Creating Financial Models
Chen-zexi/open-ptc-agent
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
Recover an underperforming Amazon new-product advertising program by diagnosing traffic concentration, sample sufficiency, placement mix, retail readiness, and unit economics in a fixed order.
Install Sealeap Amazon New Product Ad Recovery
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-new-product-ad-recovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-new-product-ad-recovery --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-new-product-ad-recovery .claude/skills/sealeap-amazon-new-product-ad-recovery && 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-new-product-ad-recovery" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-ad-recovery into .claude/skills/sealeap-amazon-new-product-ad-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-ad-recovery", 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-new-product-ad-recoveryType 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-new-product-ad-recovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-new-product-ad-recovery --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-new-product-ad-recovery .agents/skills/sealeap-amazon-new-product-ad-recovery && 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-new-product-ad-recovery" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-ad-recovery into .agents/skills/sealeap-amazon-new-product-ad-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-ad-recovery", 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-new-product-ad-recovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-new-product-ad-recovery --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-new-product-ad-recovery .cursor/skills/sealeap-amazon-new-product-ad-recovery && 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-new-product-ad-recovery" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-ad-recovery into .cursor/skills/sealeap-amazon-new-product-ad-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-ad-recovery", 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-new-product-ad-recovery--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-new-product-ad-recovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-new-product-ad-recovery --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-new-product-ad-recovery .gemini/skills/sealeap-amazon-new-product-ad-recovery && 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-new-product-ad-recovery" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-ad-recovery into .gemini/skills/sealeap-amazon-new-product-ad-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-ad-recovery", 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-new-product-ad-recoveryInstalls 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-new-product-ad-recovery -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-new-product-ad-recovery .github/skills/sealeap-amazon-new-product-ad-recovery && 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-new-product-ad-recovery" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-ad-recovery into .github/skills/sealeap-amazon-new-product-ad-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-ad-recovery", 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-new-product-ad-recovery -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-new-product-ad-recovery --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-new-product-ad-recovery .opencode/skills/sealeap-amazon-new-product-ad-recovery && 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-new-product-ad-recovery" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-ad-recovery into .opencode/skills/sealeap-amazon-new-product-ad-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-ad-recovery", 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-new-product-ad-recovery- GitHub stars
- 251
- Token cost
- ~518 tokens
- SKILL.md length
- 90 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Recover an underperforming Amazon new-product advertising program by diagnosing traffic concentration, sample sufficiency, placement mix, retail readiness, and unit economics in a fixed order.
- Works in 6 steps: 检查流量集中度 → 检查样本充分性 → 检查广告位 → …
- A new ASIN has run for days
- 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 New Product Ad Recovery is an agent skill from xjli360/sealeap-amazon-skills. Recover an underperforming Amazon new-product advertising program by diagnosing traffic concentration, sample sufficiency, placement mix, retail readiness, and unit economics in a fixed order. Use when a new ASIN has run for days or weeks with few orders, scattered clicks, or unclear next steps. Build controlled tests and do not increase budget or change live ads without approval.
Its SKILL.md is about 520 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 Business, Finance & HR, covering Financial modeling. 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
- A new ASIN has run for days
- Weeks with few orders
- Scattered clicks
- Unclear next steps
Example prompts
- “/sealeap-amazon-new-product-ad-recovery”
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 New Product Ad Recovery loads about 518 tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 90 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). 90 words, ~518 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-amazon-new-product-ad-recovery/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- sealeap-amazon-new-product-ad-recovery
- description
- Recover an underperforming Amazon new-product advertising program by diagnosing traffic concentration, sample sufficiency, placement mix, retail readiness, and unit economics in a fixed order. Use when a new ASIN has run for days or weeks with few orders, scattered clicks, or unclear next steps. Build controlled tests and do not increase budget or change live ads without approval.
