Evaluate Skill
every-app/open-seo
Test a candidate OpenSEO skill end to end by running fresh, isolated Codex sessions against the local backend and scoring the reports they save.
Plan Amazon A+ Content around unresolved customer objections mined from reviews and Q&A, structure it into compliant modules that avoid prohibited claims, and route it through creation, preview, and…
Install Sealeap Dijiang Amazon Aplus Content Playbook
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-aplus-content-playbook -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-dijiang-amazon-aplus-content-playbook --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/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook .claude/skills/sealeap-dijiang-amazon-aplus-content-playbook && 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-dijiang-amazon-aplus-content-playbook" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook into .claude/skills/sealeap-dijiang-amazon-aplus-content-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-aplus-content-playbook", 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/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbookType 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-dijiang-amazon-aplus-content-playbook -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-dijiang-amazon-aplus-content-playbook --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/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook .agents/skills/sealeap-dijiang-amazon-aplus-content-playbook && 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-dijiang-amazon-aplus-content-playbook" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook into .agents/skills/sealeap-dijiang-amazon-aplus-content-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-aplus-content-playbook", 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-dijiang-amazon-aplus-content-playbook -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-dijiang-amazon-aplus-content-playbook --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/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook .cursor/skills/sealeap-dijiang-amazon-aplus-content-playbook && 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-dijiang-amazon-aplus-content-playbook" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook into .cursor/skills/sealeap-dijiang-amazon-aplus-content-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-aplus-content-playbook", 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/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook--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-dijiang-amazon-aplus-content-playbook -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-dijiang-amazon-aplus-content-playbook --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/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook .gemini/skills/sealeap-dijiang-amazon-aplus-content-playbook && 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-dijiang-amazon-aplus-content-playbook" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook into .gemini/skills/sealeap-dijiang-amazon-aplus-content-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-aplus-content-playbook", 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-dijiang-amazon-aplus-content-playbookInstalls 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-dijiang-amazon-aplus-content-playbook -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/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook .github/skills/sealeap-dijiang-amazon-aplus-content-playbook && 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-dijiang-amazon-aplus-content-playbook" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook into .github/skills/sealeap-dijiang-amazon-aplus-content-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-aplus-content-playbook", 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-dijiang-amazon-aplus-content-playbook -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-dijiang-amazon-aplus-content-playbook --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/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook .opencode/skills/sealeap-dijiang-amazon-aplus-content-playbook && 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-dijiang-amazon-aplus-content-playbook" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook into .opencode/skills/sealeap-dijiang-amazon-aplus-content-playbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-aplus-content-playbook", 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-dijiang-amazon-aplus-content-playbook- GitHub stars
- 251
- Token cost
- ~744 tokens
- SKILL.md length
- 146 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Plan Amazon A+ Content around unresolved customer objections mined from reviews and Q&A, structure it into compliant modules that avoid prohibited claims, and route it through creation, preview, and…
- 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。 → …
- A+内容怎么做、A+图文结构、A+被拒怎么改、要不要做品牌旗舰店故事模块
- 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 Dijiang Amazon Aplus Content Playbook is an agent skill from xjli360/sealeap-amazon-skills. Plan Amazon A+ Content around unresolved customer objections mined from reviews and Q&A, structure it into compliant modules that avoid prohibited claims, and route it through creation, preview, and resubmission until approved. Use for A+内容怎么做、A+图文结构、A+被拒怎么改、要不要做品牌旗舰店故事模块. Do not use to add contact information, promotions, competitor references, or guarantee claims that violate A+ content policy.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `references/playbook.md`).
It sits in Marketing & SEO. 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
- A+内容怎么做、A+图文结构、A+被拒怎么改、要不要做品牌旗舰店故事模块
- Add contact information
- Competitor references
- Guarantee claims that violate A+ content policy
Example prompts
- “/sealeap-dijiang-amazon-aplus-content-playbook”
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 Dijiang Amazon Aplus Content Playbook loads about 744 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 111 tokens; SKILL.md has 146 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). 146 words, ~744 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-dijiang-amazon-aplus-content-playbook/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-dijiang-amazon-aplus-content-playbook
- description
- Plan Amazon A+ Content around unresolved customer objections mined from reviews and Q&A, structure it into compliant modules that avoid prohibited claims, and route it through creation, preview, and resubmission until approved. Use for A+内容怎么做、A+图文结构、A+被拒怎么改、要不要做品牌旗舰店故事模块. Do not use to add contact information, promotions, competitor references, or guarantee claims that violate A+ content policy.
