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Human writing

Skill idaibin/skills/skills/human-writing

Independent Agent Skills for repository analysis, planning, implementation, review, delivery, design, and runtime verification.

Install
npx -y skills add idaibin/skills --skill human-writing

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when drafting, rewriting, proofreading, diagnosing, or adapting source-grounded prose, especially technical articles, essays, tutorials, product notes, and social posts, while preserving facts, attribution, uncertainty, voice, and meaning. Supports private English-first reasoning for Chinese finals; not translation-only, fiction, or AI-detection evasion.

SKILL.md

6.9 KB, as published. Nobody here has run it

Human Writing

Outcome Contract

  • Outcome: natural, source-grounded writing shaped for the requested reader and surface.
  • Evidence: supplied text, notes, verified sources, author samples, and explicit task constraints.
  • Done when: the artifact preserves meaning and protected details, solves the reader's task, and contains no concrete factual, structural, or voice defect worth another edit.
  • Output: the requested artifact only, unless the user asks for diagnosis, alternatives, or editing notes.

Core Stance

  • Treat writing patterns as diagnostic signals, not a checklist or banned-word table.
  • The author's supported voice wins over a generic house style.
  • Over-editing is failure. Prefer fewer, stronger changes; leave already effective prose alone.
  • Most useful polish is subtraction: remove repetition, empty framing, synthetic emphasis, and process narration without thinning the argument.
  • Never trade factual precision, uncertainty, attribution, or a stable technical term for smoother prose.

Workflow

  1. Lock the source. Identify authoritative facts, judgments, unknowns, protected text, visibility limits, and claim status across the whole artifact. When research is requested, also freeze its question, source boundary, and stop condition. Apply references/fact-integrity.md when the task contains multiple sources, technical claims, external facts, attribution, disclosures, or research-backed drafting.
  2. Set the target. Infer the primary operation, reader, purpose, language, length, platform, and genre from the request and source. Ask only about missing information that would materially change the result.
  3. Calibrate voice. Prefer a supplied author sample, then the stance and confidence visible in the source, then a neutral precise voice. Never manufacture first-person experience or quirks.
  4. Choose the smallest useful structure. Use a private outline for new long-form or multi-claim work. For an existing long artifact, map sections and repetition before restructuring. Skip planning ceremony for short or local edits.
  5. Draft or edit for substance. Lead with the real question, scene, mechanism, or decision. Keep evidence near claims, integrate follow-up material where it changes the argument, and adapt for a platform rather than merely reformatting or translating.
  6. Run two passes. First check facts, status, protected text, disclosures, and safety. Then diagnose clusters of template residue, weak logic, repetition, manufactured cadence, and voice drift. Fix only confirmed reader problems.
  7. Stop and return. Compare with the source and stop when another change would only normalize preference-level wording. Return the requested artifact or Not enough context: with the minimum missing facts when completion would require invention.

Modes

  • Draft from source: create prose from supplied or verified material without filling gaps with plausible fiction.
  • Rewrite or proofread: improve a supplied artifact while preserving its position, meaning, structure, and protected content unless broader change was requested.
  • Diagnose: identify concrete factual, logical, structural, voice, or platform problems without rewriting unless asked.
  • Platform adaptation: reshape supported content for a named community or surface while preserving claims, attribution, disclosures, and author voice.

For a requested Chinese final from notes or mixed-language evidence, a private English claim-and-structure pass may help. Skip it for an existing Chinese draft or stronger Chinese sample unless requested. Treat the English intermediate as provisional phrasing, never as a new source, and check the Chinese final against the original evidence.

Boundaries

Do not use for translation-only work, fiction or poetry, imitation of a living author's distinctive style, formal legal or regulatory writing, serious news reporting, technical correctness review as the primary task, unsupported advertising, or AI-detection evasion.

Hard requirements:

  • Never invent experience, incidents, users, metrics, dates, versions, benchmarks, quotations, testimonials, results, rankings, or attribution.
  • Preserve uncertainty, modality, claim status, actor role, and exact commands, paths, flags, identifiers, versions, code, and numeric ranges.
  • Keep background research in the reasoning layer unless visible provenance is required or requested.
  • Treat platform rules and other current external claims as volatile; verify them before presenting the artifact as compliant.
  • Preserve frontmatter, links, code fences, quotations, and structural assets unless the task authorizes changing them.
  • Integrate later instructions into the latest authoritative artifact; do not expose the editing sequence or leave append-only seams.
  • Block only the affected unsafe or unsupported claim when a safe partial artifact remains possible.

Output Contract

  • Draft, rewrite, proofread, and adaptation: return the finished artifact only.
  • Diagnose: return the excerpt or location, concrete problem, impact, and editing direction.
  • Chinese final with private English support: return Chinese only unless both versions were requested.
  • Unsupported artifact: return Not enough context: followed by the minimum missing facts.

Reference Loading

  • Load fact-integrity.md for source precedence, claim status, attribution, disclosures, external claims, technical preservation, or a research-to-draft loop.
  • Load content-modes.md only when a genre changes the structure materially.
  • Load platform-calibration.md only for a named publishing surface; use profiles as heuristics, not current platform policy.
  • Load style-diagnostics.md when voice, rhythm, Chinese technical prose, or AI-like template residue is the problem.
  • Load reasoning-and-explanation.md for mental-model repair, progressive explanation, boundaries, alternatives, or an earned conclusion.
  • Load revision-transparency.md only when an already-published artifact may need a visible correction or reader-relevant update note; routine content synchronization should be integrated naturally.
  • Use quality-rubric.md for final editorial review, before-after-examples.md when a concrete calibration example helps, and eval-cases.md when changing Skill behavior.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.