Zach Product Research
zach22-1999/amazon-skills
基于Sorftime MCP的选品分析，发现高潜力市场机会、多维度属性标注与交叉分析、验证竞争格局、测算投入产出、输出Go/No-Go决策与选品报告。
Assess whether a team should enter or expand on Amazon using unit economics, cash runway, product-market fit, operational capability, compliance, and staged validation.
Install Sealeap Amazon Seller Entry Assessment
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-seller-entry-assessment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-seller-entry-assessment --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/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment .claude/skills/sealeap-amazon-seller-entry-assessment && 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 "sealeap-amazon-seller-entry-assessment" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment into .claude/skills/sealeap-amazon-seller-entry-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-seller-entry-assessment", 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/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessmentType 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 xjli360/sealeap-amazon-skills --skill sealeap-amazon-seller-entry-assessment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-seller-entry-assessment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment .agents/skills/sealeap-amazon-seller-entry-assessment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sealeap-amazon-seller-entry-assessment" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment into .agents/skills/sealeap-amazon-seller-entry-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-seller-entry-assessment", 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 xjli360/sealeap-amazon-skills --skill sealeap-amazon-seller-entry-assessment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-seller-entry-assessment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment .cursor/skills/sealeap-amazon-seller-entry-assessment && 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 "sealeap-amazon-seller-entry-assessment" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment into .cursor/skills/sealeap-amazon-seller-entry-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-seller-entry-assessment", 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/xjli360/sealeap-amazon-skills.git --path amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment--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 xjli360/sealeap-amazon-skills --skill sealeap-amazon-seller-entry-assessment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-seller-entry-assessment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment .gemini/skills/sealeap-amazon-seller-entry-assessment && 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 "sealeap-amazon-seller-entry-assessment" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment into .gemini/skills/sealeap-amazon-seller-entry-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-seller-entry-assessment", 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 xjli360/sealeap-amazon-skills sealeap-amazon-seller-entry-assessmentInstalls 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 xjli360/sealeap-amazon-skills --skill sealeap-amazon-seller-entry-assessment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment .github/skills/sealeap-amazon-seller-entry-assessment && 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 "sealeap-amazon-seller-entry-assessment" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment into .github/skills/sealeap-amazon-seller-entry-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-seller-entry-assessment", 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 xjli360/sealeap-amazon-skills --skill sealeap-amazon-seller-entry-assessment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-seller-entry-assessment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment .opencode/skills/sealeap-amazon-seller-entry-assessment && 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 "sealeap-amazon-seller-entry-assessment" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment into .opencode/skills/sealeap-amazon-seller-entry-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-seller-entry-assessment", 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
sealeap-amazon-seller-entry-assessment- GitHub stars
- 251
- Token cost
- ~533 tokens
- SKILL.md length
- 91 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Assess whether a team should enter or expand on Amazon using unit economics, cash runway, product-market fit, operational capability, compliance, and staged validation.
- Works in 6 steps: 评估创始条件 → 建立单位经济模型 → 测现金周期 → …
- The user asks whether Amazon is still worth doing
- SKILL.md covers 目标, 适用任务, 开始前要拿到 and 不可妥协的边界, plus 4 more sections
- Runs Python scripts from its folder
What it does
Sealeap Amazon Seller Entry Assessment is an agent skill from xjli360/sealeap-amazon-skills. Assess whether a team should enter or expand on Amazon using unit economics, cash runway, product-market fit, operational capability, compliance, and staged validation. Use when the user asks whether Amazon is still worth doing, whether a new seller or factory should enter, what product-price band to choose, or how to make a GO/NO-GO decision. Do not promise returns or treat anecdotes as benchmarks.
Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `scripts/mcp_research.py`).
It sits in Product & Project Management, covering E-commerce operations, Financial modeling and Feature launches and release readiness. It works with Model Context Protocol. The repository describes itself as: Reusable Agent Skills for Amazon product research, listings, advertising, inventory, and operations. The licence is MIT.
When your agent uses it
- The user asks whether Amazon is still worth doing
- Whether a new seller
- Factory should enter
- What product-price band to choose
Example prompts
- “/sealeap-amazon-seller-entry-assessment”
Requirements
- Python 3
Workflow steps
6 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 497d4b8. 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
Ships 1 file in scripts/ (Python), which the agent can run.
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
Sealeap Amazon Seller Entry Assessment loads about 533 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 91 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); the scripts in this folder are not scanned.
SKILL.md
The full file from xjli360/sealeap-amazon-skills at commit 497d4b8, republished under its MIT licence (© xjli360). 91 words, ~533 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-amazon-seller-entry-assessment/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- sealeap-amazon-seller-entry-assessment
- description
- Assess whether a team should enter or expand on Amazon using unit economics, cash runway, product-market fit, operational capability, compliance, and staged validation. Use when the user asks whether Amazon is still worth doing, whether a new seller or factory should enter, what product-price band to choose, or how to make a GO/NO-GO decision. Do not promise returns or treat anecdotes as benchmarks.
