hongmaple0820/agent-academy

hongmaple0820/agent-academy

Skill Claude CodeCodex

A general project workflow for individuals and small teams, combining organised planning with flexible development practices.

hongmaple0820/agent-academy

Skill Claude CodeCodex

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use…

hongmaple0820/agent-academy

Skill Claude CodeCodex

Claude-mem is a Claude Code plugin providing persistent memory across sessions. It captures tool usage, compresses observations using the Claude Agent SDK, and injects relevant context into future sessions.

hongmaple0820/agent-academy

Skill Claude CodeCodex

Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required - returns preview URL and claimable deployment link.

hongmaple0820/agent-academy

Skill Claude CodeCodex

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies.

hongmaple0820/agent-academy

Skill Claude CodeCodex

Gemini CLI for one-shot Q&A, summaries, and generation.

hongmaple0820/agent-academy

Skill Claude CodeCodex

Execute Hugging Face Hub operations using the hf CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.

hongmaple0820/agent-academy

Skill Claude CodeCodex

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

hongmaple0820/agent-academy

Skill Claude CodeCodex

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

hongmaple0820/agent-academy

Skill Claude CodeCodex

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV…

hongmaple0820/agent-academy

Skill Claude CodeCodex

Generate images using Google Gemini's image generation capabilities. Use this skill when the user needs to create, generate, or produce images for any purpose including UI mockups, icons, illustrations, diagrams, concept art, placeholder images, or visual representations.

hongmaple0820/agent-academy

Skill Claude CodeCodex

A skill about switching between AI models when one model fails, including descriptions, usage instructions, and manual execution.

hongmaple0820/agent-academy

Skill Claude CodeCodex

This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.

hongmaple0820/agent-academy

Skill Claude CodeCodex

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks…

hongmaple0820/agent-academy

Skill Claude CodeCodex

Batch-generate images via OpenAI Images API. Random prompt sampler + index.html gallery.

hongmaple0820/agent-academy

Skill Claude CodeCodex

Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

hongmaple0820/agent-academy

Skill Claude CodeCodex

Local speech-to-text with the Whisper CLI (no API key).

hongmaple0820/agent-academy

Skill Claude CodeCodex

Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

hongmaple0820/agent-academy

Skill Claude CodeCodex

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for…

hongmaple0820/agent-academy

Skill Claude CodeCodex

Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use…

hongmaple0820/agent-academy

Skill Claude CodeCodex

Use when executing implementation plans with independent tasks in the current session.

hongmaple0820/agent-academy

Skill Claude CodeCodex

A skill for working with Baidu Image Crawler, a project for collecting images from Baidu Images, a Chinese image-search service.

hongmaple0820/agent-academy

Skill Claude CodeCodex

A daily review skill for systematically looking back at the day’s work and recording the results.

hongmaple0820/agent-academy

Skill Claude CodeCodex

A tool for examining comma-separated values (CSV) files, which store table data as text. The description says it covers data overviews and analysis steps, but gives no further details.