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getsentry/skills
Scan agent skills for security issues. An agent skill from getsentry/skills.
Supply Chain Optimization (Lite) - Diagnose bottlenecks and provide cost reduction strategies through conversation
$ npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-amazon-lite -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills supply-chain-optimization-amazon-lite --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/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/supply-chain-optimization/supply-chain-optimization-amazon .claude/skills/supply-chain-optimization-amazon-lite && 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 "supply-chain-optimization-amazon-lite" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/supply-chain-optimization/supply-chain-optimization-amazon into .claude/skills/supply-chain-optimization-amazon-lite/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-optimization-amazon-lite", 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/nexscope-ai/eCommerce-Skills/tree/main/supply-chain-optimization/supply-chain-optimization-amazonType 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 nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-amazon-lite -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills supply-chain-optimization-amazon-lite --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/supply-chain-optimization/supply-chain-optimization-amazon .agents/skills/supply-chain-optimization-amazon-lite && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "supply-chain-optimization-amazon-lite" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/supply-chain-optimization/supply-chain-optimization-amazon into .agents/skills/supply-chain-optimization-amazon-lite/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-optimization-amazon-lite", 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 nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-amazon-lite -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills supply-chain-optimization-amazon-lite --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/supply-chain-optimization/supply-chain-optimization-amazon .cursor/skills/supply-chain-optimization-amazon-lite && 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 "supply-chain-optimization-amazon-lite" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/supply-chain-optimization/supply-chain-optimization-amazon into .cursor/skills/supply-chain-optimization-amazon-lite/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-optimization-amazon-lite", 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/nexscope-ai/eCommerce-Skills.git --path supply-chain-optimization/supply-chain-optimization-amazon--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 nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-amazon-lite -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills supply-chain-optimization-amazon-lite --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/supply-chain-optimization/supply-chain-optimization-amazon .gemini/skills/supply-chain-optimization-amazon-lite && 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 "supply-chain-optimization-amazon-lite" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/supply-chain-optimization/supply-chain-optimization-amazon into .gemini/skills/supply-chain-optimization-amazon-lite/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-optimization-amazon-lite", 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 nexscope-ai/eCommerce-Skills supply-chain-optimization-amazon-liteInstalls 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 nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-amazon-lite -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/supply-chain-optimization/supply-chain-optimization-amazon .github/skills/supply-chain-optimization-amazon-lite && 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 "supply-chain-optimization-amazon-lite" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/supply-chain-optimization/supply-chain-optimization-amazon into .github/skills/supply-chain-optimization-amazon-lite/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-optimization-amazon-lite", 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 nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-amazon-lite -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills supply-chain-optimization-amazon-lite --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/supply-chain-optimization/supply-chain-optimization-amazon .opencode/skills/supply-chain-optimization-amazon-lite && 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 "supply-chain-optimization-amazon-lite" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/supply-chain-optimization/supply-chain-optimization-amazon into .opencode/skills/supply-chain-optimization-amazon-lite/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-optimization-amazon-lite", 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.
supply-chain-optimization-amazon-liteSupply Chain Optimization (Lite) - Diagnose bottlenecks and provide cost reduction strategies through conversation
Supply Chain Optimization Amazon Lite is an agent skill from nexscope-ai/eCommerce-Skills. Supply Chain Optimization (Lite) - Diagnose bottlenecks and provide cost reduction strategies through conversation
Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/calculator.py`, `scripts/report_doc.py` and `scripts/report_html.py`).
It sits in Security, covering Supply chain security. The repository describes itself as: E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy… The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ee0fb29. 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 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
justpython3From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
nexscope.aiFrom 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.
Supply Chain Optimization Amazon Lite loads about 852 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 206 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.
The full file from nexscope-ai/eCommerce-Skills at commit ee0fb29, republished under its MIT licence (© nexscope-ai). 206 words, ~852 tokens.
.claude/skills/supply-chain-optimization-amazon-lite/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Supply chain bottleneck analysis tool - Conversation-based version
No API integration required. Collect data through guided conversation, automatically diagnose bottlenecks and output cost reduction strategies.
