FLOW SEO Framework
AgriciDaniel/claude-seo
Brings the FLOW framework's stage-specific SEO prompts into the agent, from keyword discovery through backlinks, on-page work and conversion to local SEO, loaded on demand.
Agent skill
Sealeap Bifang Amazon New Product Ad Conversion First
Plan and review the launch-phase advertising of a small seller's new Amazon product by starting from a short list of exact-match long-tail terms, treating automatic campaigns only as low-bid…
Install Sealeap Bifang Amazon New Product Ad Conversion First
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bifang-amazon-new-product-ad-conversion-first -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bifang-amazon-new-product-ad-conversion-first --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/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first .claude/skills/sealeap-bifang-amazon-new-product-ad-conversion-first && 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-bifang-amazon-new-product-ad-conversion-first" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first into .claude/skills/sealeap-bifang-amazon-new-product-ad-conversion-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-new-product-ad-conversion-first", 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/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-firstType 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-bifang-amazon-new-product-ad-conversion-first -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bifang-amazon-new-product-ad-conversion-first --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/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first .agents/skills/sealeap-bifang-amazon-new-product-ad-conversion-first && 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-bifang-amazon-new-product-ad-conversion-first" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first into .agents/skills/sealeap-bifang-amazon-new-product-ad-conversion-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-new-product-ad-conversion-first", 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-bifang-amazon-new-product-ad-conversion-first -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bifang-amazon-new-product-ad-conversion-first --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/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first .cursor/skills/sealeap-bifang-amazon-new-product-ad-conversion-first && 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-bifang-amazon-new-product-ad-conversion-first" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first into .cursor/skills/sealeap-bifang-amazon-new-product-ad-conversion-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-new-product-ad-conversion-first", 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/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first--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-bifang-amazon-new-product-ad-conversion-first -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bifang-amazon-new-product-ad-conversion-first --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/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first .gemini/skills/sealeap-bifang-amazon-new-product-ad-conversion-first && 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-bifang-amazon-new-product-ad-conversion-first" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first into .gemini/skills/sealeap-bifang-amazon-new-product-ad-conversion-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-new-product-ad-conversion-first", 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-bifang-amazon-new-product-ad-conversion-firstInstalls 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-bifang-amazon-new-product-ad-conversion-first -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/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first .github/skills/sealeap-bifang-amazon-new-product-ad-conversion-first && 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-bifang-amazon-new-product-ad-conversion-first" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first into .github/skills/sealeap-bifang-amazon-new-product-ad-conversion-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-new-product-ad-conversion-first", 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-bifang-amazon-new-product-ad-conversion-first -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-bifang-amazon-new-product-ad-conversion-first --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/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first .opencode/skills/sealeap-bifang-amazon-new-product-ad-conversion-first && 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-bifang-amazon-new-product-ad-conversion-first" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first into .opencode/skills/sealeap-bifang-amazon-new-product-ad-conversion-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-new-product-ad-conversion-first", 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-bifang-amazon-new-product-ad-conversion-first- GitHub stars
- 251
- Token cost
- ~867 tokens
- SKILL.md length
- 177 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Plan and review the launch-phase advertising of a small seller's new Amazon product by starting from a short list of exact-match long-tail terms, treating automatic campaigns only as low-bid…
- Works in 4 steps: 诊断：读取现状、证据和缺口，不生成线上写入动作。 → 方案草案：输出可审核的结构、参数范围、实验和回退值。 → 执行准备：只生成待批准变更表或 API/控制台操作草案。 → …
- 新品广告怎么开、新品转化率低、新品 ACOS 高正常吗、自动广告还是手动广告、新品否词、老品带新品
- SKILL.md covers 目标, 不可妥协的边界, 先判断任务模式 and 开始前要拿到, plus 3 more sections
- Runs Python scripts from its folder
What it does
Sealeap Bifang Amazon New Product Ad Conversion First is an agent skill from xjli360/sealeap-amazon-skills. Plan and review the launch-phase advertising of a small seller's new Amazon product by starting from a short list of exact-match long-tail terms, treating automatic campaigns only as low-bid discovery, judging each term by click-through and conversion rate rather than ACOS or TACOS, and layering coupons, deals and old-to-new bundles once the product and listing pass a readiness check. Use for 新品广告怎么开、新品转化率低、新品 ACOS 高正常吗、自动广告还是手动广告、新品否词、老品带新品. Do not use to launch or change live campaigns without an approved…
Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `references/playbook.md`).
