Linkfoxagent
LeoYeAI/openclaw-master-skills
Cross-border e-commerce AI Agent with 41 specialized tools for Amazon/TikTok/eBay/Walmart product research, competitor analysis, keyword tracking, review insights, patent detection, trend analysis…
This skill generates effective search keywords based on parsed product criteria.
Install Webshop Search Formulator
$ npx skills add zjunlp/SkillNet --skill webshop-search-formulator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zjunlp/SkillNet webshop-search-formulator --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/zjunlp/SkillNet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-search-formulator .claude/skills/webshop-search-formulator && 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 "webshop-search-formulator" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-search-formulator into .claude/skills/webshop-search-formulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-search-formulator", 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/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-search-formulatorType 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 zjunlp/SkillNet --skill webshop-search-formulator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zjunlp/SkillNet webshop-search-formulator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-search-formulator .agents/skills/webshop-search-formulator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "webshop-search-formulator" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-search-formulator into .agents/skills/webshop-search-formulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-search-formulator", 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 zjunlp/SkillNet --skill webshop-search-formulator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zjunlp/SkillNet webshop-search-formulator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-search-formulator .cursor/skills/webshop-search-formulator && 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 "webshop-search-formulator" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-search-formulator into .cursor/skills/webshop-search-formulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-search-formulator", 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/zjunlp/SkillNet.git --path experiments/src/skills/webshop/webshop-search-formulator--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 zjunlp/SkillNet --skill webshop-search-formulator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zjunlp/SkillNet webshop-search-formulator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-search-formulator .gemini/skills/webshop-search-formulator && 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 "webshop-search-formulator" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-search-formulator into .gemini/skills/webshop-search-formulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-search-formulator", 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 zjunlp/SkillNet webshop-search-formulatorInstalls 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 zjunlp/SkillNet --skill webshop-search-formulator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .github/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-search-formulator .github/skills/webshop-search-formulator && 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 "webshop-search-formulator" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-search-formulator into .github/skills/webshop-search-formulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-search-formulator", 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 zjunlp/SkillNet --skill webshop-search-formulator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zjunlp/SkillNet webshop-search-formulator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-search-formulator .opencode/skills/webshop-search-formulator && 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 "webshop-search-formulator" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-search-formulator into .opencode/skills/webshop-search-formulator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-search-formulator", 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
webshop-search-formulator- GitHub stars
- 1.4k
- Token cost
- ~677 tokens
- SKILL.md length
- 311 words
- Files
- 2 (incl. references)
- Skills in repo
- 122
- Repo updated
- First seen
- Licence
- MIT
At a glance
This skill generates effective search keywords based on parsed product criteria.
- Works in 3 steps: Input: You receive a parsed query… → Process: Analyze the attributes to… → Output: Generate a single,…
- Tasks that involve Intellectual property
- SKILL.md covers Purpose, Core Workflow, Key Principles for Search… and Example from Trajectory, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Webshop Search Formulator is an agent skill from zjunlp/SkillNet. This skill generates effective search keywords based on parsed product criteria. It is triggered after query parsing, when the agent needs to perform an initial product search on an e-commerce platform. The skill takes structured attributes (e.g., 'women's size 5 patent-beige high heel') and produces a concise, platform-appropriate search string designed to return relevant results, balancing specificity with recall.
Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/search_strategy_guide.md`).
It sits in Legal & Compliance, covering Intellectual property and E-commerce operations. The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.
When your agent uses it
- Tasks that involve Intellectual property
- Tasks that involve E-commerce operations
Example prompts
- “s size 5 patent-beige high heel”
- “/webshop-search-formulator”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Input: You receive a parsed query containing key product attributes (e.g., category, type, size, color, material, price limit).
- Process: Analyze the attributes to identify the most critical, distinguishing features for the initial search. Prioritize attributes that…
- Output: Generate a single, well-formatted search[keywords] action string.
What it can do on your machine
Read from SKILL.md and the folder at commit c527136. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Webshop Search Formulator loads about 677 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 111 tokens; SKILL.md has 311 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from zjunlp/SkillNet at commit c527136, republished under its MIT licence (© zjunlp). 311 words, ~677 tokens.
Download SKILL.mdSave it as
.claude/skills/webshop-search-formulator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- webshop-search-formulator
- description
- This skill generates effective search keywords based on parsed product criteria. It is triggered after query parsing, when the agent needs to perform an initial product search on an e-commerce platform. The skill takes structured attributes (e.g., 'women's size 5 patent-beige high heel') and produces a concise, platform-appropriate search string designed to return relevant results, balancing specificity with recall.
Skill: Webshop Search Formulator
Purpose
You are an expert at formulating the initial search query for an e-commerce product search. Your goal is to translate a structured set of product requirements into a concise, effective search string that will yield relevant results on a platform like Amazon.