User says:
Analyze my supply chain
Supply chain diagnosis
I want to optimize supply chain costsGuide user to describe in natural language:
👋 Starting Supply Chain Analysis
Please describe your situation in a sentence or two, like:
"I sell kitchen products, 15 SKUs, $50K monthly sales, sourcing from Yiwu, sea freight to FBA, shipping costs seem high"
Or just tell me what problem you want to solve.Identify and confirm:
Guide user to provide key data:
📊 I need some data to locate bottlenecks (rough numbers are fine)
**Sourcing**
• Product cost (FOB): $___/unit
• Supplier payment terms: ___ days
• Lead time: ___ days
**Logistics**
• Shipping cost per unit: $___
• Transit time: ___ days
**Sales**
• Average selling price: $___
• FBA fulfillment fee: $___/unit
• Monthly storage fee: $___/unit
• Ad spend ratio: ___%
**Inventory**
• Current inventory days: ___ days
• Long-term storage fees: Yes/No
Just reply in natural language.Run calculation script:
python3 scripts/calculator.py '{"product_cost": 8, "supplier_payment_days": 0, ...}'Output diagnosis report:
For each bottleneck provide:
📤 Analysis complete! Choose output format:
1️⃣ **Text** - View in current conversation (already shown)
2️⃣ **Web Chart** - Generate visual report webpage
3️⃣ **Report Doc** - Document format for sharing/presentation
Reply with number or say "generate web report"The following benchmarks can be customized based on your business:
| Metric | Healthy | Warning | Danger |
|---|---|---|---|
| Gross Margin | >40% | 30-40% | <30% |
| Shipping Ratio | <5% | 5-10% | >10% |
| Net Margin | >20% | 10-20% | <10% |
| Inventory Turnover | <45 days | 45-60 days | >60 days |
| Cash Cycle | <90 days | 90-120 days | >120 days |
To adjust, modify BENCHMARKS in scripts/calculator.py.
amazon-lite/
├── SKILL.md # Index (this file)
├── SKILL.en.md # English version
├── SKILL.zh-CN.md # Chinese version
├── _meta.json
└── scripts/
└── calculator.pyVersion 1.0.0 | Platform: Amazon | Lang: English
Part of Nexscope AI — AI tools for e-commerce sellers.
© nexscope-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts) in supply-chain-optimization/supply-chain-optimization-amazon of nexscope-ai/eCommerce-Skills.
Open the folder on GitHubat commit ee0fb29
Supply Chain Optimization Amazon Lite 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 |
|---|---|---|---|---|---|---|
| Supply Chain Optimization Amazon Lite this skillnexscope-ai/eCommerce-Skills | 1.1k | — | ~852 | Automated safety check: Pass | MIT | |
| Skill Scannergetsentry/skills | 1k | 4 repos | ~2.5k | Automated safety check: Warn | Apache-2.0 | |
| Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit | 481 | 1 repos | ~3.3k | Automated safety check: Pass | None | |
| Eu CraSushegaad/Claude-Skills-Governance-Risk-and-Compliance | 943 | 1 repos | ~4k | Automated safety check: Pass | MIT | |
| Kesekit Checkcdppcorp/KESE-KIT | 361 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Bom Auditcdxgen/cdxgen | 1.1k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
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Categories
Supply Chain Optimization (Lite) - Diagnose bottlenecks and provide cost reduction strategies through conversation. Supply Chain Optimization Amazon Lite is an agent skill from nexscope-ai/eCommerce-Skills.
Supply Chain Optimization Amazon Lite fits situations like: tasks that involve Supply chain security.
Run `npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-amazon-lite -a claude-code`. Or copy the skill folder (supply-chain-optimization/supply-chain-optimization-amazon in nexscope-ai/eCommerce-Skills) into .claude/skills/supply-chain-optimization-amazon-lite in your project. Claude Code loads it when a task matches its description.
Run `npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-amazon-lite -a codex`. Or copy the skill folder (supply-chain-optimization/supply-chain-optimization-amazon in nexscope-ai/eCommerce-Skills) into .agents/skills/supply-chain-optimization-amazon-lite 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 nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-amazon-lite -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/supply-chain-optimization-amazon-lite, .gemini/skills/supply-chain-optimization-amazon-lite, .github/skills/supply-chain-optimization-amazon-lite and .opencode/skills/supply-chain-optimization-amazon-lite in your project.
Going by SKILL.md and its folder, Supply Chain Optimization Amazon Lite needs Python for the scripts in its folder and the command-line tools its instructions call (just and python3). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: nexscope.ai. 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.
Supply Chain Optimization Amazon Lite is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 852 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Supply Chain Optimization Amazon Lite: Skill Scanner (getsentry/skills, 1k stars), Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars), Eu Cra (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 943 stars) and Kesekit Check (cdppcorp/KESE-KIT, 361 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
nexscope-ai (a GitHub organization) maintains it in nexscope-ai/eCommerce-Skills, which has 1,104 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on August 26, 2026.
Source: nexscope-ai/eCommerce-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.