Initial commit — research-en skill bundle

5-skill bundle for structured, resumable, parallel deep research:
- /research              — preliminary outline + fields generation
- /research-add-items    — supplement research objects
- /research-add-fields   — supplement field definitions
- /research-deep         — parallel agents per item, resumable, JSON-validated
- /research-report       — JSON to markdown report with TOC

Includes validate_json.py for fields.yaml coverage check (PyYAML required).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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2026-05-04 11:09:40 +03:00
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---
name: research-report
user-invocable: true
description: Summarize deep research results into markdown report, cover all fields, skip uncertain values.
allowed-tools: Read, Write, Glob, Bash, AskUserQuestion
---
# 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 summary fields
- Example: `1. [GitHub Copilot](#github-copilot) - Stars: 10k | Score: 85%`
#### Script Technical Requirements (Must Follow)
**1. JSON Structure Compatibility**
Support two JSON structures:
- Flat structure: Fields directly at top level `{"name": "xxx", "release_date": "xxx"}`
- Nested structure: Fields in category sub-dict `{"basic_info": {"name": "xxx"}, "technical_features": {...}}`
Field lookup order: Top level -> category mapping key -> Traverse all nested dicts
**2. Category Multi-language Mapping**
fields.yaml category names and JSON keys can be any combination (CN-CN, CN-EN, EN-CN, EN-EN). Must establish bidirectional mapping:
```python
CATEGORY_MAPPING = {
"Basic Info": ["basic_info", "Basic Info"],
"Technical Features": ["technical_features", "technical_characteristics", "Technical Features"],
"Performance Metrics": ["performance_metrics", "performance", "Performance Metrics"],
"Milestone Significance": ["milestone_significance", "milestones", "Milestone Significance"],
"Business Info": ["business_info", "commercial_info", "Business Info"],
"Competition & Ecosystem": ["competition_ecosystem", "competition", "Competition & Ecosystem"],
"History": ["history", "History"],
"Market Positioning": ["market_positioning", "market", "Market Positioning"],
}
```
**3. Complex Value Formatting**
- list of dicts (e.g., key_events, funding_history): Format each dict as one line, separate kv with ` | `
- Normal list: Short lists joined with comma, long lists displayed with line breaks
- Nested dict: Recursive formatting, display with semicolon or line breaks
- Long text strings (over 100 chars): Add line breaks `<br>` or use blockquote format for readability
**4. Extra Fields Collection**
Collect fields that exist in JSON but not defined in fields.yaml, put in "Other Info" category. Note to filter:
- Internal fields: `_source_file`, `uncertain`
- Nested structure top-level keys: `basic_info`, `technical_features` etc.
- `uncertain` array: Display each field name on separate line, don't compress into one line
**5. Uncertain Value Skipping**
Skip conditions:
- Field value contains `[uncertain]` string
- Field name is in `uncertain` array
- Field value is None or empty string
### Step 4: Execute Script
Run `python {topic}/generate_report.py`
## Output
- `{topic}/generate_report.py` - Conversion script
- `{topic}/report.md` - Summary report