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SkillsMP hat 122 Skills aus TheAdaply/re-forge gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
TheAdaply/re-forgeEs werden 40 von 122 gesammelten Skills angezeigt.
Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you want faster inference than vLLM on workloads with heavy prefix sharing. The…
Quellsprache: Englisch
Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training…
Quellsprache: Englisch
Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.
Quellsprache: Englisch
Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.
Quellsprache: Englisch
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
Quellsprache: Englisch
Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.
Quellsprache: Englisch
Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit
Quellsprache: Englisch
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4),…
Quellsprache: Englisch
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
Quellsprache: Englisch
Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing…
Quellsprache: Englisch
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works…
Quellsprache: Englisch
Pointers for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
Quellsprache: Englisch
Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.
Quellsprache: Englisch
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints,…
Quellsprache: Englisch
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
Quellsprache: Englisch
Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference than GPTQ with better accuracy preservation, or for…
Quellsprache: Englisch
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard…
Quellsprache: Englisch
Dispatch the Engineering Team to implement something. Takes a task description (or a research SYNTHESIS reference) and runs the full plan-then-build protocol with verifier + reviewer loop. Use this skill IMMEDIATELY when the user asks to implement, build,…
Quellsprache: Englisch
Dispatch the Research Team on any question. Amplifies a terse prompt into a full multi-specialist investigation with adversarial gates (skeptic + adversary + moderator + evaluator). Use this skill IMMEDIATELY when the user asks to research something,…
Quellsprache: Englisch
Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.
Quellsprache: Englisch
Use this skill to compare coding agents (re-forge agents, Claude Code, Aider, Codex, etc.) head-to-head on reproducible tasks, measuring pass rate, cost, time, and consistency instead of relying on vibes. Activate when choosing between agents/models,…
Quellsprache: Englisch
Use this skill when an agent run is failing repeatedly, burning tokens without progress, looping on the same tools, or drifting from the task. It is a structured self-debugging workflow — capture the failure, diagnose the root cause, apply contained recovery,…
Quellsprache: Englisch
Use this skill for regression testing in AI-assisted development, where the same model writes AND reviews code and so carries identical blind spots into both steps. It covers sandbox/mock-mode API testing without a database, an automated bug-check workflow,…
Quellsprache: Englisch
Use this skill when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests. It converts ambitious targets like "make it 20x faster"…
Quellsprache: Englisch
Use this skill to measure performance baselines and detect regressions in re-forge — before/after a PR, when users report "it feels slow", or before a launch when you must meet performance targets. It covers page (Core Web Vitals), API (latency percentiles),…
Quellsprache: Englisch
Use this skill when joining a new project or opening an unfamiliar repo in re-forge for the first time. Analyzes the codebase and produces a structured onboarding guide (architecture map, entry points, conventions) plus a starter project instructions file.…
Quellsprache: Englisch
Use this skill to produce thorough, cited research reports synthesized from multiple web sources. Activate when the user wants to research a topic in depth, do competitive analysis, evaluate a technology, size a market, or run due diligence — anytime an…
Quellsprache: Englisch
Use this skill in re-forge when designing error types, adding retries/circuit breakers for unreliable dependencies, reviewing API endpoints for missing error handling, building user-facing error messages, or debugging silent failures and cascading errors.…
Quellsprache: Englisch
Use this skill to set up eval-driven development (EDD) for re-forge — treating evals as the "unit tests of AI development." Activate when defining pass/fail criteria for an agent task, measuring reliability with pass@k metrics, building regression suites for…
Quellsprache: Englisch
Dispatch the Evolution Team — re-forge's self-evolving watch team whose sole job is to keep the workforce ahead of a fast-moving ecosystem. Use this skill when the user asks to "check what's new in Claude Code / Cursor / Codex", "scan for new agent features",…
Quellsprache: Englisch
Use this skill in re-forge when choosing a branching strategy, writing commit messages or PR descriptions, deciding merge vs rebase, resolving conflicts, or managing releases and tags. Covers conventional commits, code-review checklists, and collaborative…
Quellsprache: Englisch
Use this skill whenever you add authentication or authorization, handle user input or file uploads, work with secrets or credentials, create API endpoints, implement payment or blockchain features, or store/transmit sensitive data in re-forge. It provides a…
Quellsprache: Englisch
Use this skill to audit re-forge's agent configuration (the `.claude/` directory — CLAUDE.md, settings.json, MCP configs, hooks, and agent/skill definitions) for security vulnerabilities, misconfigurations, and prompt-injection risks. Activate when setting up…
Quellsprache: Englisch
Use this skill to decide WHEN to manually compact context during long re-forge sessions, instead of letting arbitrary auto-compaction interrupt work mid-task. Activate on long multi-phase sessions (research → plan → implement → test), when switching between…
Quellsprache: Englisch
Use this skill whenever you write a new feature, fix a bug, or refactor code in re-forge. It enforces strict test-driven development — tests BEFORE code, a verified RED→GREEN→REFACTOR cycle, and 80%+ coverage across unit, integration, and E2E tests. Activate…
Quellsprache: Englisch
Use this skill to run a comprehensive quality gate after completing a feature, before opening a PR, or after refactoring in re-forge. It walks build → types → lint → tests → security scan → diff review and emits a single READY / NOT READY verification report.…
Quellsprache: Englisch
Dispatch the Security & Review Team on any security task. Auto-detects language, dependency manager, and existing security tooling. Use this skill IMMEDIATELY when the user asks for a security audit, dependency CVE check, secrets scan, threat model, license…
Quellsprache: Englisch
Dispatch the Documentation & Knowledge Team on any documentation task. Auto-detects project language, framework, and existing docs. Use this skill IMMEDIATELY when the user asks to generate docs, update README, write API docs, create changelogs, document…
Quellsprache: Englisch
Dispatch the Testing & QA Team on any testing task. Auto-detects language, test framework, coverage tool, and existing test patterns. Use this skill IMMEDIATELY when the user asks to write tests, improve coverage, run mutation testing, detect regressions,…
Quellsprache: Englisch
Dispatch the Capability Forge to detect workforce gaps, scout for existing implementations, or author new skills/MCPs/plugins. Use this skill when the user asks "what capability are we missing", "build a skill for X", "check MCP Registry for Y", "what skills…
Quellsprache: Englisch