research-report-weizhena-deep-research-skills-2
Summarize deep research results into markdown report, cover all fields, skip uncertain values.
npx skills add majiayu000/claude-skill-registry --skill research-report-weizhena-deep-research-skills-2 --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 Report - Summary Report ## Trigger `/research-report` ## Workflow ### Step 1: Locate Results Directory Find `*/outline.yaml` in current working directory, read topic and output_dir config. ### Step 2: Scan Optional Summary Fields Read all JSON results, extract fields suitable for TOC display (numeric, short metrics), e.g.: - github_stars - google_scholar_cites - swe_bench_score - user_scale - valuation - release_date Use AskUserQuestion to ask user: - Which fields to display in TOC besides item name? - Provide dynamic options list (based on actual fields in JSON) ### Step 3: Generate Python Conversion Script Generate `generate_report.py` in `{topic}/` directory, script requirements: - Read all JSON from output_dir - Read fields.yaml to get field structure - Cover all field values from each JSON - Skip fields with values containing [uncertain] - Skip fields listed in uncertain array - Generate markdown report format: Table of contents (with anchor links + user-selected summary fields) + Detailed content (by field category) - Save to `{topic}/report.md` **TOC Format Requirements**: - Must include every item - Each item displays: number, name (anchor link), user-selected su
- Trigger
- Workflow
- Step 1: Locate Results Directory
- Step 2: Scan Optional Summary Fields
- Step 3: Generate Python Conversion Script
- Step 4: Execute Script
- Output
What does the research-report-weizhena-deep-research-skills-2 skill do?
Summarize deep research results into markdown report, cover all fields, skip uncertain values.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill research-report-weizhena-deep-research-skills-2 --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.