Amazon Buy Box Monitor
browser-act/skills
Pulls Amazon product details, competing seller prices and seller ratings for a given ASIN through the BrowserAct API, without browser automation.
Analyze Taiwan's retail industry including convenience stores, department stores, supermarkets, hypermarkets, and e-commerce with omnichannel trends.
Install Tw Retail Landscape
$ npx skills add asgard-ai-platform/skills --skill tw-retail-landscape -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills tw-retail-landscape --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tw-retail-landscape .claude/skills/tw-retail-landscape && 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 "tw-retail-landscape" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/tw-retail-landscape into .claude/skills/tw-retail-landscape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-retail-landscape", 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/asgard-ai-platform/skills/tree/main/tw-retail-landscapeType 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 asgard-ai-platform/skills --skill tw-retail-landscape -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills tw-retail-landscape --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tw-retail-landscape .agents/skills/tw-retail-landscape && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tw-retail-landscape" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/tw-retail-landscape into .agents/skills/tw-retail-landscape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-retail-landscape", 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 asgard-ai-platform/skills --skill tw-retail-landscape -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills tw-retail-landscape --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tw-retail-landscape .cursor/skills/tw-retail-landscape && 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 "tw-retail-landscape" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/tw-retail-landscape into .cursor/skills/tw-retail-landscape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-retail-landscape", 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/asgard-ai-platform/skills.git --path tw-retail-landscape--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 asgard-ai-platform/skills --skill tw-retail-landscape -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills tw-retail-landscape --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tw-retail-landscape .gemini/skills/tw-retail-landscape && 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 "tw-retail-landscape" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/tw-retail-landscape into .gemini/skills/tw-retail-landscape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-retail-landscape", 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 asgard-ai-platform/skills tw-retail-landscapeInstalls 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 asgard-ai-platform/skills --skill tw-retail-landscape -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/tw-retail-landscape .github/skills/tw-retail-landscape && 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 "tw-retail-landscape" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/tw-retail-landscape into .github/skills/tw-retail-landscape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-retail-landscape", 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 asgard-ai-platform/skills --skill tw-retail-landscape -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills tw-retail-landscape --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tw-retail-landscape .opencode/skills/tw-retail-landscape && 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 "tw-retail-landscape" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/tw-retail-landscape into .opencode/skills/tw-retail-landscape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-retail-landscape", 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
tw-retail-landscape- GitHub stars
- 242
- Token cost
- ~1.2k tokens
- SKILL.md length
- 391 words
- Files
- 3 (incl. references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze Taiwan's retail industry including convenience stores, department stores, supermarkets, hypermarkets, and e-commerce with omnichannel trends.
- The user needs to understand Taiwans unique retail ecosystem
- SKILL.md covers Framework, Output Format, Gotchas and References
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Plan a retail strategy for Taiwan
What it does
Tw Retail Landscape is an agent skill from asgard-ai-platform/skills. Analyze Taiwan's retail industry including convenience stores, department stores, supermarkets, hypermarkets, and e-commerce with omnichannel trends. Use this skill when the user needs to understand Taiwan's unique retail ecosystem, plan a retail strategy for Taiwan, or evaluate retail channels — even if they say 'how does retail work in Taiwan', 'convenience store strategy', 'Taiwan omnichannel', or 'where should we sell in Taiwan'.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `examples/sample_scenario.md` and `references/tw-ecom-platforms.md`).
It sits in Sales & Support, covering E-commerce operations. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to understand Taiwans unique retail ecosystem
- Plan a retail strategy for Taiwan
- Evaluate retail channels — even if they say how does retail work in Taiwan
- Convenience store strategy
Example prompts
- “how does retail work in Taiwan”
- “convenience store strategy”
- “Taiwan omnichannel”
- “/tw-retail-landscape”
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. 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 (its code samples are markdown).
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
Tw Retail Landscape loads about 1.2k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 391 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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 391 words, ~1,225 tokens.
