Sequence Performance
gooseworks-ai/goose-skills
Email campaign/sequence performance review composite. An agent skill from gooseworks-ai/goose-skills.
Agent skill
Sealeap Feilian Amazon Buyer Segment Price Calibration
Audit whether a reported shift toward value-driven, income-segmented buying behavior actually shows up in the account's own category conversion and price-band data before rebalancing keyword…
Install Sealeap Feilian Amazon Buyer Segment Price Calibration
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-feilian-amazon-buyer-segment-price-calibration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-feilian-amazon-buyer-segment-price-calibration --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/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration .claude/skills/sealeap-feilian-amazon-buyer-segment-price-calibration && 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-feilian-amazon-buyer-segment-price-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration into .claude/skills/sealeap-feilian-amazon-buyer-segment-price-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-feilian-amazon-buyer-segment-price-calibration", 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/feilian/sealeap-feilian-amazon-buyer-segment-price-calibrationType 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-feilian-amazon-buyer-segment-price-calibration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-feilian-amazon-buyer-segment-price-calibration --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/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration .agents/skills/sealeap-feilian-amazon-buyer-segment-price-calibration && 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-feilian-amazon-buyer-segment-price-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration into .agents/skills/sealeap-feilian-amazon-buyer-segment-price-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-feilian-amazon-buyer-segment-price-calibration", 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-feilian-amazon-buyer-segment-price-calibration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-feilian-amazon-buyer-segment-price-calibration --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/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration .cursor/skills/sealeap-feilian-amazon-buyer-segment-price-calibration && 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-feilian-amazon-buyer-segment-price-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration into .cursor/skills/sealeap-feilian-amazon-buyer-segment-price-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-feilian-amazon-buyer-segment-price-calibration", 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/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration--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-feilian-amazon-buyer-segment-price-calibration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-feilian-amazon-buyer-segment-price-calibration --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/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration .gemini/skills/sealeap-feilian-amazon-buyer-segment-price-calibration && 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-feilian-amazon-buyer-segment-price-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration into .gemini/skills/sealeap-feilian-amazon-buyer-segment-price-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-feilian-amazon-buyer-segment-price-calibration", 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-feilian-amazon-buyer-segment-price-calibrationInstalls 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-feilian-amazon-buyer-segment-price-calibration -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/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration .github/skills/sealeap-feilian-amazon-buyer-segment-price-calibration && 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-feilian-amazon-buyer-segment-price-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration into .github/skills/sealeap-feilian-amazon-buyer-segment-price-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-feilian-amazon-buyer-segment-price-calibration", 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-feilian-amazon-buyer-segment-price-calibration -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-feilian-amazon-buyer-segment-price-calibration --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/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration .opencode/skills/sealeap-feilian-amazon-buyer-segment-price-calibration && 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-feilian-amazon-buyer-segment-price-calibration" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration into .opencode/skills/sealeap-feilian-amazon-buyer-segment-price-calibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-feilian-amazon-buyer-segment-price-calibration", 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-feilian-amazon-buyer-segment-price-calibration- GitHub stars
- 251
- Token cost
- ~816 tokens
- SKILL.md length
