菜单
Ingest links, articles, tweets, and ideas into the brain. Fetch content, save to brain with analysis, create author people page, and cross-link. Use when the user shares a link or says "read this", "save this", "think about this".
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | idea-ingest |
| version | 1.0.0 |
| description | Ingest links, articles, tweets, and ideas into the brain. Fetch content, save to brain with analysis, create author people page, and cross-link. Use when the user shares a link or says "read this", "save this", "think about this". |
| triggers | ["shares a link or URL","read this link","read this article","save this link","save this idea","think about this","put this in brain"] |
| tools | ["search","query","get_page","put_page","add_link","add_timeline_entry","file_upload"] |
| mutating | true |
| writes_pages | true |
| writes_to | ["people/","concepts/","sources/"] |
Filing rule: Read
skills/_brain-filing-rules.mdbefore creating any new page.
This skill guarantees:
gbrain files upload-raw[Source: ...] citationConvention: See
skills/conventions/quality.mdfor Iron Law back-linking.
Every mention of a person or company with a brain page MUST create a back-link.
Format: - **YYYY-MM-DD** | Referenced in [page title](path) — brief context
Fetch the content. Use appropriate tools for the content type (web fetch for articles, API for tweets, PDF reader for documents).
Upload raw source. Save the fetched content for provenance: gbrain files upload-raw <file> --page <slug>
Identify the author — MANDATORY people page. Anyone whose thinking is worth ingesting is worth tracking.
Save to brain. File by PRIMARY SUBJECT (read skills/_brain-filing-rules.md):
people/companies/concepts/sources/Analyze for the user. Reply with analysis that connects the content to what the brain knows. Think about:
Sync. gbrain sync to update the index.
# {Title} — {Author}
**Source:** {URL}
**Author:** {Author}, {role}
**Published:** {date}
**Ingested:** {date}
## Context
{Why this matters now, connected to brain knowledge}
## Summary
{3-5 bullet core arguments}
## Key Data / Claims
{Specific facts, numbers, quotes}
## Analysis
{How this connects to existing brain knowledge. What's new. What contradicts.}
sources/ (sources is for raw data dumps only)Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers. Each area lists sub-skills in a "(dispatcher for: ...)" clause. The LLM reads one area entry and routes to the correct sub-skill. Proven via held-out A/B eval: dispatcher pattern outperforms naive pipe-table compression.
Read a book, article, transcript, or case study through the lens of a specific strategic problem you're facing. Produces an applied playbook that maps the source onto the problem and gives short/medium/long-term recommendations. NOT for general book summaries.
Lift a proven skill from a host repo (e.g. your OpenClaw fork) back into gbrain's bundle so other clients can scaffold it. Editorial workflow: the CLI does the file copy + privacy lint; this skill drives the judgment-heavy genericization (scrub real names, generalize triggers, lift fork-specific conventions to references).
Set up GBrain with auto-provision Supabase or PGLite, AGENTS.md injection, first import