メニュー
DEPRECATED — merged into agentdb-advanced. Use agentdb-advanced skill (RL Plugins section) for all reinforcement learning algorithms including Decision Transformer, Q-Learning, SARSA, Actor-Critic, and Federated RL.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/DreamLab-AI/agentbox --skill agentdb-learningコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Implement features with tests and quality gates, debug hard bugs, and stress-test designs. Use when building a feature with TDD/EDD, chasing a stubborn multi-function bug (feedback-loop-first), interrogating a design before coding, or running a coverage/security/accessibility quality-gate pass. Supersedes agentic-qe, reasoningbank-*, and pair-programming.
Plan-execute-reflect loop over a persistent Python kernel (the `code-interpreter` MCP): write Python, execute, observe the returned trace (stdout / exception / last value), then revise. Variables, imports, and dataframes survive across every tool call in the session. Use for multi-step numerical reasoning, data wrangling, scientific Q&A, hypothesis-test loops, or any task where intermediate state must persist between turns and a runtime result should drive the next step.
Fires as a post-task hook after a non-trivial completed task (3+ tool calls, observable terminal outcome) to distil 0-N generalisable IF/THEN lessons from the trajectory and store them in RuVector so they surface at the start of similar future tasks; also invocable manually to record a lesson after a complex or failed task. NOT for trivial (<3 tool calls) or interrupted tasks, and NOT a general memory-write tool — it writes only ex:DistilledLesson records to the code-harness-lessons namespace. Schema, gates, prompt, and contradiction/archive policy live in references/.
SOC 職業分類に基づく
SKILL.md を表示中
| name | agentdb-learning |
| description | DEPRECATED — merged into agentdb-advanced. Use agentdb-advanced skill (RL Plugins section) for all reinforcement learning algorithms including Decision Transformer, Q-Learning, SARSA, Actor-Critic, and Federated RL. |
| deprecated | true |
| replacement | agentdb-advanced |
This skill has been merged into agentdb-advanced.
All 9 RL algorithms previously documented here (Decision Transformer, Q-Learning, SARSA, Actor-Critic, PPO, Federated RL, etc.) are now in the RL Plugins section of agentdb-advanced.
Use /agentdb-advanced instead.