Core Workflow
- Input: You receive a parsed query containing key product attributes (e.g., category, type, size, color, material, price limit).
- Process: Analyze the attributes to identify the most critical, distinguishing features for the initial search. Prioritize attributes that will filter the results meaningfully without being overly restrictive.
- Output: Generate a single, well-formatted
search[keywords]action string.
Key Principles for Search Formulation
- Balance Specificity & Recall: Start with a moderately specific query. Including 2-3 core attributes (e.g.,
size 5 patent-beige high heel) is better than a single generic term (high heel) or an overly long list of all attributes. - Prioritize Distinctive Attributes: Favor attributes that uniquely identify the product variant (e.g., "patent-beige", "size 5") over very common ones (e.g., "women's") in the initial search.
- Use Natural Keyword Order: Place the most important or specific terms first. Mimic how a user might type the query.
- Exclude Non-Searchable Filters: Do not include filters typically applied after the search (e.g., price ranges like
< $90) in the initial keyword string. These are for later refinement. - Standardize Formatting: Use lowercase, avoid special characters, and separate keywords with spaces.
Example from Trajectory
Parsed Instruction: woman's us size 5 high heel shoe with a rubber sole and color patent-beige, and price lower than 90.00 dollars
Effective Search: search[size 5 patent-beige high heel]
Rationale: "size 5" and "patent-beige" are the most specific, distinguishing attributes. "high heel" defines the product type. "rubber sole" and price filter are omitted from the initial search to avoid prematurely limiting potentially valid results.
Action Format
Your final output must be a single action in the exact format:
© zjunlp, 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 1 other file (references) in experiments/src/skills/webshop/webshop-search-formulator of zjunlp/SkillNet.
- SKILL.md
- references/search_strategy_guide.md
Open the folder on GitHubat commit c527136
Compare with similar skills
Webshop Search Formulator 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 |
|---|---|---|---|---|---|---|
| Webshop Search Formulator this skillzjunlp/SkillNet | 1.4k | — | ~677 | Automated safety check: Pass | MIT | |
| LinkfoxagentLeoYeAI/openclaw-master-skills | 2.2k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Tcf V2 Implementationmukul975/Privacy-Data-Protection-Skills | 301 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Sealeap Chongming Amazon Seller Storefront Lead Miningxjli360/sealeap-amazon-skills | 251 | — | ~851 | Automated safety check: Pass | MIT | |
| Paper to Chinese Patent DrafterYuan1z0825/nature-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill | 107 | 1 repos | ~959 | Automated safety check: Pass | None |
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Related
Categories
Questions about Webshop Search Formulator
What does Webshop Search Formulator do?
This skill generates effective search keywords based on parsed product criteria. Webshop Search Formulator is an agent skill from zjunlp/SkillNet. This skill generates effective search keywords based on parsed product criteria.
When should I use Webshop Search Formulator?
Webshop Search Formulator fits situations like: tasks that involve Intellectual property; tasks that involve E-commerce operations.
How do I install Webshop Search Formulator in Claude Code?
Run `npx skills add zjunlp/SkillNet --skill webshop-search-formulator -a claude-code`. Or copy the skill folder (experiments/src/skills/webshop/webshop-search-formulator in zjunlp/SkillNet) into .claude/skills/webshop-search-formulator in your project. Claude Code loads it when a task matches its description.
How do I install Webshop Search Formulator in Codex?
Run `npx skills add zjunlp/SkillNet --skill webshop-search-formulator -a codex`. Or copy the skill folder (experiments/src/skills/webshop/webshop-search-formulator in zjunlp/SkillNet) into .agents/skills/webshop-search-formulator in your project. Codex loads it when a task matches its description.
Can I use Webshop Search Formulator 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 zjunlp/SkillNet --skill webshop-search-formulator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/webshop-search-formulator, .gemini/skills/webshop-search-formulator, .github/skills/webshop-search-formulator and .opencode/skills/webshop-search-formulator in your project.
What does Webshop Search Formulator need to run?
SKILL.md names no scripts, command-line tools or credentials: Webshop Search Formulator is instructions for the agent only.
Does Webshop Search Formulator 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 Webshop Search Formulator 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. Review the folder before installing.
What licence does Webshop Search Formulator use?
Webshop Search Formulator 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 Webshop Search Formulator use?
About 677 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 684 tokens, read only when the agent opens those files.
What are the alternatives to Webshop Search Formulator?
Skills that share tags, products or a category with Webshop Search Formulator: Linkfoxagent (LeoYeAI/openclaw-master-skills, 2.2k stars), Tcf V2 Implementation (mukul975/Privacy-Data-Protection-Skills, 301 stars), Sealeap Chongming Amazon Seller Storefront Lead Mining (xjli360/sealeap-amazon-skills, 251 stars) and Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Webshop Search Formulator?
zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,397 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 9, 2026.
Source: zjunlp/SkillNet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.