research
Gather evidence, sources, data, and examples for a writing project.
Skill by jamierumbelow
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/jamierumbelow-research
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: data, writing, research, productivity
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
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/research
What's inside
- Skill name
research- Description
- Gather evidence, sources, data, and examples for a writing project. Searches the web, cass, and the vault, then drops structured findings into a research note. Designed for Jamie's evidence-heavy analytical writing style.
- License
- MIT
- Instructions
- 191 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Research Gather raw material for a piece of writing. The output is a research note, not a finished draft. The goal is to give Jamie a pile of specific, sourced, well-organised evidence to work with. ## What good research looks like for Jamie's writing Look at pieces like "Flying Blind," "Market Quality," and "Steam Networks" (in the vault and at worksinprogress.co). The evidence that makes them work is: - **Named sources with links.** Not "research shows" but a specific paper, article, or dataset with a URL. - **Specific numbers.** Not "a lot of housing" but "9,300 units permitted in Q3 2025." Not "the system is large" but "105 miles of pipework" and "$3,555.43 per month standing charge." Precision is the difference between generic writing and Jamie's writing. - **Named people and institutions.** James Scott, the ONS, Napoleon's cadastre, Birdsill Holly, Consolidated Edison. Proper nouns are always better than vague references. People with vivid details are even better: Wallace Andrews was "a popular dandy with a flair for equipage and flowered vests." - **Primary source archaeology.** Dig for the original document, not the summary of it. Archive.org PDFs, patent records, Library of Congress photographs, government datasets, regulatory filings, contemporary accounts. "Steam Networks" cites a 1930s corporate history PDF, NYC Department of Buildings data, and ConEd engineering specifications. "Flying Blind" cites a National Audit, a Cambridge paper on ONS methodology, and specific tweets from named people. - **Calculated examples.** Don't just report a number; show what it means in context. "Heating the Empire State Building would need more than 45 tons of coal per day, roughly two shipping containers' worth." Work out per-unit costs from aggregate data. Convert between units to make comparisons vivid. - **Historical and international comparisons.** Jamie contextualises claims with precedent and cross-country evidence. Manhattan's steam vs Copenhagen's hot water. The ONS vs DOGE vs Gosplan. This is where the intellectual range shows. - **Counterarguments and complications.** Not just evidence for the thesis, but evidence against it, or edge cases that need addressing. "Steam Networks" gives a fair hearing to steam's advantages even while explaining why the world moved to hot water. - **Colourful detail that earns its place.** A good anecdote or quote is worth paragraphs of exposition. The anthracite user who declared that "if the world should take fire, the Lehigh coal mine would be the safest retreat." The Centralia mine fire still burning since 1962. These aren't decoration; they make technical material vivid and memorable. Look for them deliberately. ## How to research ### 1. Understand the brief $ARGUMENTS gives a topic, thesis, or question. Before searching, clarify: - What's the central question or argument? - What kind of evidence would strengthen it? (data, case studies, historical precedent, expert opinion, counterexamples) - What does Jamie already know about this? Check the vault and cass. ### 2. Search the vault and cass first Before going to the web, check what already exists locally: - Search the vault for related notes, prior writing, or worklog entries on the topic. - Search cass for prior sessions where the topic came up. Jamie may have already discussed, debated, or researched aspects of this. ```bash cass search "<topic>" --robot --limit 5 --fields summary --days 90 ``` This grounds the research in Jamie's existing thinking and avoids duplicating work. ### 3. Search the web Use web search to find: - **Primary sources**: government data, academic papers, official reports, legislation, company filings, engineering specifications, regulatory tariff schedules. These are the backbone of Jamie's writing. A ConEd service specification PDF or a NYC Department of Buildings dataset is worth more than ten news articles. - **Archival material**: archive.org scans, Library of Congress records, historical photographs, patent filings, contemporary accounts. Jamie's historical writing draws on original documents, not Wikipedia summaries of them. Search archive.org directly when relevant. - **High-quality secondary sources**: Works in Progress, Asterisk, the FT, The Economist, Marginal Revolution, Age of Invention, Pedestrian Observations, Construction Physics, and specific policy blogs Jamie reads (see the vault blogroll). - **Specific data points**: statistics, survey results, time series. Look for numbers precise enough to calculate from. Per-unit costs, per-capita figures, conversion factors, rates of change. - **Named experts, inventors, and characters.** People make technical writing vivid. Find out who did the thing, what they were like, what they said about it. - **Counterarguments**: the strongest version of the opposing view. Prefer sources Jamie would actually cite. He reads widely across economics, policy, technology, urbanism, history, and philosophy. Academic papers and serious policy writing carry more weight than news aggregators or hot takes. But a well-chosen tweet from a domain expert (named, linked) is also fair game. ### 4. Fetch and verify For each promising source, fetch the page to confirm it actually says what the search snippet suggests. Pull out the specific relevant quote, statistic, or finding. Note the author, publication, and date. Don't include sources you haven't verified. A broken link or a misattributed quote is worse than a gap. ## Output format Write findings to a research note in the vault. If the piece already has a
From jamierumbelow/agentfiles, MIT.
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Signals
- Stars
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- Forks
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- Last commit (this folder)
- Mar 23, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/jamierumbelow/agentfiles
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/jamierumbelow-research (last updated 2026-10-24)