Download SKILL.mdSave it as
.claude/skills/tw-retail-landscape/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- tw-retail-landscape
- description
- Analyze Taiwan's retail industry including convenience stores, department stores, supermarkets, hypermarkets, and e-commerce with omnichannel trends. Use this skill when the user needs to understand Taiwan's unique retail ecosystem, plan a retail strategy for Taiwan, or evaluate retail channels — even if they say 'how does retail work in Taiwan', 'convenience store strategy', 'Taiwan omnichannel', or 'where should we sell in Taiwan'.
- metadata.category
- WP-12 產業知識
- metadata.tags
- industry, taiwan, retail, omnichannel
Taiwan Retail Landscape
Framework
IRON LAW: Convenience Stores Are Taiwan's Retail Infrastructure
Taiwan has the world's second-highest convenience store density (~13,000
stores for 23M people = 1 per ~1,800 people). CVS is not just retail —
it's logistics (pickup), payment (bill pay), food service, and daily life
infrastructure. ANY retail strategy in Taiwan must account for CVS as
a channel, competitor, AND partner.Taiwan Retail Channels
| Channel | Key Players | Revenue | Characteristics |
|---|---|---|---|
| Convenience store | 7-ELEVEN (~6,800), FamilyMart (~4,000), Hi-Life (~1,500) | ~NT$350B | Highest density globally, 24/7, integrated services |
| Department store | Shin Kong Mitsukoshi, Breeze, Sogo, Far Eastern | ~NT$350B | High-end, strong in Taipei, seasonal sales events |
| Supermarket | PX Mart (全聯), Carrefour, Simple Mart | ~NT$200B | PX Mart dominates (~1,100 stores), price-competitive |
| Hypermarket | Costco, Carrefour, RT-Mart | ~NT$150B | Costco is a phenomenon in Taiwan (membership model) |
| E-commerce | Shopee, momo, PChome, Rakuten | ~NT$500B+ | Growing 15-20% YoY, mobile-first |
| Social commerce | LINE Shopping, IG, FB groups | ~NT$50B+ | Growing fast, esp. live commerce |
Unique Taiwan Retail Phenomena
| Phenomenon | What It Is | Why It Matters |
|---|---|---|
| 全聯 (PX Mart) dominance | From military commissary to #1 supermarket in 20 years | Shows power of price positioning + rapid expansion |
| Costco worship | Costco Taiwan has highest revenue/sqft globally | Taiwanese consumers love membership value + bulk buying |
| CVS as everything store | Pay bills, pick up packages, print docs, buy concert tickets | CVS is a platform, not just a retailer |
| 超商取貨 (CVS pickup) | ~30% of e-commerce deliveries go to CVS | Critical last-mile solution — builds into any e-commerce strategy |
| 百貨週年慶 | Department store anniversary sales drive 20-30% of annual revenue | Concentrated buying periods, must-participate for brands |
| 團購 (group buying) | Office group orders, community group buying | Unique social commerce model, especially for food |
Show full SKILL.md (179 more words)Show less
OMO (Online-Merge-Offline) Trends
| Trend | Description | Example |
|---|---|---|
| Click and collect | Buy online, pick up in store/CVS | momo × 7-ELEVEN |
| Store-to-door | Order from store inventory, deliver to home | PX Mart delivery |
| Membership integration | Single membership across online/offline | Uni-President points ecosystem |
| Live commerce | Live streaming + instant purchase | Shopee Live, FB Live selling |
| Cashierless stores | AI/sensor-based checkout | 7-ELEVEN X-STORE |
Output Format
# Taiwan Retail Strategy: {Brand/Product}
## Channel Assessment
| Channel | Fit | Rationale | Priority |
|---------|-----|-----------|---------|
| CVS | H/M/L | {why} | 1/2/3 |
| Supermarket | H/M/L | ... | ... |
| Department | H/M/L | ... | ... |
| E-commerce | H/M/L | ... | ... |
## Recommended Channel Mix
- Primary: {channel} — {why}
- Secondary: {channel}
- OMO integration: {how online and offline connect}
## Key Partnerships
| Partner | Type | Value |
|---------|------|-------|
| {retailer} | {distribution/marketing/logistics} | {what they provide} |Gotchas
- PX Mart negotiating power: With ~1,100 stores and dominant market share, PX Mart has enormous buyer power. Listing fees, promotional requirements, and margin expectations are aggressive.
