local visibility. Use for businesses serving specific cities or regions.
Macro overlay for the Trading Agent OS. Tape, vol, and benchmark first; single-name stories second.
Design engineering principles for making interfaces feel polished. Use when building UI components, reviewing frontend code, implementing animations, hover states, shadows, borders, typography, micro-interactions, enter/exit animations, or any visual detail work. Triggers on UI p
Study a market - size, trends, players, pricing, regulation, and opportunities - with sourced findings. Use before entering a market or positioning an offer.
Measure CAC, conversion rates, attribution, ROAS, CPL, and pipeline contribution from marketing data. Use to evaluate channels and build marketing reports.
/requirements
Requirements
Generate requirements from goal and research
/research
Research
Run or re-run research phase for current spec
/start
Start
Smart entry point that detects if you need a new spec or should resume existing
/status
Status
Show all specs and their current status
/switch
Switch
Switch active spec
/tasks
Tasks
Generate implementation tasks from design
/triage
Triage
Decompose a large feature into multiple dependency-aware specs (epic triage)
/tree-ring-update
Tree ring update
Check for or install a verified Tree Ring Memory CLI update without changing installation scope
/README
README
This directory contains the command implementations for the fast-agent CLI.
/close
Close
They operate it without you.
/outcome
Outcome
Promised, measured, accepted. A number nobody signed is claimed, not delivered.
/prep
Prep
Prepare the meeting. One page from the record.
/receipts
Receipts
Find the receipt. A dated line, or it did not happen.
/trust
Trust
Diagnose trust. Process gap, or they stopped trusting you.
/awesome-docs
awesome-docs
Generate, convert, and maintain animated GitHub-safe Markdown documents with animated SVG diagrams. Covers four SVG patterns (architecture flow, lifecycle loop, field carousel, timeline phases), guided interview for any doc type (README, architecture guide, runbook, API reference, tutorial, RFC, post-mortem, how-it-works, or custom), converting existing plain Markdown, diffing for stale diagrams, quality auditing, local preview, and multi-platform export. Use when asked to "create a README for X", "write an architecture doc", "animate this guide", "convert my doc to animated", "check if my diagrams are stale", or "export my doc for Confluence".
/aws-profile
aws-profile
AWS profile management for MCP servers — discover profiles across SSO, Granted, and assumed-role chains, check credential TTL, switch profiles across VS Code and Claude Code MCP configs, and scan AWS Organization accounts.
/aws
aws
Structured guidance for AWS CloudFront distributions, WAF web ACLs, Lambda@Edge, CloudFront Functions, Firewall Manager multi-account enforcement, and IAM/IRSA patterns. Covers OAC, cache policies, security headers, managed rule groups, rate limiting, FMS FIRST/MIDDLE/LAST ownership model, and production-ready Terraform generation.
/azure
azure
Azure identity (Workload Identity, OIDC, Entra ID), resource tagging, AKS platform patterns, RBAC scoping, and production-readiness review — with Terraform generation.
/chaos
chaos
Design, run, and debug Chaos Engineering experiments on Kubernetes using Litmus Chaos v3 and Chaos Mesh v2. Covers fault injection (pod-delete, network-loss, CPU stress, node-drain), steady-state hypothesis probes, GameDay runbooks, scheduled experiments, DORA feedback loop, and RBAC setup. Use when asked to "inject a pod fault", "run a GameDay", "schedule chaos experiments", or "debug why my ChaosEngine is stuck".
/checkov
checkov
Bootstrap Checkov on a developer laptop, run static or plan-level Terraform security scanning for AWS/Azure/GCP/EKS, resolve private GitHub modules via gh CLI, generate pre-commit hooks, produce multi-format output (cli/json/sarif/junit), and fix violations with AI-generated patches. Use when asked to "scan my Terraform", "run checkov", "check my IaC for security issues", "set up checkov pre-commit", or "fix checkov findings".
Make any song you can imagine
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