Amazon 新品广告恢复诊断
目标
用固定诊断顺序替代空泛焦虑，确定是预算被分散、样本不足、广告位不利还是商品竞争力不足。
适用任务
- 新品多个活动各点几次但没有结论。
- 精准词预算太少，长期无法形成样本。
- 查询相关但广告位或商品页转化差。
开始前要拿到
- 新品上线日期和所有广告活动、查询、目标、广告位报告。
- 预算、竞价修改史、价格、优惠、库存和 Listing 版本。
- 预估或历史 CVR、CPC、贡献利润和最大测试损失。
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
- 不能为了达到点击样本无限增加预算；累计花费止损优先。
- 第三方预估只作先验，最终以本 ASIN 数据修正。
- 若商品承接明显不合格，应暂停扩量并修产品页。
- 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. 检查流量集中度
把花费按搜索意图和词根汇总，识别预算是否碎片化；保留最相关的一至数个主题形成可判断样本。
2. 检查样本充分性
根据预期转化率、CPC 和止损计算需要的观察窗口；预算有限时延长时间，不同时扩太多目标。
3. 检查广告位
比较顶部、其余搜索位置和商品页面的 CVR、CPA 与利润，确认预算是否流向低效位置。
4. 检查商品承接
审查主图、价格、评分、配送、卖点、变体和竞品环境，确定是否值得继续购买流量。
5. 设计修复实验
每轮只改变目标集中度、竞价或商品页中的一个主要变量，保留基准和回滚线。
6. 作继续或退出决定
连续实验仍低于最低转化和利润门槛时，缩量、重做商品或退出，而不是永久烧钱。
判断标准
- 诊断按集中度、样本、位置、商品力顺序完成。
- 每个测试有预算上限和足够但不过量的样本目标。
- 最终结论允许退出。
必须交付的结果
- 新品广告故障树。
- 预算碎片化与样本分析。
- 广告位和商品页修复实验。
- 继续、返工或退出建议。
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-new-product-ad-recovery 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 New Product Ad Recovery 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 New Product Ad Recovery this skillxjli360/sealeap-amazon-skills | 251 | — | ~518 | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Dcf ModelWind-Alice/AliceMarket | 134 | 2 repos | ~12k | Automated safety check: Pass | None | |
| Analyst EstimatesOctagonAI/skills | 127 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Historical Financial RatingsOctagonAI/skills | 127 | — | ~1k | Automated safety check: Pass | MIT | |
| Ratings SnapshotOctagonAI/skills | 127 | — | ~1.1k | Automated safety check: Pass | MIT |
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Questions about Sealeap Amazon New Product Ad Recovery
What does Sealeap Amazon New Product Ad Recovery do?
Recover an underperforming Amazon new-product advertising program by diagnosing traffic concentration, sample sufficiency, placement mix, retail readiness, and unit economics in a fixed order. Sealeap Amazon New Product Ad Recovery is an agent skill from xjli360/sealeap-amazon-skills. Recover an underperforming Amazon new-product advertising program by diagnosing traffic concentration, sample sufficiency, placement mix, retail readiness, and unit economics in a fixed order.
When should I use Sealeap Amazon New Product Ad Recovery?
Sealeap Amazon New Product Ad Recovery fits situations like: A new ASIN has run for days; weeks with few orders; scattered clicks; unclear next steps.
How do I install Sealeap Amazon New Product Ad Recovery in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-new-product-ad-recovery -a claude-code`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-new-product-ad-recovery in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-amazon-new-product-ad-recovery in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Amazon New Product Ad Recovery in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-new-product-ad-recovery -a codex`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-new-product-ad-recovery in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-amazon-new-product-ad-recovery in your project. Codex loads it when a task matches its description.
Can I use Sealeap Amazon New Product Ad Recovery 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-new-product-ad-recovery -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-new-product-ad-recovery, .gemini/skills/sealeap-amazon-new-product-ad-recovery, .github/skills/sealeap-amazon-new-product-ad-recovery and .opencode/skills/sealeap-amazon-new-product-ad-recovery in your project.
What does Sealeap Amazon New Product Ad Recovery need to run?
Going by SKILL.md and its folder, Sealeap Amazon New Product Ad Recovery needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Amazon New Product Ad Recovery 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 New Product Ad Recovery 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 New Product Ad Recovery use?
Sealeap Amazon New Product Ad Recovery 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 New Product Ad Recovery use?
About 518 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 New Product Ad Recovery?
Skills that share tags, products or a category with Sealeap Amazon New Product Ad Recovery: Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Dcf Model (Wind-Alice/AliceMarket, 134 stars), Analyst Estimates (OctagonAI/skills, 127 stars) and Historical Financial Ratings (OctagonAI/skills, 127 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Amazon New Product Ad Recovery?
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.