# Outline And Article Promise

> Produce an answer-first outline that makes the research decision executable.

- Skill: `lionelndong/outline-and-article-promise` (Agent Skill)
- Install (CLI): `npx skillmds add lionelndong/outline-and-article-promise`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lionelndong/outline-and-article-promise/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: lionelndong (https://skillmd.com/u/lionelndong)
- Updated: 2026-08-19
- Page: https://skillmd.com/skills/lionelndong/outline-and-article-promise

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# Outline and Article Promise

## Method

1. Start with an opening that answers the reader’s dominant job immediately.
2. Turn the Beat Spec into MECE H2/H3 sections with clear BLUFs.
3. Give the information-gain asset a specific section, not a passing reference.
4. Place at least two relevant internal links and the conversion path where they serve the reader.
5. Reserve visual slots by role: cover/OG, product proof, concept explanation, comparison/decision support, and evidence.
6. Brainstorm at least five honest H1 options; choose the strongest combination of search fit, reader value, and click reason.
7. Use the Oversubscribed lens only if promotion, demand creation, a partner handoff, or link-building is genuinely required.

## Output

Annotated outline, Article Promise, link plan, visual plan, headline decision, and conditional promotion handoff.