AI Agents & LLM Ops Skills for Aider

The "Skill for building Skills": Automate creating, testing, and optimisation of custom workflows.

Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.

Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.

Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.

Reduce Manus v5 credit consumption by 30-75% through intelligent task routing and autonomous strategy selection.

Ultra-fast discovery and routing for large-scale AI agent skill libraries.

Transform repetitive, messy prompts into structured, reusable SKILL.md files for your AI agents.

A risk-aware, evidence-based engineering lifecycle protocol for robust agentic task execution and safety.

Master the Agensi open standard to build, structure, and document reliable reusable skills for AI coding agents.

Audit and de-conflict complex agent instruction stacks to fix inconsistent behavior and logic bloat.

Automate real Chrome profiles with a professional CLI, SDK, and MCP-ready automation stack for AI agents.

Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.

Published AI benchmarks measure brains in jars. They test models in isolation or within a single reference harness — and then attribute all performance to the model. This skill teaches you to decompose agent performance into its two actual components: model capability and harness multiplier. The result is evaluations that predict real-world behavior instead of benchmark theater.

A 5-gate pre-flight audit to ensure your AI agent has the context, scope, and safety boundaries needed to code successfully.

agent workflow controller

by Roy Yuen

Free

Design and audit complex multi-agent workflows with rigorous ownership, evidence gates, and failure recovery policies.

Transform raw ideas into high-performance, structured prompts optimized for Grok’s reasoning and wit.

AI Coding Prompt Refiner for Better Developer Results

by Shandra

$19.99

Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.

Turn complex system documentation into structured, agent-accessible knowledge bases optimized for MCP and AI tools.

Paste any AI output. Get the production-ready prompt that made it.

Turn erratic AI tool calls into a reliable, verified, and safe execution strategy.

Enforce senior-level coding standards (Surgical, Simple, Goal-Driven) on every AI-generated code change.

The intelligent installer for MARM, providing cross-agent persistent memory and shared context via MCP.

Eliminate hallucinations and errors using double-blind, multi-agent adversarial verification loops.

Transform Claude Code into a coordinated multi-agent system. Battle-tested tmux orchestration patterns, YAML task queues, event-driven communication, and parallel worker management for 8+ agents.