LLM Mart Basic
@llm-mart · Joined Jun 2026
How to create new skills for this HQ — format, frontmatter, content structure. Use when you need to add a new skill to this repository, or when reviewing whether an existing skill is well-formed.
System design patterns, Clean Architecture, SOLID principles, domain modeling. Use when making architectural decisions, designing new modules, refactoring a tangled codebase, or reviewing system design.
Debugging methodology, hypothesis testing, reading stack traces, isolating issues. Use when facing an unexpected bug, a flaky test, a production incident, or any situation where the cause isn't immediately obvious.
Tailwind CSS v4 patterns, component styling, dark mode, responsive design, and design system integration. Use when styling components or reviewing CSS.
TDD red-green-refactor cycle, test structure, mocking patterns for Vitest/Jest. Use when starting a new feature, fixing a bug, or refactoring — write the test first, then the implementation.
TypeScript type system patterns, generics, utility types, and strict mode best practices. Use when writing or reviewing TypeScript code.
Web design best practices, accessibility, responsive layout, color contrast. Use when auditing a UI for a11y compliance, designing responsive layouts, or establishing design standards across a web app.
Playwright E2E patterns, Testing Library component tests, test selectors. Use when writing browser tests, component tests, or setting up an E2E testing pipeline for a Next.js or React app.
Generating Excel files with xlsx/exceljs in Node.js. Use when generating .xlsx reports, data exports, dashboards, or spreadsheets from database data.
Reports on the health and state of architecture documentation (counts of ADRs, reviews, activity levels, documentation gaps). Use when the user asks "What's our architecture status?", "Show architecture documentation", "How many ADRs do we have?", "What decisions are documented?"
Creates a NEW Architectural Decision Record (ADR) documenting a specific architectural decision. Use when the user requests "Create ADR for [topic]", "Document decision about [topic]", "Write ADR for [choice]", or when documenting technology choices, patterns, or architectural ap
Displays the roster of architecture team members with their specialties and expertise areas. Use when the user asks "Who's on the architecture team?", "List architecture members", "Show me the architects", "What specialists are available?", "Who can I ask for reviews?", or wants
Enables and configures Pragmatic Guard Mode (YAGNI Enforcement) to prevent over-engineering. Use when the user requests "Enable pragmatic mode", "Turn on YAGNI enforcement", "Activate simplicity guard", "Challenge complexity", or similar phrases.
Statistical significance calculator for A/B test results with sample size requirements, segment breakdowns, and hypothesis generation. Use when feeding test results, checking statistical significance, calculating sample sizes, analyzing experiment outcomes, or generating next tes
Designs statistically valid split tests for ads, audiences, landing pages, or bid strategies. Calculates required sample sizes before you start, monitors results during the test, and calls winners when statistical significance is actually reached — not when you feel like one is w
Evaluates your campaign and ad set structure against your actual goals and budget. Flags over-segmentation that fragments your data, under-segmentation that hides performance differences, budget allocation issues, and consolidation opportunities that would improve algorithmic del
Analyzes your top performing ads, identifies what's working in the hooks, CTAs, messaging angles, and formats, then generates new variants that follow the same winning patterns while introducing enough variation to test meaningfully. Platform: Google and Meta.
Reviews all your Google Ads extensions — sitelinks, callouts, structured snippets, call extensions, image extensions, price extensions — across every campaign. Flags what's missing, what's underperforming, what's outdated, and writes replacements based on your best performing ads
Multi-channel budget optimization using MER, marginal ROAS, and diminishing returns analysis. Use when pasting multi-channel spend and results data, requesting reallocation recommendations, analyzing budget shift priorities, or optimizing marketing efficiency across Google, Meta,
Audit how visible your brand is inside AI answers (ChatGPT, Claude, Gemini, Perplexity, AI Overviews). Claude builds a prompt panel for your category, scores where you show up vs competitors, and turns the gaps into a prioritized fix list. Platform: AI visibility.
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.
/sonar
sonar
SonarQube 정적분석 실행 및 결과 조회. 코드 품질·보안 핫스팟·커버리지 확인 시 사용.
/fix-issue
fix-issue
GitHub 이슈 #$ARGUMENTS 를 처리한다(이슈 우선 워크플로):
/sdlc-cycle
sdlc-cycle
이슈/기획서 기준 SDLC 한 사이클(이슈→개발→테스트→검증→PR)을 사람 개입 없이 자동 실행.
/fix-issue
fix-issue
GitLab 이슈 #$ARGUMENTS 를 처리한다(이슈 우선 워크플로):
/sdlc-cycle
sdlc-cycle
이슈/기획서 기준 SDLC 한 사이클(이슈→개발→테스트→검증→MR)을 사람 개입 없이 자동 실행.
/README
README
Invoke a repeated task with `/name`. File name = command name (`fix-issue.md` → `/fix-issue`).
/fix-issue
fix-issue
Handle issue #$ARGUMENTS (issue-first workflow):
/knowledge-graph
Knowledge graph
Renders the connection structure of the AGENTS.md ecosystem
/sdlc-cycle
sdlc-cycle
Automatically runs one SDLC cycle (issue → development → testing → verification → PR/MR) based on an issue or spec, without human intervention.
/sonar
sonar
Run SonarQube static analysis and check the results. Use to check code quality, security hotspots, or coverage.
/fix-issue
fix-issue
Handle GitHub issue #$ARGUMENTS (issue-first workflow):
/sdlc-cycle
sdlc-cycle
Automatically runs one SDLC cycle (issue → development → testing → verification → PR) based on an issue or spec, without human intervention.
/fix-issue
fix-issue
Handle GitLab issue #$ARGUMENTS (issue-first workflow):
/sdlc-cycle
sdlc-cycle
Automatically runs one SDLC cycle (issue → development → testing → verification → MR) based on an issue or spec, without human intervention.
/plan-status
Plan status
Show Hermes planning-with-files status for the current project.
/plan
Plan
Start Hermes planning-with-files workflow in the current project.
/plan-ar
Plan ar
بدء تخطيط الملفات بنمط Manus. إنشاء task_plan.md و findings.md و progress.md للمهام المعقدة.
/plan-attest
Plan attest
Lock the current task_plan.md content with a SHA-256 attestation. Hooks then refuse to inject plan content if the file diverges from the attested hash, blocking silent tampering. Use --show to print the stored hash, --clear to remove the attestation. Available since v2.37.0.
/plan-de
Plan de
Starte Manus-artige Dateiplanung. Erstelle task_plan.md, findings.md, progress.md für komplexe Aufgaben.
/plan-doctor
Plan doctor
Self-check for the planning-with-files mechanisms that fail silently: plan resolution, hook injection, canonicalizer path shape, attestation state, install surfaces, and per-fire hook latency. Run it whenever hooks seem quiet or after installing on a new machine. Available since v3.6.0.
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