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.
平台无关的 Amazon Listing 主编排。基于用户或宿主已提供的商品事实、参考文案、关键词和评论证据，生成、改写、本地化或批量处理完整 Listing，并执行本地校验与定稿。
No licenceAuto-check passed
Install Listing Core
$ npx skills add infometa/workbuddyskills --skill listing-core -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills listing-core --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-core .claude/skills/listing-core && 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-core" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-core into .claude/skills/listing-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-core", 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-coreType 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-core -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills listing-core --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-core .agents/skills/listing-core && 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-core" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-core into .agents/skills/listing-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-core", 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-core -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills listing-core --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-core .cursor/skills/listing-core && 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-core" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-core into .cursor/skills/listing-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-core", 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-core--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-core -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills listing-core --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-core .gemini/skills/listing-core && 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-core" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-core into .gemini/skills/listing-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-core", 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-coreInstalls 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-core -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-core .github/skills/listing-core && 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-core" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-core into .github/skills/listing-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-core", 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-core -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-core --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-core .opencode/skills/listing-core && 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-core" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/linkfox-expert-amazon-listing-specialist/skills/listing-core into .opencode/skills/listing-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-core", 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
listing-core- GitHub stars
- 344
- Token cost
- ~560 tokens
- SKILL.md length
- 84 words
- Files
- 53 (incl. scripts, references)
- Skills in repo
- 212
- Repo updated
- First seen
- Licence
- None found
At a glance
平台无关的 Amazon Listing 主编排。基于用户或宿主已提供的商品事实、参考文案、关键词和评论证据，生成、改写、本地化或批量处理完整 Listing，并执行本地校验与定稿。
- Works in 6 steps: plan：创建 run manifest，记录模式、站点、语言和证据边界。 → ingest：载入本品事实、参考文本、关键词矩阵和可选评论证据。 → prepare-write：生成写作规格，明确字段限制、品牌边界和禁用词。 → …
- SKILL.md covers 模式, 最低输入, 流程 and 数据置信度, plus 2 more sections
- Runs Python scripts from its folder; calls python3
What it does
Listing Core is an agent skill from infometa/workbuddyskills. 平台无关的 Amazon Listing 主编排。基于用户或宿主已提供的商品事实、参考文案、关键词和评论证据，生成、改写、本地化或批量处理完整 Listing，并执行本地校验与定稿。
Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 55 other files, including scripts and reference files (for example `_meta.json`, `execution-contract.md` and `references/algorithm-writing-contract.md`).
The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
Example prompts
- “/listing-core”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- plan：创建 run manifest，记录模式、站点、语言和证据边界。
- ingest：载入本品事实、参考文本、关键词矩阵和可选评论证据。
- prepare-write：生成写作规格，明确字段限制、品牌边界和禁用词。
- 调用 listing-copy-suite-writer 生成 listing-draft.json。
- finish：运行 validate_fields.py、本地合规扫描和事实校验；失败时只返回需修字段。
- 校验通过后由 finalize_listing.py 输出 listing-final.json、listing-final.md、
What it can do on your machine
Read from SKILL.md and the folder at commit 75a5ad9. 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 3 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Listing Core loads about 560 tokens when it runs, and up to ~8.9k if it reads all its reference files. Until then it costs about 26 tokens; SKILL.md has 84 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 84 words (~560 tokens).
“这是完整 Listing 的唯一主编排。它不抓取外部数据、不连接店铺、不刊登、不上传文件，也不生成 特定平台的 UI 或 HTML。宿主负责把外部来源转换为本 Skill 可消费的文件或结构化输入。”
- name
- listing-core
Files
SKILL.md and 52 other files (scripts, references) in experts/linkfox-expert-amazon-listing-specialist/skills/listing-core of infometa/workbuddyskills.
- SKILL.md
- _meta.json
- execution-contract.md
- references/algorithm-writing-contract.md
- references/audit-rewrite-handoff.md
- references/batch-execution.md
- references/data-confidence-protocol.md
- references/evidence-cache-protocol.md
- references/interactive-checkpoint-protocol.md
- references/output-schema.md
- references/review-depth-policy.md
- references/steps/S1-data.md
- references/steps/S2-insight-keywords.md
- references/steps/S3-write-deliver.md
- references/ui-output-contract.md
- scripts/build_spec.py
- scripts/evidence_cache.py
- scripts/finalize_batch.py
- … and 35 more
Open the folder on GitHubat commit 75a5ad9
Compare with similar skills
Listing Core 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 Core this skillinfometa/workbuddyskills | 344 | — | ~560 | Automated safety check: Pass | None | |
| Amazon Listing Competitor Analysisbrowser-act/skills | 6.1k | 2 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Amazon Listing Optimizationnexscope-ai/Amazon-Skills | 736 | 2 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Amazon Listing Imagesnexscope-ai/Amazon-Skills | 736 | — | ~5.5k | Automated safety check: Pass | MIT | |
| Amazon Listing Builderliangdabiao/amazon-sorftime-research-MCP-skill | 946 | — | ~1.7k | Automated safety check: Pass | None | |
| Amazon International Listingsnexscope-ai/Amazon-Skills | 736 | — | ~467 | Automated safety check: Pass | MIT |
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Questions about Listing Core
What does Listing Core do?
平台无关的 Amazon Listing 主编排。基于用户或宿主已提供的商品事实、参考文案、关键词和评论证据，生成、改写、本地化或批量处理完整 Listing，并执行本地校验与定稿。. Listing Core is an agent skill from infometa/workbuddyskills.
How do I install Listing Core in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill listing-core -a claude-code`. Or copy the skill folder (experts/linkfox-expert-amazon-listing-specialist/skills/listing-core in infometa/workbuddyskills) into .claude/skills/listing-core in your project. Claude Code loads it when a task matches its description.
How do I install Listing Core in Codex?
Run `npx skills add infometa/workbuddyskills --skill listing-core -a codex`. Or copy the skill folder (experts/linkfox-expert-amazon-listing-specialist/skills/listing-core in infometa/workbuddyskills) into .agents/skills/listing-core in your project. Codex loads it when a task matches its description.
Can I use Listing Core 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 infometa/workbuddyskills --skill listing-core -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-core, .gemini/skills/listing-core, .github/skills/listing-core and .opencode/skills/listing-core in your project.
What does Listing Core need to run?
Going by SKILL.md and its folder, Listing Core needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Listing Core 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 Listing Core 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 Listing Core use?
No licence was found for Listing Core or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Listing Core use?
About 560 tokens (SKILL.md is roughly 2.2k 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 8.3k tokens, read only when the agent opens those files.
What are the alternatives to Listing Core?
Skills that share tags, products or a category with Listing Core: Amazon Listing Competitor Analysis (browser-act/skills, 6.1k stars), Amazon Listing Optimization (nexscope-ai/Amazon-Skills, 736 stars), Amazon Listing Images (nexscope-ai/Amazon-Skills, 736 stars) and Amazon Listing Builder (liangdabiao/amazon-sorftime-research-MCP-skill, 946 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Listing Core?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 344 GitHub stars. The repository holds 212 skills in this directory. The repository was last updated on October 7, 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.