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article-enrichment

Transform raw article text dumps in the brain into structured pages with executive summary, verbatim quotes, key insights, why-it-matters, and cross-references. Replaces walls-of-text with quotable, actionable brain pages.

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来源信息

仓库
garrytan/gbrain
最近来源活动
2026年8月16日 14:28
检测到的 SKILL.md 语言
英语
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30,213
分支
4,516

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默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

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决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

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SKILL.md
来源说明 · 只读预览
name
article-enrichment
version
0.1.0
description
Transform raw article text dumps in the brain into structured pages with executive summary, verbatim quotes, key insights, why-it-matters, and cross-references. Replaces walls-of-text with quotable, actionable brain pages.
triggers
["enrich this article","enrich the article","enriching the article","enrich brain pages","batch enrich","enrich pass","make brain pages useful"]
mutating
true
writes_pages
true
writes_to
["media/articles/"]
# article-enrichment — From Raw Dumps to Useful Brain Pages > **Convention:** see [conventions/quality.md](../conventions/quality.md) for > citation rules, verbatim-quote requirements, and back-link enforcement. > > **Convention:** see [_brain-filing-rules.md](../_brain-filing-rules.md) for > filing rules. Article pages live under `media/articles/` for raw ingest; > personalized one-of-one synthesis output uses the sanctioned > `media/articles/<slug>-personalized.md` exception. ## What this does Takes an article brain page that's a wall of raw extracted text and rewrites it as a structured page with: - **Executive Summary** — 2-3 sentences, the ONE thing worth remembering - **Why It Matters** — connects to the user's specific projects + interests (read from brain context, not assumed) - **Quotable Lines** — 3-5 VERBATIM quotes worth referencing in essays - **Key Insights** — actual insights, not topic labels - **Surprising or Counterintuitive** — what makes this content unique - **See Also** — standard markdown links to related brain pages Raw source content is preserved in a collapsed `<details>` section so the original is never lost. ## When to invoke - New article page lands in the brain via media-ingest with `needs_enrichment: true` - Existing article page is a wall of text under a `## Content` header with no synthesis - User says a brain page is useless, boring, or a dump - An LLM-judge brain-quality eval fails on quotability or actionability for an article page ## The pipeline ``` 1. READ → Open the article brain page; parse frontmatter + body. 2. SCAN → Look for ## Content (raw dump) and absence of ## Executive Summary. 3. CONTEXT → gbrain query the article's key entities to ground "Why It Matters". 4. ENRICH → Sonnet (default) or Opus (for high-value content) restructures. 5. WRITE → Replace ## Content with the structured sections; preserve raw source in <details>; clear needs_enrichment in frontmatter. 6. CROSS-LINK→ Add back-links from referenced people/companies pages (Iron Law per conventions/quality.md). ``` ## Invocation The skill itself is markdown instructions to the agent. It does NOT ship a deterministic CLI command in v0.25.1. The agent uses gbrain's existing operations: ```bash # 1. Find candidate pages gbrain query "needs_enrichment: true type:article" --limit 50 # 2. For each candidate, read the page gbrain get media/articles/<slug> # 3. Enrich via the agent's LLM (Sonnet by default; Opus for high-value) # The agent reads the raw content + brain context + writes the structured page. # 4. Write the enriched page # Use the put_page operation with the new structured markdown body. # 5. Cross-link entities # For every person/company mentioned, add a timeline back-link. ``` ## Quality bar An enriched page passes if it has: - ✅ `## Executive Summary` (2-3 sentences) - ✅ `## Quotable Lines` with ≥3 verbatim quotes (literal quotes, not paraphrase) - ✅ `## Key Insights` with ≥3 bullets (insights, not topic labels) - ✅ `## Why It Matters` connecting to specific brain context (not generic) - ✅ `## See Also` with standard markdown links (NOT `[[wiki-links]]`) - ✅ `<details>` block preserving the raw source content ## Model selection | Model | Use when | Quote accuracy | |-------|----------|----------------| | **Sonnet** (default) | Bulk enrichment, most articles | Good — occasionally paraphrases | | **Opus** | High-value content, original-thinking pieces, longreads | Excellent — respects "verbatim" instruction | Rule: for bulk enrichment, do a Sonnet draft pass and spot-check 5 with the LLM-judge brain-quality eval. If quotes are paraphrased, switch to Opus for that batch. ## Link convention All cross-references use standard markdown links: `[Title](relative/path.md)`. NEVER use `[[wiki-links]]` — they don't render on GitHub. ## Anti-Patterns - ❌ Paraphrasing quotes ("the author argues that…"). Quotes are verbatim or they're not quotes. - ❌ Generic "Why It Matters" ("this is important because innovation"). Tie to specific brain context or remove the section. - ❌ Inventing topic labels and calling them insights. An insight is a thing the article says that you didn't already know. - ❌ Discarding the raw source. Always wrap it in `<details>`. - ❌ Re-enriching non-idempotently — check the `needs_enrichment` flag in frontmatter; skip if already false. ## Related skills - `skills/media-ingest/SKILL.md` — creates the raw article pages this skill enriches - `skills/idea-ingest/SKILL.md` — link/article ingestion with author people-page enforcement - `skills/conventions/quality.md` — citation + back-link rules ## Contract This skill guarantees: - Routing matches the canonical triggers in the frontmatter. - Output written under the directories listed in `writes_to:` (when applicable). - Conventions referenced (`quality.md`, `brain-first.md`, `_brain-filing-rules.md`) are followed. - Privacy contract preserved: no real names, no fork-specific filesystem path literals, no upstream-fork references. The full behavior contract is documented in the body sections above; this section exists for the conformance test. ## Output Format The skill's output shape is documented inline in the body sections above (see "Output", "Brain page format", or equivalent). The literal section header here exists for the conformance test (`test/skills-conformance.test.ts`).
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