Pine Backtester
TradersPost/pinescript-agents
Implements comprehensive backtesting and performance metrics.
品牌合作方案与联名策划。当用户提到"品牌合作"、"商单方案"、"合作报价"、"联名"、"联动方案"、 "博主合作"、"品牌植入"、"商务合作"、"合作提案"时触发。支持两种模式：商单方案（品牌找上门， 基于 KOL 定价表生成报价、内容形式、排期、KPI 预估）和联名策划（与博主/品牌联动，生成双方 优势互补、内容分工、互推策略）。
Install Skill Collab Proposal
$ npx skills add ZJU-REAL/Easel --skill skill-collab-proposal -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel skill-collab-proposal --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/skill-collab-proposal .claude/skills/skill-collab-proposal && 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 "skill-collab-proposal" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-collab-proposal into .claude/skills/skill-collab-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-collab-proposal", 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/skill-collab-proposalType 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 skill-collab-proposal -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel skill-collab-proposal --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/skill-collab-proposal .agents/skills/skill-collab-proposal && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-collab-proposal" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-collab-proposal into .agents/skills/skill-collab-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-collab-proposal", 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 skill-collab-proposal -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel skill-collab-proposal --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/skill-collab-proposal .cursor/skills/skill-collab-proposal && 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 "skill-collab-proposal" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-collab-proposal into .cursor/skills/skill-collab-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-collab-proposal", 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/skill-collab-proposal--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 skill-collab-proposal -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel skill-collab-proposal --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/skill-collab-proposal .gemini/skills/skill-collab-proposal && 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 "skill-collab-proposal" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-collab-proposal into .gemini/skills/skill-collab-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-collab-proposal", 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 skill-collab-proposalInstalls 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 skill-collab-proposal -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/skill-collab-proposal .github/skills/skill-collab-proposal && 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 "skill-collab-proposal" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-collab-proposal into .github/skills/skill-collab-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-collab-proposal", 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 skill-collab-proposal -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 skill-collab-proposal --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/skill-collab-proposal .opencode/skills/skill-collab-proposal && 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 "skill-collab-proposal" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-collab-proposal into .opencode/skills/skill-collab-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-collab-proposal", 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
skill-collab-proposal- GitHub stars
- 3.4k
- Token cost
- ~728 tokens
- SKILL.md length
- 253 words
- Files
- 4 (incl. references)
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
品牌合作方案与联名策划。当用户提到"品牌合作"、"商单方案"、"合作报价"、"联名"、"联动方案"、 "博主合作"、"品牌植入"、"商务合作"、"合作提案"时触发。支持两种模式：商单方案（品牌找上门， 基于 KOL 定价表生成报价、内容形式、排期、KPI 预估）和联名策划（与博主/品牌联动，生成双方 优势互补、内容分工、互推策略）。
- Works in 9 steps: 解析意图与提取信息 → 读取 Profile 数据 → 确定 KOL 层级 → …
- Tasks that involve OKRs and executive reporting
- SKILL.md covers 输入, 输出, 执行步骤 and Profile 感知, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Skill Collab Proposal is an agent skill from ZJU-REAL/Easel. 品牌合作方案与联名策划。当用户提到"品牌合作"、"商单方案"、"合作报价"、"联名"、"联动方案"、 "博主合作"、"品牌植入"、"商务合作"、"合作提案"时触发。支持两种模式：商单方案（品牌找上门， 基于 KOL 定价表生成报价、内容形式、排期、KPI 预估）和联名策划（与博主/品牌联动，生成双方 优势互补、内容分工、互推策略）。
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `EASEL-META.md`, `references/kol-pricing-guide.md` and `references/proposal-templates.md`).
It sits in Business, Finance & HR, covering OKRs and executive reporting. 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.
When your agent uses it
- Tasks that involve OKRs and executive reporting
Example prompts
- “/skill-collab-proposal”
Workflow steps
9 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
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
Skill Collab Proposal loads about 728 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 253 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). 253 words, ~728 tokens.
