Condense
notque/vexjoy-agent
Maximize information density: preserve all instructions, remove prose filler.
字数裁剪/摘要：把长文本压缩到指定字数，保留核心信息。支持硬裁剪（严格字数）、 摘要（保留要点）、金句提取（只保留最精华的句子）三种模式。
Apache-2.0Auto-check passed
Install Text Condenser
$ npx skills add ZJU-REAL/Easel --skill text-condenser -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel text-condenser --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/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/text-condenser .claude/skills/text-condenser && 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 "text-condenser" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-condenser into .claude/skills/text-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-condenser", 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/ZJU-REAL/Easel/tree/main/skills/openclaw/text-condenserType 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 ZJU-REAL/Easel --skill text-condenser -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel text-condenser --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw/text-condenser .agents/skills/text-condenser && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "text-condenser" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-condenser into .agents/skills/text-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-condenser", 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 ZJU-REAL/Easel --skill text-condenser -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel text-condenser --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw/text-condenser .cursor/skills/text-condenser && 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 "text-condenser" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-condenser into .cursor/skills/text-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-condenser", 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/ZJU-REAL/Easel.git --path skills/openclaw/text-condenser--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 ZJU-REAL/Easel --skill text-condenser -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel text-condenser --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw/text-condenser .gemini/skills/text-condenser && 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 "text-condenser" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-condenser into .gemini/skills/text-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-condenser", 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 ZJU-REAL/Easel text-condenserInstalls 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 ZJU-REAL/Easel --skill text-condenser -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw/text-condenser .github/skills/text-condenser && 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 "text-condenser" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-condenser into .github/skills/text-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-condenser", 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 ZJU-REAL/Easel --skill text-condenser -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZJU-REAL/Easel text-condenser --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw/text-condenser .opencode/skills/text-condenser && 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 "text-condenser" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/text-condenser into .opencode/skills/text-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-condenser", 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.
Facts
- Skill name
text-condenser- GitHub stars
- 3.4k
- Token cost
- ~696 tokens
- SKILL.md length
- 216 words
- Files
- 2
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
字数裁剪/摘要：把长文本压缩到指定字数，保留核心信息。支持硬裁剪（严格字数）、 摘要（保留要点）、金句提取（只保留最精华的句子）三种模式。
- Works in 5 steps: 原文分析 → 裁剪策略 → 执行压缩 → …
- SKILL.md covers 输入, 输出, 执行步骤 and Profile 感知
- Calls python3
What it does
Text Condenser is an agent skill from ZJU-REAL/Easel. 字数裁剪/摘要：把长文本压缩到指定字数，保留核心信息。支持硬裁剪（严格字数）、 摘要（保留要点）、金句提取（只保留最精华的句子）三种模式。 特别适合从长文生成平台适配的短文。 使用时机：用户说"裁到 140 字"、"压缩一下"、"太长了"、"摘要"、"精简"、 "缩写"、"字数裁剪"、"帮我缩短"、"提炼要点"。 和 text-polisher 的区别：polisher 润色文案不改长度，condenser 压缩篇幅不做质量提升。
Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `EASEL-META.md`).
The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.
Example prompts
- “裁到 140 字”
- “/text-condenser”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 278f420. 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
Shell commands in SKILL.md call:
python3
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
Text Condenser loads about 696 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 216 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.
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 ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 216 words, ~696 tokens.
Download SKILL.mdSave it as
.claude/skills/text-condenser/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- text-condenser
- description
- 字数裁剪/摘要：把长文本压缩到指定字数，保留核心信息。支持硬裁剪（严格字数）、 摘要（保留要点）、金句提取（只保留最精华的句子）三种模式。 特别适合从长文生成平台适配的短文。 使用时机：用户说"裁到 140 字"、"压缩一下"、"太长了"、"摘要"、"精简"、 "缩写"、"字数裁剪"、"帮我缩短"、"提炼要点"。 和 text-polisher 的区别：polisher 润色文案不改长度，condenser 压缩篇幅不做质量提升。
- layer
- produce
