Skills for Real Engineers. Straight from my .agents directory.
research-report
Agent skill fromWeizhena/Deep-Research-skills
Summarize deep research results into markdown report, cover all fields, skip uncertain values.
How to install research-report
npx skills add Weizhena/Deep-Research-skills# or add only this skill to Claude Code: copy the folder
skills/research-codex-en/research-report/
# into
~/.claude/skills/research-report/ (all projects)
.claude/skills/research-report/ (one project)
1# Research Report - Summary Report23## Trigger4`/research-report`56## Workflow78### Step 1: Locate Results Directory9Find `*/outline.yaml` in current working directory, read topic and output_dir config.1011### Step 2: Scan Optional Summary Fields12Read all JSON results, extract fields suitable for TOC display (numeric, short metrics), e.g.:13- github_stars14- google_scholar_cites15- swe_bench_score16- user_scale17- valuation18- release_date1920Use request_user_input to ask user:21- Which fields to display in TOC besides item name?22- Provide dynamic options list (based on actual fields in JSON)2324### Step 3: Generate Python Conversion Script25Generate `generate_report.py` in `{topic}/` directory, script requirements:26- Read all JSON from output_dir27- Read fields.yaml to get field structure28- Cover all field values from each JSON29- Skip fields with values containing [uncertain]30- Skip fields listed in uncertain array31- Generate markdown report format: Table of contents (with anchor links + user-selected summary fields) + Detailed content (by field category)32- Save to `{topic}/report.md`3334**TOC Format Requirements**:35- Must include every item36- Each item displays: number, name (anchor link), user-selected summary fields37- Example: `1. [GitHub Copilot](#github-copilot) - Stars: 10k | Score: 85%`3839#### Script Technical Requirements (Must Follow)4041**1. JSON Structure Compatibility**42Support two JSON structures:43…
Excerpt shown under the repository's MIT license.
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