LLM Mart Basic
@llm-mart · Joined Jun 2026
Run GitOps deployments with ArgoCD - inspect applications, diff desired vs live state, deploy through git commits and PRs, sync and verify rollouts.
Country-aware equity skill. Yahoo-quoted names and country ETFs only.
Plan a product or feature launch - segments, messaging, assets, channels, and launch calendar. Use before releasing anything new to the market.
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.
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.
/do-issue
do-issue
Implement issues (GitHub/GitLab/Bitbucket) using progressive analyze-specify-plan-implement workflow
/fix-pr
fix-pr
Address PR/MR review feedback by reading comments, implementing fixes, and resolving threads. GitHub and GitLab support.
/fix-workflow
fix-workflow
Retrospective analysis and improvement of workflow components with self-evolving patterns
/fixit
fixit
Fix broken functionality from pasted error output, stack traces, or
/git-catchup
git-catchup
Summarize recent git history since a baseline with structured analysis of what changed, why, and what to watch for.
/merge-docs
Merge docs
Consolidate ephemeral LLM-generated markdown into permanent documentation.
/pr-review
pr-review
Review pull requests with scope validation, code analysis, and line comments. Supports GitHub PRs and GitLab MRs.
/prepare-pr
prepare-pr
Prepare a PR end-to-end by updating documentation, running tests, dogfooding checks, and validating with code review.
/resolve-threads
resolve-threads
Batch-resolve unresolved PR/MR review threads via GraphQL API (GitHub/GitLab)
/sync-capabilities
Sync capabilities
Detect and fix drift between plugin.json registrations and capabilities reference documentation
/update-ci
Update ci
Update pre-commit hooks and CI/CD workflows based on recent project changes
/update-dependencies
update-dependencies
Scan and update dependencies across all ecosystems with conflict detection
/update-docs
Update docs
Update project documentation with consolidation, debloating, AI slop detection, capabilities sync, and accuracy verification.
/update-plugins
Update plugins
Audit and sync plugin.json registrations with actual disk contents. Detects missing or stale skills, commands, agents, hooks.
/update-tests
update-tests
Review and update test coverage using TDD/BDD methodology with quality validation. Generates tests for changed code.
/update-tutorial
update-tutorial
Generate or update tutorials with VHS and Playwright recordings
/update-version
Update version
Bump project versions using git-workspace-review and version-updates skills.
/validate-pr
validate-pr
Generate and self-execute a diff-derived test plan for a PR. Reads
/doc-generate
doc-generate
Generate new documentation with human-quality writing.
/doc-polish
doc-polish
Clean up AI-generated content and improve documentation quality.
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