Tw Manufacturing

What it does

When your agent uses it

• The user needs to understand Taiwans industrial landscape
• Evaluate manufacturing sector opportunities
• Assess supply chain positioning
• Contextualize Taiwan in global manufacturing — even if they say Taiwan manufacturing overview

Example prompts

• “Taiwan manufacturing overview”
• “semiconductor supply chain”
• “what does Taiwan make”
• “/tw-manufacturing”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

1. 1Global position: What share of global production? Indispensable or replaceable?
2. 2Value chain position: OEM (low margin) → ODM (medium) → OBM (high)
3. 3Key customers: Who are the major buyers? (Apple, NVIDIA, etc.)
4. 4Geopolitical risk: Cross-strait tensions, US-China decoupling impact
5. 5Talent pipeline: Engineering talent supply, brain drain concerns
6. 6ESG transition: Carbon reduction targets, RE100 commitments, circular economy

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

  Shell commands in SKILL.md call:

  • node

  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 Manufacturing loads about 1.1k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 123 tokens; SKILL.md has 325 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~123

When it runs · the whole SKILL.md, loaded when a task matches

~1.1k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~3.8k

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

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). 325 words, ~1,055 tokens.

name

tw-manufacturing

description

Analyze Taiwan's manufacturing industry structure including semiconductor, electronics, machinery, and petrochemical sectors. Use this skill when the user needs to understand Taiwan's industrial landscape, evaluate manufacturing sector opportunities, assess supply chain positioning, or contextualize Taiwan in global manufacturing — even if they say 'Taiwan manufacturing overview', 'semiconductor supply chain', 'what does Taiwan make', or 'industrial analysis of Taiwan'.

metadata.category

WP-12 產業知識

metadata.tags

industry, taiwan, manufacturing, semiconductor

IRON LAW: Taiwan Manufacturing = Global Supply Chain Chokepoint

Taiwan's manufacturing is NOT just domestic industry — it's a critical
node in global supply chains. TSMC alone produces ~90% of the world's
most advanced chips. Analyzing Taiwan manufacturing without the global
supply chain context misses the point entirely.

# Taiwan Manufacturing Sector Analysis: {Sector}

## Sector Overview
- Global position: {ranking, market share}
- Key players: {top 5 companies}
- Revenue: {NT$ scale}

## Value Chain Position
{Where Taiwan sits: upstream/midstream/downstream}

## Key Trends
1. {trend + impact}
2. {trend}

## Risks
| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|-----------|
| {risk} | H/M/L | H/M/L | {how addressed} |

## Opportunities
1. {opportunity for businesses}

© 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-manufacturing of asgard-ai-platform/skills.

• SKILL.md
• examples/sample_scenario.md
• references/semiconductor-chain.md

Open the folder on GitHubat commit 4e7f4f8