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timescale/pg-aiguide
A skill your agent uses to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables.
Agent skill
Sealeap Hundun Amazon Blue Ocean Filter Differentiation
Narrow blue-ocean product candidates using a combined filter of search-demand floor, competing-listing count ceiling, minimum price floor, non-seasonality, click-concentration ceiling and an ad-cost…
Install Sealeap Hundun Amazon Blue Ocean Filter Differentiation
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-blue-ocean-filter-differentiation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-blue-ocean-filter-differentiation --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/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation .claude/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation && 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-hundun-amazon-blue-ocean-filter-differentiation" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation into .claude/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-blue-ocean-filter-differentiation", 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/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiationType 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-hundun-amazon-blue-ocean-filter-differentiation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-blue-ocean-filter-differentiation --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/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation .agents/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation && 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-hundun-amazon-blue-ocean-filter-differentiation" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation into .agents/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-blue-ocean-filter-differentiation", 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-hundun-amazon-blue-ocean-filter-differentiation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-blue-ocean-filter-differentiation --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/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation .cursor/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation && 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-hundun-amazon-blue-ocean-filter-differentiation" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation into .cursor/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-blue-ocean-filter-differentiation", 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/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation--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-hundun-amazon-blue-ocean-filter-differentiation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-blue-ocean-filter-differentiation --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/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation .gemini/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation && 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-hundun-amazon-blue-ocean-filter-differentiation" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation into .gemini/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-blue-ocean-filter-differentiation", 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-hundun-amazon-blue-ocean-filter-differentiationInstalls 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-hundun-amazon-blue-ocean-filter-differentiation -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/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation .github/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation && 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-hundun-amazon-blue-ocean-filter-differentiation" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation into .github/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-blue-ocean-filter-differentiation", 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-hundun-amazon-blue-ocean-filter-differentiation -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-hundun-amazon-blue-ocean-filter-differentiation --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/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation .opencode/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation && 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-hundun-amazon-blue-ocean-filter-differentiation" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation into .opencode/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-blue-ocean-filter-differentiation", 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-hundun-amazon-blue-ocean-filter-differentiation- GitHub stars
- 251
- Token cost
- ~828 tokens
- SKILL.md length
- 153 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Narrow blue-ocean product candidates using a combined filter of search-demand floor, competing-listing count ceiling, minimum price floor, non-seasonality, click-concentration ceiling and an ad-cost…
- 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。 → …
- 蓝海类目怎么快速筛、选品筛选条件怎么组合、差评怎么挖差异化点、选完品还要查什么再下单
- 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 Hundun Amazon Blue Ocean Filter Differentiation is an agent skill from xjli360/sealeap-amazon-skills. Narrow blue-ocean product candidates using a combined filter of search-demand floor, competing-listing count ceiling, minimum price floor, non-seasonality, click-concentration ceiling and an ad-cost ceiling as a competition proxy, then mine negative reviews on shortlisted competitors for unmet needs to design a differentiated version, with an IP screen before committing to sourcing. Use for 蓝海类目怎么快速筛、选品筛选条件怎么组合、差评怎么挖差异化点、选完品还要查什么再下单. Do not use to skip the IP screen step, or to copy a competitor's product…
Its SKILL.md is about 830 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 Data & Analytics, covering 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
- 蓝海类目怎么快速筛、选品筛选条件怎么组合、差评怎么挖差异化点、选完品还要查什么再下单
- Skip the IP screen step
- Copy a competitors product one-to-one without addressing the mined pain points
Example prompts
- “/sealeap-hundun-amazon-blue-ocean-filter-differentiation”
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 Hundun Amazon Blue Ocean Filter Differentiation loads about 828 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 155 tokens; SKILL.md has 153 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). 153 words, ~828 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-hundun-amazon-blue-ocean-filter-differentiation
- description
- Narrow blue-ocean product candidates using a combined filter of search-demand floor, competing-listing count ceiling, minimum price floor, non-seasonality, click-concentration ceiling and an ad-cost ceiling as a competition proxy, then mine negative reviews on shortlisted competitors for unmet needs to design a differentiated version, with an IP screen before committing to sourcing. Use for 蓝海类目怎么快速筛、选品筛选条件怎么组合、差评怎么挖差异化点、选完品还要查什么再下单. Do not use to skip the IP screen step, or to copy a competitor's product one-to-one without addressing the mined pain points.
Amazon 蓝海筛选与差评差异化
目标
Narrow blue-ocean product candidates using a combined filter of search-demand floor, competing-listing count ceiling, minimum price floor, non-seasonality, click-concentration ceiling and an ad-cost ceiling as a competition proxy, then mine negative reviews on shortlisted competitors for unmet needs to design a differentiated version, with an IP screen before committing to sourcing.
