signal-from-expert
Compare the user's notes with an expert's work on a topic.
Skill by davidondrej
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/davidondrej-signal-from-expert
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity, deep-research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/signal-from-expert
What's inside
- Skill name
signal-from-expert- Description
- 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.
- License
- MIT
- Instructions
- 70 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- SKILL.md
- openai.yaml · agents/
- essays-AGENTS.md · assets/
- fetch-sources.py · scripts/
SKILL.md (first lines)
# Signal from Expert ## Inputs 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. ## Workflow ### 1. Read the corpus Read every named file in full with `cat -n`. Do not read other files for context. ### 2. Choose sources 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. ### 3. Scrape and save From the skill directory, fetch all URLs in one batch: ```bash 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. ### 4. Read all sources Read every saved source in full with `cat -n` before writing; use its line numbers for citations. ### 5. Write the analysis Use this format with 4 numbered items by default. Repeat the item block as needed, then end with the concluding paragraph: ```markdown # 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.> ``` - Include at least one **Gap:** item showing where the expert's work challenges the user's thinking or reveals something missing, backed by a quote. - Quote both people exactly; never paraphrase the user's reasoning. Keep expert quotes short and point to full passages in saved files. - One claim per item. Plain English. No hedging. Exclude private personal matters unrelated to the topic. ### 6. Save and show Save as `<corpus folder>/signal-<expert-slug>.md` (a single file's parent folder). Show the full analysis in chat. Do not commit. ## Failures - Truncated source: rerun with a higher `--max-chars`. - Poor search results: ask for URLs instead of guessing. - Fewer than 3 sources: say so and ask; do not pad with weak pieces.
From davidondrej/skills, MIT.
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Signals
- Stars
- 4,167
- Forks
- 612
- Open issues
- 0
- Last commit (this folder)
- Oct 18, 2026 (9 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/davidondrej/skills
- Website
- www.cloudroom.dev
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
signal-from-expert skill. Agent Mart. https://agentmart.dev/skills/davidondrej-signal-from-expert (last updated 2026-10-24)