Amazon 卖家入场可行性评估
目标
把“还能不能做”转化为团队自身条件、商品经济性和可验证市场假设的决策，而不是用个别成功案例代替分析。
适用任务
- 新卖家、工厂或运营团队准备进入 Amazon。
- 比较高低客单、精品与精铺、小团队与扩张模式。
- 评估当前资金是否足以度过开发、生产、运输和验证周期。
开始前要拿到
- 团队经验、可投入时间、供应链能力、合规能力和失败承受度。
- 产品售价、成本、费用、退货、广告 CPC/CVR 和库存周转假设。
- 市场规模、竞争、差异化、知识产权和资质门槛。
缺失的数据要明确列为缺口，并把结论标成事实、估算或假设；不要补造数字。
不可妥协的边界
- 高客单并非天然更优；必须同时验证转化、退货、资本占用和售后成本。
- 不把低价、朋友成功或工厂供货优势单独当作进入理由。
- 不建议借贷或投入不可承受资金，也不提供收益保证。
- 当前 Amazon 官方政策、帮助页、账户资格和后台实际字段优先于本 Skill 中的经验框架；规则可能变化时先核验。
- 默认提供诊断或草案。写入前展示对象、旧值、新值、影响、停止线与回退，核对用户已有授权是否覆盖对象、动作与预算；范围已明确授权时继续执行并回读核验，只有未覆盖或扩大的范围才请求批准。
- 不输出原素材的创作者身份、账号、链接、视频编号或可反查线索；当前业务证据的官方来源、采集时间和口径仍需保留。
第三方 MCP 数据
只有在本任务确实需要外部市场、竞品、关键词或公开网页证据时，才读取 references/mcp-data-plan.md，并使用 scripts/mcp_research.py。
- 先动态执行 tools/list、search-tools 和 describe，依据实时 inputSchema 构造参数，不照搬历史工具名。
- 凭证只从环境变量读取，不放进命令参数、URL、Skill、结果文件或 Git。
- tools/call 可能计费。调用前展示 Provider、工具名、无密钥参数、预计成本与输出位置，核对已有授权覆盖后才加 --allow-cost；该标志不是费用上限。
- 第三方数据标为估算或代理证据，记录 Provider、工具、无密钥参数、查询时间和原始结果位置；失败一次后记录缺口，不反复消耗额度。
- 脱敏结果用 --output 写到 Skill 包之外的任务私有目录；不假设安装位置受仓库 .gitignore 保护，不把运行结果写入 Skill 包。
工作流
1. 评估创始条件
列出可迁移能力、缺口、时间投入和关键人依赖，区分运营经验与经营全盘能力。
2. 建立单位经济模型
从净售价扣除平台费、物流、广告、退货、税费和 COGS，计算贡献利润和盈亏平衡指标。
3. 测现金周期
覆盖备货、海运或空运、入仓、推广、回款和补货，计算基准与压力情景下的资金峰值。
4. 验证市场匹配
用多个可比产品、需求趋势和消费者痛点验证差异化，不照抄单一竞品。
5. 设计小规模试点
用少量 SKU、明确验证期和停止线先完成从零到一；成功后再复制，不提前扩团队和固定成本。
6. 形成决策
按产品、资金、能力、合规和时机分别评分，输出 GO、CONDITIONAL GO 或 NO-GO。
判断标准
- 利润和现金流同时为正才算健康，不用销售额替代。
- 关键假设都有验证方法和失败退出路径。
- 模式选择与团队真实优势相匹配。
必须交付的结果
- 入场能力与缺口表。
- 单位经济和现金流压力测试。
- 最小验证方案。
- 带前置条件的决策结论。
结尾列出数据窗口、关键假设、证据缺口、风险和下一步；如包含待执行动作，单独放在“待批准变更”中。
© xjli360, MIT. 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 (scripts, references) in amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment of xjli360/sealeap-amazon-skills.
- SKILL.md
- agents/openai.yaml
- references/mcp-data-plan.md
- scripts/mcp_research.py
Open the folder on GitHubat commit 497d4b8
Compare with similar skills
Sealeap Amazon Seller Entry Assessment 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 |
|---|---|---|---|---|---|---|
| Sealeap Amazon Seller Entry Assessment this skillxjli360/sealeap-amazon-skills | 251 | — | ~533 | Automated safety check: Pass | MIT | |
| Zach Product Researchzach22-1999/amazon-skills | 209 | 1 repos | ~9.6k | Automated safety check: Notes | MIT | |
| Sec S1 AnalysisOctagonAI/skills | 127 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Pre Release Testherald-email/herald-mail-app | 146 | — | ~448 | Automated safety check: Pass | Custom licence | |
| Azsdk Common Prepare Release PlanAzure/azure-sdk-for-android | 121 | — | ~733 | Automated safety check: Pass | MIT | |
| Dogfoodpaiml/aprender | 130 | — | ~13k | Automated safety check: Pass | MIT |
Similar skills
Sec S1 Analysis
OctagonAI/skills
Analyze S-1 registration statements for IPOs using Octagon MCP.
