# Journal Content Research

> Build and save a source-backed research brief for an enterprise journal topic in Earth Care Network. Use before writing an article, when a topic needs evidence, or when existing content is generic or makes weak claims.

- Skill: `giving-back-studio/journal-content-research` (Agent Skill)
- Install (CLI): `npx skillmds@latest add giving-back-studio/journal-content-research`
- Raw SKILL.md: https://api.skillmd.com/api/skills/giving-back-studio/journal-content-research/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: Giving-Back-Studio (https://skillmd.com/u/giving-back-studio)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/giving-back-studio/journal-content-research

---


# Journal content research

Read `journal_strategy`, the enterprise's private context, existing articles,
and relevant buying signals. Agree on one topic before researching.

Build a brief with:

- reader question and search or buying intention
- verified enterprise facts
- direct source observations and URLs
- useful examples that do not expose private data
- open questions and claims requiring confirmation
- prohibited or unsupported claims
- recommended thesis, outline, and CTA

A buying signal proves only what its source post says. It does not prove the
author's budget, identity, readiness, or outcome.

Save the brief to `journal_research` with `topic`, `researched_at`, `sources`,
`findings`, `open_questions`, `prohibited_claims`, and
`recommended_outline`. Do not publish.