Deep Research
Generate comprehensive research reports with verified citations from multiple sources.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/deep-research-jordan-gibbs/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
Deep research in Claude Code with hyperresearch. Use when the user asks for deep research, a research report, a literature review, or a multi-source analysis with verified citations. Checks that the hyperresearch CLI is installed, sets it up in the current project, then hands off to the /hyperresearch pipeline (a tier-adaptive 16-step pipeline with a persistent source vault). Not for quick lookups one or two searches can answer.
What this skill does
Deep research with hyperresearch
This skill is a bootstrap. The research pipeline itself is the hyperresearch
skill plus 16 step skills and a set of subagents, which the hyperresearch
Python package renders and installs into the project's .claude/ directory.
This file does not contain the pipeline. Do not try to run the research from
here.
1. Check the CLI
Run:
hyperresearch --version
If the command is not found, stop and tell the user:
hyperresearch is not installed. Install it with
pip install hyperresearch(Python 3.11 to 3.14), then ask again.
You may run pip install hyperresearch yourself only if the user says to.
2. Install into this project
If .claude/skills/hyperresearch/SKILL.md does not exist in the working
directory, run:
hyperresearch install . --json
This creates the vault (.hyperresearch/, research/), adds a short block to
CLAUDE.md, and installs the entry skill, the 16 step skills, the subagents
and a PreToolUse hook under .claude/. It is safe to re-run; it no-ops on
files that are already current.
Tell the user in one line what was installed.
3. Hand off
Invoke the installed router with the user's research request, verbatim:
Skill(skill: "hyperresearch", args: "<the user's research request>")
From then on, follow the hyperresearch skill. It owns the query, the tier
choice, and every step.
If the hyperresearch skill is not available yet (Claude Code loads new
subagents at session start, and some versions do the same for skills), tell
the user that setup is done and ask them to restart Claude Code in this
directory and run:
/hyperresearch <their research request>
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