research-engine
Autonomous research pipeline — topic to structured documents with HTML/PDF output. Proven at HEL (28 docs, 91K words) and OOPS (9 docs, 20K words) scale.
Profile →npx skills add majiayu000/claude-skill-registry --skill research-engine --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Research Engine Activates when user requests deep research, investigation, or analysis of a topic that will produce multiple structured documents. ## Pipeline ``` TOPIC → DECOMPOSE → PARALLEL RESEARCH → AGGREGATE → STRUCTURE → BUILD → PUBLISH ``` ### Stage 1: Decompose Break the research topic into 4-12 investigation tracks. Each track becomes one document. ### Stage 2: Parallel Research Launch research agents (2-6 in parallel) with specific investigation briefs. Use `run_in_background: true` for independence. ### Stage 3: Aggregate Collect findings. Check for contradictions. Identify cross-references. ### Stage 4: Structure Organize into a numbered document series with: - Index page (index.html) - Individual research documents (research/NN-slug.md) - Knowledge graph (knowledge-nodes.json) - Retrospective (retrospective.md) ### Stage 5: Build Convert markdown to HTML and PDF using pandoc + xelatex: ```bash bash build.sh # Uses template.tex and html-template.html ``` ### Stage 6: Publish Commit, tag, merge to main, push, create GitHub release, FTP sync to configured remote host. ## Quality Standards - Minimum 1,500 words per document - Every claim needs evidence or explicit reason
- Pipeline
- Stage 1: Decompose
- Stage 2: Parallel Research
- Stage 3: Aggregate
- Stage 4: Structure
- Stage 5: Build
- Stage 6: Publish
- Quality Standards
- Project Codes
- Build Infrastructure
bash build.sh # Uses template.tex and html-template.html
What does the research-engine skill do?
Autonomous research pipeline — topic to structured documents with HTML/PDF output. Proven at HEL (28 docs, 91K words) and OOPS (9 docs, 20K words) scale.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill research-engine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.