Download SKILL.mdSave it as
.claude/skills/skill-collab-proposal/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- skill-collab-proposal
- description
- 品牌合作方案与联名策划。当用户提到"品牌合作"、"商单方案"、"合作报价"、"联名"、"联动方案"、 "博主合作"、"品牌植入"、"商务合作"、"合作提案"时触发。支持两种模式：商单方案（品牌找上门， 基于 KOL 定价表生成报价、内容形式、排期、KPI 预估）和联名策划（与博主/品牌联动，生成双方 优势互补、内容分工、互推策略）。
- layer
- plan
合作/联名方案生成
根据合作需求，查询 KOL 定价表计算报价区间，用平台系数公式预估 KPI，输出可直接发送给品牌方或合作方的结构化提案。
输入
| 参数 | 必填 | 说明 |
|---|---|---|
| 合作方信息 | 是 | 品牌名称/合作方名称、产品或服务描述 |
| 合作模式 | 否 | 明确指定 A（商单）或 B（联名），未指定时自动判断 |
| 预算范围 | 否 | 品牌方预算上限，用于反向匹配内容形式 |
| 补充材料 | 否 | 品牌 brief、竞品案例、过往合作数据 |
自动判断规则： 含"报价""商单""品牌植入""接广告"走模式 A；含"联名""联动""博主合作""互推"走模式 B。
输出
Markdown 格式方案文档，保存到 outputs/主题名/collab-proposal.md。两种模式的完整输出结构模板见 references/proposal-templates.md：
- 模式 A（商单）：账号概况 / 合作形式与报价 / 内容创意 / KPI 预估 / 排期 / 条款建议
- 模式 B（联名）：双方概况对比 / 受众互补 / 联合内容方案 / 互推策略 / 执行排期 / 预期效果
执行步骤
1. 解析意图与提取信息
- 识别输入判断走模式 A（商单）还是模式 B（联名）
- 提取关键信息：品牌/合作方名称、产品方向、合作诉求、预算
- 缺少关键信息时主动追问，不编造品牌名或产品信息
2. 读取 Profile 数据
identity.md：账号名称、粉丝量、内容垂类、过往商单经验platforms.md：各平台粉丝数、近 30 天互动率、主力平台audience.md：受众画像（年龄、性别、地域、消费力）- 无 Profile 时留占位符，提示用户补充（见"Profile 感知"节）
3. 确定 KOL 层级
根据 identity.md 粉丝量，查 references/kol-pricing-guide.md 第 1 节层级表（素人 / KOC / 腰部 / 头部 / 顶流）。后续步骤均基于此层级。
4. 计算报价区间（模式 A）
- 查
references/kol-pricing-guide.md第 2 节，得该层级 + 平台 + 内容形式的基础报价区间 - 按第 3 节的调整因子（垂直度/时效节日/独家/二创/多平台等）叠加溢价
- 计算：调整后报价 = 基础报价 x (1 + 各项溢价之和)
- 用第 4 节 CPE 公式反向校验合理性，超出合理区间时标注警告
5. 预估 KPI
按 references/kol-pricing-guide.md 第 5 节公式逐层计算，每个数值标注计算过程：
- 预估曝光 = 粉丝数 x 平台曝光系数 x 内容类型系数（系数查第 5.1 节）
- 预估互动 = 预估曝光 x 平台互动率基线（查第 5.2 节）
- 预估转化 = 预估互动 x 内容转化率（查第 5.3 节；无转化链路的曝光类不强估，标注"以曝光为主"）
- 输出区间（保守值/乐观值），不给单一数字
6. 设计内容方案
- 推荐 2-3 种内容形式，每种标注：形式（图文/短视频/长视频/直播/混合）、时长或篇幅、创意方向和植入方式（软植入/硬广/口播/场景植入）、脚本概要（3-5 句）
- 根据
audience.md受众偏好排序推荐优先级
7. 制定排期
- 制作周期：脚本确认 → 拍摄/制作 → 品牌审核 → 发布
- 推荐发布时间：避开竞品密集期，匹配节日/热点
- 标注审核预留时间（通常 3-5 个工作日）
8. 联名策划补充步骤（模式 B）
- 对比双方账号数据（粉丝量/互动率/受众画像），用表格呈现
- 估算受众重叠度：同平台同垂类高重叠（40-60%），跨平台或跨垂类低重叠（10-25%）
- 设计内容分工矩阵：谁出镜/谁剪辑/谁的号首发/评论区互动脚本
- 双方各自 KPI 预估（复用步骤 5 的公式）
9. 保存产物
- 保存到
outputs/合作方案名/collab-proposal.md - 文件顶部标注生成时间、适用模式、数据来源
Profile 感知
有 Profile 时
- 从
identity.md读账号名称、粉丝量、垂类定位、过往商单经验 - 从
platforms.md读各平台粉丝数和互动率，确定主力平台 - 从
audience.md读受众年龄/性别/地域/消费力，用于内容方向匹配 - 报价基于实际粉丝量查表计算，KPI 基于实际互动率公式推导
