# Science Cover Letter

> Draft, audit, or revise Science/AAAS-family presubmission inquiries, cover letters, editor-facing significance statements, scope-fit paragraphs, and reviewer suggestion notes. Use when the user asks for a Science cover letter, presubmission inquiry, editor letter, broad-significance pitch, or Chinese-to-English submission letter for Science, Science Advances, Science Robotics, Science Translation…

- **Type:** Skill
- **Install:** `agentstack add skill-shikaijieskj-science-skills-science-cover-letter`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [shikaijieskj](https://agentstack.voostack.com/s/shikaijieskj)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [shikaijieskj](https://github.com/shikaijieskj)
- **Source:** https://github.com/shikaijieskj/science-skills/tree/main/skills/science-cover-letter

## Install

```sh
agentstack add skill-shikaijieskj-science-skills-science-cover-letter
```

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

## About

# Science Cover Letter

Use this skill to make the editor-facing pitch precise, broad, and evidence-grounded.

## Default stance

- Do not oversell beyond the manuscript evidence.
- Do not claim priority, novelty, or field transformation unless supplied and defensible.
- Keep the letter short and editor-readable.
- Emphasize why the work matters to a broad Science-family audience.
- Verify current journal requirements for cover letters, suggested reviewers, competing interests,
  related manuscripts, and presubmission inquiries.

## Open extra files

| File | Open when |
|---|---|
| [references/letter-structure.md](references/letter-structure.md) | Need cover-letter or presubmission structure |
| [references/scope-fit-check.md](references/scope-fit-check.md) | Need broad-interest, novelty, and journal-fit audit |

## Intake

Ask for:

- target journal
- title and article type
- one-sentence advance
- strongest evidence
- why the result matters beyond the subfield
- competing interest / related manuscript / prior submission facts if relevant
- suggested or opposed reviewers if required

## Workflow

1. Build a scope-fit statement before drafting.
2. Map the pitch:
   `problem -> gap -> advance -> evidence -> broad significance -> fit`.
3. Draft concise letter.
4. Audit for unsupported novelty and inflated language.
5. Add placeholders for required administrative declarations.

## Output format

```text
Scope-fit diagnosis
- [fit strengths]
- [risks]

Draft letter
[letter]

Required facts to verify
- [journal-specific declarations, reviewers, conflicts, related manuscripts]
```

For Chinese source notes, draft submission-facing English first, then Chinese notes on tone and
missing inputs.

## Source & license

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

- **Author:** [shikaijieskj](https://github.com/shikaijieskj)
- **Source:** [shikaijieskj/science-skills](https://github.com/shikaijieskj/science-skills)
- **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-shikaijieskj-science-skills-science-cover-letter
- Seller: https://agentstack.voostack.com/s/shikaijieskj
- Browse the marketplace: https://agentstack.voostack.com/browse

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