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patsnap/mcp
Patsnap Patent Research MCP for AI agents. An agent skill from patsnap/mcp.
Agent skill
Sealeap Bixi Amazon Ip Collab Category Fit Screen
Screen whether a product category fits an IP-collaboration or emotional-premium strategy, and if so which licensing tier and limited-release mechanics to use, based on evidence about the target…
Install Sealeap Bixi Amazon Ip Collab Category Fit Screen
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixi-amazon-ip-collab-category-fit-screen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixi-amazon-ip-collab-category-fit-screen --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/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen .claude/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen && 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-bixi-amazon-ip-collab-category-fit-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen into .claude/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixi-amazon-ip-collab-category-fit-screen", 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/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screenType 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-bixi-amazon-ip-collab-category-fit-screen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixi-amazon-ip-collab-category-fit-screen --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/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen .agents/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen && 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-bixi-amazon-ip-collab-category-fit-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen into .agents/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixi-amazon-ip-collab-category-fit-screen", 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-bixi-amazon-ip-collab-category-fit-screen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixi-amazon-ip-collab-category-fit-screen --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/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen .cursor/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen && 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-bixi-amazon-ip-collab-category-fit-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen into .cursor/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixi-amazon-ip-collab-category-fit-screen", 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/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen--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-bixi-amazon-ip-collab-category-fit-screen -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixi-amazon-ip-collab-category-fit-screen --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/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen .gemini/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen && 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-bixi-amazon-ip-collab-category-fit-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen into .gemini/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixi-amazon-ip-collab-category-fit-screen", 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-bixi-amazon-ip-collab-category-fit-screenInstalls 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-bixi-amazon-ip-collab-category-fit-screen -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/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen .github/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen && 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-bixi-amazon-ip-collab-category-fit-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen into .github/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixi-amazon-ip-collab-category-fit-screen", 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-bixi-amazon-ip-collab-category-fit-screen -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-bixi-amazon-ip-collab-category-fit-screen --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/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen .opencode/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen && 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-bixi-amazon-ip-collab-category-fit-screen" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen into .opencode/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixi-amazon-ip-collab-category-fit-screen", 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-bixi-amazon-ip-collab-category-fit-screen- GitHub stars
- 251
- Token cost
- ~765 tokens
- SKILL.md length
- 141 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Screen whether a product category fits an IP-collaboration or emotional-premium strategy, and if so which licensing tier and limited-release mechanics to use, based on evidence about the target…
- 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。 → …
- 判断产品适不适合做IP联名、该选头部IP还是腰部或区域性IP、限量编号发售怎么设计、情绪溢价空间怎么评估
- 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 Bixi Amazon Ip Collab Category Fit Screen is an agent skill from xjli360/sealeap-amazon-skills. Screen whether a product category fits an IP-collaboration or emotional-premium strategy, and if so which licensing tier and limited-release mechanics to use, based on evidence about the target buyer's purchase motivation and the product's shareability rather than assumed IP heat. Use for 判断产品适不适合做IP联名、该选头部IP还是腰部或区域性IP、限量编号发售怎么设计、情绪溢价空间怎么评估. Do not use to sign or execute any IP licensing agreement without legal and rights-holder verification.
Its SKILL.md is about 770 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 Legal & Compliance, covering Intellectual property. 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
- 判断产品适不适合做IP联名、该选头部IP还是腰部或区域性IP、限量编号发售怎么设计、情绪溢价空间怎么评估
- Execute any IP licensing agreement without legal and rights-holder verification
Example prompts
- “s purchase motivation and the product”
- “/sealeap-bixi-amazon-ip-collab-category-fit-screen”
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 Bixi Amazon Ip Collab Category Fit Screen loads about 765 tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 124 tokens; SKILL.md has 141 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). 141 words, ~765 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-bixi-amazon-ip-collab-category-fit-screen
- description
- Screen whether a product category fits an IP-collaboration or emotional-premium strategy, and if so which licensing tier and limited-release mechanics to use, based on evidence about the target buyer's purchase motivation and the product's shareability rather than assumed IP heat. Use for 判断产品适不适合做IP联名、该选头部IP还是腰部或区域性IP、限量编号发售怎么设计、情绪溢价空间怎么评估. Do not use to sign or execute any IP licensing agreement without legal and rights-holder verification.
Amazon IP联名品类机会评估
目标
Screen whether a product category fits an IP-collaboration or emotional-premium strategy, and if so which licensing tier and limited-release mechanics to use, based on evidence about the target buyer's purchase motivation and the product's shareability rather than assumed IP heat.
