Feature Launch Playbook
rampstackco/claude-skills
The operational playbook for launching a feature well. An agent skill from rampstackco/claude-skills.
Create a quantified Amazon new-product launch plan by translating a sales target into comparable-product benchmarks, keyword economics, budget scenarios, milestones, and stop-loss rules.
Install Sealeap Amazon New Product Launch Plan
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-new-product-launch-plan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-new-product-launch-plan --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-launch-plan .claude/skills/sealeap-amazon-new-product-launch-plan && 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-launch-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-launch-plan into .claude/skills/sealeap-amazon-new-product-launch-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-launch-plan", 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-launch-planType 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-launch-plan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-new-product-launch-plan --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-launch-plan .agents/skills/sealeap-amazon-new-product-launch-plan && 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-launch-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-launch-plan into .agents/skills/sealeap-amazon-new-product-launch-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-launch-plan", 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-launch-plan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-new-product-launch-plan --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-launch-plan .cursor/skills/sealeap-amazon-new-product-launch-plan && 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-launch-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-launch-plan into .cursor/skills/sealeap-amazon-new-product-launch-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-launch-plan", 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-launch-plan--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-launch-plan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-new-product-launch-plan --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-launch-plan .gemini/skills/sealeap-amazon-new-product-launch-plan && 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-launch-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-launch-plan into .gemini/skills/sealeap-amazon-new-product-launch-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-launch-plan", 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-launch-planInstalls 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-launch-plan -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-launch-plan .github/skills/sealeap-amazon-new-product-launch-plan && 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-launch-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-launch-plan into .github/skills/sealeap-amazon-new-product-launch-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-launch-plan", 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-launch-plan -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-launch-plan --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-launch-plan .opencode/skills/sealeap-amazon-new-product-launch-plan && 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-launch-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-new-product-launch-plan into .opencode/skills/sealeap-amazon-new-product-launch-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-new-product-launch-plan", 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-launch-plan- GitHub stars
- 251
- Token cost
- ~548 tokens
- SKILL.md length
- 100 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Create a quantified Amazon new-product launch plan by translating a sales target into comparable-product benchmarks, keyword economics, budget scenarios, milestones, and stop-loss rules.
- Works in 6 steps: 定义商业目标 → 建立可比组 → 拆解需求结构 → …
- The user asks for a 新品推广计划
- 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 Launch Plan is an agent skill from xjli360/sealeap-amazon-skills. Create a quantified Amazon new-product launch plan by translating a sales target into comparable-product benchmarks, keyword economics, budget scenarios, milestones, and stop-loss rules. Use when the user asks for a 新品推广计划, target-order reverse planning, competitor-based launch budget, or GO/NO-GO assessment before launch. Keep competitor estimates labeled and do not execute campaigns without approval.
Its SKILL.md is about 550 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 Product launch strategy, Feature launches and release readiness and Translation. 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 for a 新品推广计划
- Target-order reverse planning
- Competitor-based launch budget
- GO/NO-GO assessment before launch
Example prompts
- “/sealeap-amazon-new-product-launch-plan”
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 Launch Plan loads about 548 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 111 tokens; SKILL.md has 100 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). 100 words, ~548 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-amazon-new-product-launch-plan/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-launch-plan
- description
- Create a quantified Amazon new-product launch plan by translating a sales target into comparable-product benchmarks, keyword economics, budget scenarios, milestones, and stop-loss rules. Use when the user asks for a 新品推广计划, target-order reverse planning, competitor-based launch budget, or GO/NO-GO assessment before launch. Keep competitor estimates labeled and do not execute campaigns without approval.