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。
- 来源给出的搜索量、竞品数量、价格、点击集中度与广告竞价的具体阈值为特定时点的经验参考，需按当前账户数据与类目基准重新校准，不作为固定标准。
- 差评中反映的问题只是候选痛点，不代表解决后一定能转化为销量提升；改进方向仍需通过小批量上架与实际转化数据验证。
- 第三方选品工具给出的搜索量、点击集中度与广告竞价均为估算或平台数据的再加工，与官方一方数据可能存在口径差异，决策前应与前台观测交叉核对。
- 知识产权初筛只能排除明显红旗，查不到不代表没有风险；涉及外观相近或功能性专利较多的品类，建议在批量采购前追加专业查询。
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：
- 先明确蓝海判断的核心逻辑：需求足够大但竞争足够小，用搜索结果数量和广告竞价水平两个方向性指标交叉判断，而不是只看其中一个；具体数值门槛按当前账户目标毛利与类目基准校准，不套用固定数字。
- 用组合筛选条件缩小候选范围：设定搜索量下限、竞品数量上限、价格下限、排除季节性产品、点击集中度上限、广告竞价上限；这些门槛都需要按自身目标利润和风险承受度设定，来源给出的具体数值仅作起点参考。
- 对通过筛选的候选词，回到平台前台核实真实搜索结果数量与关键词近期搜索趋势、点击集中度、广告竞价区间，避免只信任工具后台数据而不做前台交叉验证。
- 核实候选产品的大致采购成本，估算目标售价下的毛利空间是否达到自身要求；成本核实要覆盖同款产品的至少几个供应商报价，不只取第一个报价。
- 从头部竞品的差评与购买动机中提炼未被满足的诉求（功能不好用、耐用度不足、结构不牢固等常见类型），针对性设计差异化改进点，而不是直接复制头部产品的规格；差评文本可人工抽样阅读或用文本分析工具辅助归类高频问题。
- 正式下单采购前补做知识产权初筛：核对产品外观、名称与核心宣传语是否可能触碰他人已注册商标或外观专利，初筛通过后再进入打样与批量采购环节。
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：获取候选关键词的搜索量、点击集中度、广告竞价区间及竞品差评文本等代理数据，用于蓝海筛选与差异化设计。
- 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
- 组合筛选条件与候选类目清单
- 前台搜索结果与关键词趋势交叉核验记录
- 供应商报价与毛利测算表
- 差评痛点归类与差异化改进方向
- 上市前知识产权初筛记录
- 数据范围、来源、采集时间、样本与限制。
- 关键假设、待补证据、风险和不可确定项。
- 若有动作：对象、旧值、新值、预期、停止条件、回退值与审批状态。
方案状态使用 READY FOR REVIEW / DRAFT / HOLD / STOP；如已执行，另行记录实际结果及回读证据。未得到明确批准时，不得声称已修改线上对象。
© xjli360, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in amazon-skills/bilibili/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation 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
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| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sealeap Hundun Amazon Blue Ocean Filter Differentiation this skillxjli360/sealeap-amazon-skills | 251 | — | ~828 | Automated safety check: Pass | MIT | |
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| Roas Forecastingirinabuht12-oss/marketing-skills | 4.1k | — | ~681 | Automated safety check: Pass | None | |
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| Cja Dimension Analysisadobe/skills | 197 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 |
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Questions about Sealeap Hundun Amazon Blue Ocean Filter Differentiation
What does Sealeap Hundun Amazon Blue Ocean Filter Differentiation do?
Narrow blue-ocean product candidates using a combined filter of search-demand floor, competing-listing count ceiling, minimum price floor, non-seasonality, click-concentration ceiling and an ad-cost…. Sealeap Hundun Amazon Blue Ocean Filter Differentiation is an agent skill from xjli360/sealeap-amazon-skills. Narrow blue-ocean product candidates using a combined filter of search-demand floor, competing-listing count ceiling, minimum price floor, non-seasonality, click-concentration ceiling and an ad-cost ceiling as a competition proxy, then mine negative reviews on shortlisted competitors for unmet needs to design a differentiated version, with an IP screen before committing to sourcing.
When should I use Sealeap Hundun Amazon Blue Ocean Filter Differentiation?
Sealeap Hundun Amazon Blue Ocean Filter Differentiation fits situations like: 蓝海类目怎么快速筛、选品筛选条件怎么组合、差评怎么挖差异化点、选完品还要查什么再下单; skip the IP screen step; copy a competitors product one-to-one without addressing the mined pain points.
How do I install Sealeap Hundun Amazon Blue Ocean Filter Differentiation in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-blue-ocean-filter-differentiation -a claude-code`. Or copy the skill folder (amazon-skills/bilibili/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Hundun Amazon Blue Ocean Filter Differentiation in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-blue-ocean-filter-differentiation -a codex`. Or copy the skill folder (amazon-skills/bilibili/hundun/sealeap-hundun-amazon-blue-ocean-filter-differentiation in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation in your project. Codex loads it when a task matches its description.
Can I use Sealeap Hundun Amazon Blue Ocean Filter Differentiation 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-hundun-amazon-blue-ocean-filter-differentiation -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-hundun-amazon-blue-ocean-filter-differentiation, .gemini/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation, .github/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation and .opencode/skills/sealeap-hundun-amazon-blue-ocean-filter-differentiation in your project.
What does Sealeap Hundun Amazon Blue Ocean Filter Differentiation need to run?
Going by SKILL.md and its folder, Sealeap Hundun Amazon Blue Ocean Filter Differentiation needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Hundun Amazon Blue Ocean Filter Differentiation 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 Hundun Amazon Blue Ocean Filter Differentiation 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 Hundun Amazon Blue Ocean Filter Differentiation use?
Sealeap Hundun Amazon Blue Ocean Filter Differentiation 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 Hundun Amazon Blue Ocean Filter Differentiation use?
About 828 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 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Hundun Amazon Blue Ocean Filter Differentiation?
Skills that share tags, products or a category with Sealeap Hundun Amazon Blue Ocean Filter Differentiation: Find Hypertable Candidates (timescale/pg-aiguide, 1.9k stars), Setup Timescaledb Hypertables (timescale/pg-aiguide, 1.9k stars), Roas Forecasting (irinabuht12-oss/marketing-skills, 4.1k stars) and Apex Azure Kusto (jonathan-vella/apex, 217 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Hundun Amazon Blue Ocean Filter Differentiation?
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.