字数裁剪/摘要
把长文本压缩到指定字数，保留核心信息，适配不同平台的字数限制。
输入
| 字段 | 必填 | 说明 |
|---|---|---|
text | 是 | 待压缩的原文 |
target_length | 否 | 目标字数（如 140、280、500）；不指定则自动压缩到原文 30%-50% |
mode | 否 | 压缩模式：strict / summary / extract（默认 summary） |
platform | 否 | 目标平台（自动设定字数限制）：weibo(140) / twitter(280) / xiaohongshu(1000) / zhihu_answer(自由) |
preserve | 否 | 必须保留的关键信息/关键词列表 |
tone | 否 | 压缩后的语气倾向：neutral（默认）/ punchy（有力）/ soft（柔和） |
压缩模式说明
| 模式 | 行为 | 适用场景 |
|---|---|---|
strict | 严格控制在目标字数 ±5%，逐字斟酌 | 有硬性字数限制的平台（微博、Twitter） |
summary | 保留所有要点，允许字数浮动 ±15% | 生成摘要、文章导语 |
extract | 只提取原文中最精华的原句，不改写 | 金句提取、精华摘录 |
输出
- 压缩后的文案
- 压缩报告：原文字数、目标字数、实际字数、压缩率、保留的核心要点列表
- 写入
outputs/目录
执行步骤
字数以脚本为准：字数统计和达标判定一律用
skills/shared/scripts/wordcount.py， 不靠自己数。LLM 负责改写，脚本负责判定。 社媒计数口径（social_count）= 中文字符 + 英文单词 + 数字串 + 标点。
Step 1 — 原文分析
- 统计原文字数：
python3 skills/shared/scripts/wordcount.py count -f <原文>（或经 stdin 传入） - 提取核心信息结构：
- 中心论点 / 核心事实
- 关键论据 / 支撑数据
- 次要信息 / 补充说明
- 修饰性内容 / 过渡句
- 对每条信息标注优先级（P0 必留 / P1 尽量留 / P2 可删）
Step 2 — 裁剪策略
根据保留率（目标字数 / 原文字数）选择策略：
| 保留率 | 策略 | 说明 |
|---|---|---|
| > 70% | 轻度删减 | 删冗余修饰、合并重复表达 |
| 40%-70% | 中度压缩 | 删 P2 信息、精简句式、合并相似段落 |
| 20%-40% | 重度压缩 | 只留 P0/P1、改写为高密度表达 |
| < 20% | 极限压缩 | 只留 P0、一句话概括 |
Step 3 — 执行压缩
按 mode 执行：
strict 模式（脚本兜底，闭环调整）：
- 先裁到目标字数的 120%
- 逐句精简，去掉每句中可删的词
- 调用脚本校验：
python3 skills/shared/scripts/wordcount.py check --target <N> -f <文件>（或经 stdin 传入）- 退出码 0 = 达标；非 0 = 未达标，脚本会给出「还需增/删 X 字」
- 平台硬限制默认 ±5%，可用
--tolerance调整（如--tolerance 0.1）
- 未达标则继续改写并重新 check，直到脚本判定 pass（退出码 0），不得凭感觉收尾
- 确认无断句、无残句
summary 模式：
- 按信息优先级筛选内容
- 用自己的话重写，不受原文句式约束
- 确保逻辑连贯、可独立阅读
extract 模式：
- 对每句打分（信息密度 x 表达质量）
- 按得分降序选句，直到接近目标字数
- 调整句序使其连贯
- 不改写原句（最多做衔接过渡）
Step 4 — 质量检查
- 字数是否达标：strict 模式必须以
wordcount.py check退出码 0 为准；其他模式用wordcount.py count核对是否落在容差范围 preserve中的关键信息是否全部保留- 压缩后是否可独立阅读（不需要看原文就能理解）
- 是否有信息失真（压缩导致意思改变）
- 句子是否完整（无残句、无悬空指代）
Step 5 — 输出压缩报告
压缩报告:
- 原文: 2,350 字
- 目标: 500 字
- 实际: 487 字 (压缩率 79.3%，压缩率 = 已删减比例 = 1 − 实际/原文)
- 模式: summary
- 保留要点:
1. [P0] 核心论点 — 已保留
2. [P0] 关键数据 — 已保留
3. [P1] 案例说明 — 已精简
4. [P2] 背景介绍 — 已删除Profile 感知
- 有 Profile：从
style.md读取品牌调性，压缩时保持一致的语言风格；参考platforms.md中的平台偏好，自动匹配最常用平台的字数规范 - 无 Profile：按用户指定的参数压缩；未指定平台时默认
summary模式，压缩到原文 30%-50%
自研溯源与参考项目见同目录
EASEL-META.md。
© ZJU-REAL, 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
SKILL.md and 1 other file in skills/openclaw/text-condenser of ZJU-REAL/Easel.
- SKILL.md
- EASEL-META.md
Open the folder on GitHubat commit 278f420
Compare with similar skills
Text Condenser 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 |
|---|---|---|---|---|---|---|
| Text Condenser this skillZJU-REAL/Easel | 3.4k | — | ~696 | Automated safety check: Pass | Apache-2.0 | |
| Condensenotque/vexjoy-agent | 441 | — | ~929 | Automated safety check: Notes | MIT | |
| Doc CondenserMathews-Tom/armory | 329 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Text Condenseruntsang/RebuttalStudio | 218 | — | ~465 | Automated safety check: Pass | None | |
| Stage4 Condense Contextruntsang/RebuttalStudio | 218 | — | ~197 | Automated safety check: Pass | None | |
| Cc Skill Strategic Compactsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | MIT |
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Questions about Text Condenser
What does Text Condenser do?
字数裁剪/摘要：把长文本压缩到指定字数，保留核心信息。支持硬裁剪（严格字数）、 摘要（保留要点）、金句提取（只保留最精华的句子）三种模式。. Text Condenser is an agent skill from ZJU-REAL/Easel.
How do I install Text Condenser in Claude Code?
Run `npx skills add ZJU-REAL/Easel --skill text-condenser -a claude-code`. Or copy the skill folder (skills/openclaw/text-condenser in ZJU-REAL/Easel) into .claude/skills/text-condenser in your project. Claude Code loads it when a task matches its description.
How do I install Text Condenser in Codex?
Run `npx skills add ZJU-REAL/Easel --skill text-condenser -a codex`. Or copy the skill folder (skills/openclaw/text-condenser in ZJU-REAL/Easel) into .agents/skills/text-condenser in your project. Codex loads it when a task matches its description.
Can I use Text Condenser 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 ZJU-REAL/Easel --skill text-condenser -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/text-condenser, .gemini/skills/text-condenser, .github/skills/text-condenser and .opencode/skills/text-condenser in your project.
What does Text Condenser need to run?
Going by SKILL.md and its folder, Text Condenser needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Text Condenser 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 Text Condenser 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 Text Condenser use?
Text Condenser 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 Text Condenser use?
About 696 tokens (SKILL.md is roughly 2.8k 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 Text Condenser?
Skills that share tags, products or a category with Text Condenser: Condense (notque/vexjoy-agent, 441 stars), Doc Condenser (Mathews-Tom/armory, 329 stars), Text Condense (runtsang/RebuttalStudio, 218 stars) and Stage4 Condense Context (runtsang/RebuttalStudio, 218 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Text Condenser?
ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 2026.
Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.