LLM Mart Basic
@llm-mart · Joined Jun 2026
When GitHub Actions fails, fetch failing job logs and assign each failing job to a separate subagent that fixes its slice of the problem in parallel. Use for multi-job CI failures where jobs are independent.
Run four parallel read-only subagents that each review the same diff from a different lens — security, performance, correctness, and readability — then merge findings into one report. Use before merging large or risky PRs.
Explore a large codebase in parallel by launching multiple explore subagents that each investigate a different area simultaneously. Use when onboarding onto a new project, understanding architecture, or investigating a cross-cutting concern.
When multiple tests fail, assign each failing test file to a separate subagent that fixes it independently in parallel.
Profile a running web application's CPU performance using Cursor's built-in browser profiler. Captures call stacks, identifies slow functions, and suggests optimizations. Use when a page feels slow or janky.
Write effective prompts for LLMs — structure, few-shot examples, chain-of-thought, system prompts, and output parsing.
Test-driven development in Python using uv as the package manager. Covers the red-green-refactor cycle, vertical slicing, and uv project setup.
Build mobile apps with React Native and Expo — navigation, platform-specific code, performance, and native modules.
Execute a user flow step-by-step in Cursor's built-in browser while documenting each action, then emit a Playwright test that replays the same flow using stable selectors derived from the accessibility tree.
Open the app in Cursor's browser at multiple viewport sizes, screenshot each, and report any layout breakage.
Perform a thorough code review focused on correctness, maintainability, performance, and best practices.
Automatically persist useful context — research, decisions, learnings, templates — to workspace files so knowledge survives across conversations.
Generate a visual changelog or PR description by taking before/after screenshots of UI changes using Cursor's built-in browser. Use when preparing a PR with visual changes.
Audit technical SEO — meta tags, structured data, Open Graph, sitemaps, robots.txt, performance, and accessibility signals.
Set up a GitHub Actions CI/CD pipeline with linting, testing, type-checking, and deployment steps.
Set up Terraform infrastructure-as-code for cloud resources, including provider configuration, modules, state management, and CI integration.
When the user keeps asking for the same check to run (lint, tests, type-check), suggest a Cursor hook to automate it.
When the user repeats the same correction or convention multiple times, suggest a Cursor rule to encode it permanently.
When the user struggles with a task that a known skill could handle, suggest installing it.
Switch the current Cursor workspace to a different project directory using the cursor-app-control MCP. Use when the user asks to switch projects, open another repo, jump to a different codebase, or move to a worktree.
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.
Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.
Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.
An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.
/agent-audit
Agent audit
Audit agents spawned in the current/last run against the agent-selection taxonomy
/agent-diversity-review
Agent diversity review
Run the Agent Diversity Review gate and emit the result table
/audit-cron-arc
audit-cron-arc
Meta-analyze the effectiveness of a /loop arc — per-iteration metrics, LOC delta trend, saturation detection, and a keep/lengthen/delete recommendation.
/audit-doctrine
Audit doctrine
Audit the rules/ directory for missing foundational principles; output gap list with priority and justification
/audit-hook-wiring
Audit hook wiring
Validate ~/.claude/settings.json hooks block — event names, file existence, executability, matcher syntax; --fix repairs common issues
/audit-mcp-error-semantics
Audit mcp error semantics
Catch Resend-class bug (isError: false on HTTP 4xx/5xx) across all MCP server tool handlers
/audit-mcp-fleet
Audit mcp fleet
Healthcheck + drift detect + rotation-reminder across all MCP servers in ~/.claude/mcp-registry.json
/audit-mcp-mock-drift
Audit mcp mock drift
Catch mock/live divergence in MCP eval golden tests (anti-pattern #2 from eval-mock-mode-discipline)
/audit-prune-completeness
Audit prune completeness
Catch the github-mcp class of bug — CallTools handlers that exist but are invisible to Claude because ListTools never advertises them (orphaned), or ListTools entries that have no handler (zombies)
/audit-router
Audit router
Validate _router.md — check every referenced skill file exists; surface stale entries + orphan files; --fix prunes or stubs
/audit-tool-surface
Audit tool surface
List every active tool across all MCP servers and flag cross-MCP duplicates and semantic overlaps
/create-specialist-agent
Create specialist agent
Scaffold a new spawnable specialist agent def and register it in the agent taxonomy
/customer-changelog-check
Customer changelog check
Audit whether user-visible changes in the current session have matching CHANGELOG.md entries; report MISSING with suggested lines; --fix auto-appends
/dashboard-cockpit
Dashboard cockpit
Repeatable pass upgrading an Angular admin dashboard into a compact black-and-cyan developer-cockpit PWA
/deploy-forged-mcp
Deploy forged mcp
Deploy an MCP server generated by forge-from-openapi --target=mcp-server; detect transport, deploy, smoke-test, print .claude.json snippet
/drift-check
Drift check
Run the drift-detection checklist (incl. agent-drift signals); report + fix in-turn
/execute-prp
Execute prp
Execute a PRP — TodoWrite breakdown, parallel implementation, validate every gate, deploy, prove on prod
/final-review
Final review
Orchestrate the final review fan-out (integration + diversity + risk + release readiness)
/forge-from-openapi
Forge from openapi
Auto-generate a Claude Code skill (commands + types + client) from any OpenAPI 3.x spec URL or file path
/forge-graphql-skill
Forge graphql skill
Scaffold a complete Claude Code skill (commands + types + client) from a GraphQL endpoint or local schema file
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