- 154 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Audit whether a reported shift toward value-driven, income-segmented buying behavior actually shows up in the account's own category conversion and price-band data before rebalancing keyword…
- 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。 → …
- 大促消费分层核实、价格带与关键词匹配复核、选品双轨结构评估、广告加码前的必要性判断、受影响SKU库存与清仓节奏规划
- 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 Feilian Amazon Buyer Segment Price Calibration is an agent skill from xjli360/sealeap-amazon-skills. Audit whether a reported shift toward value-driven, income-segmented buying behavior actually shows up in the account's own category conversion and price-band data before rebalancing keyword bidding, price bands, and the mix between high-consideration and everyday-replenishment items. Treats third-party consumer-sentiment findings as hypotheses to confirm with the account's own data, not as facts to act on directly. Use for 大促消费分层核实、价格带与关键词匹配复核、选品双轨结构评估、广告加码前的必要性判断、受影响SKU库存与清仓节奏规划. Do not use to assume a reported…
Its SKILL.md is about 820 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 Business, Finance & HR, covering Performance reviews. 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
- 大促消费分层核实、价格带与关键词匹配复核、选品双轨结构评估、广告加码前的必要性判断、受影响SKU库存与清仓节奏规划
- Tasks that involve Performance reviews
Example prompts
- “/sealeap-feilian-amazon-buyer-segment-price-calibration”
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 Feilian Amazon Buyer Segment Price Calibration loads about 816 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 176 tokens; SKILL.md has 154 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). 154 words, ~816 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-feilian-amazon-buyer-segment-price-calibration/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-feilian-amazon-buyer-segment-price-calibration
- description
- Audit whether a reported shift toward value-driven, income-segmented buying behavior actually shows up in the account's own category conversion and price-band data before rebalancing keyword bidding, price bands, and the mix between high-consideration and everyday-replenishment items. Treats third-party consumer-sentiment findings as hypotheses to confirm with the account's own data, not as facts to act on directly. Use for 大促消费分层核实、价格带与关键词匹配复核、选品双轨结构评估、广告加码前的必要性判断、受影响SKU库存与清仓节奏规划. Do not use to assume a reported national consumer-sentiment shift applies to this account's category without checking its own conversion and price-band data first.
Amazon 大促消费分层选品定价校准
目标
Audit whether a reported shift toward value-driven, income-segmented buying behavior actually shows up in the account's own category conversion and price-band data before rebalancing keyword bidding, price bands, and the mix between high-consideration and everyday-replenishment items. Treats third-party consumer-sentiment findings as hypotheses to confirm with the account's own data, not as facts to act on directly.
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。
- 来源引用的具体消费支出增减比例、分期付款使用率等数字均为第三方报告统计，抽样口径未知，仅作方向性参考，不能直接套用为本账户的预期变化幅度。
- 消费分层、流量转向比价通道等是来源对宏观现象的归因解读，因果关系未经验证，需用自身流量来源与转化数据独立判断，不作为确定结论直接执行。
- 选品双轨的具体品类方向是来源举例，需按自身供应链与品类竞争格局重新评估适配性，不直接套用来源示例的品类范围。
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、ASIN/SKU、产品事实与目标购买任务
- 关键词、商品投放、展示和视频的聚合表现
- 受众包定义、资格、站点限制和隐私边界
- 价格、评论、页面、库存与转化基线
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：
- 用自身账户近期转化率、客单价分布与加购/弃购数据，核对价格敏感度上升、消费者更看重性价比等说法是否在本类目、本店铺真实出现，而不是直接采信第三方报告结论。
- 若确认存在价格敏感度上升迹象，重新核对广告关键词与价格带的匹配度：检查高客单价词是否投向已降价或促销中的Listing，避免出价与实际到手价错配导致点击后跳出。
- 评估现有产品结构是否同时覆盖高客单价刚需与日常复购刚需两类需求；对只覆盖单一价格带的品类，评估是否需要补充另一价格带的候选款，而非在同价格带内简单加大广告预算。
- 在决定加大广告投放前，先用小额预算测试当前流量成本与转化是否确因分层现象改变，避免在流量价值实际下降时逆势加码导致投产比恶化。
- 结合验证到的需求分层结果，提前规划受影响价格带SKU的库存周转与清仓节奏，对判断为需求转弱的产品预留提前促销出清的时间窗口。
- 若考虑引入分期付款等新促销支付方式，核对其在目标站点的可用性、费用结构与顾客实际到手价，作为可选项测试而非默认执行项。
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：补充同类目下不同价格带竞品的定价分布与相关关键词搜索量变化，作为消费分层假设是否适用于当前类目的交叉验证证据。
- 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
- 消费分层现象自查记录（转化率/客单价/价格敏感度）
- 关键词与价格带匹配复核表
- 选品双轨结构缺口评估
- 受影响SKU库存与清仓节奏草案
- 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/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration 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 Feilian Amazon Buyer Segment Price Calibration 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 Feilian Amazon Buyer Segment Price Calibration this skillxjli360/sealeap-amazon-skills | 251 | — | ~816 | Automated safety check: Pass | MIT | |
| Sequence Performancegooseworks-ai/goose-skills | 1.2k | 1 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Red Tables Figuresbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Interview Prepreactive-resume/reactive-resume | 44k | — | ~10k | Automated safety check: Pass | MIT | |
| Mock Interviewreactive-resume/reactive-resume | 44k | — | ~11k | Automated safety check: Pass | MIT | |
| Offer Negotiationreactive-resume/reactive-resume | 44k | — | ~10k | Automated safety check: Pass | MIT |
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Questions about Sealeap Feilian Amazon Buyer Segment Price Calibration
What does Sealeap Feilian Amazon Buyer Segment Price Calibration do?
