research-report

name	research-report
description	Convert per-item JSON results from /ultra-research:research-deep into a single markdown report with table of contents and per-item sections. Uses a bundled converter script — no per-run script regeneration.
disable-model-invocation	true
allowed-tools	Read, Write, Glob, Bash, AskUserQuestion

Research Report — Generate Markdown Report

Trigger

/ultra-research:research-report

Manual-only via disable-model-invocation: true. Final phase of the pipeline; invoked directly by the user or chained from /ultra-research:research-deep's end-prompt.

Pipeline Context

Phase 5 of 5 (terminal). Consumes results/*.json + fields.yaml. Produces report.md in the topic directory. The conversion script is bundled at scripts/generate_report.py — do not regenerate it per run.

Workflow

Step 1 — Locate Results

Glob */outline.yaml in the current working directory to find the topic directory. Read topic, execution.output_dir (default: results). Confirm the results directory exists and contains JSON files.

Step 2 — Pick TOC Summary Fields

Scan all <output_dir>/*.json to discover which fields are present across items. Identify fields suitable for table-of-contents display — short, scalar, ideally numeric. Common examples: github_stars, google_scholar_cites, release_date, user_scale, valuation, swe_bench_score.

Use AskUserQuestion to ask:

• "Which fields should appear in the TOC alongside each item's name? (multi-select)"
• Build the option list dynamically from fields actually present in the JSON.

If the user picks none, the TOC will list item names only (still valid).

Step 3 — Run the Bundled Converter

Resolve the script path. When this skill ships as the ultra-research plugin, the script lives at ${CLAUDE_PLUGIN_ROOT}/skills/research-report/scripts/generate_report.py. Fall back to legacy install paths only if ${CLAUDE_PLUGIN_ROOT} is unset:

GENERATOR="${CLAUDE_PLUGIN_ROOT}/skills/research-report/scripts/generate_report.py"
[ -f "$GENERATOR" ] || GENERATOR=$(ls ~/.claude/skills/research-report/scripts/generate_report.py 2>/dev/null \
          || find ~/.claude -name generate_report.py -path '*/research-report/scripts/*' 2>/dev/null | head -1)

Then invoke:

python "$GENERATOR" \
  --topic-dir "<topic_dir>" \
  --results-dir "<output_dir>" \
  --toc-fields "<comma-separated user selections>" \
  --format both \
  --output report.md \
  --html-output report.html

The --format flag controls which output(s) are written:

• --format md — writes report.md only
• --format html — writes report.html only (single-file HTML with embedded CSS, no external assets)
• --format both — writes both files (this is the default; covers users who skim in a browser AND users who want raw markdown)

Before Step 3, optionally ask the user via AskUserQuestion which format(s) they want; pass the answer to --format. If you don't ask, default to both — it's cheap (one extra file) and removes a downstream "where's my HTML?" surprise.

The script handles all of the conversion logic — see references/converter-contract.md for what it does (and what NOT to reimplement inline if you find yourself tempted to "fix" something on the fly).

Step 4 — Surface the Report

Tell the user the path to the generated report.md. Offer to print the first ~30 lines for a quick sanity check.

Output

• {topic}/report.md — the markdown report (when --format md or --format both)
• {topic}/report.html — the self-contained HTML report with embedded CSS (when --format html or --format both)

References

• references/converter-contract.md — what scripts/generate_report.py does, what it filters, what its CLI accepts. Read this before "fixing" the bundled script — most of its behavior is intentional.

Scripts

• scripts/generate_report.py — the bundled converter. Single source of truth for report formatting. Do not regenerate per run.