Skill 详情
writing-humanizer
Direct human-readable prose editing with AI-tell and readability guidance.
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SKILL.md
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--- name: writing-humanizer # description: routing-facing summary of when this skill activates and what it covers. description: "Use when writing or editing human-readable prose such as docs, PRs, issues, release notes, errors, UI copy, commits, tooltips, or support replies, especially when text sounds robotic, padded, monotonous, or overly formal. Covers AI-tell removal, active voice, hedging reduction, readability diagnosis, sentence rhythm, vocabulary variety, tone mapping, paragraph rhythm, bullets-vs-prose choice, and the 5-step humanization workflow. Do NOT use for documentation routing/type selection, code-identifier naming, or in-product UI-text pattern catalogs." # license: SPDX-compatible license identifier for the skill content. license: MIT allowed-tools: Read Grep Edit # metadata: Skill Metadata Protocol fields encoded under Agent Skills-compatible frontmatter. metadata: # === v8 Classification (subject + public; polyhierarchy via subjects[]) — see ADR-0017 === # subject: primary browse shelf — what the skill teaches. One of twelve closed values: # backend-engineering / frontend-engineering / software-architecture / data-engineering / agent-ops / ai-engineering / # quality-assurance / design / reasoning-strategy / software-engineering-method / knowledge-organization / product-domain. subject: design # public: publishability/private-data gate. Boolean. # true = publishable/shareable; false = private and excluded from public export. # Project anchoring is carried separately by non-empty `project[]` plus `grounding`. public: true # scope: free-text PRD-style statement of what the skill teaches and what it excludes. # (v8 required; not an enum). Mirrors Coverage + Do NOT Use When at frontmatter level. scope: "Writing and editing human-readable prose — docs, PRs, issues, release notes, errors, UI copy, commits, tooltips, support replies — especially when text sounds robotic, padded, monotonous, or overly formal: AI-tell removal, active voice, hedging reduction, readability diagnosis, sentence rhythm, vocabulary variety, tone mapping, paragraph rhythm, the bullets-vs-prose choice, and the 5-step humanization workflow. Portable across any written communication; principle-grounded, not repo-bound. Excludes documentation routing/type selection, code-identifier naming, and in-product UI-text pattern catalogs (microcopy)." # taxonomy_domain: optional hierarchical sub-path within `subject`. Slash-delimited # lowercase kebab-case segments. rename of the original v8 `domain`. Remove when the flat # `subject` is sufficient. taxonomy_domain: design/content # stability: lifecycle marker. One of: # experimental (active development) / stable (production-ready) / # frozen (no further changes expected) / deprecated. # When `deprecated`, schema's allOf REQUIRES `superseded_by: <real-skill-name>`. stability: experimental # keywords: semantic phrases for fuzzy router activation. v8 cap: max 10. # Keep terms a user would actually type when starting a task in this skill's domain. keywords: ["AI-tell detection","AI-tell removal","prose humanization","passive-to-active voice","hedging-pattern removal","readability scoring diagnosis","sentence-rhythm pattern","3-beat sentence variety","hook-body-landing paragraph","tone mapping framework"] # triggers: explicit-match activation phrases the router fires on literally. # Use when label-based routing is intended; usually keywords + examples are enough. triggers: ["humanize this text","sounds AI-generated","strip the AI tells","make this read like a human wrote it","this prose is robotic"] # examples: 2-5 realistic user prompts the skill SHOULD activate for. # Written in the user's voice. Improves retrieval recall beyond keywords alone. examples: ["this PR description sounds AI-generated — strip the tells and rewrite it concisely","rewrite this onboarding paragraph in the active voice with shorter average sentence length","audit this rele在 GitHub 阅读完整来源 (打开外部页面)