Technical Writing Standard
cursor/plugins
Applies four layers of technical-writing rules to docs, RFCs, readmes, PR descriptions and commit messages so a tired engineer follows them on the first read.
Shapes agent replies, task reports and summaries to lead with the conclusion, then evidence, risk and one concrete next step, asking questions only when answers change the outcome.
$ npx skills add Galaxy-Dawn/claude-scholar --skill expression-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar expression-skill --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/expression-skill .claude/skills/expression-skill && 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 "expression-skill" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/expression-skill into .claude/skills/expression-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expression-skill", 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/expression-skillType 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 expression-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar expression-skill --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/expression-skill .agents/skills/expression-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "expression-skill" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/expression-skill into .agents/skills/expression-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expression-skill", 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 expression-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar expression-skill --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/expression-skill .cursor/skills/expression-skill && 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 "expression-skill" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/expression-skill into .cursor/skills/expression-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expression-skill", 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/expression-skill--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 expression-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar expression-skill --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/expression-skill .gemini/skills/expression-skill && 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 "expression-skill" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/expression-skill into .gemini/skills/expression-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expression-skill", 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 expression-skillInstalls 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 expression-skill -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/expression-skill .github/skills/expression-skill && 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 "expression-skill" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/expression-skill into .github/skills/expression-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expression-skill", 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 expression-skill -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 expression-skill --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/expression-skill .opencode/skills/expression-skill && 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 "expression-skill" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/expression-skill into .opencode/skills/expression-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expression-skill", 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.
expression-skillShapes agent replies, task reports and summaries to lead with the conclusion, then evidence, risk and one concrete next step, asking questions only when answers change the outcome.
This skill sets a default order for non-trivial answers: conclusion, then evidence or reason, then risk or uncertainty, then a concrete action and a reusable next step. The aim is the shortest reliable path from the user's problem to a decision, command, artifact or next step, favoring answers that are useful and checkable over ones that merely sound complete.
Before answering, the agent works out the practical purpose, gathers facts it can find in files, configs, docs or command output instead of asking, forms one core sentence, and adds only the evidence that makes it credible, such as paths, counts, commands and dates. It asks questions only when the answer would change the outcome, in rounds of one to three, and states a safe assumption when that is enough to proceed. Reply templates for full reports, quick answers and decisions use Chinese section labels.
The skill ships examples for code tasks, file operations, long-running jobs, research discussion and writing revision, along with a communication SOP and a user-preferences reference.
8 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.
No URLs in SKILL.md.
From 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.
Conclusion-First Communication loads about 2.3k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 1,184 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). 1,184 words, ~2,277 tokens.
.claude/skills/expression-skill/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.Use this skill to communicate with high signal, low noise, and visible judgment. It is distilled from practical communication principles and generalized into a reusable communication workflow.
Put the user's current problem at the center. Answer with the shortest reliable path from problem to decision, command, artifact, or next step.
Default priorities:
Do not optimize for sounding complete. Optimize for being useful, checkable, and actionable.
Before answering a non-trivial request:
For substantial responses, prefer:
结论:
我做了:
我检查了:
风险/限制:
下一步建议:For quick answers, use:
结论:...
原因:...
建议:...For decisions, use:
我建议:
理由:
代价:
不建议:Ask questions only when the answer changes the outcome.
Before executing a non-trivial task, make sure these are clear:
Rules:
Useful tradeoff questions often choose between:
Give the main judgment first. Do not begin with long background.
Bad:
我先看了一下这些文件,然后发现里面有一些内容可以合并……Better:
结论:这批文件可以合并成一个主文件,原文件不需要改动。Before writing, ask what problem the answer solves:
Do not merely explain the topic. Connect the answer to the user's current work.
Avoid vague phrases such as:
Replace them with a path, command, checklist, decision, verification step, or concrete next action.
Rank information when priority matters:
P0:必须现在处理
P1:建议本轮处理
P2:可以之后处理Use subtraction. Say what is not worth doing now when it prevents scope creep.
The user's attention is expensive. Do not make the user extract the point.
Use subtraction actively:
Prefer numbers, paths, commands, timestamps, counts, tests, and examples.
Bad:
结构比较清晰。Better:
这个输出文件有 36 个二级章节、5358 行,开头有索引区,后面按输入顺序整理。Replace big words with observable detail.
Bad:
这个方案需要继续优化。Better:
这个方案还缺两个验证点:运行 `pytest -q`,并回读生成的 CSV 行数。When a sentence feels vague, ask:
Ask when the answer changes the spec, risk, audience, implementation path, or acceptance criteria.
Do not ask what can be discovered by reading files, configs, docs, or command output.
For planning or ambiguous tasks, ask 1-3 focused questions at a time. Continue asking in rounds until the user's intent is understood. Recommend a default option when possible.
Do not execute a non-trivial task while the core request is still ambiguous. First restate the current understanding and ask what is missing.
