Directory Submissions
coreyhaines31/marketingskills
When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery.
Agent skill
Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap
Create a guarded Amazon Ads launch plan that prioritizes query relevance, listing alignment, conversion evidence, and capped learning spend.
Install Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap --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/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap .claude/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap && 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-xiezhi-amazon-ad-relevance-weight-bootstrap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap into .claude/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap", 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/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrapType 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-xiezhi-amazon-ad-relevance-weight-bootstrap -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap --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/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap .agents/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap && 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-xiezhi-amazon-ad-relevance-weight-bootstrap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap into .agents/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap", 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-xiezhi-amazon-ad-relevance-weight-bootstrap -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap --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/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap .cursor/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap && 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-xiezhi-amazon-ad-relevance-weight-bootstrap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap into .cursor/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap", 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/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap--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-xiezhi-amazon-ad-relevance-weight-bootstrap -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap --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/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap .gemini/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap && 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-xiezhi-amazon-ad-relevance-weight-bootstrap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap into .gemini/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap", 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-xiezhi-amazon-ad-relevance-weight-bootstrapInstalls 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-xiezhi-amazon-ad-relevance-weight-bootstrap -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/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap .github/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap && 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-xiezhi-amazon-ad-relevance-weight-bootstrap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap into .github/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap", 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-xiezhi-amazon-ad-relevance-weight-bootstrap -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-xiezhi-amazon-ad-relevance-weight-bootstrap --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/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap .opencode/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap && 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-xiezhi-amazon-ad-relevance-weight-bootstrap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap into .opencode/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap", 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-xiezhi-amazon-ad-relevance-weight-bootstrap- GitHub stars
- 251
- Token cost
- ~546 tokens
- SKILL.md length
- 104 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Create a guarded Amazon Ads launch plan that prioritizes query relevance, listing alignment, conversion evidence, and capped learning spend.
- Works in 5 steps: 建立相关性地图 → 选择启动词 → 设置学习护栏 → …
- A new product has little history and the team wants to improve auction eligibility without assuming a hidden fixed weight score
- 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 Xiezhi Amazon Ad Relevance Weight Bootstrap is an agent skill from xjli360/sealeap-amazon-skills. Create a guarded Amazon Ads launch plan that prioritizes query relevance, listing alignment, conversion evidence, and capped learning spend. Use when a new product has little history and the team wants to improve auction eligibility without assuming a hidden fixed weight score.
Its SKILL.md is about 550 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 Product launch strategy. 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 product has little history and the team wants to improve auction eligibility without assuming a hidden fixed weight score
- Tasks that involve Product launch strategy
Example prompts
- “/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap”
Requirements
- Python 3
Workflow steps
5 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 Xiezhi Amazon Ad Relevance Weight Bootstrap loads about 546 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 104 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). 104 words, ~546 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap
- description
