latex-to-word

REVIEW · 60
Registry indexed

>-

Verified installs0
Stars47
Version1.0.0
Quality63/100 · Promising
Trust60/100 · Sandbox only
Audit75/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Document processing

I need my agent to read PDFs, extract tables, and turn documents into structured data.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add kennethkhoocy/applied-micro-skills --skill latex-to-word

Maintenance

fresh

Pushed today

Risk

Needs review

Financial research output is not financial advice; require human review before any live investment decision

GitHub quality

47

63/100 Quality · 68/100 Trust

Coverage tags

ResearchDocument processingautomationagent-skill

Review notes

Financial research output is not financial advice; require human review before any live investment decision · No critical security concerns identified; scripts operate on local files only and do not appear to perform network access or destructive actions.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
63

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
60

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
75

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

47 GitHub stars

Repo activity

47 stars, 0 forks

Maintenance

Pushed today

License

MIT

Install

npx skills add kennethkhoocy/applied-micro-skills --skill latex-to-word

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Thin public metadata

Risk summary

Review before production

  • No critical security concerns identified; scripts operate on local files only and do not appear to perform network access or destructive actions.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • Quality score needs review

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Browser automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Navigate pages

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add kennethkhoocy/applied-micro-skills --skill latex-to-word
Policy
review
Human review
yes

Trust and risk

Trust
60/100
Audit
75/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add kennethkhoocy/applied-micro-skills --skill latex-to-word

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No critical security concerns identified; scripts operate on local files only and do not appear to perform network access or destructive actions.
  • No OpenAgentSkill engagement data yet

Agent safety v2

47/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • High-risk permission hints: Shell or command execution
  • Financial research output is not financial advice; require human review before any live investment decision

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install kennethkhoocy-latex-to-word

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use latex-to-word in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20latex-to-word%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kennethkhoocy-latex-to-word/install
Install command: npx skills add kennethkhoocy/applied-micro-skills --skill latex-to-word
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use latex-to-word for this task. Review https://www.openagentskill.com/api/skills/kennethkhoocy-latex-to-word/install, then install with: npx skills add kennethkhoocy/applied-micro-skills --skill latex-to-word

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

62/100

Browser automation

Platforms

Claude Code

Audit report

Needs review · 75/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Browser automation

Prototype with this skill first; keep a fallback candidate ready.

62
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Browser automation

Trust label

Prototype first

Install path

Command ready

Use when

  • Browser automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 63/100 quality profile

review first

  • Low GitHub adoption signal
  • No critical security concerns identified; scripts operate on local files only and do not appear to perform network access or destructive actions.
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Browser automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

60
OpenAgentSkill Trust Score

GitHub adoption

CHECK

47 GitHub stars

Stars/forks activity

CHECK

47 stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • No critical security concerns identified; scripts operate on local files only and do not appear to perform network access or destructive actions.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 47 GitHub stars
  • Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

63
GitHub stars
47
Freshness
Today
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal · No critical security concerns identified; scripts operate on local files only and do not appear to perform network access or destructive actions.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: latex-to-word description: >- Convert between LaTeX and Microsoft Word for academic manuscripts in either direction, and assemble .tex from mixed sources. Fires on: converting .tex/LaTeX to Word/.docx ("tex to docx", "latex to word", "tex2docx", "convert to word", "pandoc convert"); converting .docx manuscripts to LaTeX for editing and back ("convert to latex", "manuscript", "footnotes", "reference doc", the docx-to-tex-to-docx round-trip / academic paper editing pipeline); high-fidelity delivery where plain pandoc loses tables, mangles cross-references, or fails on custom macros — booktabs/regression tables, OMML equations, cleveref, \estauto, \@@input, \thanks, TikZ, native Word tables, longtable, siunitx; and building .tex from mixed PDF/docx/LLM-generated sources. Replaces and reroutes the retired skills manuscript-editing-template-latex, latex-to-docx-fidelity, tex2docx, and latex-from-mixed-sources. metadata: author: Claude Code date: 2026-07-03 version: 1.0.0 ---

# LaTeX ↔ Word

This skill moves academic manuscripts between LaTeX and Microsoft Word and assembles `.tex` from heterogeneous sources. It consolidates four former skills into three workflows: a footnote-preserving **round-trip** for co-author editing cycles, a high-fidelity **one-way** `.tex → .docx` engine for delivering finished papers to Word-only journals or coauthors, and a set of **knowledge patterns** for building a single `.tex` from PDF/docx/LLM-generated content. Read the deep doc for the workflow you need before running anything.

## Routing

| User intent | Workflow | Entry point | Deep doc | |---|---|---|---| | Deliver a finished LaTeX paper as high-fidelity Word (regression tables, math, cross-references must survive) | **B — one-way tex→docx** | `scripts/convert.py` | `references/tex-to-docx-engine.md` | | Iterate on a manuscript with Word-based co-authors while editing in LaTeX (docx→tex→docx, footnotes preserved) | **A — round-trip** | `gui.py`, or `scripts/docx_to_tex.py` + `scripts/tex_to_docx.py` | `references/roundtrip.md` | | Build a `.tex` from PDF / .docx / LLM-generated text | **C — assemble from mixed sources** | knowledge patterns (no scripts) | `references/mixed-sources.md` |

## Which workflow

- **B is the default for "deliver my LaTeX paper as Word."** The fidelity engine builds native Word tables, OMML equations, real footnotes, embedded figures, and resolves `\cref`/`\Cref`/`\eqref` from the `.aux`. Use B whenever the paper has regression/booktabs tables, math, or cross-references that must survive — plain pandoc drops or mangles all of these. - **A is for iterating with Word-based co-authors** while you edit in LaTeX. Its `tex → docx` step is plain pandoc plus a style-templated `scripts/reference.docx` (fast, formatting-only), so it does not build native tables or resolve crefs. Choose A when the exchange is prose and footnotes and speed matters; switch to B once the document depends on tables/math/cross-references. - **C is knowledge-only** — patterns for a pipeline that emits `.tex`, applied when you author the pipeline. No script to invoke.