- CVS shelf space is tiny: A convenience store carries 2,000-3,000 SKUs in ~30 ping of space. Getting shelf space is extremely competitive. New products get 2-4 weeks to prove sales, then get cut.
- Seasonality is concentrated: Department store anniversary sales (百貨週年慶, Sep-Nov), 雙11, Chinese New Year, and Mother's Day account for a disproportionate share of annual retail revenue. Plan inventory and marketing accordingly.
- E-commerce logistics expectation: Taiwan consumers expect same-day or next-day delivery. Anything longer feels slow. Free shipping threshold battles continue (momo raised then lowered multiple times).
References
- For Taiwan e-commerce platform comparison, see
references/tw-ecom-platforms.md
© asgard-ai-platform, 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 2 other files (references) in tw-retail-landscape of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_scenario.md
- references/tw-ecom-platforms.md
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Tw Retail Landscape 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 |
|---|---|---|---|---|---|---|
| Tw Retail Landscape this skillasgard-ai-platform/skills | 242 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Amazon Buy Box Monitorbrowser-act/skills | 6.1k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Tourmind Bookingtourmind-com/Tourmind-Booking-Skills | 1.8k | — | ~13k | Automated safety check: Pass | MIT | |
| Ecommerce Image Suitewzj177/ecommerce-image-suite | 449 | — | ~10k | Automated safety check: Pass | Apache-2.0 | |
| Zach Feature Demand Validatorzach22-1999/amazon-skills | 209 | 1 repos | ~2.3k | Automated safety check: Notes | MIT | |
| Caramel CouponsDevinoSolutions/caramel | 141 | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 |
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Related
Categories
Questions about Tw Retail Landscape
What does Tw Retail Landscape do?
Analyze Taiwan's retail industry including convenience stores, department stores, supermarkets, hypermarkets, and e-commerce with omnichannel trends. Tw Retail Landscape is an agent skill from asgard-ai-platform/skills. Analyze Taiwan's retail industry including convenience stores, department stores, supermarkets, hypermarkets, and e-commerce with omnichannel trends.
When should I use Tw Retail Landscape?
Tw Retail Landscape fits situations like: the user needs to understand Taiwans unique retail ecosystem; plan a retail strategy for Taiwan; evaluate retail channels — even if they say how does retail work in Taiwan; convenience store strategy.
How do I install Tw Retail Landscape in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill tw-retail-landscape -a claude-code`. Or copy the skill folder (tw-retail-landscape in asgard-ai-platform/skills) into .claude/skills/tw-retail-landscape in your project. Claude Code loads it when a task matches its description.
How do I install Tw Retail Landscape in Codex?
Run `npx skills add asgard-ai-platform/skills --skill tw-retail-landscape -a codex`. Or copy the skill folder (tw-retail-landscape in asgard-ai-platform/skills) into .agents/skills/tw-retail-landscape in your project. Codex loads it when a task matches its description.
Can I use Tw Retail Landscape 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 asgard-ai-platform/skills --skill tw-retail-landscape -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tw-retail-landscape, .gemini/skills/tw-retail-landscape, .github/skills/tw-retail-landscape and .opencode/skills/tw-retail-landscape in your project.
What does Tw Retail Landscape need to run?
SKILL.md names no scripts, command-line tools or credentials: Tw Retail Landscape is instructions for the agent only.
Does Tw Retail Landscape 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 Tw Retail Landscape 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 Tw Retail Landscape use?
Tw Retail Landscape 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 Tw Retail Landscape use?
About 1.2k tokens (SKILL.md is roughly 4.9k 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 3.4k tokens, read only when the agent opens those files.
What are the alternatives to Tw Retail Landscape?
Skills that share tags, products or a category with Tw Retail Landscape: Amazon Buy Box Monitor (browser-act/skills, 6.1k stars), Tourmind Booking (tourmind-com/Tourmind-Booking-Skills, 1.8k stars), Ecommerce Image Suite (wzj177/ecommerce-image-suite, 449 stars) and Zach Feature Demand Validator (zach22-1999/amazon-skills, 209 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tw Retail Landscape?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.