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.
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.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
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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