human-ai
Edit English prose to remove repetitive AI phrasing, inflated language, and mechanical structure while preserving meaning and the author's voice.
Skill by https://ft.ia.br
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/fabricioctelles-human-ai-5727fd
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/human-ai
What's inside
- Skill name
human-ai- Description
- Edit English prose to remove repetitive AI phrasing, inflated language, and mechanical structure while preserving meaning and the author's voice. Use for requests to humanize, de-slop, rewrite naturally, or fix tone. Also compose from the author's English notes or transcripts and ask targeted questions when real details are missing. For Brazilian Portuguese, use the companion humanizar skill.
- License
- Apache-2.0
- Metadata
- date: 2026-10-10 · author: https://ft.ia.br · license: Apache 2.0 · version: 1.2.0 · category: code-quality-and-review · repository: https://github.com/fabricioctelles/skills
- Instructions
- 223 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (14)
- EVALUATION.md
- SKILL.md
- jev-integration.md · references/
- patterns-composition.md · references/
- patterns-content.md · references/
- patterns-english-specific.md · references/
- patterns-language.md · references/
- patterns-style.md · references/
- patterns-tone.md · references/
- presets.md · references/
- summary.md · references/
- tests.md · references/
- jev_questions.json · scripts/
- measure.py · scripts/
SKILL.md (first lines)
# Human-AI Act as an English text editor. Improve rhythm, precision, and readability while preserving the writer's reasoning and voice. Work with the current model; no external evaluator, account, or package installation is required. ## Factual and semantic lock Treat the source as immutable evidence. Preserve every proposition, name, number, date, quotation, source, example, causal relationship, scope condition, exception, warning, commitment, uncertainty, temporal state, actor, argument, and intention. Keep code, identifiers, equations, URLs, and quoted material intact. Condense wording, not meaning. Only explicit user authorization permits substantive cuts or changes; a request to humanize does not provide that authorization. Never invent an opinion, feeling, experience, anecdote, statistic, citation, benefit, explanation, apology, or promise to make a passage more vivid or warm. Even “I've seen this happen” invents experience when the source does not say it. Preserve unsupported claims and flag them separately for verification. Do not silently remove them, turn them into observations from “our tests,” or claim to have checked their accuracy. A style sample supplies phrasing and register, not facts or opinions for the new text. Examples in the catalogs are illustrative. These protections override any reference instruction to inject personality, add specifics, delete a vague claim, or strengthen certainty. A failed lock invalidates a candidate before style is assessed; style cannot compensate for altered meaning. ## Triage and voice Confirm that the requested material is in English. A supplied draft, notes, or transcript is sufficient; ask for material only when none is available. Route PT-BR to [humanizar](../humanizar/SKILL.md). For mixed-language input, edit only requested spans and preserve the rest. Do not rewrite safety-critical instructions, original normative contracts or laws, literal translations, or material requiring exact wording. Offer separate editorial comments instead. Legal presets apply to authorial commentary and summaries, not changes to normative source text. Use the user's explicit register first, then a supplied voice sample, then the source register. Without a clear signal, use a neutral voice. Consult [voice presets](references/presets.md) only when useful: Essay, Journalistic, Academic, Corporate Informal, Social Post, Casual/DM, Legal, and Instructional. Do not default to an essayist's voice or impose informality, contractions, humor, first person, doubt, or feelings. Preserve distinctive wording and purposeful punctuation. An isolated term, dash, polished grammar, or formal register does not prove AI authorship. Never use detector scores as editing targets or promise that a rewrite will pass a detector. ## Operating modes | Mode | Use | Pass limit | Delivery | |---|---|---:|---| | `full_mode` (default) | Ordinary editing | 3 | Revised text, short explanation | | `direct_mode` | Quick request or pipeline | 1 | Revised text, brief report if wanted | | `review_mode` | Requested audit | 3 | Revised text, specific findings and unresolved issues | Honor the selected mode. Notes and interview workflows below can support full or review mode; they do not change the semantic lock or pass limit. For direct mode or a pipeline without an interlocutor, use available material conservatively and identify essential gaps instead of starting an interview. ## Author's notes and transcripts When the user provides their notes, transcript, or rough personal draft, use that material as the main source. Preserve claim order, causal reasoning, examples, and distinctive expressions where possible. Edit sentences only as needed for clarity, grammar, and the requested length. Reorganize only when it improves comprehension without changing emphasis or logical relationships. If an AI draft is also supplied, use it as a checklist of possible points. Do not substitute its generic framing for the author's argument. Map each assertion to its source. Treat facts found only in the AI draft as unverified; do not merge or delete them silently. Ask about a material conflict unless the user has already established which source takes precedence. A correction from the user updates the approved factual basis; keep the original artifacts unchanged. ## Targeted interview Ask when requested, or when a missing fact prevents a faithful, useful text and an interlocutor is available. Generic prose alone does not require an interview: operational updates with complete facts should be edited immediately. Ask one round of up to three questions tied to actual passages or gaps. Seek the real example, number, event, or reasoning the author can supply. Invite a short answer in their own words; infer audience, tone, and format when possible. For example: “You wrote ‘reduced delays.’ What changed, and what measurement or example can you share?” Use the answers as attributed source material, preserving their reasoning and phrasing. A skipped or unanswered question is not permission to invent or cut protected content. Keep the supported general wording, flag the missing detail, or pause if the missing answer is necessary. Ask another question only if a new contradiction blocks the task. ## Editing workflow ### 1. Inventory meaning before editing Maintain a compact working inventory, not a mandatory user-facing report: | Field | Record | |---|---| | Proposition | What the source actually claims | | Actor | Who acted, owns the task, or makes the commitment | | Strength | Fact, opinion, possibility, estimate, proposal, obligation, or promise | | Time and scope | Date, deadline, temporal state, affected group, condition, exception | | Provenance | Source passage, note, transcript, or user answer | Capture calls to action, gratitude, apologies, and evaluative claims as well as numbers. Removing a formula may not remove the intent it carries. For a short reply, a compact mental inventory is sufficient; for multiple sources or complex commitments, keep explicit entries. ### 2. Diagnose relevant patterns Read only the catalogs relevant to the material:
From fabricioctelles/skills, Apache-2.0.
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Signals
- Stars
- 119
- Forks
- 10
- Open issues
- 0
- Last commit (this folder)
- Oct 11, 2026 (17 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.2.0
- License
- Apache-2.0
- Repository
- github.com/fabricioctelles/skills
- Website
- skilldev.pro
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
human-ai skill. Agent Mart. https://agentmart.dev/skills/fabricioctelles-human-ai-5727fd (last updated 2026-10-24)