Audit whether a reported shift toward value-driven, income-segmented buying behavior actually shows up in the account's own category conversion and price-band data before rebalancing keyword…. Sealeap Feilian Amazon Buyer Segment Price Calibration is an agent skill from xjli360/sealeap-amazon-skills. Audit whether a reported shift toward value-driven, income-segmented buying behavior actually shows up in the account's own category conversion and price-band data before rebalancing keyword bidding, price bands, and the mix between high-consideration and everyday-replenishment items.
When should I use Sealeap Feilian Amazon Buyer Segment Price Calibration?
Sealeap Feilian Amazon Buyer Segment Price Calibration fits situations like: 大促消费分层核实、价格带与关键词匹配复核、选品双轨结构评估、广告加码前的必要性判断、受影响SKU库存与清仓节奏规划; tasks that involve Performance reviews.
How do I install Sealeap Feilian Amazon Buyer Segment Price Calibration in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-feilian-amazon-buyer-segment-price-calibration -a claude-code`. Or copy the skill folder (amazon-skills/weixin/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-feilian-amazon-buyer-segment-price-calibration in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Feilian Amazon Buyer Segment Price Calibration in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-feilian-amazon-buyer-segment-price-calibration -a codex`. Or copy the skill folder (amazon-skills/weixin/feilian/sealeap-feilian-amazon-buyer-segment-price-calibration in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-feilian-amazon-buyer-segment-price-calibration in your project. Codex loads it when a task matches its description.
Can I use Sealeap Feilian Amazon Buyer Segment Price Calibration 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-feilian-amazon-buyer-segment-price-calibration -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-feilian-amazon-buyer-segment-price-calibration, .gemini/skills/sealeap-feilian-amazon-buyer-segment-price-calibration, .github/skills/sealeap-feilian-amazon-buyer-segment-price-calibration and .opencode/skills/sealeap-feilian-amazon-buyer-segment-price-calibration in your project.
What does Sealeap Feilian Amazon Buyer Segment Price Calibration need to run?
Going by SKILL.md and its folder, Sealeap Feilian Amazon Buyer Segment Price Calibration needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Feilian Amazon Buyer Segment Price Calibration 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 Feilian Amazon Buyer Segment Price Calibration 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 Feilian Amazon Buyer Segment Price Calibration use?
Sealeap Feilian Amazon Buyer Segment Price Calibration 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 Feilian Amazon Buyer Segment Price Calibration use?
About 816 tokens (SKILL.md is roughly 3.3k 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 2.4k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Feilian Amazon Buyer Segment Price Calibration?
Skills that share tags, products or a category with Sealeap Feilian Amazon Buyer Segment Price Calibration: Sequence Performance (gooseworks-ai/goose-skills, 1.2k stars), Red Tables Figures (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Interview Prep (reactive-resume/reactive-resume, 44k stars) and Mock Interview (reactive-resume/reactive-resume, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Feilian Amazon Buyer Segment Price Calibration?
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.