Compare your notes with an expert's essays, talks, or interviews on a chosen topic. Receive exact quotes, source file locations, and an analysis that identifies connections and at least one gap in your thinking.
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Compare the user's notes with an expert's work on a topic. Return relevant exact quotes, source locations, and at least one gap in the user's thinking. Use only when /signal-from-expert is explicitly invoked.
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Require a corpus (files or folders of the user's thinking), expert, and topic. URLs are optional. Ask for missing inputs in one plain-text question.
Read every named file in full with cat -n. Do not read other files for context.
Check <repo>/essays/<expert-slug>/ for saved pieces. Load the deepapi skill; if the key is unset, use your configured credential-loading method. Make 5+ separate POST /v1/search/web calls, varying <expert> <topic> queries across essays, talks, interviews, and specific sub-questions. Pick the 5–8 most relevant pieces and merge with the user's URLs and saved sources.
Show titles and URLs, one per line, and ask "go?". Wait for approval before scraping.
From the skill directory, fetch all URLs in one batch:
python3 scripts/fetch-sources.py --expert "Paul Graham" --out <repo>/essays/paul-graham \
https://paulgraham.com/startupideas.html https://paulgraham.com/schlep.html
The helper saves each page as NN-slug.md with a header and verbatim text. Check every head/tail preview for the real first and last lines. Remove leftover layout junk without changing the prose.
If <repo>/essays/AGENTS.md is missing, copy assets/essays-AGENTS.md there.
Read every saved source in full with cat -n before writing; use its line numbers for citations.
Use this format with 4 numbered items by default. Repeat the item block as needed, then end with the concluding paragraph:
# DD-MM-YYYY — Signal from <Expert>
Corpus: <files>. Sources: `essays/<expert-slug>/` (N pieces). Agent analysis, not the user's words.
## 1. <Short claim; prefix with "Gap:" for a gap>
<Quote the user's relevant words and explain the connection in 1–2 lines.>
> "<Exact expert quote, 1–4 sentences>"
Full section: `essays/<expert-slug>/NN-slug.md:START-END`
**Co-founder read:** <One paragraph connecting the findings and what to do next.>
Save as <corpus folder>/signal-<expert-slug>.md (a single file's parent folder). Show the full analysis in chat. Do not commit.
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Work through sixteen open questions in four rounds to clarify major product decisions, risky changes, or large refactors. The agent adapts later questions to earlier answers, then turns your decisions into a step-by-step implementation plan.
中文简介正在准备中。当前显示英语简介。
Document approved decisions as concise ADRs, or architecture decision records. It preserves the user's meaning and conditions, removes conversational filler, follows the project's numbering, and presents the saved record for review.
中文简介正在准备中。当前显示英语简介。
Keep a Mac awake for a chosen duration or while a specified process runs. The skill uses built-in macOS tools to manage one session, verify that sleep prevention is active, and control whether the display stays on.
中文简介正在准备中。当前显示英语简介。
Turn a feature or refactoring idea into a concise implementation prompt for another agent. It asks focused questions one at a time, records decisions, and includes development steps, validation, and working rules.
中文简介正在准备中。当前显示英语简介。
Inspect and manage BB threads, environments, projects, and plugins through its command line interface. The skill guides agents to identify the correct targets, apply changes, and verify the resulting state.
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Create, install, and debug TypeScript plugins that extend bb with custom pages, sidebar panels, CLI commands, agent tools, themes, and other features. The skill also guides development reloads, log checks, and verification of installed plugins.
中文简介正在准备中。当前显示英语简介。