MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
This skill should be used when the user asks to co-author documentation, draft a proposal, write a technical spec, create a decision doc or RFC, or structure a substantial document through iterative…
$ npx skills add Galaxy-Dawn/claude-scholar --skill doc-coauthoring -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar doc-coauthoring --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/doc-coauthoring .claude/skills/doc-coauthoring && rm -rf skills-srcUse ~/.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/
Install the "doc-coauthoring" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/doc-coauthoring into .claude/skills/doc-coauthoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-coauthoring", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/doc-coauthoringType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Galaxy-Dawn/claude-scholar --skill doc-coauthoring -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar doc-coauthoring --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/doc-coauthoring .agents/skills/doc-coauthoring && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "doc-coauthoring" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/doc-coauthoring into .agents/skills/doc-coauthoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-coauthoring", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Galaxy-Dawn/claude-scholar --skill doc-coauthoring -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar doc-coauthoring --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/doc-coauthoring .cursor/skills/doc-coauthoring && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "doc-coauthoring" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/doc-coauthoring into .cursor/skills/doc-coauthoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-coauthoring", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Galaxy-Dawn/claude-scholar.git --path skills/doc-coauthoring--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Galaxy-Dawn/claude-scholar --skill doc-coauthoring -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar doc-coauthoring --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/doc-coauthoring .gemini/skills/doc-coauthoring && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "doc-coauthoring" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/doc-coauthoring into .gemini/skills/doc-coauthoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-coauthoring", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Galaxy-Dawn/claude-scholar doc-coauthoringInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Galaxy-Dawn/claude-scholar --skill doc-coauthoring -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/doc-coauthoring .github/skills/doc-coauthoring && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "doc-coauthoring" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/doc-coauthoring into .github/skills/doc-coauthoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-coauthoring", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Galaxy-Dawn/claude-scholar --skill doc-coauthoring -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar doc-coauthoring --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/doc-coauthoring .opencode/skills/doc-coauthoring && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "doc-coauthoring" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/doc-coauthoring into .opencode/skills/doc-coauthoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-coauthoring", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
doc-coauthoringThis skill should be used when the user asks to co-author documentation, draft a proposal, write a technical spec, create a decision doc or RFC, or structure a substantial document through iterative…
Doc Coauthoring is an agent skill from Galaxy-Dawn/claude-scholar. This skill should be used when the user asks to co-author documentation, draft a proposal, write a technical spec, create a decision doc or RFC, or structure a substantial document through iterative collaboration and reader testing.
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/DOC-TYPES.md`, `references/READER-TEST.md` and `references/RUNTIME-MATRIX.md`).
It sits in Agent Workflows. The repository describes itself as: Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding… The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9037873. It shows what the files ask for, not the result of running them.
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.
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.
Links to these hosts (documentation or services it may open):
claude.aiFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Doc Coauthoring loads about 4.1k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 2,385 words of instructions outside code blocks.
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.
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.
The full file from Galaxy-Dawn/claude-scholar at commit 9037873, republished under its MIT licence (© Galaxy-Dawn). 2,385 words, ~4,088 tokens.
.claude/skills/doc-coauthoring/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.This skill provides a structured workflow for guiding users through collaborative document creation. Act as an active guide, walking users through three stages: Context Gathering, Refinement & Structure, and Reader Testing.
Use references/RUNTIME-MATRIX.md to decide what is available in the current environment before offering connectors, artifacts, or reader-test subagents.
If no artifact-like surface is available, default to a normal markdown file in a user-specified path or an explicitly named working file. Do not assume artifacts are available.
Trigger conditions:
Initial offer: Offer the user a structured workflow for co-authoring the document. Explain the three stages:
Explain that this approach helps ensure the doc works well when others read it (including when they paste it into Claude). Ask if they want to try this workflow or prefer to work freeform.
If user declines, work freeform. If user accepts, proceed to Stage 1.
Goal: Close the gap between what the user knows and what Claude knows, enabling smart guidance later.
Start by asking the user for meta-context about the document:
Inform them they can answer in shorthand or dump information however works best for them.
If user provides a template or mentions a doc type:
If user mentions editing an existing shared document:
Once initial questions are answered, encourage the user to dump all the context they have. Request information such as:
Advise them not to worry about organizing it - just get it all out. Offer multiple ways to provide context:
If integrations are available (e.g., Slack, Teams, Google Drive, SharePoint, or other MCP servers), mention that these can be used to pull in context directly.
If no integrations are detected and in Claude.ai or Claude app: Suggest they can enable connectors in their Claude settings to allow pulling context from messaging apps and document storage directly.
Inform them clarifying questions will be asked once they've done their initial dump.
