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Yeachan-Heo/technical-writing

Yeachan-Heo

technical-writing

One layered standard for shipping prose — docs, RFCs, readmes, PR descriptions, commit messages: outcome first, one meaning one home, checkable statements, no filler. Composes with minimal-prose-discipline.

v1.0LATEST
NewUpdated Nov 8, 2026

Technical Writing

Prose that ships — docs, RFCs, readmes, PR descriptions, commit messages — follows one standard so readers can navigate any of them the same way.

The standard

  1. Outcome first. The first sentence says what changed for whom and what the reader can now do. Context comes after the reader knows why they care.
  2. One meaning, one home. Each fact lives in exactly one place; every other mention links there. Duplicated facts rot at different speeds.
  3. Checkable statements. Prefer a statement the reader can verify with a command or a glance over an adjective. "Builds in ~40s" beats "fast".
  4. Layered structure. Summary, then detail, then edge cases — each layer readable alone, each deeper layer skippable.
  5. No filler. No restating the obvious, no throat-clearing, no AI tells (ai-slop-cleaner territory; this skill composes with it).

Per surface

  • Commit message: subject says what changed in one line ≤72 chars; body says why, and the constraint that made the change necessary.
  • PR description: claim, evidence (before/after), reversibility — the pr skill owns the full template.
  • README: what it is, who it is for, the shortest working example, then everything else.
  • RFC/design doc: problem, constraints, options considered with why the losers lost (feeds from architect), decision, migration.

Rules

  • Write clean as you draft; a cleanup pass after drafting does not remove these patterns.
  • Every claim carries its evidence or its label in the same sentence.
  • Delete more than you add; the reader's time is the budget (principles skill, Minimize reader load).
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Overall Score

72/100

Grade

B

Good

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

92

Quality

68

Clarity

82

Completeness

62

Summary

A prescriptive technical writing standard for shipping prose across multiple surfaces (docs, RFCs, readmes, PR descriptions, commit messages). The skill enforces outcome-first structure, single-sourcing of facts, verifiable statements, layered presentation, and eliminates filler. It provides explicit rules per surface type and composable principles.

Detected Capabilities

read structured documentationenforce prose patterns and standardsprovide guidance on information architectureteach documentation best practices

Trigger Keywords

Phrases that agents use to match this skill to user intent.

write technical documentationimprove prose claritystructure rfccommit message guidelinesreduce redundant docsdesign doc templatereadme structure

Referenced Domains

External domains referenced in skill content, detected by static analysis.

github.com

Use Cases

  • Write RFC/design documents that balance problem, constraints, and decision rationale
  • Create PR descriptions with claim, evidence, and reversibility assessment
  • Draft README files with clear purpose, audience, and minimal working examples
  • Compose commit messages with clear change summary and constraint context
  • Ensure documentation consistency across a project by following a unified standard
  • Eliminate redundant information across related documentation by enforcing single-sourcing
  • Improve readability of technical prose by prioritizing verifiable statements over adjectives

Quality Notes

  • Skill provides clear, actionable principles grounded in specific outcomes (e.g., 'Builds in ~40s' vs 'fast')
  • Per-surface guidance is practical and constrains common documentation patterns (commit length, RFC structure)
  • Principles are composable and reference related skills (minimal-prose-discipline, principles, architect) to avoid duplication
  • Language is concise and avoids its own filler — demonstrates the standard it teaches
  • Documentation could benefit from more worked examples showing before/after transformations for each surface type
  • No guidance on tool integration or automation for enforcing these patterns
  • Skill assumes agent can parse and apply literary/structural guidance — unclear how an agent would validate compliance
  • Missing explicit handling of edge cases (very large docs, highly technical content, non-English prose)
  • No metrics or validation checklist for verifying that output meets the standard
Model: claude-haiku-4-5-20251001Analyzed: Nov 8, 2026

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