Evaluate Skill
every-app/open-seo
Test a candidate OpenSEO skill end to end by running fresh, isolated Codex sessions against the local backend and scoring the reports they save.
Agent skill
Sealeap Taotie Amazon Keyword Demand Seasonality Reading
Read keyword-research tool output correctly: prefer multi-month search and purchase-rate history over last-month snapshots, interpret search-result counts as a loose competition proxy, spot head…
Install Sealeap Taotie Amazon Keyword Demand Seasonality Reading
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-taotie-amazon-keyword-demand-seasonality-reading -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taotie-amazon-keyword-demand-seasonality-reading --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/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading .claude/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading && 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-taotie-amazon-keyword-demand-seasonality-reading" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading into .claude/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-keyword-demand-seasonality-reading", 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/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-readingType 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-taotie-amazon-keyword-demand-seasonality-reading -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taotie-amazon-keyword-demand-seasonality-reading --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/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading .agents/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading && 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-taotie-amazon-keyword-demand-seasonality-reading" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading into .agents/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-keyword-demand-seasonality-reading", 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-taotie-amazon-keyword-demand-seasonality-reading -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taotie-amazon-keyword-demand-seasonality-reading --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/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading .cursor/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading && 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-taotie-amazon-keyword-demand-seasonality-reading" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading into .cursor/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-keyword-demand-seasonality-reading", 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/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading--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-taotie-amazon-keyword-demand-seasonality-reading -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-taotie-amazon-keyword-demand-seasonality-reading --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/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading .gemini/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading && 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-taotie-amazon-keyword-demand-seasonality-reading" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading into .gemini/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-keyword-demand-seasonality-reading", 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-taotie-amazon-keyword-demand-seasonality-readingInstalls 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-taotie-amazon-keyword-demand-seasonality-reading -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/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading .github/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading && 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-taotie-amazon-keyword-demand-seasonality-reading" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading into .github/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-keyword-demand-seasonality-reading", 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-taotie-amazon-keyword-demand-seasonality-reading -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-taotie-amazon-keyword-demand-seasonality-reading --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/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading .opencode/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading && 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-taotie-amazon-keyword-demand-seasonality-reading" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading into .opencode/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-taotie-amazon-keyword-demand-seasonality-reading", 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-taotie-amazon-keyword-demand-seasonality-reading- GitHub stars
- 251
- Token cost
- ~785 tokens
- SKILL.md length
- 162 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Read keyword-research tool output correctly: prefer multi-month search and purchase-rate history over last-month snapshots, interpret search-result counts as a loose competition proxy, spot head…
- 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。 → …
- 关键词搜索量准不准、月搜索量怎么算、旺季月份怎么看、购买率是什么、大词转化低正常吗、搜索结果数代表竞争吗、高频词怎么用、季节品什么时候定
- 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 Taotie Amazon Keyword Demand Seasonality Reading is an agent skill from xjli360/sealeap-amazon-skills. Read keyword-research tool output correctly: prefer multi-month search and purchase-rate history over last-month snapshots, interpret search-result counts as a loose competition proxy, spot head terms with low conversion, extract high-frequency modifiers for listing and selling points, and time seasonal product decisions by lead time to the peak. Use for 关键词搜索量准不准、月搜索量怎么算、旺季月份怎么看、购买率是什么、大词转化低正常吗、搜索结果数代表竞争吗、高频词怎么用、季节品什么时候定. Do not use to claim exact search volumes as facts or to select bids from tool data alone.
Its SKILL.md is about 790 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 Keyword research and Forecasting and time series. 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
- 关键词搜索量准不准、月搜索量怎么算、旺季月份怎么看、购买率是什么、大词转化低正常吗、搜索结果数代表竞争吗、高频词怎么用、季节品什么时候定
- Claim exact search volumes as facts
- Select bids from tool data alone
Example prompts
- “/sealeap-taotie-amazon-keyword-demand-seasonality-reading”
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 Taotie Amazon Keyword Demand Seasonality Reading loads about 785 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 143 tokens; SKILL.md has 162 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). 162 words, ~785 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-taotie-amazon-keyword-demand-seasonality-reading
- description
- Read keyword-research tool output correctly: prefer multi-month search and purchase-rate history over last-month snapshots, interpret search-result counts as a loose competition proxy, spot head terms with low conversion, extract high-frequency modifiers for listing and selling points, and time seasonal product decisions by lead time to the peak. Use for 关键词搜索量准不准、月搜索量怎么算、旺季月份怎么看、购买率是什么、大词转化低正常吗、搜索结果数代表竞争吗、高频词怎么用、季节品什么时候定. Do not use to claim exact search volumes as facts or to select bids from tool data alone.
Amazon 关键词需求与季节性判读
目标
Read keyword-research tool output correctly: prefer multi-month search and purchase-rate history over last-month snapshots, interpret search-result counts as a loose competition proxy, spot head terms with low conversion, extract high-frequency modifiers for listing and selling points, and time seasonal product decisions by lead time to the peak.