It sits in Marketing & SEO, covering Conversion rate optimization. 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
- 新品广告怎么开、新品转化率低、新品 ACOS 高正常吗、自动广告还是手动广告、新品否词、老品带新品
- Change live campaigns without an approved change table
- Compensate for a product
- Listing that has not passed readiness review
Example prompts
- “/sealeap-bifang-amazon-new-product-ad-conversion-first”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 诊断：读取现状、证据和缺口，不生成线上写入动作。
- 方案草案：输出可审核的结构、参数范围、实验和回退值。
- 执行准备：只生成待批准变更表或 API/控制台操作草案。
- 已批准执行：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。
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 Bifang Amazon New Product Ad Conversion First loads about 867 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 165 tokens; SKILL.md has 177 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). 177 words, ~867 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-bifang-amazon-new-product-ad-conversion-first/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-bifang-amazon-new-product-ad-conversion-first
- description
- Plan and review the launch-phase advertising of a small seller's new Amazon product by starting from a short list of exact-match long-tail terms, treating automatic campaigns only as low-bid discovery, judging each term by click-through and conversion rate rather than ACOS or TACOS, and layering coupons, deals and old-to-new bundles once the product and listing pass a readiness check. Use for 新品广告怎么开、新品转化率低、新品 ACOS 高正常吗、自动广告还是手动广告、新品否词、老品带新品. Do not use to launch or change live campaigns without an approved change table, or to compensate for a product or listing that has not passed readiness review.
Amazon 新品期广告转化优先策略
目标
Plan and review the launch-phase advertising of a small seller's new Amazon product by starting from a short list of exact-match long-tail terms, treating automatic campaigns only as low-bid discovery, judging each term by click-through and conversion rate rather than ACOS or TACOS, and layering coupons, deals and old-to-new bundles once the product and listing pass a readiness check.
不可妥协的边界
- 当前 Amazon 官方政策、账户资格、站点字段和一方数据优先于本 Skill 的经验框架。
- 第三方数据一律标为估算或前台观测，不得写成 Amazon 一方事实。
- 默认只读诊断和草案；任何广告、Listing、库存、促销或外部系统写操作都需逐项展示并取得明确批准。
- 一次实验只改变一个主要变量，并记录基线、样本、成功、停止和回退条件。
- 不得复制来源材料或竞品表达；输出必须按当前任务重新组织并可由现有证据支撑。
- “少词精准起步、自动广告只做捡漏”是来源对中小卖家的经验策略；不同类目与预算下自动广告的价值不同，以当前账户报告校准。
- 来源解释“多次点击不出单会拉低广告组权重”“词权重上升后建议竞价自然下降”，均为平台算法推断，作为待验证假设，只用账户内前后对比观测。
- “站外折扣比站内 PPC 更划算并对新品链接有额外好处”是来源观点；用同口径成本与归因数据验证，不预设。
- 任何借站外链接直接拉动关键词权重、或以促销换取评论的做法不采用；促销仅用于获取真实销售。
先判断任务模式
- 诊断：读取现状、证据和缺口，不生成线上写入动作。
- 方案草案：输出可审核的结构、参数范围、实验和回退值。
- 执行准备：只生成待批准变更表或 API/控制台操作草案。
- 已批准执行：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。
用户未指定时采用“诊断”。
开始前要拿到
- marketplace、店铺、ASIN/SKU、广告类型和目标
- 同口径的 Campaign、Targeting、Search Term、Placement 与 Advertised Product 报告
- 售价、优惠、COGS、Amazon 费用、退款与目标贡献利润
- 库存、Buy Box、Listing、评论和同期市场事件
缺失项必须标为 NEEDS_EVIDENCE；不得猜数字、补属性或把不同站点、ASIN、变体、币种和时间窗混在一起。
工作流
先读取 references/playbook.md，确认该方法适用于当前对象。按以下顺序执行：
- 准入检查：核对产品事实、主图、标题、五点、价格与同购买意图竞品的差距；任何一项明显落后先修正再投放，广告不用于弥补产品或页面缺陷。
- 起步结构：从关键词清单中挑少数与产品高度相关、有转化记录的长尾词，只用手动精准匹配起步；同时上架多个新品时明确主推与非主推链接，预算向主推倾斜；每个词的起始竞价与预算写入变更表。
- 自动广告定位：以低于手动的竞价开启自动广告只做捡漏与拓词；自动广告出现有转化的搜索词后，把它移入手动精准并在自动里加否定；自动广告不承担主要预算。
- 判定指标：新品期自然流量少，ACOS 与 TACOS 接近属预期，不以两者作为停止依据；逐词看点击率与转化率——点击率差指向主图/标题/价格在搜索结果页的吸引力，转化率差指向价格、评论、页面详情或产品本身；每个词累计足够点击后再判定，样本不足标 NEEDS_EVIDENCE。
- 否词节奏：新品期否词要慎重，只否定多次点击且与产品事实明显不符的词；对相关但暂未转化的词先降竞价观察，累计点击充足仍无转化且页面无可改点时暂停该词而不是直接否定。
- 补流量：在利润允许范围内叠加优惠券、会员专享折扣或站外促销，把折扣成本与 PPC 成本放在同一口径下比较；预算紧张时可先不开广泛/词组匹配，把预算留给精准投放与促销。
- 老带新与扩词：有在售老品时设计组合促销（买老品享新品折扣等）并记录归因；扩词条件是现有词的排名与转化稳定后再逐步增加，每次只加少量词并保留回退。
最后做数据充分性检查，并把结论分成 FACT / ESTIMATE / HYPOTHESIS / UNKNOWN。若关键证据不足，状态写 HOLD。
第三方 MCP 数据
仅在自有数据不足且当前任务确实需要外部证据时，读取 references/mcp-data-plan.md，再使用 scripts/mcp_research.py。本 Skill 的外部取数目的：补充同购买意图竞品的关键词、价格与评论代理证据。
- 先
doctor，再search-tools和describe；工具名及参数以实时tools/list与inputSchema为准。 - Token 只从环境变量读取。不得写入命令参数、URL、Skill、报告、日志或 Git。
tools/call或 Actor 可能计费；先展示 Provider、工具、无密钥业务参数、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。
必须交付的结果
- 新品准入检查表
- 起步广告结构与变更表（词、匹配、竞价、预算、主推/非主推）
- 逐词点击率/转化率判定记录与否词理由
- 促销与老带新组合方案（含成本口径）
- 扩词条件与回退记录
- 数据范围、来源、采集时间、样本与限制。
- 关键假设、待补证据、风险和不可确定项。
- 若有动作：对象、旧值、新值、预期、停止条件、回退值与审批状态。
方案状态使用 READY FOR REVIEW / DRAFT / HOLD / STOP；如已执行，另行记录实际结果及回读证据。未得到明确批准时，不得声称已修改线上对象。
© 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 4 other files (scripts, references) in amazon-skills/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first of xjli360/sealeap-amazon-skills.
