renfei-design/design-jarvis/extract-content-strings

Claude Code and agent skill by renfei-design/design-jarvis

Trust tier 3
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Checking that the SKILL.md file is still in the repository.

Extract, normalize, classify, and verify user-facing strings from designs or code into a portable content inventory.

Install

npx vskill@latest install renfei-design/design-jarvis/extract-content-strings

SKILL.md

Extract Content Strings

Save the inventory to projects/<slug>/specs/content-strings.md or a user-specified destination.

Workflow

  1. Resolve the source: Figma frames, screenshots with available text, HTML, templates, components, or localization files.
  2. Extract only user-facing text. Exclude layer names, code identifiers, design notes, token names, test fixtures, and invisible metadata unless requested.
  3. Preserve context: screen, component, element type, state, trigger, audience, and character constraints.
  4. Normalize whitespace and exact duplicates while retaining intentionally different contextual uses.
  5. Assign stable, platform-neutral keys such as settings_save_button or search_empty_title.
  6. Flag dynamic placeholders, pluralization, variables, markup, localization risk, terminology conflicts, missing labels, and inaccessible icon-only controls.
  7. Cross-check extracted counts and spot-check the source before completion.

Inventory format

markdown
| Key | Source | Screen/component | Element | State | String | Variables | Notes |
|---|---|---|---|---|---|---|---|

Rules

  • Preserve exact source wording in the inventory; propose rewrites in a separate review column or artifact.
  • Never include credentials, personal data, private customer content, or internal identifiers.
  • Do not infer text hidden behind unavailable states; mark it missing.
  • If writing to Figma, load figma-use, return mutated node IDs, and verify with a screenshot.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
77
7-day trend score
22

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