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。
- 购买率、搜索量、搜索结果数均为第三方估算且可能存在计算错误（来源发现过购买率显示与计算不一致），任何结论都要标 ESTIMATE 并可回指来源工具。
- 「大词转化低、卖家转投长尾」是来源对趋势变化的解释，属待验证假设，用本账户搜索词报告验证。
- 旺季月份与转化最好的月份因类目不同，来源举例的月份与增长率不作规律。
- 来源的工具推荐与团购信息不采纳；本 Skill 只描述工具类别与数据口径。
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、产品事实、ASIN/SKU 与目标购买意图
- 本品和可比竞品的关键词、自然位置、广告可见度与采样时间
- 搜索词报告、转化、CPC、订单、利润和 Listing 当前覆盖
- 站点语言、变体、价格、库存与同期促销记录
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：
- 拉取候选关键词列表时不按匹配类型预筛，先全量导出再离线筛选；记录工具的搜索量口径（例如翻页计入多次搜索）与数据月份，标注为 ESTIMATE。
- 用历史趋势替代上月快照：看近一到两年的逐月搜索量与购买率曲线，找出需求最高的月份与转化最好的月份（两者常不同：大促月搜索高但转化未必高），并对比不同年份同月是否结构性下滑。
- 识别大词：搜索量很大但购买率极低的主词通常不适合作精准投放或排名主攻，把预算优先给购买率高的长尾词；这一判断要用本账户广告数据复核。
- 把搜索结果数只当作竞争度的粗指标：它与前台实际结果因配送地区、类目筛选而不同，同时看头部 Listing 的评论与价格才能判断进入难度。
- 从高频词中提取修饰维度（性别、尺码、颜色、款式、材质）：用于 Search Terms 去重布局与卖点排序，只选与本品实际匹配的词，不堆砌。
- 季节品倒推时间表：从旺季首月减去采购、头程与入库时间得到最晚决策日期；错过则改为准备下一季，不在旺季中途仓促入场。
- 多工具校准：同一词在不同工具的搜索量可能相差数倍（来源观察到不同来源的工具相差约一半量级），并列保留各家口径，用平台一方数据或公开搜索趋势核对方向，不取无依据的平均值。
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：获取关键词逐月搜索量、购买率、搜索结果数与高频词的第三方代理证据。
- 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
- 关键词数据口径记录
- 历史趋势与旺季判读表
- 大词/长尾词分层清单
- 高频词修饰维度表
- 季节品决策时间表
- 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/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading 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 Taotie Amazon Keyword Demand Seasonality Reading 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 Taotie Amazon Keyword Demand Seasonality Reading this skillxjli360/sealeap-amazon-skills | 251 | — | ~785 | Automated safety check: Pass | MIT | |
| Evaluate Skillevery-app/open-seo | 23k | — | ~1.8k | Automated safety check: Notes | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Competitor GapRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~560 | Automated safety check: Pass | MIT | |
| 90 Day SEO SprintBomx/distribb-skill | 197 | — | ~3.6k | Automated safety check: Pass | None | |
| Keyword ResearchRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~581 | Automated safety check: Pass | MIT |
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Find keywords a competitor ranks for that the user's site doesn't — the content gap, prioritized by volume and winnability.
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DataForSEO Live SEO Data
AgriciDaniel/claude-seo
Pulls live SERP results, keyword metrics, backlink profiles and AI visibility data through the DataForSEO MCP server, with a cost check before each call.
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Questions about Sealeap Taotie Amazon Keyword Demand Seasonality Reading
What does Sealeap Taotie Amazon Keyword Demand Seasonality Reading do?
Read keyword-research tool output correctly: prefer multi-month search and purchase-rate history over last-month snapshots, interpret search-result counts as a loose competition proxy, spot head…. Sealeap Taotie Amazon Keyword Demand Seasonality Reading is an agent skill from xjli360/sealeap-amazon-skills. Read keyword-research tool output correctly: prefer multi-month search and purchase-rate history over last-month snapshots, interpret search-result counts as a loose competition proxy, spot head terms with low conversion, extract high-frequency modifiers for listing and selling points, and time seasonal product decisions by lead time to the peak.
When should I use Sealeap Taotie Amazon Keyword Demand Seasonality Reading?
Sealeap Taotie Amazon Keyword Demand Seasonality Reading fits situations like: 关键词搜索量准不准、月搜索量怎么算、旺季月份怎么看、购买率是什么、大词转化低正常吗、搜索结果数代表竞争吗、高频词怎么用、季节品什么时候定; claim exact search volumes as facts; select bids from tool data alone.
How do I install Sealeap Taotie Amazon Keyword Demand Seasonality Reading in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-taotie-amazon-keyword-demand-seasonality-reading -a claude-code`. Or copy the skill folder (amazon-skills/bilibili/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Taotie Amazon Keyword Demand Seasonality Reading in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-taotie-amazon-keyword-demand-seasonality-reading -a codex`. Or copy the skill folder (amazon-skills/bilibili/taotie/sealeap-taotie-amazon-keyword-demand-seasonality-reading in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading in your project. Codex loads it when a task matches its description.
Can I use Sealeap Taotie Amazon Keyword Demand Seasonality Reading 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-taotie-amazon-keyword-demand-seasonality-reading -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-taotie-amazon-keyword-demand-seasonality-reading, .gemini/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading, .github/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading and .opencode/skills/sealeap-taotie-amazon-keyword-demand-seasonality-reading in your project.
What does Sealeap Taotie Amazon Keyword Demand Seasonality Reading need to run?
Going by SKILL.md and its folder, Sealeap Taotie Amazon Keyword Demand Seasonality Reading needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Taotie Amazon Keyword Demand Seasonality Reading 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 Taotie Amazon Keyword Demand Seasonality Reading 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 Taotie Amazon Keyword Demand Seasonality Reading use?
Sealeap Taotie Amazon Keyword Demand Seasonality Reading 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 Taotie Amazon Keyword Demand Seasonality Reading use?
About 785 tokens (SKILL.md is roughly 3.1k 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 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Taotie Amazon Keyword Demand Seasonality Reading?
Skills that share tags, products or a category with Sealeap Taotie Amazon Keyword Demand Seasonality Reading: Evaluate Skill (every-app/open-seo, 23k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), Competitor Gap (Ryze-AI-Adgent/open-seo-mcp-skills, 4.7k stars) and 90 Day SEO Sprint (Bomx/distribb-skill, 197 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Taotie Amazon Keyword Demand Seasonality Reading?
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.