formula-derivation — скилл для Claude Code: что делает и установка
Превращает разрозненные уравнения и черновики в связный вывод формул. Помогает упорядочить допущения и зафиксировать шаги в файле DERIVATION_PACKAGE.md.
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill formula-derivation -a claude-codeЧто делает formula-derivation
Скилл преобразует черновые математические заметки, цели исследования и уравнения в выверенный документ с выводом формул. Сначала он фиксирует целевой объект и его роль: точное алгебраическое тождество, приближение, локальное утверждение или содержательную интерпретацию. Если цель или обозначения неоднозначны, агент формулирует рабочую трактовку до начала символьных выкладок.
Процесс разбит на шаги: сбор контекста, выбор неизменного объекта (например целевой функции или сохраняющейся величины), нормализация допущений и разметка переходов. Каждый нетривиальный шаг помечается строго как тождество, утверждение, приближение или смысловая интерпретация. Результат по умолчанию записывается в DERIVATION_PACKAGE.md в корне проекта, не затрагивая .tex-файлы напрямую.
Если честно свести формулу не выходит, скилл не маскирует пробелы словами «очевидно» или «легко видеть». В такой ситуации статус вывода меняется на NOT YET COHERENT, а вместо готовой цепочки формируется отчёт о блокерах. Требование зафиксировать единый базовый объект заранее отсекает незаметную подмену математической сути удобным суррогатом.
Какие задачи решает
- собрать разрозненные формулы и черновые заметки в структурированный вывод
- разделить строгие тождества, приближения и эвристические интерпретации
- зафиксировать допущения и базовые переменные до начала преобразований
- составить отчёт о блокерах, если исходные предпосылки не сходятся
Примеры запросов агенту
- Используй formula-derivation, чтобы собрать вывод формулы функции потерь из notes.md в DERIVATION_PACKAGE.md
- Сформулируй цепочку допущений и выведи итоговое приближение для эффективной стоимости
- Проверь связность черновика выкладок и выдели скрытые допущения
Как установить formula-derivation
1Через Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill formula-derivation -a claude-code2Вручную: положить файлы
~/.claude/skills/formula-derivation/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/formula-derivation/
1Через Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill formula-derivation -a codex2Вручную: положить файлы
.agents/skills/formula-derivation/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill formula-derivation -a cursor2Вручную: положить файлы
.cursor/skills/formula-derivation/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install wanshuiyin/Auto-claude-code-research-in-sleep formula-derivation2Вручную: положить файлы
.github/skills/formula-derivation/SKILL.md1Через Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill formula-derivation -a gemini-cli2Командой платформы
gemini skills install https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --path skills/formula-derivationВручную: положить файлы
.devin/skills/formula-derivation/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill formula-derivation -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Вопросы о formula-derivation
Как установить formula-derivation в Claude Code?
Выполните команду npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill formula-derivation -a claude-code.
Что делает formula-derivation?
Скилл упорядочивает математические выкладки, проверяет допущения и создаёт документированный вывод формул либо отчёт о нестыковках.
Куда сохраняется результат вывода?
По умолчанию файл сохраняется как DERIVATION_PACKAGE.md в корне проекта. Скилл не правит файлы статей .tex, если об этом не попросили прямо.
Исходный текст
SKILL.md · MIT
--- name: formula-derivation description: 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. argument-hint: "[problem-goal-current-formulas-or-notes]" allowed-tools: Read, Write, Edit, Grep, Glob, Skill(lean-formalize) --- # Formula Derivation: Research Theory Line Construction Build an honest derivation package, not a fake polished theorem story. ## Constants - DEFAULT_DERIVATION_DOC = `DERIVATION_PACKAGE.md` in project root - STATUS = `COHERENT AS STATED | COHERENT AFTER REFRAMING / EXTRA ASSUMPTION | NOT YET COHERENT` ## Context: $ARGUMENTS ## Goal Produce exactly one of: 1. a coherent derivation package for the original target 2. a reframed derivation package with corrected object / assumptions / scope 3. a blocker report explaining why the current notes cannot yet support a coherent derivation ## Inputs Extract and normalize: - the target phenomenon, formula, relation, or theory line - the intended role of the derivation: - exact identity / algebra - proposition / local theorem - approximation - mechanism interpretation - explicit assumptions - notation and definitions - any user-provided formula chain, sketch, messy notes, or current draft - nearby local theory files if the request points to them - desired output style if specified: - internal alignment note - paper-style theory draft - blocker report If the target, object, notation, or assumptions are ambiguous, state the exact interpretation you are using before deriving anything. ## Workflow ### Step 1: Gather Derivation Context Determine the target derivation file with this priority: 1. a file path explicitly specified by the user 2. a derivation draft already referenced in local notes 3. `DERIVATION_PACKAGE.md` in project root as the default target Read the relevant local context: - the chosen target derivation file, if it already exists - any local theory notes, formula drafts, appendix notes, or files explicitly mentioned by the user Extract: - target formula / theory goal - current formula chain - assumptions - notation - known blockers - desired output mode ### Step 2: Freeze the Target