Records hypotheses, evidence and decisions when proposing, running or evaluating forecast experiments, including backtests and feature or model comparisons. Excludes routine tests and unchanged forecast operation.
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。
Interrogate the user before implementing a non-trivial or ambiguous ask, converging on shared intent. Use when the user says "grill me", when an ask admits multiple interpretations, or before any sizable piece of work whose intent isn't fully clear.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Intent: an agent that implements a half-understood ask wastes the user's time twice. The deliverable of this skill is shared understanding, not code.
Question zero — is this the right question? Verdicts:
An honest "this smells wrong because X, though I don't have a better formulation" is a legitimate report.
Guardrails:
Exit: a compact "here's what I understood — confirm" summary. For most tasks that confirmed summary IS the spec — work from it directly. If the task looks large or multi-session, offer the spec skill; create the file without asking when obviously needed.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Records hypotheses, evidence and decisions when proposing, running or evaluating forecast experiments, including backtests and feature or model comparisons. Excludes routine tests and unchanged forecast operation.
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。
Diagnose GitHub CLI hiccups caused by Codex sandbox constraints; not a general GitHub workflow.
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。
Review a design artifact (spec, plan, PR packet) with fresh, memoryless subagents. Invoke when the user asks — "goldfish this", "fresh eyes", "tear this apart" — or after suggesting it for a spec that has grown load-bearing and the user agrees.
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。
Launches and supervises long-running commands — solves, workflows, downloads, builds — detached with a log, PID and exit sentinel, then tells stuck from slow and kills verifiably. Use before running anything that may exceed a minute, for nohup or background launches, and when a run hangs, shows no output, or timed out.
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。
Build and maintain a persistent, LLM-maintained markdown wiki following Andrej Karpathy's LLM Wiki pattern — the agent incrementally compiles raw sources into an interlinked knowledge base instead of re-deriving answers from scratch. Use this whenever the user wants to ingest a source (an article, paper, transcript, chapter, meeting notes), file knowledge or conversation findings into the wiki, query the accumulated knowledge base, lint or health-check the wiki, or mentions "the wiki", "knowledge base", "ingest this", "file this", "what do we know about X", or accumulating notes on a topic over time — even if they don't say "LLM Wiki" explicitly.
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。
Guides writing and editing Mermaid diagrams in GitHub-rendered Markdown so they remain readable across themes and preserve placeholder labels.
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。