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 Bixie Amazon Seasonal Demand Cycle Timing
Distinguish genuine seasonal products from short-lived trends using multi-year search-volume cycles, BSR swings, and competitor price patterns, then map the confirmed cycle into staging, growth…
Install Sealeap Bixie Amazon Seasonal Demand Cycle Timing
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-seasonal-demand-cycle-timing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-seasonal-demand-cycle-timing --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/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing .claude/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing && 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-bixie-amazon-seasonal-demand-cycle-timing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing into .claude/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-seasonal-demand-cycle-timing", 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/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timingType 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-bixie-amazon-seasonal-demand-cycle-timing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-seasonal-demand-cycle-timing --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/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing .agents/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing && 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-bixie-amazon-seasonal-demand-cycle-timing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing into .agents/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-seasonal-demand-cycle-timing", 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-bixie-amazon-seasonal-demand-cycle-timing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-seasonal-demand-cycle-timing --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/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing .cursor/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing && 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-bixie-amazon-seasonal-demand-cycle-timing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing into .cursor/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-seasonal-demand-cycle-timing", 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/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing--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-bixie-amazon-seasonal-demand-cycle-timing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-seasonal-demand-cycle-timing --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/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing .gemini/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing && 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-bixie-amazon-seasonal-demand-cycle-timing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing into .gemini/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-seasonal-demand-cycle-timing", 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-bixie-amazon-seasonal-demand-cycle-timingInstalls 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-bixie-amazon-seasonal-demand-cycle-timing -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/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing .github/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing && 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-bixie-amazon-seasonal-demand-cycle-timing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing into .github/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-seasonal-demand-cycle-timing", 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-bixie-amazon-seasonal-demand-cycle-timing -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-bixie-amazon-seasonal-demand-cycle-timing --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/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing .opencode/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing && 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-bixie-amazon-seasonal-demand-cycle-timing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing into .opencode/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-seasonal-demand-cycle-timing", 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-bixie-amazon-seasonal-demand-cycle-timing- GitHub stars
- 251
- Token cost
- ~721 tokens
- SKILL.md length
- 147 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Distinguish genuine seasonal products from short-lived trends using multi-year search-volume cycles, BSR swings, and competitor price patterns, then map the confirmed cycle into staging, growth…
- 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。 → …
- Tied to declining-demand evidence rather than a fixed calendar date
- 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 Bixie Amazon Seasonal Demand Cycle Timing is an agent skill from xjli360/sealeap-amazon-skills. Distinguish genuine seasonal products from short-lived trends using multi-year search-volume cycles, BSR swings, and competitor price patterns, then map the confirmed cycle into staging, growth, peak, and clearance phases. Provides stop and clearance triggers tied to declining-demand evidence rather than a fixed calendar date. Use for 判断是不是季节性产品、季节性产品备货节奏、旺季衰退信号识别、清仓时机判断. Do not use for routine evergreen-product selection, or to conclude seasonality from a single month of data.
Its SKILL.md is about 720 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
- Tied to declining-demand evidence rather than a fixed calendar date
- 判断是不是季节性产品、季节性产品备货节奏、旺季衰退信号识别、清仓时机判断
- Routine evergreen-product selection
- Conclude seasonality from a single month of data
Example prompts
- “/sealeap-bixie-amazon-seasonal-demand-cycle-timing”
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 Bixie Amazon Seasonal Demand Cycle Timing loads about 721 tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 133 tokens; SKILL.md has 147 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). 147 words, ~721 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-bixie-amazon-seasonal-demand-cycle-timing
- description
- Distinguish genuine seasonal products from short-lived trends using multi-year search-volume cycles, BSR swings, and competitor price patterns, then map the confirmed cycle into staging, growth, peak, and clearance phases. Provides stop and clearance triggers tied to declining-demand evidence rather than a fixed calendar date. Use for 判断是不是季节性产品、季节性产品备货节奏、旺季衰退信号识别、清仓时机判断. Do not use for routine evergreen-product selection, or to conclude seasonality from a single month of data.
Amazon 季节性产品热度与备货节奏
目标
Distinguish genuine seasonal products from short-lived trends using multi-year search-volume cycles, BSR swings, and competitor price patterns, then map the confirmed cycle into staging, growth, peak, and clearance phases. Provides stop and clearance triggers tied to declining-demand evidence rather than a fixed calendar date.
