994 件 ・ 関連度順
概要と使いどころ
Guide for checkpointing — saving, loading, and resuming training with CheckpointRecord. Use when the user asks about saving weights, resuming training, checkpoint management, or the checkpoint lifecycle.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for using completers — TokenCompleter and MessageCompleter for text generation during RL rollouts and evaluation. Use when the user asks about generating text, completing messages, or using completers in RL environments.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for contributing to the tinker-cookbook repo — development setup, code style, type checking, PR process, and design conventions. Use when the user asks about how to contribute, set up the dev environment, code style, or project conventions.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for training outputs, metrics logging, logtree reports, tracing/profiling, and debugging training runs. Use when the user asks about training logs, metrics, debugging, tracing, profiling, timing, Gantt charts, or understanding training output files.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for defining RL environments — the Env protocol, EnvGroupBuilder, RLDataset, and custom environment creation. Use when the user asks about RL environments, reward functions, or how to define custom tasks for RL training.
日本語の概要は準備中です。原文の説明を表示しています。
Set up and run Direct Preference Optimization (DPO) training on preference datasets using the Tinker API. Use when the user wants to train with preference data, chosen/rejected pairs, or DPO.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for using renderers — the bridge between chat-style messages and token sequences. Covers renderer setup, TrainOnWhat, vision inputs, model family matching, and custom renderers. Use when the user asks about renderers, tokenization, message formatting, or vision inputs.
日本語の概要は準備中です。原文の説明を表示しています。
Set up and run knowledge distillation (on-policy, off-policy, or multi-teacher) from a teacher model to a student model using the Tinker API. Use when the user wants to distill knowledge, compress models, or train a student from a teacher.
日本語の概要は準備中です。原文の説明を表示しています。
Set up and run the full RLHF pipeline (SFT, reward model training, RL from reward model) using the Tinker API. Use when the user wants to do RLHF, train a reward model, or run the full preference-based RL pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for installing Tinker, setting up the environment, getting an API key, and verifying everything works. Use when the user is getting started, setting up their environment, or troubleshooting installation issues.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for dataset construction — SupervisedDatasetBuilder, RLDatasetBuilder, ChatDatasetBuilder, and custom dataset creation from JSONL, HuggingFace, or conversation data. Use when the user asks about datasets, data loading, data preparation, or custom data formats.
日本語の概要は準備中です。原文の説明を表示しています。
Set up and run supervised fine-tuning (SFT) on instruction or chat datasets using the Tinker API. Use when the user wants to do instruction tuning, chat fine-tuning, or supervised learning.
日本語の概要は準備中です。原文の説明を表示しています。
Reference for Tinker SDK types — Datum, ModelInput, TensorData, SamplingParams, response types, error types, and helper functions. Use when the user needs to build training data, construct model inputs, understand response objects, or handle errors.
日本語の概要は準備中です。原文の説明を表示しています。
Set up and run reinforcement learning with verifiable rewards (RLVR/GRPO) for math, code, or custom environments using the Tinker API. Use when the user wants to do RL training, GRPO, reward-based optimization, or train with verifiable rewards.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for choosing models in Tinker — available model families, model types (base, instruction, reasoning, hybrid, vision), architecture (dense vs MoE), and how to match renderers to models. Use when the user asks which model to use, what models are available, or how to pick a model for their task.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for testing conventions and CI pipelines — unit tests, integration smoke tests, pytest markers, and GitHub Actions workflows. Use when the user asks about testing, CI, running tests, or adding tests for a recipe.
日本語の概要は準備中です。原文の説明を表示しています。
Use when: a general codebase assessment, pre-migration/pre-rewrite review, or explicit security-focused request needs a structured, repeatable security audit pass covering hardcoded secrets, injection-prone constructs, auth/debug backdoors, and insecure config defaults. Complements (does not replace) the built-in /security-review command. Not a mandatory gate on every ticket.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to create or optimize popups, modals, overlays, slide-ins, or banners for conversion purposes. Also use when the user mentions "exit intent," "popup conversions," "modal optimization," "lead capture popup," "email popup," "announcement banner," or "overlay." For forms outside of popups, see form-cro. For general page conversion optimization, see page-cro.
日本語の概要は準備中です。原文の説明を表示しています。
The General Data Protection Regulation (EU) 2016/679 (GDPR) is the EU's comprehensive data protection law governing the collection, processing, storage, and transfer of personal data. This skill cover
日本語の概要は準備中です。原文の説明を表示しています。
Meta-skill that generates compliant PLAYBOOK.md files following the BRAINIAC template. Use when creating or editing modules in the command center. For general readme creation, see create-readme.
日本語の概要は準備中です。原文の説明を表示しています。
Structured competitor teardown skill. Use when scraping competitor sites, extracting pricing/features/positioning, or analyzing strategic gaps. For general research, see market-research.
日本語の概要は準備中です。原文の説明を表示しています。
Design, refine, implement, or review application UI and user journeys with minimal controls, clear actions, shared components, realistic prototypes, and polished behavior. Use for product screens, forms, onboarding, navigation, settings, and chat/task interfaces; not backend-only work or general graphic design.
日本語の概要は準備中です。原文の説明を表示しています。
Interactive guide for creating and improving portable Agent Skills (SKILL.md files) shared by Claude Code, Codex, and Cursor. Use when the user asks to create, update, validate, or fix a skill definition or says a skill does not trigger. Do NOT use for general coding tasks or requests that merely contain the word "create".
日本語の概要は準備中です。原文の説明を表示しています。
General mathematical methods skill for symbolic and numerical work; use when solving equations or deriving relationships.
日本語の概要は準備中です。原文の説明を表示しています。