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Use when turning structured skill decomposition artifacts into beginner, expert, report, or Obsidian reading layers.
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Baseado na classificação ocupacional SOC
| name | asa-reader-layer-writer |
| description | Use when turning structured skill decomposition artifacts into beginner, expert, report, or Obsidian reading layers. |
| internal_meta_skill | true |
| asa_role | report_exporter |
| output_contract | report.reader_layers + letuen.reader_anchors |
Use this internal meta-skill when structured decomposition must become a readable report, Obsidian note, tutorial, or visual surface.
This skill fixes the failure mode where reports repeat the same summary, assume too much skill-design knowledge, bury implementation details without a reading path, or fail to expose reusable anchor cards for learning and operation.
Return reader-layer guidance suitable for report and vault exporters:
reader_layers:
beginner:
expert:
glossary: []
reading_order: []
report_notes: []
obsidian_notes: []
anchors:
anchor_card:
- id:
source_anchor_id:
title:
zh:
en:
one_sentence:
zh:
en:
why_it_matters:
zh:
en:
reader_level: beginner | intermediate | expert | operator
source_section:
evidence: []
learning_note_anchor:
- id:
topic:
explains:
zh:
en:
prerequisites: []
examples: []
common_misreadings: []
obsidian_links: []
evidence: []
operator_guide_anchor:
- id:
task:
when_to_use:
steps: []
expected_inputs: []
expected_outputs: []
safety_checks: []
reuse_modes: []
evidence: []
Emit reader anchors that make the decomposition understandable and reusable across surfaces.
anchor_card: a compact visual/report card for one important anchor or concept.learning_note_anchor: an Obsidian-friendly explanation that helps non-experts understand terms, structure, and reuse logic.operator_guide_anchor: a practical guide for someone who wants to apply, borrow, or combine the analyzed skill behavior.Reader anchors must preserve evidence boundaries. Beginner wording can simplify concepts, but it cannot hide uncertainty, convert inference into fact, or suggest unsafe reuse. Keep Chinese and English fields parallel so UI/report language switching remains possible.
A strong reader layer answers:
Demonstrates the Agent Skill Anatomy harness with a tiny local skill.
Use when selecting and composing skill anchors into a chosen reuse form without assuming a full workflow is required.
Use when auditing whether a skill decomposition is evidence-grounded, over-inference-safe, and publishable.
Use when comparing multiple model outputs for the same skill decomposition task across quality, omissions, and fit.
Use when explaining what each file, script, reference, asset, or template does inside a skill package.
Use when extracting reusable patterns, templates, checklists, anti-patterns, and transfer rules from analyzed skills.