- 内容形式推荐匹配账号擅长的类型
无 Profile 时
- 账号概况留占位符
[请补充：平台/粉丝量/互动率] - 报价给该内容形式全层级通用区间，标注"仅供参考，需据实际数据调整"
- KPI 预估用行业中位数，标注"基于行业平均值，实际可能有较大偏差"
- 末尾附注："如提供账号 Profile（含 identity.md / platforms.md / audience.md），可生成精准报价和 KPI 预估"
规则
- 报价必须有据可查 — 每个报价数字须能追溯到
references/kol-pricing-guide.md的层级表 + 调整因子，禁止凭空编造 - KPI 必须标注公式 — 每个预估值旁标注计算过程（如"10 万粉 x 0.3 系数 = 3 万曝光"）
- 区间优于单值 — 报价和 KPI 一律给保守值-乐观值区间
- 缺信息时追问，不编造 — 品牌名、产品信息、预算等关键字段缺失时必须追问
- CPE 校验必做 — 报价算完必须用 CPE 公式反向验证，不合理时标注警告
- 内容形式至少 2 个 — 每种标注优劣
- 转化预估需谨慎 — 无直接转化链路的合作不强行预估转化率
- 禁止使用破折号（em dash）
© 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 3 other files (references) in skills/openclaw/skill-collab-proposal of ZJU-REAL/Easel.
- SKILL.md
- EASEL-META.md
- references/kol-pricing-guide.md
- references/proposal-templates.md
Open the folder on GitHubat commit 278f420
Compare with similar skills
Skill Collab Proposal 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 |
|---|---|---|---|---|---|---|
| Skill Collab Proposal this skillZJU-REAL/Easel | 3.4k | — | ~728 | Automated safety check: Pass | Apache-2.0 | |
| Pine BacktesterTradersPost/pinescript-agents | 170 | 1 repos | ~3.9k | Automated safety check: Pass | None | |
| Analytics Strategyrampstackco/claude-skills | 945 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Onboarding Plannerbpinheiroms/dotfiles | 108 | — | ~5.4k | Automated safety check: Pass | None | |
| Replit Decksanqiufong/slides-from-anything | 132 | 1 repos | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Building Streamlit Dashboardsiusztinpaul/designing-real-world-ai-agents-workshop | 512 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Analytics Strategy
rampstackco/claude-skills
Design measurement frameworks including event taxonomy, KPI hierarchy, dashboard architecture, attribution models, and analytics implementation strategy.
Onboarding Planner
bpinheiroms/dotfiles
Plan high-conversion mobile app onboarding flows from scratch.
Replit Deck
sanqiufong/slides-from-anything
Single-file horizontal-swipe HTML deck in the style of Replit Slides's landing-page template gallery.
Building Streamlit Dashboards
iusztinpaul/designing-real-world-ai-agents-workshop
Building dashboards in Streamlit. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop.
