Personal-Model First Self Evolving AI Agent 🐘
This repository also configures its own agents. See what elephant-agent tells them →
Skill Claude CodeCodex
Set up a modded Minecraft server from a CurseForge/Modrinth server pack zip. Covers NeoForge/Forge install, Java version, JVM tuning, firewall, LAN config, backups, and launch scripts.
Skill Claude CodeCodex
Play Pokemon games autonomously via headless emulation. Starts a game server, reads structured game state from RAM, makes strategic decisions, and sends button inputs — all from the terminal.
Skill Claude CodeCodex
Inspect GitHub repositories, files, and diffs methodically before proposing changes, especially when the task starts from a GitHub URL or PR.
Skill Claude CodeCodex
Verify GitHub CLI or connector authentication, identify the active identity, and debug missing permissions before other GitHub operations.
Skill Claude CodeCodex
Review pull requests with a bug-first mindset, grounding findings in concrete diff context and repository behavior.
Skill Claude CodeCodex
Triage GitHub issues, extract the real ask, and connect each issue to the relevant files, tests, or release surface before acting.
Skill Claude CodeCodex
Move cleanly through branch, diff, review, validation, and PR update steps without losing scope or repository-native workflow.
Skill Claude CodeCodex
Inspect repository metadata, branches, permissions, and operational state before changing settings or branch structure.
Skill Claude CodeCodex
Find nearby places or services with location-aware search while keeping assumptions about distance, hours, and category explicit.
Skill Claude CodeCodex
Discover, inspect, authenticate, and call MCP servers directly from the terminal through mcporter when a generic connector is not enough.
Skill Claude CodeCodex
Work through MCP-native resources and tools first when a connector already exposes the needed context or action surface.
Skill Claude CodeCodex
Search and download reaction GIFs through the Tenor API using curl and jq when the user wants lightweight media retrieval.
Skill Claude CodeCodex
Set up and run HeartMuLa, the open-source music generation model family (Suno-like). Generates full songs from lyrics + tags with multilingual support.
Skill Claude CodeCodex
Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.
Skill Claude CodeCodex
Fetch YouTube transcripts, summarize videos, and transform the transcript into chapters, notes, threads, or article-ready structure.
Skill Claude CodeCodex
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
Skill Claude CodeCodex
Frames model, prompt, and system evaluation as a reproducible experiment with baselines, datasets, and explicit metrics.
Skill Claude CodeCodex
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
Skill Claude CodeCodex
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform.
Skill Claude CodeCodex
Guides model, dataset, and space workflows around Hugging Face Hub with explicit auth, artifact, and cache assumptions.
Skill Claude CodeCodex
Guides model-serving and runtime-inference decisions across local, remote, and packaged deployment paths.
Skill Claude CodeCodex
Run LLM inference with llama.cpp on CPU, Apple Silicon, AMD/Intel GPUs, or NVIDIA — plus GGUF model conversion and quantization (2–8 bit with K-quants and imatrix). Covers CLI, Python bindings, OpenAI-compatible server, and Ollama/LM Studio integration. Use for edge deployment, M1/M2/M3/M4 Macs, CUDA-less…
Skill Claude CodeCodex
Remove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, LEACE, SAE decomposition, etc.) to excise guardrails while preserving reasoning. 9 CLI methods, 28 analysis modules, 116 model presets across 5 compute tiers, tournament…
Skill Claude CodeCodex
Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: