Install the "ecomseer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ecomseer into .claude/skills/ecomseer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecomseer", 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.
Type 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.
skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill ecomseer -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "ecomseer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ecomseer into .agents/skills/ecomseer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecomseer", 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.
skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill ecomseer -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "ecomseer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ecomseer into .cursor/skills/ecomseer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecomseer", 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.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill ecomseer -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "ecomseer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ecomseer into .gemini/skills/ecomseer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecomseer", 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.
Installs 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).
skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill ecomseer -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "ecomseer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ecomseer into .github/skills/ecomseer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecomseer", 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.
skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill ecomseer -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "ecomseer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ecomseer into .opencode/skills/ecomseer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecomseer", 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
ecomseer
GitHub stars
2.2k
Used in
1 other repo
Token cost
~4.1k tokens
SKILL.md length
1,751 words
Files
10 (incl. references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT
At a glance
TikTok Shop e-commerce data assistant. An agent skill from LeoYeAI/openclaw-master-skills.
Works in 7 steps: Check API Key → 5: Complexity Classification — 复杂度分类 → Route — Classify Intent & Load Reference → …
Tasks that involve Influencer and creator marketing
SKILL.md covers Language Handling / 语言适配, API Access, Interaction Flow and Output Guidelines, plus 1 more section
Calls curl; reaches ecomseer.com and deepresearch.ecomseer.com; needs ECOMSEER_API_KEY
What it does
Ecomseer is an agent skill from LeoYeAI/openclaw-master-skills. TikTok Shop e-commerce data assistant. Search products, find trending items, analyze influencers, explore shops, track video performance, and get ad insights via ecomseer.com. Triggers: 找商品, 搜商品, 爆品, 带货, TikTok电商, 达人分析, 视频带货, 店铺分析, 广告素材, 销量榜, 跨境电商, search products, find trending, TikTok Shop, influencer analysis, shop data, ad creatives, sales ranking, e-commerce analytics, product research.
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `README.md`, `README_CN.md` and `_meta.json`).
It sits in Sales & Support, covering Influencer and creator marketing, E-commerce operations and Paid advertising. It works with TikTok. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
When your agent uses it
Tasks that involve Influencer and creator marketing
Tasks that involve E-commerce operations
Tasks that involve Paid advertising
Example prompts
“/ecomseer”
Requirements
A credential in ECOMSEER_API_KEY
Workflow steps
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. 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
Shell commands in SKILL.md call:
curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
ecomseer.com
deepresearch.ecomseer.com
pub-a760a2c961554a558faba40a40ac9e08.r2.dev
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
ECOMSEER_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ecomseer loads about 4.1k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 1,751 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~101
When it runs· the whole SKILL.md, loaded when a task matches
~4.1k
With references· SKILL.md plus every file in references/, read only if the agent opens them
~12k
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: warnings
The automated check found patterns that need a careful read before installing.
WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:288
cute all planned queries autonomously — do not ask for confirmation on each sub-query.
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.
Download SKILL.mdSave it as .claude/skills/ecomseer/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
ecomseer
description
TikTok Shop e-commerce data assistant. Search products, find trending items, analyze influencers, explore shops, track video performance, and get ad insights via ecomseer.com. Triggers: 找商品, 搜商品, 爆品, 带货, TikTok电商, 达人分析, 视频带货, 店铺分析, 广告素材, 销量榜, 跨境电商, search products, find trending, TikTok Shop, influencer analysis, shop data, ad creatives, sales ranking, e-commerce analytics, product research.
EcomSeer — TikTok Shop Intelligence Assistant
You are a TikTok Shop e-commerce data analyst assistant. Help users search products, discover trending items, analyze influencers, explore shops, track video performance, and understand ad strategies — all via the EcomSeer API.
Language Handling / 语言适配
Detect the user's language from their first message and maintain it throughout the conversation.
User language
Response language
Number format
Example output
中文
中文
万/亿 (e.g. 1.2亿)
"共找到 5,000 条商品"
English
English
K/M/B (e.g. 120M)
"Found 5,000 products"
Rules:
All text output (summaries, analysis, table headers, insights, follow-up hints) must match the detected language.
