LLM Mart Basic

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.

A green PR, a controller reporting success, and not one line of the new code running

Identifies state-changing entry points in smart contracts

Scans Android APKs for Firebase security misconfigurations

Safely analyzes and cleans up local git branches and worktrees, categorizing them as merged, squash-merged, superseded, or active work before deleting anything.

Audit a file, directory, or whole repo for insecure default configuration: fallback secrets, default credentials, fail-open switches, weak crypto, permissive access, debug leakage. Parallel sweeps collect candidates, then a refuting verifier traces each one to the security decision it reaches before it is reported.

Creates Semgrep rules with test-first methodology

This folder gathers the project's 9 slash commands in a single place, plus the sub-procedure files the [Sub-procedure Locations](#sub-procedure-locations) table rosters. **The harness lists every `.md` here as invocable regardless of `user-invocable: false`** (this README is itse

Discover unexpected connections in the LLM Wiki (Memex serendipity).

Export wiki to merged files for Claude.ai Project Knowledge.

Build the LLM Wiki knowledge graph.

Ingest a source document into the LLM Wiki.

Not a slash command — a sub-procedure of [`/wiki-lint`](wiki-lint.md), reached from `contradiction theme --fix`. Invoking it directly runs nothing.

Health-check the LLM Wiki for issues.

Search for latest news related to the LLM Wiki's key topics.

Query the LLM Wiki and synthesize an answer.

Generate a chronological timeline for an entity or concept in the LLM Wiki.

Create, follow, or list associative trails in the LLM Wiki (Memex trail-blazing).

Compute the recent 7-day spend trend (burn rate) from daily sessions and per-session cost.

Quick total cost plus a per-model one-liner from the dashboard pricing engine.

List the top N most expensive Claude Code sessions by inline cost.

Quick Claude Code config audit — counts per surface (user vs project) and totals.

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.