Agent skill

Writing Shape

by InditexTech in InditexTech/weavejs

Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format…

Apache-2.0Auto-check passedDocuments & Office

Install Writing Shape

skills CLI
$ npx skills add InditexTech/weavejs --skill writing-shape -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install InditexTech/weavejs writing-shape --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/InditexTech/weavejs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/writing-shape .claude/skills/writing-shape && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
writing-shape
GitHub stars
208
Used in
3 other repos
Token cost
~1.1k tokens
SKILL.md length
705 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
Apache-2.0

At a glance

Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format…

  • Works in 5 steps: Read the pile. Read the input file in… → Draft 2–3 candidate openings. Each… → Grow paragraph by paragraph. After the… → …
  • The user has a pile of notes
  • SKILL.md covers The loop, Conversational feel, Pulling from the pile and Format arguments to actually…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Writing Shape is an agent skill from InditexTech/weavejs. Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format (lists, tables, callouts, quotes) at each step. Use when the user has a pile of notes, fragments, or a rough draft and wants help turning it into something publishable.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office. The repository describes itself as: Weave.js is an open source library to build real-time collaboration applications like whiteboards, diagram editors, etc. on HTML5 Canvas with your own UI. The licence is Apache-2.0.

When your agent uses it

  • The user has a pile of notes
  • A rough draft and wants help turning it into something publishable

Example prompts

  • “/writing-shape”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Read the pile. Read the input file in full. Form a sense of what's in it.
  2. Draft 2–3 candidate openings. Each opening should imply a different thesis or angle for the article. Show all of them. Force the user to…
  3. Grow paragraph by paragraph. After the opening lands, ask "given this opening, what does the reader need to hear next?" Pull material from…
  4. Append to the article file as you go. Don't batch. Write each agreed paragraph or block immediately so the user can see the article taking…
  5. Loop step 3 until the article is done. The user decides when it's done.

What it can do on your machine

Read from SKILL.md and the folder at commit 2bd3672. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Writing Shape loads about 1.1k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 705 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from InditexTech/weavejs at commit 2bd3672, republished under its Apache-2.0 licence (© InditexTech). 705 words, ~1,143 tokens.

Download SKILL.mdSave it as .claude/skills/writing-shape/SKILL.md (or your agent's skills folder).
name
writing-shape
description
Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format (lists, tables, callouts, quotes) at each step. Use when the user has a pile of notes, fragments, or a rough draft and wants help turning it into something publishable.
<what-to-do>

The user has passed (or will pass) a markdown file of raw material. Treat it as the input pile — anything from a tidy list of fragments to a wall of unstructured prose to a transcript. The format does not matter. Read it end-to-end before doing anything else.

Then run a shaping session that produces a separate article document. Do not edit the raw material file — it is read-only to this skill.

If the user did not say where to save the article, ask once and remember the path. The user will be editing the article file during the session; always re-read it before writing so their edits are preserved.

</what-to-do>
<supporting-info>

The loop

  1. Read the pile. Read the input file in full. Form a sense of what's in it.
  2. Draft 2–3 candidate openings. Each opening should imply a different thesis or angle for the article. Show all of them. Force the user to pick or compose a hybrid. The chosen opening defines what the rest of the article must do.
  3. Grow paragraph by paragraph. After the opening lands, ask "given this opening, what does the reader need to hear next?" Pull material from the pile to answer. Argue about whether the next beat is a paragraph, a list, a table, a callout, a quote, a code block. Each format choice should be deliberate and defensible.
  4. Append to the article file as you go. Don't batch. Write each agreed paragraph or block immediately so the user can see the article taking shape.
  5. Loop step 3 until the article is done. The user decides when it's done.

Conversational feel

This is a grilling session inverted. In ideation, the question was "what are you actually noticing?" Here it's "what is this article actually arguing, and in what order does the reader need to hear it?" Push back. Refuse to let weak transitions slide. If a paragraph doesn't earn its place, cut it.

Specific moves to keep using:

  • "What does this paragraph do for the reader that the previous one didn't?"
  • "If I cut this, what breaks?"
  • "Is this prose, or should it be a list? Why prose?"
  • "This sentence is doing two jobs — split it or pick one."
  • "The opening promised X. We've drifted to Y. Either re-thread it or change the opening."
Show full SKILL.md (319 more words)Show less

Pulling from the pile

Treat the raw material as a quarry, not a script. Pull a fragment, rework it to fit the surrounding paragraph, and place it. A fragment may be split across multiple paragraphs, merged with another, or paraphrased. The pile's job is to be mined; the article's job is to read as one voice.