Amazon A+ 内容策划与合规
目标
Plan Amazon A+ Content around unresolved customer objections mined from reviews and Q&A, structure it into compliant modules that avoid prohibited claims, and route it through creation, preview, and resubmission until approved.
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。
- “A+ 内容能带来某个百分点的转化率提升”是来源经验总结的行业观察，不是保证值，应以自身商品上线前后的转化率对比作为唯一可信证据。
- “A+ 内容里的关键词会被搜索引擎索引并帮助自然排名”官方未正式确认，只能作为待验证假设，不应作为决定关键词堆砌程度的唯一依据。
- 品牌故事版解锁更多高级模块的具体规则可能随政策调整，实施前应以账号内当前可见的实际选项为准，不假设与来源描述完全一致。
- 挖掘自身与竞品负评作为内容素材输入时，仅用于归纳顾客关注点，不得在 A+ 画面中出现任何可反查的竞品名称或商标。
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、产品事实和当前 Listing
- 同购买意图可比竞品、价格、评论、图片和销量
- Search Term、Placement、CTR、CVR、订单、退货和利润
- VOC、Q&A、退货原因与任何页面或广告变更日志
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：
- 确认账号已具备创建 A+ 内容的资格（通常要求品牌注册通过），未满足前提时先完成前置的品牌资质认证，不要在不具备资格时排查“为什么创建不了”。
- 收集本商品与同类竞品的近期负评、追评与常见问答，归纳出顾客在购买前后最常见的疑虑与信息缺口，作为 A+ 各模块要优先回答的内容清单，而不是先想画面再拼内容。
- 按“基础版”和“品牌故事版”两类模块规划结构：基础版聚焦单个商品卖点与规格细节，品牌故事版聚焦品牌可信度，通常品牌故事版会作为解锁更多高级模块的前提，两者不建议在同一处重复堆砌相同信息。
- 素材制作优先保证可读性而非信息密度：每屏聚焦一个卖点或一组对比信息，避免文字堆砌导致顾客划走；如涉及系列商品，可加入选购对比模块帮助顾客在自身产品线内比较而不是跳去竞品。
- 提交前逐条对照 A+ 内容政策自查：不含卖家联系方式、不含站外推广/自身社媒引流、不提及竞品或第三方商标、不含限时促销与价格信息、不含无法兑现的“保证”类措辞、不擅自使用他人商标或平台自身logo。
- 提交审核后按结果分流：通过则上线并记录上线前后的转化率变化作为自有证据；被拒则对照驳回原因逐条修改后重新提交，不要整体推倒重做。
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：如自身评论/问答样本不足，可用第三方评论抓取工具补充自身与竞品的近期评论与问答作为内容素材输入，仅作为顾客疑虑归纳依据，不得复制原文或引用可反查的竞品信息。
- 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
- 顾客疑虑/问答清单
- A+ 模块结构规划
- 合规自查表
- 提交前后预览记录
- 上线前后转化率对比
- 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/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook 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 Dijiang Amazon Aplus Content Playbook 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 Dijiang Amazon Aplus Content Playbook this skillxjli360/sealeap-amazon-skills | 251 | — | ~744 | Automated safety check: Pass | MIT | |
| Evaluate Skillevery-app/open-seo | 23k | — | ~1.8k | Automated safety check: Notes | MIT | |
| Marketing PlanNexus-JPF/note-companion | 870 | 5 repos | ~5.2k | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| AI VisibilityRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~611 | Automated safety check: Pass | MIT | |
| Geo Scorejianruntech/geo-score | 582 | — | ~2.9k | Automated safety check: Pass | MIT |
Similar skills
Marketing Plan
Nexus-JPF/note-companion
When the user needs a comprehensive marketing plan for a client, a company they advise, or their own product.
SEO Dataforseo
AgriciDaniel/codex-seo
Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.
AI Visibility
Ryze-AI-Adgent/open-seo-mcp-skills
Measure real AI-engine visibility — traffic from ChatGPT, Perplexity, Claude, Gemini and which pages they cite — from actual GA4 referral data, not prompt sampling.
