Amazon Listing Competitor Analysis
browser-act/skills
Analyzes a competitor's Amazon listing by ASIN with BrowserAct data extraction, then reports what it does well, where the market has gaps and opportunity points for your own listing.
对已生成或已提供的 Amazon Listing 做证据化质量评分,输出统一 scorePanel、扣分证据和 AI 导购准备度,是唯一评分事实源。用户要求打分、质量报告、before/after 对比,或 listing-audit 需要基础质量分时触发。路由判断:只回答「多少分、差在哪个维度」用本 Skill;要回答「为什么没流量、为什么不转化」并给出改哪些字段和文案之外的运营动作用…
$ npx skills add infometa/workbuddyskills --skill listing-quality-scorer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills listing-quality-scorer --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer .claude/skills/listing-quality-scorer && 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 "listing-quality-scorer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer into .claude/skills/listing-quality-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-quality-scorer", 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/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorerType 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 infometa/workbuddyskills --skill listing-quality-scorer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills listing-quality-scorer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer .agents/skills/listing-quality-scorer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "listing-quality-scorer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer into .agents/skills/listing-quality-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-quality-scorer", 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 infometa/workbuddyskills --skill listing-quality-scorer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills listing-quality-scorer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer .cursor/skills/listing-quality-scorer && 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 "listing-quality-scorer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer into .cursor/skills/listing-quality-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-quality-scorer", 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/infometa/workbuddyskills.git --path experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer--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 infometa/workbuddyskills --skill listing-quality-scorer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills listing-quality-scorer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer .gemini/skills/listing-quality-scorer && 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 "listing-quality-scorer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer into .gemini/skills/listing-quality-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-quality-scorer", 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 infometa/workbuddyskills listing-quality-scorerInstalls 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 infometa/workbuddyskills --skill listing-quality-scorer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer .github/skills/listing-quality-scorer && 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 "listing-quality-scorer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer into .github/skills/listing-quality-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-quality-scorer", 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 infometa/workbuddyskills --skill listing-quality-scorer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills listing-quality-scorer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer .opencode/skills/listing-quality-scorer && 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 "listing-quality-scorer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer into .opencode/skills/listing-quality-scorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-quality-scorer", 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.
listing-quality-scorer对已生成或已提供的 Amazon Listing 做证据化质量评分,输出统一 scorePanel、扣分证据和 AI 导购准备度,是唯一评分事实源。用户要求打分、质量报告、before/after 对比,或 listing-audit 需要基础质量分时触发。路由判断:只回答「多少分、差在哪个维度」用本 Skill;要回答「为什么没流量、为什么不转化」并给出改哪些字段和文案之外的运营动作用…
Listing Quality Scorer is an agent skill from infometa/workbuddyskills. 对已生成或已提供的 Amazon Listing 做证据化质量评分,输出统一 scorePanel、扣分证据和 AI 导购准备度,是唯一评分事实源。用户要求打分、质量报告、before/after 对比,或 listing-audit 需要基础质量分时触发。路由判断:只回答「多少分、差在哪个维度」用本 Skill;要回答「为什么没流量、为什么不转化」并给出改哪些字段和文案之外的运营动作用 listing-audit;要产出新文案用 listing-core mode=rewrite。普通 listing-core 生成只跑本地基础质量门,不默认调用本 Skill。即使输入数据不完整也可输出 N/A 维度,但不得编造分数。
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `_meta.json`, `references/scoring-input-contract.md` and `references/scoring-rubric.md`).
The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 91b77ea. It shows what the files ask for, not the result of running them.
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.
Ships 6 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Listing Quality Scorer loads about 1k tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 224 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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 224 words (~1,008 tokens).
“本 Skill 是唯一评分事实源。listing-audit、独立评分报告和 before/after 对比必须复用本 Skill;其他 Skill 不得维护第二套权重、hard gate、grade 或 overall 算法。”
SKILL.md and 13 other files (scripts, references) in experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer of infometa/workbuddyskills.