During context gathering:
If user mentions team channels or shared documents:
If user mentions entities/projects that are unknown:
As user provides context, track what's being learned and what's still unclear
Asking clarifying questions:
When user signals they've done their initial dump (or after substantial context provided), ask clarifying questions to ensure understanding:
Generate 5-10 numbered questions based on gaps in the context.
Inform them they can use shorthand to answer (e.g., "1: yes, 2: see #channel, 3: no because backwards compat"), link to more docs, point to channels to read, or just keep info-dumping. Whatever's most efficient for them.
Exit condition: Sufficient context has been gathered when questions show understanding - when edge cases and trade-offs can be asked about without needing basics explained.
Transition: Ask if there's any more context they want to provide at this stage, or if it's time to move on to drafting the document.
If user wants to add more, let them. When ready, proceed to Stage 2.
Goal: Build the document section by section through brainstorming, curation, and iterative refinement.
Instructions to user: Explain that the document will be built section by section. For each section:
Start with whichever section has the most unknowns (usually the core decision/proposal), then work through the rest.
Section ordering:
If the document structure is clear: Ask which section they'd like to start with.
Suggest starting with whichever section has the most unknowns. For decision docs, that's usually the core proposal. For specs, it's typically the technical approach. Summary sections are best left for last.
If user doesn't know what sections they need: Based on the type of document and template, suggest 3-5 sections appropriate for the doc type.
Ask if this structure works, or if they want to adjust it.
Once structure is agreed:
Create the initial document structure with placeholder text for all sections.
If access to artifacts is available:
Use create_file to create an artifact. This gives both Claude and the user a scaffold to work from.
Inform them that the initial structure with placeholders for all sections will be created.
Create artifact with all section headers and brief placeholder text like "[To be written]" or "[Content here]".
Provide the scaffold link and indicate it's time to fill in each section.
If no access to artifacts:
Create a markdown file in the working directory. Name it appropriately (e.g., decision-doc.md, technical-spec.md).
Inform them that the initial structure with placeholders for all sections will be created.
Create file with all section headers and placeholder text.
Confirm the filename has been created and indicate it's time to fill in each section.
For each section:
Announce work will begin on the [SECTION NAME] section. Ask 5-10 clarifying questions about what should be included:
Generate 5-10 specific questions based on context and section purpose.
Inform them they can answer in shorthand or just indicate what's important to cover.
For the [SECTION NAME] section, brainstorm [5-20] things that might be included, depending on the section's complexity. Look for:
Generate 5-20 numbered options based on section complexity. At the end, offer to brainstorm more if they want additional options.
Ask which points should be kept, removed, or combined. Request brief justifications to help learn priorities for the next sections.
Provide examples:
If user gives freeform feedback (e.g., "looks good" or "I like most of it but...") instead of numbered selections, extract their preferences and proceed. Parse what they want kept/removed/changed and apply it.
Based on what they've selected, ask if there's anything important missing for the [SECTION NAME] section.
Use str_replace to replace the placeholder text for this section with the actual drafted content.
Announce the [SECTION NAME] section will be drafted now based on what they've selected.
If using artifacts: After drafting, provide a link to the artifact.
Ask them to read through it and indicate what to change. Note that being specific helps learning for the next sections.
If using a file (no artifacts): After drafting, confirm completion.
Inform them the [SECTION NAME] section has been drafted in [filename]. Ask them to read through it and indicate what to change. Note that being specific helps learning for the next sections.
Key instruction for user (include when drafting the first section): Provide a note: Instead of editing the doc directly, ask them to indicate what to change. This helps learning of their style for future sections. For example: "Remove the X bullet - already covered by Y" or "Make the third paragraph more concise".
As user provides feedback:
str_replace to make edits (never reprint the whole doc)Continue iterating until user is satisfied with the section.
After 3 consecutive iterations with no substantial changes, ask if anything can be removed without losing important information.
When section is done, confirm [SECTION NAME] is complete. Ask if ready to move to the next section.
Repeat for all sections.
As approaching completion (80%+ of sections done), announce intention to re-read the entire document and check for:
Read entire document and provide feedback.
When all sections are drafted and refined: Announce all sections are drafted. Indicate intention to review the complete document one more time.
Review for overall coherence, flow, completeness.
Provide any final suggestions.
Ask if ready to move to Reader Testing, or if they want to refine anything else.
Goal: Test the document with a fresh Claude (no context bleed) to verify it works for readers.
Instructions to user: Explain that testing will now occur to see if the document actually works for readers. This catches blind spots - things that make sense to the authors but might confuse others.
If access to sub-agents is available (e.g., in Claude Code):
Perform the testing directly without user involvement.
Announce intention to predict what questions readers might ask when trying to discover this document.
Generate 5-10 questions that readers would realistically ask.