Geo Score
jianruntech/geo-score
Score a website's AI answer-engine visibility 0–100 against the open AIV rubric, and, with the user's own API keys, check and track through the OpenAI, Perplexity, Gemini and Anthropic APIs whether…
Product Research
liangdabiao/amazon-sorftime-research-MCP-skill
基于Sorftime MCP的深度选品调研。通过LLM Agent执行多维度分析：数据采集→属性标注→交叉分析→竞品VOC→壁垒评估→选品决策评估。交互式执行，输出Markdown报告和Dashboard看板。
More from xjli360/sealeap-amazon-skills
All 179 skills in this repoSealeap Amazon Acos Diagnostics
xjli360/sealeap-amazon-skills
Diagnose Amazon Ads ACOS with reconciled CTR, CPC, CVR, AOV, ROAS, TACOS, placement, search-term, benchmark, attribution, and contribution-margin evidence, then produce a single-variable…
Sealeap Amazon Ca Apparel Ads
xjli360/sealeap-amazon-skills
Diagnose and draft Amazon Canada apparel advertising plans with lifecycle and seasonal timing, English/French search coverage, account evidence, profitability guardrails, and approval-ready…
Sealeap Amazon Listing Optimizer
xjli360/sealeap-amazon-skills
Audit, diagnose, rewrite, creatively brief, test, and safely prepare updates for Amazon product detail pages using live marketplace and product-type requirements, verified product facts, Brand…
Sealeap Amazon Prime Day Planning
xjli360/sealeap-amazon-skills
Filter, interpret, and turn the authorized 2025 Amazon Prime Day advertising insight records into a qualified event plan without averaging incompatible slices or treating historical benchmarks as…
Sealeap Amazon Product Targeting
xjli360/sealeap-amazon-skills
Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, including audience expansion, competitor and category traffic, cross-sell…
Sealeap Amazon Acos Conversion Diagnostics
xjli360/sealeap-amazon-skills
Diagnose high Amazon Ads ACoS by decomposing CPC, conversion rate, price, query mix, placement mix, and sample sufficiency.
Related
Works with
Categories
Questions about Sealeap Dijiang Amazon Aplus Content Playbook
What does Sealeap Dijiang Amazon Aplus Content Playbook do?
Plan Amazon A+ Content around unresolved customer objections mined from reviews and Q&A, structure it into compliant modules that avoid prohibited claims, and route it through creation, preview, and…. Sealeap Dijiang Amazon Aplus Content Playbook is an agent skill from xjli360/sealeap-amazon-skills. Plan Amazon A+ Content around unresolved customer objections mined from reviews and Q&A, structure it into compliant modules that avoid prohibited claims, and route it through creation, preview, and resubmission until approved.
When should I use Sealeap Dijiang Amazon Aplus Content Playbook?
Sealeap Dijiang Amazon Aplus Content Playbook fits situations like: A+内容怎么做、A+图文结构、A+被拒怎么改、要不要做品牌旗舰店故事模块; add contact information; competitor references; guarantee claims that violate A+ content policy.
How do I install Sealeap Dijiang Amazon Aplus Content Playbook in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-aplus-content-playbook -a claude-code`. Or copy the skill folder (amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-dijiang-amazon-aplus-content-playbook in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Dijiang Amazon Aplus Content Playbook in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-aplus-content-playbook -a codex`. Or copy the skill folder (amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-aplus-content-playbook in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-dijiang-amazon-aplus-content-playbook in your project. Codex loads it when a task matches its description.
Can I use Sealeap Dijiang Amazon Aplus Content Playbook 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-dijiang-amazon-aplus-content-playbook -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-dijiang-amazon-aplus-content-playbook, .gemini/skills/sealeap-dijiang-amazon-aplus-content-playbook, .github/skills/sealeap-dijiang-amazon-aplus-content-playbook and .opencode/skills/sealeap-dijiang-amazon-aplus-content-playbook in your project.
What does Sealeap Dijiang Amazon Aplus Content Playbook need to run?
Going by SKILL.md and its folder, Sealeap Dijiang Amazon Aplus Content Playbook needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Dijiang Amazon Aplus Content Playbook 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 Dijiang Amazon Aplus Content Playbook 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 Dijiang Amazon Aplus Content Playbook use?
Sealeap Dijiang Amazon Aplus Content Playbook 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 Dijiang Amazon Aplus Content Playbook use?
About 744 tokens (SKILL.md is roughly 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 Dijiang Amazon Aplus Content Playbook?
Skills that share tags, products or a category with Sealeap Dijiang Amazon Aplus Content Playbook: Evaluate Skill (every-app/open-seo, 23k stars), Marketing Plan (Nexus-JPF/note-companion, 870 stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars) and AI Visibility (Ryze-AI-Adgent/open-seo-mcp-skills, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Dijiang Amazon Aplus Content Playbook?
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.