- SKILL.md
- agents/openai.yaml
- references/mcp-data-plan.md
- references/playbook.md
- scripts/mcp_research.py
Open the folder on GitHubat commit 497d4b8
Compare with similar skills
Sealeap Bifang Amazon New Product Ad Conversion First 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 Bifang Amazon New Product Ad Conversion First this skillxjli360/sealeap-amazon-skills | 251 | — | ~867 | Automated safety check: Pass | MIT | |
| FLOW SEO FrameworkAgriciDaniel/claude-seo | 19k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Paywallscoreyhaines31/marketingskills | 54k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
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Questions about Sealeap Bifang Amazon New Product Ad Conversion First
What does Sealeap Bifang Amazon New Product Ad Conversion First do?
Plan and review the launch-phase advertising of a small seller's new Amazon product by starting from a short list of exact-match long-tail terms, treating automatic campaigns only as low-bid…. Sealeap Bifang Amazon New Product Ad Conversion First is an agent skill from xjli360/sealeap-amazon-skills. Plan and review the launch-phase advertising of a small seller's new Amazon product by starting from a short list of exact-match long-tail terms, treating automatic campaigns only as low-bid discovery, judging each term by click-through and conversion rate rather than ACOS or TACOS, and layering coupons, deals and old-to-new bundles once the product and listing pass a readiness check.
When should I use Sealeap Bifang Amazon New Product Ad Conversion First?
Sealeap Bifang Amazon New Product Ad Conversion First fits situations like: 新品广告怎么开、新品转化率低、新品 ACOS 高正常吗、自动广告还是手动广告、新品否词、老品带新品; change live campaigns without an approved change table; compensate for a product; listing that has not passed readiness review.
How do I install Sealeap Bifang Amazon New Product Ad Conversion First in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bifang-amazon-new-product-ad-conversion-first -a claude-code`. Or copy the skill folder (amazon-skills/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-bifang-amazon-new-product-ad-conversion-first in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Bifang Amazon New Product Ad Conversion First in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bifang-amazon-new-product-ad-conversion-first -a codex`. Or copy the skill folder (amazon-skills/bilibili/bifang/sealeap-bifang-amazon-new-product-ad-conversion-first in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-bifang-amazon-new-product-ad-conversion-first in your project. Codex loads it when a task matches its description.
Can I use Sealeap Bifang Amazon New Product Ad Conversion First 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-bifang-amazon-new-product-ad-conversion-first -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-bifang-amazon-new-product-ad-conversion-first, .gemini/skills/sealeap-bifang-amazon-new-product-ad-conversion-first, .github/skills/sealeap-bifang-amazon-new-product-ad-conversion-first and .opencode/skills/sealeap-bifang-amazon-new-product-ad-conversion-first in your project.
What does Sealeap Bifang Amazon New Product Ad Conversion First need to run?
Going by SKILL.md and its folder, Sealeap Bifang Amazon New Product Ad Conversion First needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Bifang Amazon New Product Ad Conversion First 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 Bifang Amazon New Product Ad Conversion First 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 Bifang Amazon New Product Ad Conversion First use?
Sealeap Bifang Amazon New Product Ad Conversion First 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 Bifang Amazon New Product Ad Conversion First use?
About 867 tokens (SKILL.md is roughly 3.5k 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 2.6k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Bifang Amazon New Product Ad Conversion First?
Skills that share tags, products or a category with Sealeap Bifang Amazon New Product Ad Conversion First: FLOW SEO Framework (AgriciDaniel/claude-seo, 19k stars), Paywalls (coreyhaines31/marketingskills, 54k stars), Onboarding Cro (freekmurze/dotfiles, 1k stars) and Paywall Upgrade Cro (freekmurze/dotfiles, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Bifang Amazon New Product Ad Conversion First?
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.