Field name presentation:
Chinese → use Chinese labels: 商品名称, 销量, 销售额, 达人数, 评分
English → use English labels: Product Name, Sales, Revenue, Influencers, Rating
Error messages must also match: "未找到数据" vs "No data found".
If the user switches language mid-conversation, follow the new language from that point on.
API Access
Base URL: https://www.ecomseer.com
Auth header: X-API-Key: $ECOMSEER_API_KEY
Step 2 — Poll until done (use this exact script, do NOT modify):
Run this exact command, only replacing {task_id}:
bash
while true; do r=$(curl -s "https://deepresearch.ecomseer.com/research/{task_id}" -H "Authorization: Bearer test-local-token-2026"); s=$(echo "$r" | grep -o '"status":"[^"]*"' | head -1 | cut -d'"' -f4); echo "status=$s"; if [ "$s" = "completed" ] || [ "$s" = "failed" ]; then echo "$r"; break; fi; sleep 15; done
This script polls every 15 seconds and exits only when the task is done. It may take 1-5 minutes. Do NOT interrupt it, do NOT add a loop limit, do NOT abandon it.
Step 3 — Format and reply to the user with the framework's report.
CRITICAL RULES:
Do NOT send [[reply_to_current]] before Step 2 completes — it will stop execution.
NEVER fall back to manual analysis. The framework WILL complete — just wait for it.
NEVER write your own polling loop. Use the exact script above.
If Step 1 returns an error with "code": "api_key_required": The user's API key is missing or not configured. Output the same API key setup instructions from the "Check API Key" section above and stop.
If the framework is unreachable (connection refused/timeout on Step 1): Fall back to the existing routing logic (Step 2 → route by intent).
Show full SKILL.md (763 more words)Show less
Step 2: Route — Classify Intent & Load Reference
Read the user's request and classify into one of these intent groups. Then read only the reference file(s) needed before executing.
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in LeoYeAI/openclaw-master-skills, which our catalogue first saw on October 9, 2026.
Ecomseer 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.
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TikTok Shop e-commerce data assistant. An agent skill from LeoYeAI/openclaw-master-skills. Ecomseer is an agent skill from LeoYeAI/openclaw-master-skills. TikTok Shop e-commerce data assistant.
When should I use Ecomseer?
Ecomseer fits situations like: tasks that involve Influencer and creator marketing; tasks that involve E-commerce operations; tasks that involve Paid advertising.
How do I install Ecomseer in Claude Code?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ecomseer -a claude-code`. Or copy the skill folder (skills/ecomseer in LeoYeAI/openclaw-master-skills) into .claude/skills/ecomseer in your project. Claude Code loads it when a task matches its description.
How do I install Ecomseer in Codex?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ecomseer -a codex`. Or copy the skill folder (skills/ecomseer in LeoYeAI/openclaw-master-skills) into .agents/skills/ecomseer in your project. Codex loads it when a task matches its description.
Can I use Ecomseer 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 LeoYeAI/openclaw-master-skills --skill ecomseer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ecomseer, .gemini/skills/ecomseer, .github/skills/ecomseer and .opencode/skills/ecomseer in your project.
What does Ecomseer need to run?
Going by SKILL.md and its folder, Ecomseer needs the command-line tools its instructions call (curl) and credentials named ECOMSEER_API_KEY. Our summary lists: A credential in ECOMSEER_API_KEY.
Does Ecomseer access the network?
SKILL.md names 3 domains. In commands or code: ecomseer.com, deepresearch.ecomseer.com and pub-a760a2c961554a558faba40a40ac9e08.r2.dev; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Ecomseer safe to install?
Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.
What licence does Ecomseer use?
Ecomseer 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 Ecomseer use?
About 4.1k tokens (SKILL.md is roughly 16k 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 8.2k tokens, read only when the agent opens those files.
What are the alternatives to Ecomseer?
Skills that share tags, products or a category with Ecomseer: Linkfox Echotik List Product (linkfox-ai/linkfox-skills, 107 stars), 21 Ads Audit Global (minhnv0807/ai-business-skills, 609 stars), Higgsfield Content Factory (DaanKieft/ai-influencer, 116 stars) and Create Content Campaign (openvetta/open-vetta, 290 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ecomseer?
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.