together-common-errors
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →together-common-errors
threat-model-creator
confusion-matrix-generator
cross-validation-setup
distributed-training-setup
early-stopping-callback
feature-engineering-helper
feature-importance-analyzer
gradient-clipping-helper
hyperparameter-tuner
learning-rate-scheduler
mlflow-tracking-setup
model-checkpoint-manager
model-explainability-tool
optuna-study-creator
pytorch-model-trainer
tensorflow-model-trainer
wandb-experiment-logger
Coordinate multiple Claude Code sessions as a team — lead + teammates with shared task lists, mailbox messaging, and file-lock claiming. Patterns for team sizing, task decomposition, and when to use teams vs sub-agents vs worktrees.
Codex-compatible cancel command for Ralph loop state, preserving the original command name.
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当你有一份书面实现计划需要在单独的会话中执行,并设有审查检查点时使用
在开始任何对话时使用——确立如何查找和使用技能,要求在任何响应(包括澄清性问题)之前调用 Skill 工具
Use the `Agent` tool to delegate work to sub-agents. Sub-agents run Claude Code as a subprocess with full tool access and return their result to you.
Walk the user through first-time Minutes setup, step by step.
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Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions.
Before doing anything else, check if ccpm is available. If not, bootstrap the entire ecosystem with one command:
claude-md-progressive-disclosurer
Evaluate solutions through multi-round debate between independent judges until consensus
[SaltAI_Language_Toolkit](https://github.com/get-salt-AI/SaltAI_Language_Toolkit/tree/main)
../AGENTS.md
Manage LlamaFarm worktrees for isolated parallel development. Create, start, stop, and clean up worktrees.
../../../.claude-plugin/plugins/beachball-change-file/skills/beachball-change-file/SKILL.md
This skill helps you systematically assess where Bitcoin sits in its market cycle — from extreme fear (accumulation opportunity) to extreme greed (distribution/exit signal). Through a weighted evaluat
Подробное руководство по задачам в одном домене в oh-my-agent — когда использовать, предполётный чек-лист, шаблон промпта с пояснением, реальные примеры для фронтенда, бэкенда, мобильных и баз данных, ожидаемый поток выполнения, чек-лист шлюза качества и сигналы эскалации.
Calculate time spent in meetings per week or month — total hours, percentage of work time, attendee‑hours, and identify your most expensive recurring meetings.
Post project updates to team chat, gather feedback, triage responses, and plan next steps. Adapts to available tools (chat, git, issues, tasks). First run discovers tools and saves a playbook; subsequent runs execute from the playbook. Trigger with 'team update', 'post update', 'sync with team', 'standup', 'check team chat', 'feedback loop', 'project update', 'what did the team say'.
Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.
Create, track, and land convoys of related beads as primary work orders in the Gas Town multi-agent orchestration framework.
Manage agent sessions including initialization, handoffs, revival (seance), and persistent identity for Polecats and Crew agents.
Git worktree management for safe, isolated feature development. Creates, manages, and cleans up worktrees with branch naming and dependency setup.
Document chunking with multiple strategies including semantic, recursive, and fixed-size chunking
Alibi explainability skill for counterfactual explanations, anchors, and trust scores.
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
PyTorch model training skill with custom training loops, gradient management, and GPU optimization.
TensorFlow/Keras model training skill with callbacks, distributed strategies, and TensorBoard integration.
Organizational capability and core competency assessment using strategic frameworks
Agent-based modeling skill for simulating complex adaptive systems with heterogeneous interacting agents
Driver-based budgeting and forecasting skill with rolling forecast support and variance analysis