- Create a guarded Amazon Ads launch plan that prioritizes query relevance, listing alignment, conversion evidence, and capped learning spend. Use when a new product has little history and the team wants to improve auction eligibility without assuming a hidden fixed weight score.
Amazon 广告相关性启动
目标
用精准购物意图、页面一致性和受控学习预算积累可解释的点击与转化信号，而不是依赖未经证实的权重公式。
适用任务
- 为新品设计前几天的广告学习计划。
- 诊断相同出价但曝光差异。
- 在提高竞价前检查关键词和 Listing 相关性。
开始前要拿到
- 目标 ASIN/SKU、站点和产品事实。
- 精准词、搜索结果相关性和 Listing 字段覆盖。
- 建议竞价、广告位、预算、盈亏 CPC 与止损。
- CTR、CVR、CPC、订单和归因窗口基线。
缺少字段时列出证据缺口，并把相关结论标为 FACT、ESTIMATE、ASSUMPTION 或 UNKNOWN；不要补造数据。
不可妥协的边界
- 第三方数据均为估算或代理证据；Amazon 一方报告、后台实时字段和产品事实优先。
- 经验阈值只能作为可调起点，必须展示敏感性分析，不能写成 Amazon 官方规则。
- 不得捏造销量、搜索量、CPC、CVR、成本、认证、产品属性或消费者需求。
- 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。
- 不输出或保存素材来源身份、账号、链接、作品编号、互动数据、原始话术或其他可反查来源的线索。
- 广告写操作须在用户明确授权的对象、动作与预算范围内，并保留回退值；已有授权覆盖时不重复索取。
- 不得把经验性拍卖解释或短期相关性写成 Amazon 官方公式。
工作流
1. 建立相关性地图
将产品核心属性、对象和场景与搜索词、Listing 标题/要点和目标页面逐项对齐。
2. 选择启动词
优先购买意图明确且搜索结果高度一致的词，排除大而泛、与产品弱相关的流量。
3. 设置学习护栏
以建议竞价区间为参考制定小范围测试，预先限定日预算、累计花费、最低样本和停止条件。
4. 观察分层信号
分别看曝光、CTR、CVR、CPC、广告位和搜索词；先判断资格/相关性，再判断商品页和价格。
5. 逐步调整
一次只改变主要变量；只有转化证据支持时扩大预算或竞价，表现恶化则回退。
判断标准
- 广告排序受出价、相关性、预计效果和竞争环境共同影响；不存在可直接读取的固定单一权重分。
- 新品可进行受控学习，但不得无上限高价抢位或把前三天当作必然起量窗口。
- 盈亏 CPC = 广告前每单贡献毛利 × 订单 CVR；订单 CVR 按归因订单 / 点击，以小数代入。出价与实际 CPC 分开，并检查动态竞价和位置调整后的风险。
第三方 MCP 数据
需要外部关键词、竞品、评论或公开网页证据时，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。 - 凭证只从环境变量读取，不进入参数、URL、Skill、终端输出或 Git。
- 可能计费的
tools/call先展示 Provider、工具、无密钥参数、预计成本与输出位置，核对已有授权；仅在授权覆盖本次范围时使用--allow-cost，该标志不是费用上限。 - 脱敏结果用
--output写入 Skill 包之外的任务私有目录；不假设安装位置受仓库.gitignore保护。第三方数据标为估算或代理证据。 - 失败一次后记录缺口，不以重复付费重试掩盖不可用状态。
必须交付的结果
- 关键词—页面相关性矩阵
- 启动广告草案
- 预算与累计止损
- 学习期监控表
- 待批准最小变更集
结尾列出站点、数据窗口、证据来源、关键假设、缺口、风险、下一步和所有待批准动作。证据不足时写 HOLD，不得包装成可直接执行。
执行细节、证据字段和质量检查见 references/playbook.md。
© 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/douyin/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap 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 Xiezhi Amazon Ad Relevance Weight Bootstrap 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 Xiezhi Amazon Ad Relevance Weight Bootstrap this skillxjli360/sealeap-amazon-skills | 251 | — | ~546 | Automated safety check: Pass | MIT | |
| Directory Submissionscoreyhaines31/marketingskills | 54k | 2 repos | ~6.7k | Automated safety check: Pass | MIT | |
| Find Product Directoriesjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~4.4k | Automated safety check: Notes | MIT | |
| App Promo Materialsglifxyz/glif-mcp-server | 213 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Find PR Agencyjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~3.7k | Automated safety check: Notes | MIT | |
| Social Posterhanzili/hanzi-browse | 177 | — | ~1.2k | Automated safety check: Pass | Custom licence |
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Questions about Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap
What does Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap do?
Create a guarded Amazon Ads launch plan that prioritizes query relevance, listing alignment, conversion evidence, and capped learning spend. Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap is an agent skill from xjli360/sealeap-amazon-skills. Create a guarded Amazon Ads launch plan that prioritizes query relevance, listing alignment, conversion evidence, and capped learning spend.
When should I use Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap?
Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap fits situations like: A new product has little history and the team wants to improve auction eligibility without assuming a hidden fixed weight score; tasks that involve Product launch strategy.
How do I install Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap -a claude-code`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap -a codex`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap in your project. Codex loads it when a task matches its description.
Can I use Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap 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-xiezhi-amazon-ad-relevance-weight-bootstrap -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-xiezhi-amazon-ad-relevance-weight-bootstrap, .gemini/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap, .github/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap and .opencode/skills/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap in your project.
What does Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap need to run?
Going by SKILL.md and its folder, Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap 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 Xiezhi Amazon Ad Relevance Weight Bootstrap 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 Xiezhi Amazon Ad Relevance Weight Bootstrap use?
Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap 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 Xiezhi Amazon Ad Relevance Weight Bootstrap use?
About 546 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 2.3k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap?
Skills that share tags, products or a category with Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap: Directory Submissions (coreyhaines31/marketingskills, 54k stars), Find Product Directories (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), App Promo Materials (glifxyz/glif-mcp-server, 213 stars) and Find PR Agency (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Xiezhi Amazon Ad Relevance Weight Bootstrap?
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.