Review
apollographql/apollo-mcp-server
Review a GitHub pull request for a Rust codebase. An agent skill from apollographql/apollo-mcp-server.
Agent skill
Sealeap Bixie Amazon Variation Keyword Role Mapping
Analyze keyword coverage at the parent-ASIN level to assign each child variation a distinct keyword role instead of letting variations compete for the same terms.
Install Sealeap Bixie Amazon Variation Keyword Role Mapping
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-variation-keyword-role-mapping -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-variation-keyword-role-mapping --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-variation-keyword-role-mapping .claude/skills/sealeap-bixie-amazon-variation-keyword-role-mapping && 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-variation-keyword-role-mapping" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-variation-keyword-role-mapping into .claude/skills/sealeap-bixie-amazon-variation-keyword-role-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-variation-keyword-role-mapping", 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-variation-keyword-role-mappingType 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-variation-keyword-role-mapping -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-variation-keyword-role-mapping --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-variation-keyword-role-mapping .agents/skills/sealeap-bixie-amazon-variation-keyword-role-mapping && 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-variation-keyword-role-mapping" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-variation-keyword-role-mapping into .agents/skills/sealeap-bixie-amazon-variation-keyword-role-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-variation-keyword-role-mapping", 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-variation-keyword-role-mapping -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-variation-keyword-role-mapping --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-variation-keyword-role-mapping .cursor/skills/sealeap-bixie-amazon-variation-keyword-role-mapping && 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-variation-keyword-role-mapping" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-variation-keyword-role-mapping into .cursor/skills/sealeap-bixie-amazon-variation-keyword-role-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-variation-keyword-role-mapping", 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-variation-keyword-role-mapping--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-variation-keyword-role-mapping -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-variation-keyword-role-mapping --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-variation-keyword-role-mapping .gemini/skills/sealeap-bixie-amazon-variation-keyword-role-mapping && 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-variation-keyword-role-mapping" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-variation-keyword-role-mapping into .gemini/skills/sealeap-bixie-amazon-variation-keyword-role-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-variation-keyword-role-mapping", 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-variation-keyword-role-mappingInstalls 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-variation-keyword-role-mapping -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-variation-keyword-role-mapping .github/skills/sealeap-bixie-amazon-variation-keyword-role-mapping && 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-variation-keyword-role-mapping" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-variation-keyword-role-mapping into .github/skills/sealeap-bixie-amazon-variation-keyword-role-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-variation-keyword-role-mapping", 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-variation-keyword-role-mapping -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-variation-keyword-role-mapping --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-variation-keyword-role-mapping .opencode/skills/sealeap-bixie-amazon-variation-keyword-role-mapping && 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-variation-keyword-role-mapping" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/bixie/sealeap-bixie-amazon-variation-keyword-role-mapping into .opencode/skills/sealeap-bixie-amazon-variation-keyword-role-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bixie-amazon-variation-keyword-role-mapping", 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-variation-keyword-role-mapping- GitHub stars
- 251
- Token cost
- ~683 tokens
- SKILL.md length
- 144 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze keyword coverage at the parent-ASIN level to assign each child variation a distinct keyword role instead of letting variations compete for the same terms.
- 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。 → …
- 竞品关键词比我多、多变体自相竞争、变体该主攻什么词、看不清父体流量全貌
- 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 Variation Keyword Role Mapping is an agent skill from xjli360/sealeap-amazon-skills. Analyze keyword coverage at the parent-ASIN level to assign each child variation a distinct keyword role instead of letting variations compete for the same terms. Benchmarks against a competitor's parent-level keyword spread to find coverage gaps the competitor has left open. Use for 竞品关键词比我多、多变体自相竞争、变体该主攻什么词、看不清父体流量全貌. Do not use for single-variation keyword optimization, or to delist a variation before verifying parent-level data.
Its SKILL.md is about 680 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 Testing & QA, covering Test coverage. 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
- 竞品关键词比我多、多变体自相竞争、变体该主攻什么词、看不清父体流量全貌
- Single-variation keyword optimization
- Delist a variation before verifying parent-level data
Example prompts
- “/sealeap-bixie-amazon-variation-keyword-role-mapping”
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 Variation Keyword Role Mapping loads about 683 tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 144 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). 144 words, ~683 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-bixie-amazon-variation-keyword-role-mapping/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-variation-keyword-role-mapping
- description
- Analyze keyword coverage at the parent-ASIN level to assign each child variation a distinct keyword role instead of letting variations compete for the same terms. Benchmarks against a competitor's parent-level keyword spread to find coverage gaps the competitor has left open. Use for 竞品关键词比我多、多变体自相竞争、变体该主攻什么词、看不清父体流量全貌. Do not use for single-variation keyword optimization, or to delist a variation before verifying parent-level data.
Amazon 变体结构关键词角色分配
目标
Analyze keyword coverage at the parent-ASIN level to assign each child variation a distinct keyword role instead of letting variations compete for the same terms. Benchmarks against a competitor's parent-level keyword spread to find coverage gaps the competitor has left open.
