# Formula Derivation

> 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 theo…

- **Type:** Skill
- **Install:** `agentstack add skill-wanshuiyin-auto-claude-code-research-in-sleep-formula-derivation`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [wanshuiyin](https://agentstack.voostack.com/s/wanshuiyin)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [wanshuiyin](https://github.com/wanshuiyin)
- **Source:** https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/formula-derivation

## Install

```sh
agentstack add skill-wanshuiyin-auto-claude-code-research-in-sleep-formula-derivation
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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

## 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.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [wanshuiyin](https://github.com/wanshuiyin)
- **Source:** [wanshuiyin/Auto-claude-code-research-in-sleep](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-wanshuiyin-auto-claude-code-research-in-sleep-formula-derivation
- Seller: https://agentstack.voostack.com/s/wanshuiyin
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.