Is the Research Deep skill free?

Yes. The skill itself is free from Weizhena/Deep-Research-skills. SkillProof publishes the install command and an independent test verdict at no cost.

What is the Research Deep SkillProof Score?

9.2/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 8/10, docs & honesty 5/5.

How do I install Research Deep?

Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.

Can I use Research Deep with Cursor, Copilot, Gemini CLI, Codex or other AI tools?

The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.

Research Deep

Fan-out parallel research agents over an outline.yaml, validated against a field schema

by Weizhena · Weizhena/Deep-Research-skills

Tested · Works

Install — copy the command Download source ↗

Test report

Verdict: Tested · Works
Score: 9.2/10
Tested: Jul 17, 2026
Environment: Claude Code 2.x (agent harness)
Upstream re-checked: Aug 10, 2026 · 7bfdbcb

Ran the bundled validate_json.py live against two research JSONs for the same item: the free-form baseline scored 50% field coverage and FAILED (it wrote 'pricing' where the schema wanted 'pricing_model'), while the skill-conformant output hit 100% coverage, PASSED, and carried an explicit uncertain[] array. The validator's non-zero exit is what forces the agent to close the gap, so the schema discipline is real, not cosmetic.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

Installs cleanly 5/5
Triggers reliably 5/5
Output vs. baseline 8/10
Docs & honesty 5/5

What Research Deep does

Two-phase research workflow for Claude Code: it reads an outline.yaml, launches one background agent per item, and writes structured JSON that a bundled Python validator checks for full field coverage. Triggers on /research-deep or requests to deep-research each item of a research outline.

How to install Research Deep

git clone https://github.com/Weizhena/Deep-Research-skills.git
mkdir -p ~/.claude/skills ~/.claude/agents
cd Deep-Research-skills && cp -r skills/research-en/* ~/.claude/skills/ && cp agents/web-search-agent.md ~/.claude/agents/ && cp -r agents/web-search-modules ~/.claude/agents/ && pip install pyyaml

Skills live in ~/.claude/skills/ (global) or .claude/skills/ (per-project). Restart Claude Code after installing.

Commands — how to trigger Research Deep

/research-deep Fan-out parallel research agents over an outline.yaml, validated against a field schema

It also activates on plain-language prompts like these:

Deep-research every item in my outline.yaml into structured JSON output
Fan out background agents to research each competitor in my report
Validate my research JSON against our field schema and flag missing gaps

Frequently asked questions

Is the Research Deep skill free?: Yes. The skill itself is free from Weizhena/Deep-Research-skills. SkillProof publishes the install command and an independent test verdict at no cost.
Does Research Deep work with Claude Code?: We tested it with Claude Code 2.x (agent harness) on Jul 17, 2026. Verdict: Tested · Works. Ran the bundled validate_json.py live against two research JSONs for the same item: the free-form baseline scored 50% field coverage and FAILED (it wrote 'pricing' where the schema wanted 'pricing_model'), while the skill-conformant output hit 100% coverage, PASSED, and carried an explicit uncertain[] array. The validator's non-zero exit is what forces the agent to close the gap, so the schema discipline is real, not cosmetic.
What is the Research Deep SkillProof Score?: 9.2/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 8/10, docs & honesty 5/5.
How do I install Research Deep?: Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use Research Deep with Cursor, Copilot, Gemini CLI, Codex or other AI tools?: The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.