State explicitly: - what is being explained, derived, or supported - whether the immediate goal is: - identity / algebra - proposition - approximation - interpretation - what the derivation is expected to output in the end Do not start symbolic manipulation before this is fixed. ### Step 3: Choose the Invariant Object Identify the single quantity or conceptual object that should organize the derivation. Typical possibilities include: - objective / utility / loss - total cost / energy / welfare - conserved quantity / state variable - expected metric / effective rate / effective cost If the current notes start from a narrower quantity, decide explicitly whether it is: - the true top-level object - a proxy - a local slice - an approximation Do not let a convenient proxy silently replace the actual conceptual object. ### Step 4: Normalize Assumptions and Notation Restate: - all assumptions - all symbols - regime boundaries or special cases - which quantities are fixed, adaptive, or state dependent Identify: - hidden assumptions - undefined notation - scope ambiguities - whether the current formula chain already mixes exact steps with approximations 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. ### Step 5: Classify the Derivation Steps For every nontrivial step, determine whether it is: - **identity**: exact algebraic reformulation - **proposition**: a claim requiring conditions - **approximation**: model simplification or surrogate - **interpretation**: prose-level meaning of a formula Never merge these categories without signaling the transition. If one part is only interpretive, do not present it as if it were mathematically proved. ### Step 6: Build a Derivation Map Choose a derivation strategy, for example: - definition -> substitution -> simplification - primitive law -> intermediate variable -> target expression - global quantity -> perturbation -> decomposition - exact model -> approximation -> interpretable closed form - general dynamic object -> simplified slice -> local theorem -> return to general case Then write a derivation map: - target formula or theory line - required intermediate identities or lemmas - which assumptions each nontrivial step uses - where approximations enter - where special-case and general-case regimes diverge or collapse 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. ### Step 7: Write the Derivation Document Write to the chosen target derivation file. If the target derivation file already exists: - read it first - update the relevant section - do not blindly duplicate prior content 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: - target - status - invariant object - assumptions - notation - derivation strategy - derivation map - main derivation steps - remarks / interpretations - boundaries and non-claims Writing rules: - do not hide gaps with words like "clearly", "obviously", or "similarly" - define every symbol before use - mark approximations explicitly - separate derivation body from remarks - if the true object is dynamic or state dependent but a simpler slice is analyzed, say so explicitly - if a formula line is only heuristic, label it honestly ### Step 8: Final Verification Before finishing the target derivation file, verify: - the target is explicit - the invariant object is stable across the derivation - every assumption used is stated - each formula step is correctly labeled as identity / proposition / approximation / interpretation - the derivation does not silently switch objects - special cases and general cases still belong to one theory line - boundaries and non-claims are stated 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. ## Required File Structure Write the target derivation file using this structure: ```md # 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 - ... ``` ## Output Modes ### If the derivation is coherent as stated Write the full structure above with a clean derivation package. ### If the notes are close but not coherent yet Write: - the exact mismatch - the corrected invariant object, assumption, or scope - the reframed derivation package ### If the derivation cannot be made coherent honestly Write: - `Status: NOT YET COHERENT` - the exact blocker: - missing object - unstable assumptions - notation conflict - unsupported approximation - theorem-level claim without enough conditions - what extra assumption, reframe, or intermediate derivation would be needed ## Relationship to `proof-writer` Use `formula-derivation` when the user says things like: - “我不知道怎么起这条推导主线” - “这个公式到底该从哪个量出发” - “帮我把理论搭顺” - “把说明文档变成可写进论文的公式文档” - “这几段公式之间逻辑不通” Use `proof-writer` only after: - the exact claim is fixed - the assumptions are stable - the notation is settled - and the task is now to prove or refute that claim rigorously Once a precise claim and its hypotheses are available, use [`/lean-formalize`](../lean-formalize/SKILL.md) when the user requests Lean or a specific proof obligation benefits from formal implementation and checking; routine algebraic derivations do not require it. ## Chat Response After writing the target derivation file, respond briefly with: - status - whether the target survived unchanged or had to be reframed - what file was updated ## Key Rules - Never fabricate a coherent derivation if the object, assumptions, or scope do not support one. - Prefer reframing the derivation over overclaiming. - Separate assumptions, identities, propositions, approximations, and interpretations. - Keep one invariant object across special and general cases whenever possible. - Treat simplified constant-parameter cases as analysis slices, not as the conceptual main object. - If uncertainty remains, mark it explicitly in `Open Risks`; do not hide it in polished prose. - Coherence matters more than elegance.
© wanshuiyin · MIT · wanshuiyin/Auto-claude-code-research-in-sleep