Amazon 新品推广成本倒推
目标
从目标销量反推需要争取的流量、关键词订单、广告成本和现金需求，在上架前判断项目是否值得推进。
适用任务
- 为目标日单量或月销量制定推广预算。
- 选择可比竞品并拆解其可能的流量和关键词结构。
- 在预算、利润和成功概率之间形成 GO、CONDITIONAL GO 或 NO-GO。
开始前要拿到
- 目标销量、售价、贡献毛利、库存、补货周期和最长验证期。
- 多个可比竞品的产品规格、价格、历史表现和可追溯流量代理数据。
- 关键词 CPC、预估转化率、订单贡献、自然与广告位置快照。
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
- 竞品销量、广告单占比和转化率通常是估算值，不能写成已知事实。
- 不得把竞品可疑评论或灰色操作转成自己的执行方案。
- 不承诺在固定天数、固定订单量后进入首页；排名只作为情景变量。
- 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. 定义商业目标
把目标销量转换为收入、贡献利润、库存周转和类目位置的情景，不把类目排名当成唯一成功标准。
2. 建立可比组
选择多款规格、价格、受众和生命周期接近的产品，避免用单一竞品代表市场。
3. 拆解需求结构
估算自然与广告订单区间、主要查询的订单贡献和可见位置，并为每项标注来源与置信度。
4. 计算关键词经济性
使用 CPA 约等于 CPC 除以转化率，进一步计算每个词的盈亏平衡 CPC、所需点击、预算区间和利润敏感性。
5. 形成阶段计划
按准备、验证、扩大和收敛阶段列出目标词、预算、数据门槛、库存条件和复盘节点。
6. 做压力测试
至少模拟基准、转化下降、CPC 上升和补货延迟情景，给出资金峰值与停止条件。
判断标准
- 所有货币单位、税费、Amazon 费用和时间窗口一致。
- 计划能追溯到具体关键词或商品目标，而不是只给总预算。
- 最坏情景不突破现金和库存护栏。
必须交付的结果
- 目标与可比竞品表。
- 关键词级 CPA 和预算模型。
- 阶段里程碑、止损线和现金需求。
- GO、CONDITIONAL GO 或 NO-GO 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-new-product-launch-plan 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 Launch Plan 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 Launch Plan this skillxjli360/sealeap-amazon-skills | 251 | — | ~548 | Automated safety check: Pass | MIT | |
| Feature Launch Playbookrampstackco/claude-skills | 945 | — | ~6.6k | Automated safety check: Pass | MIT | |
| Jira Natural Language Interfacejjmartres/opencode | 133 | 3 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Verify Spectrejoenandez/spectre | 164 | — | ~1.5k | 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 |
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Questions about Sealeap Amazon New Product Launch Plan
What does Sealeap Amazon New Product Launch Plan do?
Create a quantified Amazon new-product launch plan by translating a sales target into comparable-product benchmarks, keyword economics, budget scenarios, milestones, and stop-loss rules. Sealeap Amazon New Product Launch Plan is an agent skill from xjli360/sealeap-amazon-skills. Create a quantified Amazon new-product launch plan by translating a sales target into comparable-product benchmarks, keyword economics, budget scenarios, milestones, and stop-loss rules.
When should I use Sealeap Amazon New Product Launch Plan?
Sealeap Amazon New Product Launch Plan fits situations like: the user asks for a 新品推广计划; target-order reverse planning; competitor-based launch budget; GO/NO-GO assessment before launch.
How do I install Sealeap Amazon New Product Launch Plan in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-new-product-launch-plan -a claude-code`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-new-product-launch-plan in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-amazon-new-product-launch-plan in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Amazon New Product Launch Plan in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-new-product-launch-plan -a codex`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-new-product-launch-plan in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-amazon-new-product-launch-plan in your project. Codex loads it when a task matches its description.
Can I use Sealeap Amazon New Product Launch Plan 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-launch-plan -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-launch-plan, .gemini/skills/sealeap-amazon-new-product-launch-plan, .github/skills/sealeap-amazon-new-product-launch-plan and .opencode/skills/sealeap-amazon-new-product-launch-plan in your project.
What does Sealeap Amazon New Product Launch Plan need to run?
Going by SKILL.md and its folder, Sealeap Amazon New Product Launch Plan needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Amazon New Product Launch Plan 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 Launch Plan 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 Launch Plan use?
Sealeap Amazon New Product Launch Plan 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 Launch Plan use?
About 548 tokens (SKILL.md is roughly 2.2k 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 Launch Plan?
Skills that share tags, products or a category with Sealeap Amazon New Product Launch Plan: Feature Launch Playbook (rampstackco/claude-skills, 945 stars), Jira Natural Language Interface (jjmartres/opencode, 133 stars), Verify Spectre (joenandez/spectre, 164 stars) and Pre Release Test (herald-email/herald-mail-app, 146 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 Launch Plan?
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.