For long jobs, report:
When useful, convert answers into:
Lead with what changed or what should change. Include files, commands, and verification. Do not narrate every exploration step.
Separate fact, inference, and recommendation. Surface weak assumptions early. Make the key claim testable.
Prefer compressed claims over inflated wording. Make the contribution, evidence, and limitation visible.
Always report:
Report roadmarks instead of waiting silently:
State the knowledge problem first: decision, evidence trail, synthesis, reusable method, or practice artifact.
When evaluating an idea, isolate the claim:
Because A, therefore B.Test it with three questions:
Use this for research ideas, writing review, design decisions, and rebuttal-style discussion.
Status update:
当前状态:
已完成:
未完成:
风险:
下一步:File operation:
输入:
输出:
改动范围:
未改动内容:
验证结果:Learning note:
核心问题:
核心结论:
关键方法:
适用场景:
练习方式:Review or critique:
主要问题:
为什么重要:
建议改法:
验证方式:references/communication-sop.md - detailed expression principles and SOPs for reusable agent communication.references/user-preferences.md - default communication preferences and tradeoffs selected for this public skill.examples/ - short response examples for common work modes.Before finalizing, check:
© 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 9 other files (references) in skills/expression-skill of Galaxy-Dawn/claude-scholar.
Open the folder on GitHubat commit 9037873
Conclusion-First Communication 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 |
|---|---|---|---|---|---|---|
| Conclusion-First Communication this skillGalaxy-Dawn/claude-scholar | 5.7k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Technical Writing Standardcursor/plugins | 10k | 10 repos | ~2.4k | Automated safety check: Pass | None | |
| ISO 24495 Text AuditGaZmagik/iso-24495 | 189 | 1 repos | ~817 | Automated safety check: Pass | MIT | |
| JavaScript Concept Page Writerleonardomso/33-js-concepts | 67k | — | ~14k | Automated safety check: Pass | MIT | |
| Chinese Technical Writingleter/zh-tech-writing | 334 | — | ~656 | Automated safety check: Pass | MIT | |
| Technical Writing Workflowtokenbender/agent-guides | 367 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
cursor/plugins
Applies four layers of technical-writing rules to docs, RFCs, readmes, PR descriptions and commit messages so a tired engineer follows them on the first read.
GaZmagik/iso-24495
Audits a Markdown or text file or folder you choose for plain-language problems such as legalese, wordy phrases and long sentences, reporting each finding with file and line.
leonardomso/33-js-concepts
Writes or reviews documentation pages for the 33 JavaScript Concepts project, following its structure, a beginner-friendly voice and rules against AI-sounding language.
leter/zh-tech-writing
Sets writing rules for Chinese technical docs: short plain sentences, consistent typography and a checklist for removing AI-sounding filler.
tokenbender/agent-guides
A skill your agent uses for planning, researching, drafting, revising, or auditing technical write-ups, textbooks, papers, reports, READMEs, research notes, PR narratives, and public technical prose.
daniel-p-green/nbj-write-clearly
Drafts, revises, and audits reader-first technical and product documentation.
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
Shapes agent replies, task reports and summaries to lead with the conclusion, then evidence, risk and one concrete next step, asking questions only when answers change the outcome. This skill sets a default order for non-trivial answers: conclusion, then evidence or reason, then risk or uncertainty, then a concrete action and a reusable next step. The aim is the shortest reliable path from the user's problem to a decision, command, artifact or next step, favoring answers that are useful and checkable over ones that merely sound complete.
Conclusion-First Communication fits situations like: reporting the result of a coding or file-operation task concisely; summarizing a long-running job with evidence and remaining risks; giving feedback on writing or discussing research with a clear recommendation; turning study notes or plans into conclusion-first summaries.
Run `npx skills add Galaxy-Dawn/claude-scholar --skill expression-skill -a claude-code`. Or copy the skill folder (skills/expression-skill in Galaxy-Dawn/claude-scholar) into .claude/skills/expression-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Galaxy-Dawn/claude-scholar --skill expression-skill -a codex`. Or copy the skill folder (skills/expression-skill in Galaxy-Dawn/claude-scholar) into .agents/skills/expression-skill 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 expression-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/expression-skill, .gemini/skills/expression-skill, .github/skills/expression-skill and .opencode/skills/expression-skill in your project.
SKILL.md names no scripts, command-line tools or credentials: Conclusion-First Communication is instructions for the agent only.
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.
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.
Conclusion-First Communication is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.1k 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 1.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Conclusion-First Communication: Technical Writing Standard (cursor/plugins, 10k stars), ISO 24495 Text Audit (GaZmagik/iso-24495, 189 stars), JavaScript Concept Page Writer (leonardomso/33-js-concepts, 67k stars) and Chinese Technical Writing (leter/zh-tech-writing, 334 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 5,703 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.