Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
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。
Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.
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。
Build an honest derivation package, not a fake polished theorem story.
DERIVATION_PACKAGE.md in project rootCOHERENT AS STATED | COHERENT AFTER REFRAMING / EXTRA ASSUMPTION | NOT YET COHERENTProduce exactly one of:
Extract and normalize:
If the target, object, notation, or assumptions are ambiguous, state the exact interpretation you are using before deriving anything.
Determine the target derivation file with this priority:
DERIVATION_PACKAGE.md in project root as the default targetRead the relevant local context:
Extract:
State explicitly:
Do not start symbolic manipulation before this is fixed.
Identify the single quantity or conceptual object that should organize the derivation.
Typical possibilities include:
If the current notes start from a narrower quantity, decide explicitly whether it is:
Do not let a convenient proxy silently replace the actual conceptual object.
Restate:
Identify:
Preserve the user's original notation unless a cleanup is necessary for coherence. If you adopt a cleaner internal formulation, keep that as a derivation device rather than silently replacing the user's target.
For every nontrivial step, determine whether it is:
Never merge these categories without signaling the transition. If one part is only interpretive, do not present it as if it were mathematically proved.
Choose a derivation strategy, for example:
Then write a derivation map:
If the derivation needs a decomposition, derive it from the chosen global quantity. Do not make a split appear magically from one local variable itself.
Write to the chosen target derivation file.
If the target derivation file already exists:
If the user does not specify a target, default to DERIVATION_PACKAGE.md in project root.
Do NOT write directly into paper sections or appendix .tex files unless the user explicitly asks for that target.
The derivation package must include:
Writing rules:
Before finishing the target derivation file, verify:
If the derivation still lacks a coherent object, stable assumptions, or an honest path from premises to result, downgrade the status and write a blocker report instead of forcing a clean story.
Write the target derivation file using this structure:
# Derivation Package
## Target
[what is being derived or explained]
## Status
COHERENT AS STATED / COHERENT AFTER REFRAMING / NOT YET COHERENT
## Invariant Object
[top-level quantity organizing the derivation]
## Assumptions
- ...
## Notation
- ...
## Derivation Strategy
[chosen route and why]
## Derivation Map
1. Target depends on ...
2. Intermediate step A uses ...
3. Approximation enters at ...
## Main Derivation
Step 1. ...
Step 2. ...
...
## Remarks and Interpretation
- ...
## Boundaries and Non-Claims
- ...
## Open Risks
- ...
Write the full structure above with a clean derivation package.
Write:
Write:
Status: NOT YET COHERENTproof-writerUse formula-derivation when the user says things like:
Use proof-writer only after:
Once a precise claim and its hypotheses are available, use
/lean-formalize when the user requests Lean or a
specific proof obligation benefits from formal implementation and checking;
routine algebraic derivations do not require it.
After writing the target derivation file, respond briefly with:
Open Risks; do not hide it in polished prose.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
Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
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 main results pass result-to-claim (`claim_supported = yes` or `partial`) and ablation studies are needed for paper submission. A secondary Codex agent designs ablations from a reviewer's perspective; the local executor reviews feasibility and implements.
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。
Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.
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。
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
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。
Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.
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。
Autonomously improve a generated paper via GPT-6-Astra xhigh review → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.
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。