Open the folder on GitHubat commit 91b77ea
Listing Quality Scorer 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 |
|---|---|---|---|---|---|---|
| Listing Quality Scorer this skillinfometa/workbuddyskills | 348 | — | ~1k | Automated safety check: Pass | None | |
| Amazon Listing Competitor Analysisbrowser-act/skills | 6.1k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Amazon Listing Optimizationnexscope-ai/Amazon-Skills | 744 | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Amazon Listing Imagesnexscope-ai/Amazon-Skills | 744 | — | ~5.5k | Automated safety check: Pass | MIT | |
| Amazon Listing Builderliangdabiao/amazon-sorftime-research-MCP-skill | 959 | — | ~1.7k | Automated safety check: Pass | None | |
| Amazon International Listingsnexscope-ai/Amazon-Skills | 744 | — | ~467 | Automated safety check: Pass | MIT |
browser-act/skills
Analyzes a competitor's Amazon listing by ASIN with BrowserAct data extraction, then reports what it does well, where the market has gaps and opportunity points for your own listing.
nexscope-ai/Amazon-Skills
Amazon listing builder and optimizer for sellers. An agent skill from nexscope-ai/Amazon-Skills.
nexscope-ai/Amazon-Skills
Amazon product listing image strategy and optimization. An agent skill from nexscope-ai/Amazon-Skills.
liangdabiao/amazon-sorftime-research-MCP-skill
亚马逊爆款 Listing 打造助手(基于 Cosmo 语义算法 + Alexa/Rufus 对话式购物趋势)。通过"先分析、再生成、最后校验"的 AI 工程化流程,把 Listing 从"关键词堆砌"升级为"语义覆盖 + 需求证据 + 答案型内容"。提供八步工作流(关键词分层词库 → 用户问题库 → 卖点证据库 → 标题 → 五点 → 描述A+ → Search Terms → QA)、给…
nexscope-ai/Amazon-Skills
Multi-marketplace listing management — translation, pricing localization, BIL (Build International Listings)
ruvnet/ruflo
List the account's saved music productions with metadata and audiourl
infometa/workbuddyskills
This skill should be used when planning, coordinating, running, or reviewing student-led campus events, including club recruitment, freshman mixers, welcome activities, small talks, competitions…
infometa/workbuddyskills
K-12 interactive courseware creation. An agent skill from infometa/workbuddyskills.
infometa/workbuddyskills
A skill your agent uses when the adult weight-management MCP needs to be installed/set up in WorkBuddy (connector) or its result must be rendered as a standalone Chinese HTML plan.
infometa/workbuddyskills
A skill your agent uses when the user needs browser automation, including opening web pages, taking screenshots, extracting page content, clicking elements, filling forms, or testing web flows.
infometa/workbuddyskills
定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报.
infometa/workbuddyskills
Investment banking presentation quality checker. An agent skill from infometa/workbuddyskills.
对已生成或已提供的 Amazon Listing 做证据化质量评分,输出统一 scorePanel、扣分证据和 AI 导购准备度,是唯一评分事实源。用户要求打分、质量报告、before/after 对比,或 listing-audit 需要基础质量分时触发。路由判断:只回答「多少分、差在哪个维度」用本 Skill;要回答「为什么没流量、为什么不转化」并给出改哪些字段和文案之外的运营动作用…. Listing Quality Scorer is an agent skill from infometa/workbuddyskills.
Run `npx skills add infometa/workbuddyskills --skill listing-quality-scorer -a claude-code`. Or copy the skill folder (experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer in infometa/workbuddyskills) into .claude/skills/listing-quality-scorer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add infometa/workbuddyskills --skill listing-quality-scorer -a codex`. Or copy the skill folder (experts/linkfox-expert-amazon-listing-specialist/skills/listing-quality-scorer in infometa/workbuddyskills) into .agents/skills/listing-quality-scorer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add infometa/workbuddyskills --skill listing-quality-scorer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/listing-quality-scorer, .gemini/skills/listing-quality-scorer, .github/skills/listing-quality-scorer and .opencode/skills/listing-quality-scorer in your project.
Going by SKILL.md and its folder, Listing Quality Scorer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
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.
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.
No licence was found for Listing Quality Scorer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1k tokens (SKILL.md is roughly 4k 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 5.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Listing Quality Scorer: Amazon Listing Competitor Analysis (browser-act/skills, 6.1k stars), Amazon Listing Optimization (nexscope-ai/Amazon-Skills, 744 stars), Amazon Listing Images (nexscope-ai/Amazon-Skills, 744 stars) and Amazon Listing Builder (liangdabiao/amazon-sorftime-research-MCP-skill, 959 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 348 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 9, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.