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。
- 流量词数量由结构决定而非文案决定是一种经验归纳，并非平台机制的官方结论，调整变体结构前仍需结合具体关键词相关性判断。
- 下架低效变体会影响该变体已积累的历史评论与排名权重，属于不易完全回退的操作，执行前需评估其对整体链接的影响并留存证据。
- 竞品父体的关键词与流量数据来自第三方代理估算，存在误差和延迟，只能作为方向参考，不能当作竞品真实数据直接使用。
先判断任务模式
- 诊断：读取现状、证据和缺口，不生成线上写入动作。
- 方案草案：输出可审核的结构、参数范围、实验和回退值。
- 执行准备：只生成待批准变更表或 API/控制台操作草案。
- 已批准执行：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。
用户未指定时采用“诊断”。
开始前要拿到
- marketplace、产品事实、ASIN/SKU 与目标购买意图
- 本品和可比竞品的关键词、自然位置、广告可见度与采样时间
- 搜索词报告、转化、CPC、订单、利润和 Listing 当前覆盖
- 站点语言、变体、价格、库存与同期促销记录
缺失项必须标为 NEEDS_EVIDENCE；不得猜数字、补属性或把不同站点、ASIN、变体、币种和时间窗混在一起。
工作流
先读取 references/playbook.md，确认该方法适用于当前对象。按以下顺序执行：
- 先在父体层面拉出整条链接的关键词、流量与价格分布，而不是只看单个子体的转化数据。
- 从父体数据里区分全变体通用的核心词和只适合特定子体的细分属性词，避免所有子体重复投放同一批词。
- 结合各子体的历史转化与流量表现，为每个子体分配明确角色（冲大词、占细分场景词、或列为低效变体候选下架），形成一张变体关键词分工表。
- 用同样方法拉出一到两个主要竞品的父体关键词与变体结构，标出对方未覆盖或投入较弱的词与变体定位。
- 优先在竞品薄弱的词和定位上做差异化布局，而非跟随竞品已占优的核心词正面竞争。
- 定期复查各子体排名与流量占比变化，排名上升的角色分配继续加强，下滑的重新核对关键词与 Listing 匹配度。
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：获取竞品父体的关键词分布与流量结构作为变体角色划分的比对证据。
- 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
- 父体关键词流量全景表
- 变体角色分工表
- 竞品父体差异对比表
- 排名变化跟踪记录
- 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/weixin/bixie/sealeap-bixie-amazon-variation-keyword-role-mapping 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 Variation Keyword Role Mapping 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 Variation Keyword Role Mapping this skillxjli360/sealeap-amazon-skills | 251 | — | ~683 | Automated safety check: Pass | MIT | |
| Reviewapollographql/apollo-mcp-server | 314 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Sonar CoverageSonarSource/sonarqube-agent-plugins | 111 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Source Command Unifi MCP Test Coverageenuno/unifi-mcp-server | 284 | — | ~707 | Automated safety check: Pass | Apache-2.0 | |
| Jab Hookcoreyhaines31/makerskills | 851 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Unblock PRdatadog-labs/agent-skills | 177 | — | ~2.7k | Automated safety check: Pass | MIT |
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Questions about Sealeap Bixie Amazon Variation Keyword Role Mapping
What does Sealeap Bixie Amazon Variation Keyword Role Mapping do?
Analyze keyword coverage at the parent-ASIN level to assign each child variation a distinct keyword role instead of letting variations compete for the same terms. Sealeap Bixie Amazon Variation Keyword Role Mapping is an agent skill from xjli360/sealeap-amazon-skills. Analyze keyword coverage at the parent-ASIN level to assign each child variation a distinct keyword role instead of letting variations compete for the same terms.
When should I use Sealeap Bixie Amazon Variation Keyword Role Mapping?
Sealeap Bixie Amazon Variation Keyword Role Mapping fits situations like: 竞品关键词比我多、多变体自相竞争、变体该主攻什么词、看不清父体流量全貌; single-variation keyword optimization; delist a variation before verifying parent-level data.
How do I install Sealeap Bixie Amazon Variation Keyword Role Mapping in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-variation-keyword-role-mapping -a claude-code`. Or copy the skill folder (amazon-skills/weixin/bixie/sealeap-bixie-amazon-variation-keyword-role-mapping in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-bixie-amazon-variation-keyword-role-mapping in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Bixie Amazon Variation Keyword Role Mapping in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-variation-keyword-role-mapping -a codex`. Or copy the skill folder (amazon-skills/weixin/bixie/sealeap-bixie-amazon-variation-keyword-role-mapping in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-bixie-amazon-variation-keyword-role-mapping in your project. Codex loads it when a task matches its description.
Can I use Sealeap Bixie Amazon Variation Keyword Role Mapping 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-variation-keyword-role-mapping -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-variation-keyword-role-mapping, .gemini/skills/sealeap-bixie-amazon-variation-keyword-role-mapping, .github/skills/sealeap-bixie-amazon-variation-keyword-role-mapping and .opencode/skills/sealeap-bixie-amazon-variation-keyword-role-mapping in your project.
What does Sealeap Bixie Amazon Variation Keyword Role Mapping need to run?
Going by SKILL.md and its folder, Sealeap Bixie Amazon Variation Keyword Role Mapping needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Bixie Amazon Variation Keyword Role Mapping 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 Variation Keyword Role Mapping 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 Variation Keyword Role Mapping use?
Sealeap Bixie Amazon Variation Keyword Role Mapping 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 Variation Keyword Role Mapping use?
About 683 tokens (SKILL.md is roughly 2.7k 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 Variation Keyword Role Mapping?
Skills that share tags, products or a category with Sealeap Bixie Amazon Variation Keyword Role Mapping: Review (apollographql/apollo-mcp-server, 314 stars), Sonar Coverage (SonarSource/sonarqube-agent-plugins, 111 stars), Source Command Unifi MCP Test Coverage (enuno/unifi-mcp-server, 284 stars) and Jab Hook (coreyhaines31/makerskills, 851 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 Variation Keyword Role Mapping?
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.