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Interactive Design and Content Studio

sickn33/agentic-awesome-skills

A human-in-the-loop studio for iteratively tuning AI outputs or reviewing complex media/prose. It allows users to directly manipulate visual parameters (color, typography, layout) or annotate documents in real-time, moving beyond static comparison grids or vague prompts. Perfect for designers and content creators who need hands-on, visual feedback.

n8n AI Agent Design

sickn33/agentic-awesome-skills

Design n8n AI agents, chains, classifiers, extractors, tool calling, memory, RAG, structured output, and human-review flows. Covers sub-node patterns, connection types, and best practices for production workflows.

AI Agent Tool and Endpoint Discovery

not-human-search-mcp

sickn33/agentic-awesome-skills

A remote MCP server designed for AI agents to dynamically discover, inspect, and verify external tools, APIs, and services. It allows agents to search a curated index of AI-ready websites, check for machine-readable endpoints (like OpenAPI or MCP), and confirm if an endpoint responds correctly to JSON-RPC, enabling robust, dynamic agent workflow building.

Picking a Format for Extraction

picking-a-format

Guides choosing the right output format (plain, markdown, djot, HTML, JSON, DocTags) and token-reduction level for Xberg document extraction, based on downstream consumers like LLMs, RAG systems, parsers, or human review.

Progressive Estimation for AI-Assisted Projects

progressive-estimation

sickn33/agentic-awesome-skills

This skill provides sophisticated project estimation by adapting to human-only, hybrid, or agent-first development modes. It uses research-backed PERT statistics and confidence bands (P50, P75, P90) to forecast development timelines for tasks, backlogs, and capacity planning. It continuously calibrates estimates based on actual completion data, ensuring accuracy in AI-assisted and hybrid development environments.

Multi-Agent Orchestration Review

review-multi-agent-orchestration

sickn33/agentic-awesome-skills

Review supervisor, swarm, planner-worker and parallel agent workflows as distributed state machines: task ownership, shared state, branch joins, retries, cancellation, context handoffs, budgets, deadlocks and human escalation before rollout.

SEO AEO Landing Page Writer

seo-aeo-landing-page-writer

sickn33/agentic-awesome-skills

This skill generates or optimizes high-converting landing pages for products and services. It structures content for both human readers and search engines, incorporating SEO and AEO best practices. The output includes metadata, hero sections, problem-solution narratives, features, social proof, FAQs, and CTAs. It ensures factual accuracy and avoids fabrication while following specific conversion goals.

Three.js Procedural Geometry

threejs-procedural-geometry

scottstts/Threejs-Awesome-Graphics-Agent-Skills

Build production-grade procedural meshes in Three.js: profile extrusion, lofts, revolve, sweep, solidify, bevels and apertures, plus topology, coplanar, clash and semantic quality gates for hard-surface assemblies and humanoid robots.

Triage Issues and Pull Requests Workflow

sickn33/agentic-awesome-skills

This skill guides the systematic triage of project issues and external pull requests (PRs). It moves development items through a defined state machine using roles (e.g., bug, enhancement) and states (e.g., ready-for-agent, wontfix). The process involves context gathering, cross-codebase verification, deep questioning (grilling), and generating comprehensive, agent-ready briefs or marking them for human implementation.

Stripping AI Writing Patterns From Text

sickn33/agentic-awesome-skills

unslop is a powerful command-line interface (CLI) tool designed for post-processing text. It programmatically strips out common and identifiable patterns associated with AI-generated writing. Use it as a final, deterministic pass before publishing documentation, blog posts, or any content derived from large language models (LLMs), ensuring a more natural and human-like tone.

Unslop Commit

sickn33/agentic-awesome-skills

Rewrites commit messages to sound like a careful human engineer wrote them. Strips AI/marketing slop (e.g., 'comprehensive solution', 'robust implementation', 'leverage') while keeping Conventional Commits format. Ensures direct, specific, and imperative subject lines with optional context-rich body. Ideal for developers who want clean, professional git history without AI-generated jargon.

Humanize Memory Files

sickn33/agentic-awesome-skills

This skill humanizes natural-language memory files like CLAUDE.md, AGENTS.md, and docs by removing AI-isms and adding burstiness. It offers deterministic and LLM modes, preserves code blocks, URLs, paths, and headings, and creates backups. Ideal for cleaning up AI-generated content in configuration files and documentation.

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