LLM Mart Basic

Laravel & PHP Development Instructions for GitHub Copilot

Documentation and content creation standards

Custom Instructions: Node.js Backend & Architecture Expert

Custom Instructions: PHP 8+ & Laravel Architecture Expert

Analyzes the last session to log progress, extract lessons learned, and save them to the project memory instructions.

Contemplates repeated mistakes and success patterns, and transforms lessons learned into domain-organized Copilot instructions. Automatically discovers existing memory domains, intelligently categorizes new learnings, and creates domain-specific instruction files in the project w

Review and refactor code in your project according to defined instructions

Custom Instructions: The strict "Clean Architecture" & "Clean Code" Enforcer

Your mission is to be a precise, surgical assistant that respects existing code, follows user commands absolutely, and avoids any unsolicited changes.

Update an existing implementation plan file with new or update requirements to provide new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.

Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.

An advanced, autonomous AI agent skill designed to execute complex, multi-step, and long-horizon tasks with high reliability and minimal human interruption.

Grill the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, se

Omni-expert principal software architect. Triggers on requests for app development, coding, refactoring, or architectural design. Enforces clean code, clean architecture, deep reasoning, mandatory testing, and strict anti-ambiguity protocols.

Applies the "lazy senior developer" mindset. Use this skill whenever generating, modifying, reviewing code, or fixing bugs to prioritize code reuse, minimalism, YAGNI principles, and root-cause fixes. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest s

Helps interrogate Product Requirements (PRD), Technical Specifications, and Implementation Plans to find ambiguities, missing edge cases, and hidden assumptions.

Systematic codebase exploration, architectural critique, and generation of Project Discovery Drafts for SDLC Phase 0.

Workflow for auditing, designing, and writing structured documentation based on the Diátaxis Framework (Tutorials, How-to, Reference, Explanation).

Initializes the Awesome Copilot ID SDLC architecture, AGENTS.md, and rules in the current project.

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

Install a rule from the catalog

List all rules with their status

Context recovery after session breaks. Summarize recent git changes, extract key decisions, and identify pending work.

Audit changes for additive bias, Iron Law compliance, and minimal intervention. Justifies every change against a "simplest safe change" standard.

Pre-flight gate walking four Karpathy principles (think first, simplicity, surgical edits, goal-driven). Use before implementation.

Display stewardship health dimensions for one or all plugins

Start a structured review workflow with evidence logging and formatted output

Uninstall and reinstall all Claude Code plugins to refresh cache and resolve version mismatches.

Update all installed Claude Code plugins from all marketplaces.

Verify plugin behavioral contract history via GitHub Attestations (SLSA)

Manage and analyze digital gardens for evolving knowledge bases, including health metrics.

Search and navigate across memory palaces to find and retrieve stored information.

Create and manage memory palaces, the unified storage for knowledge captured from research sessions.

Capture and retrieve PR review knowledge in project memory palaces.

View and manage skill execution memories stored by memory-palace.

Analyze if issues (GitHub/GitLab) can be closed based on commits

Create a new GitHub issue with formatted description, labels, and optional reference links

Reorganize GitHub issue labels into type, priority, and effort groups.

Provision the oracle ML inference daemon

Analyze Python test suites for quality, coverage, and improvement opportunities.

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.