If the pile lacks something the article needs, name the gap explicitly: "We need an example here and the pile doesn't have one — give me one now or we cut this section."

Format arguments to actually have

When choosing how to render a beat, weigh these tradeoffs out loud with the user, not silently:

  • Prose vs. list. Prose carries argument; lists carry parallel items. If items aren't truly parallel, prose is better. If they are, a list is faster to scan.
  • Inline vs. callout. Tips, warnings, and asides go in callouts (> [!TIP], > [!NOTE]) — but only if they'd genuinely derail the main argument inline. Otherwise leave them inline.
  • Table vs. repeated structure. If the same shape repeats 3+ times with the same fields, a table. Otherwise prose with bold leads.
  • Quote vs. paraphrase. Quote when the original wording is the point. Paraphrase when only the idea matters.
  • Code block vs. inline code. Multi-line, runnable, or illustrative → block. Single token or identifier → inline.

Writing rhythm

Append to the article file as each block is agreed. Re-read the file from disk before every write — the user may have edited between turns. Never overwrite blindly. If the user wants a paragraph rewritten, edit that specific paragraph in place; leave the rest alone.

Out of scope

  • Mining for new fragments that aren't in the pile (the pile is the input — if it's incomplete, name the gap and either get the user to fill it or cut the section).
  • Editing the raw material file.
  • Publishing, formatting for a specific platform, or adding frontmatter the user didn't ask for.
</supporting-info>

© InditexTech, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/writing-shape of InditexTech/weavejs.

Open the folder on GitHubat commit 2bd3672

Used in 3 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in InditexTech/weavejs, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Writing Shape next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Writing Shape compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Writing Shape this skillInditexTech/weavejs2083 repos~1.1kAutomated safety check: PassApache-2.0
Markdown Article FormatterJimLiu/baoyu-skills26k6 repos~3.5kAutomated safety check: PassMIT
MarkitdownImCa0/just-laws78114 repos~3.2kAutomated safety check: NotesMIT
Obsidian MarkdownAtmosphere/atmosphere3.8k20 repos~1.3kAutomated safety check: PassApache-2.0
DOCXrvdbreemen/OTGW-firmware20733 repos~4.3kAutomated safety check: PassProprietary
Gzh Designisjiamu/gzh-design-skill3.9k1 repos~2.2kAutomated safety check: PassAGPL-3.0

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Questions about Writing Shape

What does Writing Shape do?

Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format…. Writing Shape is an agent skill from InditexTech/weavejs. Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format (lists, tables, callouts, quotes) at each step.

When should I use Writing Shape?

Writing Shape fits situations like: the user has a pile of notes; A rough draft and wants help turning it into something publishable.

How do I install Writing Shape in Claude Code?

Run `npx skills add InditexTech/weavejs --skill writing-shape -a claude-code`. Or copy the skill folder (.agents/skills/writing-shape in InditexTech/weavejs) into .claude/skills/writing-shape in your project. Claude Code loads it when a task matches its description.

How do I install Writing Shape in Codex?

Run `npx skills add InditexTech/weavejs --skill writing-shape -a codex`. Or copy the skill folder (.agents/skills/writing-shape in InditexTech/weavejs) into .agents/skills/writing-shape in your project. Codex loads it when a task matches its description.

Can I use Writing Shape in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add InditexTech/weavejs --skill writing-shape -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/writing-shape, .gemini/skills/writing-shape, .github/skills/writing-shape and .opencode/skills/writing-shape in your project.

What does Writing Shape need to run?

SKILL.md names no scripts, command-line tools or credentials: Writing Shape is instructions for the agent only.

Does Writing Shape access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Writing Shape safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Writing Shape use?

Writing Shape is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Writing Shape use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Writing Shape?

Skills that share tags, products or a category with Writing Shape: Markdown Article Formatter (JimLiu/baoyu-skills, 26k stars), Markitdown (ImCa0/just-laws, 781 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and DOCX (rvdbreemen/OTGW-firmware, 207 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Writing Shape?

InditexTech (a GitHub organization) maintains it in InditexTech/weavejs, which has 208 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 5, 2026.

Source: InditexTech/weavejs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.