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Ai Draft Revision Lane Cards

by haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install ai-draft-revision-lane-cards
Description
Create printable or digital revision lane cards for reviewing AI-generated drafts, separating raw output, edits, fact checks, tone review, approvals, final c...
README (SKILL.md)

AI Draft Revision Lane Cards

Purpose

Use this skill when a user has one or more AI-generated drafts and needs a visible review board before the text is sent, submitted, posted, or reused. The output is a printable or digital set of lane cards, status stickers, fact-check flags, tone-review labels, approval tabs, and a one-page handoff checklist.

This is a prompt-only organization workflow. It does not verify facts automatically, send messages, submit work, create hidden citations, or treat AI output as authoritative.

Use This Skill When

Use this skill when the user asks to:

  • Review AI drafts for emails, essays, proposals, posts, reports, announcements, or client-facing notes.
  • Separate raw AI output from human-edited and approved copy.
  • Track fact checks, tone fixes, owner review, and final approval.
  • Build a visible board for printed pages, notes, documents, slides, email drafts, chat outputs, or shared workspaces.
  • Create labels or cards for a safe AI writing review workflow.

Do not use it to bypass school, workplace, legal, editorial, compliance, or publication rules.

Best Inputs

Ask only for the details needed to make useful cards. If the user does not know an answer, proceed with generic labels and placeholders.

  • Draft type, such as email, article, proposal, school essay, social post, report, announcement, or client-facing note.
  • Current draft location, such as printed pages, notes app, document, slide deck, email draft, chat output, or shared workspace.
  • Reviewers or owners who must approve the draft.
  • Known risks, such as facts, dates, figures, quotes, citations, promises, sensitive details, or brand voice.
  • Preferred format, such as printable cards, digital board labels, sticky-note text, or a one-page checklist.

Do not ask for unnecessary private data, credentials, account access, confidential records, or full sensitive documents when a short excerpt would work.

Workflow

  1. Identify the draft type, audience, current location, and external-use risk.
  2. Create lane cards for raw AI output, keep, rewrite, verify, source needed, tone check, owner review, final, and archive.
  3. Generate status stickers for strong sentence, unclear claim, unsupported number, sensitive detail, brand voice issue, duplicate idea, and final wording.
  4. Build fact-check flags for names, dates, figures, quotes, promises, citations, instructions, and external-facing claims.
  5. Add tone-review labels for too formal, too casual, too vague, too confident, too long, off brand, and needs human voice.
  6. Create approval tabs with reviewer, decision, required change, deadline, and final send location.
  7. Provide a one-page AI draft handoff checklist that makes human accountability visible before any external use.

Output Format

Return the artifact set in this order:

  1. Draft Board Snapshot
  • Draft type:
  • Current location:
  • Intended audience:
  • External use risk:
  • Review owner:
  • Assumptions:
  1. Revision Lane Cards

Provide copy-ready card text for each lane:

  • Raw AI Output
  • Keep
  • Rewrite
  • Verify
  • Source Needed
  • Tone Check
  • Owner Review
  • Final
  • Archive
  1. Draft Status Stickers

List short stickers with one-line meanings and suggested placement.

  1. Fact-Check Flags

Create flags for names, dates, figures, quotes, promises, citations, instructions, and external-facing claims. Include a field for source or reviewer confirmation.

  1. Tone-Review Labels

Create labels that help a reviewer mark tone issues without rewriting the whole draft immediately.

  1. Approval Tabs

Include fields for reviewer, decision, required change, deadline, final send location, and approval date.

  1. One-Page Handoff Checklist

Include steps for separating raw output, preserving user-provided facts, checking claims, removing sensitive details, confirming tone, recording approval, and placing final copy in the correct destination.

Style Rules

  • Keep each card short enough to fit on a sticky note, index card, label, or digital board column.
  • Use visible status words that make the next action clear.
  • Use placeholders such as [REVIEWER], [DEADLINE], [SOURCE], and [FINAL LOCATION].
  • Keep raw AI text visually separate from final approved wording.
  • Make uncertainty visible instead of smoothing it away.
  • Prefer plain labels over long explanations.

Safety Boundary

  • Do not verify facts automatically, fabricate sources, generate hidden citations, or invent evidence.
  • Do not send, post, submit, approve, or publish anything.
  • Do not bypass school, workplace, client, editorial, legal, or compliance rules.
  • Do not treat AI-generated text as final without explicit human review.
  • Do not ask for credentials, private keys, account access, or unnecessary sensitive data.
  • Flag names, dates, figures, quotes, promises, citations, and sensitive details for human confirmation.

Example Prompts

  • "Make lane cards for reviewing this AI email draft before I send it."
  • "I need an AI writing revision board for a proposal draft."
  • "Create fact-check flags and approval tabs for several AI-generated social posts."
  • "Turn this chat output into a safe draft review checklist."
Usage Guidance
This skill appears safe to use for organizing draft review. As with any writing-review workflow, avoid pasting full confidential documents when excerpts or summaries are enough, and have a human verify facts, sources, tone, and approvals before external use.
Capability Analysis
Type: OpenClaw Skill Name: ai-draft-revision-lane-cards Version: 1.0.0 The 'ai-draft-revision-lane-cards' skill is a prompt-only workflow designed to help users organize the review process for AI-generated text. It contains no executable code, requires no network or credential access, and includes explicit safety boundaries in SKILL.md that prohibit automated fact-checking, unauthorized posting, or requesting sensitive data.
Capability Assessment
Purpose & Capability
The stated purpose and instructions are coherent: the skill produces printable or digital draft-review artifacts such as lane cards, stickers, flags, approval tabs, and a handoff checklist.
Instruction Scope
The instructions are bounded to organizing human review of drafts and explicitly say not to verify facts automatically, fabricate sources, submit work, or bypass rules.
Install Mechanism
There is no install spec and no executable code; metadata declares prompt-only, noExec, no network, no credentials, and no code execution.
Credentials
No binaries, environment variables, APIs, credentials, config paths, or network capabilities are requested, which is proportionate for a document-only workflow.
Persistence & Privilege
The artifacts show no persistence, background activity, privilege escalation, account access, or retained memory behavior.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-draft-revision-lane-cards
  3. After installation, invoke the skill by name or use /ai-draft-revision-lane-cards
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Version 1.0.0 introduces the ai-draft-revision-lane-cards skill for transparent AI-written draft review. - Enables creation of printable or digital revision lane cards to separate raw AI output, edits, fact checks, tone review, approvals, final copy, and archive decisions. - Provides artifacts: board snapshot, lane cards, status stickers, fact-check flags, tone-review labels, approval tabs, and a handoff checklist. - Designed for visible, human-in-the-loop AI writing review workflows; does not verify facts or send/submit work. - Emphasizes safety boundaries and encourages accountability before external use. - Includes clear guidance on best inputs, workflow steps, output format, and usage limitations.
Metadata
Slug ai-draft-revision-lane-cards
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ai Draft Revision Lane Cards?

Create printable or digital revision lane cards for reviewing AI-generated drafts, separating raw output, edits, fact checks, tone review, approvals, final c... It is an AI Agent Skill for Claude Code / OpenClaw, with 23 downloads so far.

How do I install Ai Draft Revision Lane Cards?

Run "/install ai-draft-revision-lane-cards" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ai Draft Revision Lane Cards free?

Yes, Ai Draft Revision Lane Cards is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ai Draft Revision Lane Cards support?

Ai Draft Revision Lane Cards is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ai Draft Revision Lane Cards?

It is built and maintained by haidong (@harrylabsj); the current version is v1.0.0.

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