## Quick start

Workflow B (one-way, high fidelity) — compile the source once so a current `.aux` exists, then:

```bash python scripts/convert.py path/to/main.tex --out main.docx # optional: --aux main.aux --tables-dir tables --figures-dir figures \ # --font "Linux Libertine G" --no-render ```

Workflow A (round-trip) — either launch the GUI:

```bash python gui.py ```

or drive the two version-aware helpers (they wrap pandoc + reference.docx and run the footnote-count sanity check), using the `input/ intermediate/ output/` layout:

```bash python scripts/docx_to_tex.py v1 # input/input_v1.docx -> intermediate/intermediate_v1.tex # edit intermediate/intermediate_v2.tex ... python scripts/tex_to_docx.py v2 # intermediate/intermediate_v2.tex -> output/output_v2.docx ```

Workflow C — no command; read `references/mixed-sources.md` and apply the two-track escaping / code-fence-stripping / `\DeclareUnicodeCharacter` patterns in your own generator.

## Tool requirements

- **pandoc** (3.x for the engine; ≥ 2.11 for the round-trip). - **xelatex / latexmk** (TeX Live or MiKTeX) — required to produce the `.aux` the engine reads, and for TikZ/PGFPlots/algorithm rendering. - **python-docx**, **lxml** — native table and OOXML construction. - Optional **PyMuPDF** (fitz) + **Pillow** — QA rasterization and image rendering. - Optional **Microsoft Word** (COM, via `win32com`) or **LibreOffice** (`soffice`) — final render-to-PDF check. - `scripts/toolcheck.py` resolves the pandoc / latexmk / xelatex executable locations for `scripts/convert.py`, `scripts/render_latex_env.py`, and `scripts/gen_reference.py`; `gui.py`, the round-trip helpers, and `tests/run_tests.py` still call bare `pandoc`/`xelatex`/`latexmk` from PATH.

## Consolidation notes

This skill merges four predecessors; their old names route here via the description above:

- **manuscript-editing-template-latex** → workflow A (`references/roundtrip.md`). - **latex-to-docx-fidelity** → workflow B (`references/tex-to-docx-engine.md`). - **latex-from-mixed-sources** → workflow C (`references/mixed-sources.md`). - **tex2docx** (retired). Its pandoc-postprocessing fix registry was diffed against the fidelity engine: six of seven fixes were already subsumed architecturally, because the engine prevents upstream what tex2docx patched after the fact — tables, figures, and captions never pass through pandoc, so the damage tex2docx repaired downstream never occurs. The two genuine gaps were ported INTO the engine: the **notes-punctuation normalizer** (`normalize_note_text`, applied to table-notes text in both table engines) and **`\include{}` expansion** (in `expand_latex_inputs`). See the "Ported from tex2docx" section of `references/tex-to-docx-engine.md`.

`tests/` holds the 46-fixture (`t01`–`t46`) regression harness driven by `tests/run_tests.py` and scored by `tests/qa_metrics.py`. It ships **source `.tex` fixtures only** — compiled PDFs, rendered PNGs, and `.docx` artifacts regenerate on each run. Fix the converter under `scripts/`, never the fixtures.

## Caution: gui.py bypasses permission prompts

`gui.py` invokes the Claude CLI with `--dangerously-skip-permissions` for its auto-edit and auto-fix loops (the "Edits" box and the automatic XeLaTeX-error repair). This bypasses the normal permission prompts, so any tool call Claude makes in those loops runs without confirmation. Review `gui.py` (see the two `--dangerously-skip-permissions` invocations) and understand what the auto loops can do before enabling that path.

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 24, 2026
Published
Aug 24, 2026

Decision snapshot

Fallback candidate

62
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

75
Needs review
Security
76/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for latex-to-word, ready for a manual X post.

Curator note
A practical pick for a repeatable workflow:

latex-to-word: >-

47 stars

https://www.openagentskill.com/skills/kennethkhoocy-latex-to-word?ref=x
Open X draft
Optional reply with install command
Listing + install path for latex-to-word:
https://www.openagentskill.com/skills/kennethkhoocy-latex-to-word?ref=x

Install: npx skills add kennethkhoocy/applied-micro-skills --skill latex-to-word

Listing source

Registry indexed

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Owner claim

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This Registry indexed listing is attributed to kennethkhoocy but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

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Author

K

kennethkhoocy

@kennethkhoocy

Platform fit

Health signals

GitHub stars
47
Quality score
35/100
Last GitHub push
Aug 24, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

60
  • GitHub adoption47 GitHub starsCHECK
  • Stars/forks activity47 stars, 0 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextCHECK
  • Dependency/runtime riskcommand execution surfaceINFO