Skill UI

This harness transforms standard code environments into fully persistent, autonomous agent systems. It leverages native features like scheduled tasks (Crons), remote dispatching, and structured memory storage (MCP) to enable continuous, self-directing automation. Ideal for building AI assistants that require long-term context, recurring workflows, and complex, multi-step operations, eliminating the need for external agent frameworks like AutoGPT.

Automates the complex pre-development workflow for large-scale system transformations, such as major rewrites, migrations, or overhauls. This skill performs comprehensive project analysis, task decomposition, planning document generation, and sets up detailed progress tracking across multiple phases, ensuring a structured approach before any coding begins. It supports adaptive control and integrates robust task tracking via GitHub or local files.

AgentFlow transforms your existing Kanban board (Asana, GitHub, Linear) into a self-managing, autonomous AI development pipeline. It orchestrates multiple AI agents through defined stages (Backlog to Done), enforcing deterministic quality gates, performing adversarial reviews, and tracking costs—all visible within your existing project management UI. It provides crash-proof execution and full observability for complex software development lifecycles.

This tool guides the creation of actionable monitoring dashboards for observability platforms like Grafana and SigNoz. Instead of merely displaying raw metrics, it focuses on structuring data to answer critical operational questions: Is the system healthy? Where are the bottlenecks? What changes occurred? And what action should be taken? It transforms raw metrics into decision-making tools.

Generates complete, runnable Python scripts utilizing the python-pptx library to automatically build polished PowerPoint presentations. This skill transforms a topic brief into a structured slide deck script, ensuring real content, logical flow, and a working save function, perfect for demos, reports, or educational materials.

This skill provides a comprehensive workflow to transform raw data into professional visual charts. It intelligently analyzes data features (e.g., trends, comparisons, flows) to select the optimal chart type (line, bar, pie, etc.). Users provide data and specifications, and the skill generates a high-quality, detailed chart image using a structured JavaScript process.

This expert guide provides comprehensive strategies for community-led growth. It helps users design, launch, and scale online communities on platforms like Discord, Slack, or forums. Use this resource when aiming to build deep brand loyalty, transform customers into brand advocates, structure a cohesive community strategy, or significantly boost user engagement and retention post-signup. It covers everything from defining community identity to implementing ambassador programs.

A Lodash-inspired, generics-first utility library providing 500+ type-safe functions for common data transformations in Go. It eliminates boilerplate code associated with manual loops, offering declarative methods like Map, Filter, Reduce, and GroupBy. The library supports core immutable operations (lo), concurrent variants (lop), mutable mutations (lom), and lazy iterators (loi), allowing developers to choose the optimal approach based on performance profiling and memory constraints. Ideal for implementing robust, type-safe data pipelines.

This skill guides users through a structured, three-phase process to transform vague, raw ideas into sharp, actionable concepts. It utilizes structured thinking (divergent brainstorming, convergent evaluation, and assumption stress-testing) to define the core problem, validate assumptions, scope the Minimum Viable Product (MVP), and articulate clear trade-offs (Not Doing list). Ideal for product managers, entrepreneurs, and strategists needing concrete direction.

A comprehensive tool for managing Lark/Feishu approval workflows. It allows users to query pending or completed tasks, view detailed instance progress, and perform essential actions such as approving, rejecting, transferring, adding signers, or following up on requests. Ideal for automating manual approval steps in a business process.

Transforms specs or vague assignments into ordered work units with dependency-aware sequencing, vertical slicing, checkpoints, and verification criteria so agents or teams can implement reliably without sprawling scope.

This skill transforms written content, such as articles and reports, into engaging, two-host conversational podcast audio. It first structures the content into a detailed JSON script (dialogue format) and then uses advanced Text-to-Speech synthesis to generate the final MP3 file. Supports both English and Chinese languages, making content accessible for audio-only listening.