Pre Release Test
herald-email/herald-mail-app
A skill your agent uses when preparing a Herald beta release, checking release readiness, or running broad deterministic integration gates across TUI themes, inline images, SSH, and MCP before…
- Official
Azsdk Common Prepare Release Plan
Azure/azure-sdk-for-android
Create and manage release plan work items for Azure SDK releases across languages.
Dogfood
paiml/aprender
Sovereign-stack PRE-RELEASE protocol. An agent skill from paiml/aprender.
Repo Genome
ruvnet/metaharness
7-section readiness scorecard for a LOCAL repo. An agent skill from ruvnet/metaharness.
More from xjli360/sealeap-amazon-skills
All 179 skills in this repoSealeap Amazon Acos Diagnostics
xjli360/sealeap-amazon-skills
Diagnose Amazon Ads ACOS with reconciled CTR, CPC, CVR, AOV, ROAS, TACOS, placement, search-term, benchmark, attribution, and contribution-margin evidence, then produce a single-variable…
Sealeap Amazon Ca Apparel Ads
xjli360/sealeap-amazon-skills
Diagnose and draft Amazon Canada apparel advertising plans with lifecycle and seasonal timing, English/French search coverage, account evidence, profitability guardrails, and approval-ready…
Sealeap Amazon Listing Optimizer
xjli360/sealeap-amazon-skills
Audit, diagnose, rewrite, creatively brief, test, and safely prepare updates for Amazon product detail pages using live marketplace and product-type requirements, verified product facts, Brand…
Sealeap Amazon Prime Day Planning
xjli360/sealeap-amazon-skills
Filter, interpret, and turn the authorized 2025 Amazon Prime Day advertising insight records into a qualified event plan without averaging incompatible slices or treating historical benchmarks as…
Sealeap Amazon Product Targeting
xjli360/sealeap-amazon-skills
Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, including audience expansion, competitor and category traffic, cross-sell…
Sealeap Amazon Acos Conversion Diagnostics
xjli360/sealeap-amazon-skills
Diagnose high Amazon Ads ACoS by decomposing CPC, conversion rate, price, query mix, placement mix, and sample sufficiency.
Related
Works with
Questions about Sealeap Amazon Seller Entry Assessment
What does Sealeap Amazon Seller Entry Assessment do?
Assess whether a team should enter or expand on Amazon using unit economics, cash runway, product-market fit, operational capability, compliance, and staged validation. Sealeap Amazon Seller Entry Assessment is an agent skill from xjli360/sealeap-amazon-skills. Assess whether a team should enter or expand on Amazon using unit economics, cash runway, product-market fit, operational capability, compliance, and staged validation.
When should I use Sealeap Amazon Seller Entry Assessment?
Sealeap Amazon Seller Entry Assessment fits situations like: the user asks whether Amazon is still worth doing; whether a new seller; factory should enter; what product-price band to choose.
How do I install Sealeap Amazon Seller Entry Assessment in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-seller-entry-assessment -a claude-code`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-amazon-seller-entry-assessment in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Amazon Seller Entry Assessment in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-seller-entry-assessment -a codex`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-seller-entry-assessment in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-amazon-seller-entry-assessment in your project. Codex loads it when a task matches its description.
Can I use Sealeap Amazon Seller Entry Assessment 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 xjli360/sealeap-amazon-skills --skill sealeap-amazon-seller-entry-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sealeap-amazon-seller-entry-assessment, .gemini/skills/sealeap-amazon-seller-entry-assessment, .github/skills/sealeap-amazon-seller-entry-assessment and .opencode/skills/sealeap-amazon-seller-entry-assessment in your project.
What does Sealeap Amazon Seller Entry Assessment need to run?
Going by SKILL.md and its folder, Sealeap Amazon Seller Entry Assessment needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Amazon Seller Entry Assessment 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 Sealeap Amazon Seller Entry Assessment 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Sealeap Amazon Seller Entry Assessment use?
Sealeap Amazon Seller Entry Assessment is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sealeap Amazon Seller Entry Assessment use?
About 533 tokens (SKILL.md is roughly 2.1k 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 1.5k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Amazon Seller Entry Assessment?
Skills that share tags, products or a category with Sealeap Amazon Seller Entry Assessment: Zach Product Research (zach22-1999/amazon-skills, 209 stars), Sec S1 Analysis (OctagonAI/skills, 127 stars), Pre Release Test (herald-email/herald-mail-app, 146 stars) and Azsdk Common Prepare Release Plan (Azure/azure-sdk-for-android, 121 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Amazon Seller Entry Assessment?
xjli360 (a GitHub user) maintains it in xjli360/sealeap-amazon-skills, which has 251 GitHub stars. The repository holds 179 skills in this directory. The repository was last updated on September 28, 2026.
Source: xjli360/sealeap-amazon-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.