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ray5273ray5273/kr-research-kit/skills/kr-sector-data-pack/SKILL.md

kr-sector-data-pack

Skill2 starsChanged 8 days agoMITView on GitHub

Gather structured fact packs for Korea-focused sector and industry research. Use when the user needs market definition, source-dated market metrics, policy events, regulation changes, value-chain maps, listed-company candidates, or a clean source pack before writing a Korean sector report. Do not use for the final narrative report itself.

The file

We split this skill into the rules it gives an agent

12 rules. About 0 are common, 11 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈11

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill to assemble the inputs that a downstream sector report needs.

    line 8
  2. Distinctive:

    Treat market size, growth rates, policy calendars, regulations, and company facts as time-sensitive.

    line 12
  3. Distinctive:

    Prefer official and primary sources first: ministries, KOSIS, Bank of Korea, industry institutes, associations, KRX, DART, and company IR.

    line 13
  4. Distinctive:

    Keep the output structured.

    line 14
  5. Very specific:

    If the workspace is writable, write the pack to analysis-example/kr-sector/<sector>-data-pack.md when the user asked for a reusable …

    line 15
  6. Distinctive:

    Start from the agreed sector definition and note what the pack must and must not cover.

    line 20
  7. Distinctive:

    Put the exact date next to each metric block or bullet when refresh cycles differ.

    line 24
  8. Distinctive:

    Use markdown tables or JSON-like blocks that a downstream writer can reuse without re-parsing.

    line 28
  9. Distinctive:

    Read references/workflow.md for the data-gathering checklist.

    line 30
  10. Distinctive:

    Read references/output-format.md for the default pack shape.

    line 31
  11. Distinctive:

    Keep conflicting source dates visible instead of flattening them into one fake reference date.

    line 36
  12. Distinctive:

    Do not convert a thin source set into a confident market forecast.

    line 38

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Korean Sector Data Pack

Use this skill to assemble the inputs that a downstream sector report needs.

Quick Start

  • Treat market size, growth rates, policy calendars, regulations, and company facts as time-sensitive.
  • Prefer official and primary sources first: ministries, KOSIS, Bank of Korea, industry institutes, associations, KRX, DART, and company IR.
  • Keep the output structured. The point is to gather clean inputs, not to write a long narrative.
  • If the workspace is writable, write the pack to analysis-example/kr-sector/<sector>-data-pack.md when the user asked for a reusable artifact.

Workflow

  1. Define the pack scope. Start from the agreed sector definition and note what the pack must and must not cover.
  2. Gather dated facts. Collect the latest source-backed metrics, policy dates, regulations, value-chain facts, and public-company references.
  3. Label source freshness. Put the exact date next to each metric block or bullet when refresh cycles differ.
  4. Separate facts from interpretation. Include only light context. Save the thesis-heavy narrative for kr-sector-analysis.
  5. Deliver a reusable pack. Use markdown tables or JSON-like blocks that a downstream writer can reuse without re-parsing.

Read references/workflow.md for the data-gathering checklist. Read references/output-format.md for the default pack shape.

Operating Rules

  • Say when Korea-only market size is not separately disclosed.
  • Keep conflicting source dates visible instead of flattening them into one fake reference date.
  • Distinguish listed companies, private operators, and policy institutions clearly.
  • Do not convert a thin source set into a confident market forecast.

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