Massing Bim
ibuilder/massing
Drive a Massing BIM/AEC project from an AI agent over MCP — read a project's status, records, CDE, KPI and model-quality checks; run standards-compliance, schedule-risk, embodied-carbon, permit-…
More from ZJU-REAL/Easel
All 114 skills in this repoGzh Design
ZJU-REAL/Easel
微信公众号文章排版引擎：把 Markdown / Word(.docx) / PDF / 纯文本转成可直接粘贴进公众号编辑器的 HTML，自动章节编号、关键词标记、引言卡、目录、代码块、图片/GIF、作者签名；主题从 references/theme-index.md…
Skill Wechat Publisher
ZJU-REAL/Easel
微信公众号文章自动创作与发布工具。给定参考文章、文字或文档，自动搜索整理全网相关信息、生成图文并茂的公众号文章，并发布到微信公众号草稿箱。特别强调反 AI 检测写作。
Card Design
ZJU-REAL/Easel
社媒卡片视觉设计系统：提供配色、中文字体层级、满画幅布局、品类骨架和死空白/密度质检，避免模板化 PPT 与廉价 AI 感。
Ecom Details Image
ZJU-REAL/Easel
生成电商商品视觉方案：主图概念、场景图、详情页视觉方向和 AI 生图 Prompt. An agent skill from ZJU-REAL/Easel.
Infographic
ZJU-REAL/Easel
将数据或文字内容转化为可视化信息图，支持静态（AntV）和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画；要单张静态图片 URL 用 chart-visualization，要 CSV/JSON→整页报告用 data-report
Novel Writer
ZJU-REAL/Easel
长篇小说/网文连载创作：从世界观、人设和三级大纲写到逐章正文，并用文件化状态维护伏笔、前情和跨章一致性. An agent skill from ZJU-REAL/Easel.
Related
Categories
Questions about Skill Collab Proposal
What does Skill Collab Proposal do?
品牌合作方案与联名策划。当用户提到"品牌合作"、"商单方案"、"合作报价"、"联名"、"联动方案"、 "博主合作"、"品牌植入"、"商务合作"、"合作提案"时触发。支持两种模式：商单方案（品牌找上门， 基于 KOL 定价表生成报价、内容形式、排期、KPI 预估）和联名策划（与博主/品牌联动，生成双方 优势互补、内容分工、互推策略）。. Skill Collab Proposal is an agent skill from ZJU-REAL/Easel.
When should I use Skill Collab Proposal?
Skill Collab Proposal fits situations like: tasks that involve OKRs and executive reporting.
How do I install Skill Collab Proposal in Claude Code?
Run `npx skills add ZJU-REAL/Easel --skill skill-collab-proposal -a claude-code`. Or copy the skill folder (skills/openclaw/skill-collab-proposal in ZJU-REAL/Easel) into .claude/skills/skill-collab-proposal in your project. Claude Code loads it when a task matches its description.
How do I install Skill Collab Proposal in Codex?
Run `npx skills add ZJU-REAL/Easel --skill skill-collab-proposal -a codex`. Or copy the skill folder (skills/openclaw/skill-collab-proposal in ZJU-REAL/Easel) into .agents/skills/skill-collab-proposal in your project. Codex loads it when a task matches its description.
Can I use Skill Collab Proposal 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 skill-collab-proposal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-collab-proposal, .gemini/skills/skill-collab-proposal, .github/skills/skill-collab-proposal and .opencode/skills/skill-collab-proposal in your project.
What does Skill Collab Proposal need to run?
SKILL.md names no scripts, command-line tools or credentials: Skill Collab Proposal is instructions for the agent only.
Does Skill Collab Proposal 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 Skill Collab Proposal 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 Skill Collab Proposal use?
Skill Collab Proposal 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 Skill Collab Proposal use?
About 728 tokens (SKILL.md is roughly 2.9k 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 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Skill Collab Proposal?
Skills that share tags, products or a category with Skill Collab Proposal: Pine Backtester (TradersPost/pinescript-agents, 170 stars), Analytics Strategy (rampstackco/claude-skills, 945 stars), Onboarding Planner (bpinheiroms/dotfiles, 108 stars) and Replit Deck (sanqiufong/slides-from-anything, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Collab Proposal?
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.