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。
- 判断季节性需要多个周期重复验证的证据，仅凭一年数据或单一竞品表现得出结论，容易把偶发热点误判为稳定季节性规律。
- 搜索量、BSR 与销量的对应关系是经验假设，不同类目的转化路径不同，量级换算需用自身实际转化数据校准，不能直接套用统一比例。
- 连续下滑即衰退的判断标准会因类目波动性不同而需要调整灵敏度，窄幅正常波动不应被误判为衰退信号。
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
- 目标 marketplace、类目、价格带、上架时间与运营模式
- 候选品与同购买意图可比样本的销量、评论、价格和上架时间
- 关键词需求、历史趋势、广告依赖、同款密度和品牌集中度
- 采购、头程、平台费、退货、仓储、交期和合规/IP 基础信息
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：
- 拉取核心关键词较长周期（建议一年以上）的搜索量曲线，判断是否存在固定月份反复出现的波动，而不是只看近期数据。
- 交叉核对三到五个头部竞品同期的 BSR、价格与新链接进入节奏，确认排名与价格波动的时间点是否与搜索量曲线吻合。
- 只有搜索量、BSR、价格三个信号在多个周期里都重复出现类似节奏，才判定为真季节性产品，单一信号或只观察到一个周期不足以下结论。
- 一旦确认季节性，以搜索量连续多周环比抬升作为进入预热期的信号，启动上架与基础优化，备货量以此前周期的实际峰值销量为参考起点而非固定倍数。
- 峰值期后紧盯搜索量与竞品价格是否连续走弱，一旦出现连续走弱信号，立即停止补货并启动广告收缩，不等销量数据本身下滑再反应。
- 清仓定价以覆盖仓储与处理成本为底线，只要高于该底线即可考虑放行，不与旺季价格锚点比较。
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：拉取核心词多年历史搜索量曲线与竞品 BSR、价格走势作为季节性判断的代理证据。
- 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
- 季节性判断证据表
- 热度周期阶段划分
- 分阶段备货与广告节奏计划
- 衰退与清仓触发条件清单
- 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/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing 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 Bixie Amazon Seasonal Demand Cycle Timing 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 Bixie Amazon Seasonal Demand Cycle Timing this skillxjli360/sealeap-amazon-skills | 251 | — | ~721 | 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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xjli360/sealeap-amazon-skills
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xjli360/sealeap-amazon-skills
Filter, interpret, and turn the authorized 2025 Amazon Prime Day advertising insight records into a qualified event plan without averaging incompatible slices or treating historical benchmarks as…
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xjli360/sealeap-amazon-skills
Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, including audience expansion, competitor and category traffic, cross-sell…
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xjli360/sealeap-amazon-skills
Diagnose high Amazon Ads ACoS by decomposing CPC, conversion rate, price, query mix, placement mix, and sample sufficiency.
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Questions about Sealeap Bixie Amazon Seasonal Demand Cycle Timing
What does Sealeap Bixie Amazon Seasonal Demand Cycle Timing do?
Distinguish genuine seasonal products from short-lived trends using multi-year search-volume cycles, BSR swings, and competitor price patterns, then map the confirmed cycle into staging, growth…. Sealeap Bixie Amazon Seasonal Demand Cycle Timing is an agent skill from xjli360/sealeap-amazon-skills. Distinguish genuine seasonal products from short-lived trends using multi-year search-volume cycles, BSR swings, and competitor price patterns, then map the confirmed cycle into staging, growth, peak, and clearance phases.
When should I use Sealeap Bixie Amazon Seasonal Demand Cycle Timing?
Sealeap Bixie Amazon Seasonal Demand Cycle Timing fits situations like: tied to declining-demand evidence rather than a fixed calendar date; 判断是不是季节性产品、季节性产品备货节奏、旺季衰退信号识别、清仓时机判断; routine evergreen-product selection; conclude seasonality from a single month of data.
How do I install Sealeap Bixie Amazon Seasonal Demand Cycle Timing in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-seasonal-demand-cycle-timing -a claude-code`. Or copy the skill folder (amazon-skills/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Bixie Amazon Seasonal Demand Cycle Timing in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-seasonal-demand-cycle-timing -a codex`. Or copy the skill folder (amazon-skills/weixin/bixie/sealeap-bixie-amazon-seasonal-demand-cycle-timing in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing in your project. Codex loads it when a task matches its description.
Can I use Sealeap Bixie Amazon Seasonal Demand Cycle Timing 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-bixie-amazon-seasonal-demand-cycle-timing -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-bixie-amazon-seasonal-demand-cycle-timing, .gemini/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing, .github/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing and .opencode/skills/sealeap-bixie-amazon-seasonal-demand-cycle-timing in your project.
What does Sealeap Bixie Amazon Seasonal Demand Cycle Timing need to run?
Going by SKILL.md and its folder, Sealeap Bixie Amazon Seasonal Demand Cycle Timing needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Bixie Amazon Seasonal Demand Cycle Timing 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 Bixie Amazon Seasonal Demand Cycle Timing 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 Bixie Amazon Seasonal Demand Cycle Timing use?
Sealeap Bixie Amazon Seasonal Demand Cycle Timing 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 Bixie Amazon Seasonal Demand Cycle Timing use?
About 721 tokens (SKILL.md is roughly 2.9k 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 Bixie Amazon Seasonal Demand Cycle Timing?
Skills that share tags, products or a category with Sealeap Bixie Amazon Seasonal Demand Cycle Timing: 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 Bixie Amazon Seasonal Demand Cycle Timing?
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.