LLM Mart Basic

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.

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

"Tiered plugin quality review: branch (quick gates),

Check GitHub Discussions for highly voted learnings and promote them to Issues.

Evaluate Claude Code rules in .claude/rules/ directories for quality

Audit skill quality, frontmatter compliance, token efficiency, and activation reliability. Recommends improvements.

Test Claude Code skills using RED/GREEN/REFACTOR TDD phases in fresh subagents to prevent priming bias.

Validate hooks for security, performance, and SDK compliance

Validate plugin structure, schema, and naming. Use for plugin creation, debugging, or verification.

Initialize projects with architecture-aware templates using paradigm research and selection guidance for the target domain.

Generate an implementation plan with system architecture design and dependency-ordered task breakdown from a specification.

Guide project ideation through Socratic questioning to generate briefs with validated approaches and decision rationale.

Execute implementation plan systematically with progress tracking and checkpoint validation

Run full attune lifecycle as a mission with state detection and phase routing

Initialize a new project with git setup, CI/CD workflows, pre-commit hooks, Makefiles, and language-specific tooling.

Build a project skill library under .claude/skills/ as a resumable mission: discover, author in parallel, review adversarially.

Create specs from project briefs with acceptance criteria and testable requirements

Update existing project configurations to current best practices with selective component upgrades

Validate project structure and configurations against best practices with detailed issue reporting

Convene a multi-LLM expert panel to pressure-test strategic decisions with adversarial review and reversibility assessment.

Generate visual diagrams of codebase structure using Mermaid Chart MCP rendering.

Audit codebase for AI-generated code quality issues (vibe coding, Tab bloat, slop)

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.