← ClaudeAtlas

research-enginelisted

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.
Tibsfox/gsd-skill-creator · ★ 61 · AI & Automation · score 75
Install: claude install-skill Tibsfox/gsd-skill-creator
# 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 tibsfox.com. ## Quality Standards - Minimum 1,500 words per document - Every claim needs evidence or explicit reasoning - Cross-references between documents - Fact-check pass before final publish - Three output formats: markdown (source), HTML (reading), PDF (sharing) ## Project Codes Each research project gets a 3-4 letter code added to series.js: - HEL (Helium Supply Chain) - OOPS (Ecosystem Alignment) - OPE