Announce that these questions will be tested with a fresh Claude instance (no context from this conversation).
For each question, invoke a sub-agent with just the document content and the question.
Summarize what Reader Claude got right/wrong for each question.
Announce additional checks will be performed.
Invoke sub-agent to check for ambiguity, false assumptions, contradictions.
Summarize any issues found.
If issues found: Report that Reader Claude struggled with specific issues.
List the specific issues.
Indicate intention to fix these gaps.
Loop back to refinement for problematic sections.
If no access to sub-agents (e.g., claude.ai web interface):
The user will need to do the testing manually.
Ask what questions people might ask when trying to discover this document. What would they type into Claude.ai?
Generate 5-10 questions that readers would realistically ask.
Provide testing instructions:
For each question, instruct Reader Claude to provide:
Check if Reader Claude gives correct answers or misinterprets anything.
Also ask Reader Claude:
Ask what Reader Claude got wrong or struggled with. Indicate intention to fix those gaps.
Loop back to refinement for any problematic sections.
When Reader Claude consistently answers questions correctly and doesn't surface new gaps or ambiguities, the doc is ready.
When Reader Testing passes: Announce the doc has passed Reader Claude testing. Before completion:
Ask if they want one more review, or if the work is done.
If user wants final review, provide it. Otherwise: Announce document completion. Provide a few final tips:
Tone:
Handling Deviations:
Context Management:
Artifact Management:
create_file for drafting full sectionsstr_replace for all editsQuality over Speed:
Load only what is needed:
references/RUNTIME-MATRIX.md - how to adapt the workflow to Claude Code, Claude.ai, connector-rich, and connector-poor environmentsreferences/DOC-TYPES.md - default section scaffolds for common document typesreferences/READER-TEST.md - reader-testing prompts, handoff package, and pass/fail signals© Galaxy-Dawn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skills/doc-coauthoring of Galaxy-Dawn/claude-scholar.
Open the folder on GitHubat commit 9037873
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Galaxy-Dawn/claude-scholar, which our catalogue first saw on October 7, 2026.
Doc Coauthoring 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Doc Coauthoring this skillGalaxy-Dawn/claude-scholar | 5.7k | 1 repos | ~4.1k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 796 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
Galaxy-Dawn/claude-scholar
Reference guidance for checking every citation in academic writing against canonical sources such as DOI, arXiv, CrossRef and Semantic Scholar, to catch fake or wrong references.
Galaxy-Dawn/claude-scholar
Reads an improvement-plan file from a companion quality-review skill and applies its suggested fixes to a Claude Skill, backing up first.
Galaxy-Dawn/claude-scholar
Scores a skill across description, content organization, writing style and structure, then produces letter grades and a prioritized improvement plan.
Galaxy-Dawn/claude-scholar
Turns a vague UI request into a concrete design system with style, palette, typography and layout guidance from a search script, plus stack-specific implementation advice.
Galaxy-Dawn/claude-scholar
Finds recent arXiv and bioRxiv papers on a topic, narrows them in stages to one pick per field, and writes bilingual Chinese and English summaries.
Galaxy-Dawn/claude-scholar
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts.
Categories
This skill should be used when the user asks to co-author documentation, draft a proposal, write a technical spec, create a decision doc or RFC, or structure a substantial document through iterative…. Doc Coauthoring is an agent skill from Galaxy-Dawn/claude-scholar. This skill should be used when the user asks to co-author documentation, draft a proposal, write a technical spec, create a decision doc or RFC, or structure a substantial document through iterative collaboration and reader testing.
Doc Coauthoring fits situations like: asks to co-author documentation; draft a proposal; write a technical spec; create a decision doc.
Run `npx skills add Galaxy-Dawn/claude-scholar --skill doc-coauthoring -a claude-code`. Or copy the skill folder (skills/doc-coauthoring in Galaxy-Dawn/claude-scholar) into .claude/skills/doc-coauthoring in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Galaxy-Dawn/claude-scholar --skill doc-coauthoring -a codex`. Or copy the skill folder (skills/doc-coauthoring in Galaxy-Dawn/claude-scholar) into .agents/skills/doc-coauthoring in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Galaxy-Dawn/claude-scholar --skill doc-coauthoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/doc-coauthoring, .gemini/skills/doc-coauthoring, .github/skills/doc-coauthoring and .opencode/skills/doc-coauthoring in your project.
SKILL.md names no scripts, command-line tools or credentials: Doc Coauthoring is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: claude.ai. This is read from the text; nothing was executed.
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.
Doc Coauthoring is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 390 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Doc Coauthoring: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Galaxy-Dawn (a GitHub user) maintains it in Galaxy-Dawn/claude-scholar, which has 5,725 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on September 23, 2026.
Source: Galaxy-Dawn/claude-scholar on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.