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。
- 海外消费者对中国IP接受度已提升是来源账号的解读性判断，需用自身目标市场的独立数据（搜索热度、社媒声量、同类产品复购率）验证，不能直接当作已验证事实套用。
- 来源中的具体二手溢价倍数、限量数量、单IP营收占比等数字均为个案观察，不能作为自身选品的定价预期或授权成本假设，须以自身测试和实际报价为准。
- 限量抢购、饥饿营销等玩法若涉及虚假库存展示、刷单造势等操纵手段不采用；营销文案与稀缺性宣称需符合平台规则与当地广告合规要求。
- IP授权谈判、独家品类授权等条款具有法律约束力，需由法务或专业代理审核后再签约，不能仅凭案例报道自行判断可行性或标准条款。
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：
- 先判断目标客群的购买动机：用评论、社媒讨论或问卷等证据核实是偏情绪、身份认同或收藏型，还是偏性价比或实用型，后者不宜强行叠加IP，需用自身客群数据验证而非套用来源判断。
- 盘点候选IP的授权层级与成本：区分头部大IP（授权费高、通常有销售分成、审核严格）与腰部、区域性或小众IP（成本更低、谈判空间更大），按自身预算和目标品类利润率筛选可承受层级，具体费率以实际报价和合同为准。
- 核对品类是否具备可炫耀的社交属性：产品能否被随身携带、展示、拍照或更换外观；缺乏这类社交货币属性的品类即使贴标也难复制同等溢价，需用自身客评与晒单、退货数据验证而非直接套用来源结论。
- 若产品本身具备故事性或视觉记忆点，可设计限量编号、平台首发等发售机制；执行前核实目标站点对限量、绝版等营销文案的合规要求，避免夸大库存稀缺性。
- 先以小批量或单一SKU测试情绪溢价能否转化：对比加贴IP前后的转化率、客单价与退货率，而不是直接大规模投入生产与备货。
- 设定终止条件：若测试结果显示溢价未能覆盖授权与开发成本，或退货、差评指向货不对板，应停止扩大投入并复盘IP与品类的匹配假设，而不是加大营销投入硬撑。
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：补充目标市场对候选IP与品类的搜索热度、社媒声量与同类联名产品评论证据。
- 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
- IP联名品类适配度评估表
- 候选IP授权层级与成本对比清单
- 限量发售机制设计与合规核对记录
- 小规模测试转化数据复盘报告
- 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/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen 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 Bixi Amazon Ip Collab Category Fit Screen 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 Bixi Amazon Ip Collab Category Fit Screen this skillxjli360/sealeap-amazon-skills | 251 | — | ~765 | Automated safety check: Pass | MIT | |
| Patsnap Ip Searchingpatsnap/mcp | 113 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Prior Art Searchillusionaireal/oh-my-patent | 104 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Patsnap Triz Case Librarypatsnap/mcp | 113 | — | ~885 | Automated safety check: Pass | Apache-2.0 | |
| Patsnap Workspacepatsnap/mcp | 113 | — | ~777 | Automated safety check: Pass | Apache-2.0 | |
| Mpep SearchRobThePCGuy/Claude-Patent-Creator | 196 | — | ~978 | Automated safety check: Pass | MIT |
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Questions about Sealeap Bixi Amazon Ip Collab Category Fit Screen
What does Sealeap Bixi Amazon Ip Collab Category Fit Screen do?
Screen whether a product category fits an IP-collaboration or emotional-premium strategy, and if so which licensing tier and limited-release mechanics to use, based on evidence about the target…. Sealeap Bixi Amazon Ip Collab Category Fit Screen is an agent skill from xjli360/sealeap-amazon-skills. Screen whether a product category fits an IP-collaboration or emotional-premium strategy, and if so which licensing tier and limited-release mechanics to use, based on evidence about the target buyer's purchase motivation and the product's shareability rather than assumed IP heat.
When should I use Sealeap Bixi Amazon Ip Collab Category Fit Screen?
Sealeap Bixi Amazon Ip Collab Category Fit Screen fits situations like: 判断产品适不适合做IP联名、该选头部IP还是腰部或区域性IP、限量编号发售怎么设计、情绪溢价空间怎么评估; execute any IP licensing agreement without legal and rights-holder verification.
How do I install Sealeap Bixi Amazon Ip Collab Category Fit Screen in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixi-amazon-ip-collab-category-fit-screen -a claude-code`. Or copy the skill folder (amazon-skills/weixin/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Bixi Amazon Ip Collab Category Fit Screen in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixi-amazon-ip-collab-category-fit-screen -a codex`. Or copy the skill folder (amazon-skills/weixin/bixi/sealeap-bixi-amazon-ip-collab-category-fit-screen in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen in your project. Codex loads it when a task matches its description.
Can I use Sealeap Bixi Amazon Ip Collab Category Fit Screen 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-bixi-amazon-ip-collab-category-fit-screen -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-bixi-amazon-ip-collab-category-fit-screen, .gemini/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen, .github/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen and .opencode/skills/sealeap-bixi-amazon-ip-collab-category-fit-screen in your project.
What does Sealeap Bixi Amazon Ip Collab Category Fit Screen need to run?
Going by SKILL.md and its folder, Sealeap Bixi Amazon Ip Collab Category Fit Screen needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Bixi Amazon Ip Collab Category Fit Screen 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 Bixi Amazon Ip Collab Category Fit Screen 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 Bixi Amazon Ip Collab Category Fit Screen use?
Sealeap Bixi Amazon Ip Collab Category Fit Screen 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 Bixi Amazon Ip Collab Category Fit Screen use?
About 765 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 Bixi Amazon Ip Collab Category Fit Screen?
Skills that share tags, products or a category with Sealeap Bixi Amazon Ip Collab Category Fit Screen: Patsnap Ip Searching (patsnap/mcp, 113 stars), Prior Art Search (illusionaireal/oh-my-patent, 104 stars), Patsnap Triz Case Library (patsnap/mcp, 113 stars) and Patsnap Workspace (patsnap/mcp, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Bixi Amazon Ip Collab Category Fit Screen?
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.