Skip to main content
skill CX Codex

research · juliusbrussee — Claude Code skill: what it does, how to install

Gathers verified facts from docs and RFCs into a durable §R research log with sources, preventing agents from hallucinating external APIs.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add JuliusBrussee/cavekit --skill research -a claude-code
Open on GitHub

What research does

The agent triggers research whenever a spec choice depends on an unfamiliar library, API, version, or pattern. It prevents plausible-but-wrong assumptions from polluting the build. Every finding must cite a primary source: official documentation, a repository, an RFC, or a paper. If an assertion cannot be verified, it gets labeled with ? instead of being presented as a fact.

The workflow follows four steps: scoping, gathering, distilling, and handoff. Broad topics get split into one to three precise questions. Long web pages never enter the main context. Instead, the agent compresses each finding into a single §R row with its source. When sources conflict, both are logged so the developer can decide.

Research proposes changes, but it never writes to SPEC.md directly. It hands distilled §R rows to the spec skill. Without the spec skill, those updates will not reach the specification file.

What it helps with

  • check current best practices and RFCs before finalizing specs
  • distill external findings into single-line §R records with sources
  • flag unverified claims with ? instead of hallucinating API behavior
  • hand off discovered constraints to the spec skill

Example prompts for the agent

  • /ck:research check current best practices for refresh-token rotation
  • /ck:research find a maintained JWT library for Node ESM
  • Research Stripe webhook constraints before updating the spec

How to install research

1Skills CLI (Vercel)

npx skills add JuliusBrussee/cavekit --skill research -a claude-code

2Manually: put the files in place

~/.claude/skills/research/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/research/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about research

How to install research in Claude Code?

Run npx skills add JuliusBrussee/cavekit --skill research -a claude-code in your terminal. It adds the research skill to your Claude Code configuration.

What does the research skill do?

It gathers technical facts from official docs and standards, summarizes them into single-line entries with sources, and generates rows for the §R research log.

Does the research skill edit SPEC.md directly?

No, research does not edit the specification directly. It hands off the formatted §R rows to the spec skill, which applies them to the document.

Source text

SKILL.md · MIT
---
name: research
description: |
  Gather external knowledge the spec needs and distill it into §R — the durable
  research log — so build grounds in facts instead of hallucinating library
  behavior. Each finding cites a source; unsourced claims are flagged, never
  written as fact. Triggers when a spec decision hinges on a library/API/best
  practice the agent is unsure of, when the user says "research this", "what's
  the best lib for…", "check current best practice", or invokes /ck:research.
  Defers the §R write to the spec skill.
---

# research — external knowledge → §R

**Every finding cites a source. No source → flag it `?`, never write a guess as fact.**

"Process without library context gives you well-organized hallucinations."
Build invents a plausible-but-wrong API & §B fills with avoidable bugs.
Research is the external oracle: pull the real fact once, log it caveman, never re-derive.

## WHEN TO RESEARCH

- A §C/§I/§V decision hinges on a lib, API, version, or pattern you are unsure of.
- You are about to assume how an external dependency behaves.
- The idea touches a domain with real prior art (auth, payments, crypto, rate-limit).
- `/grill` parked a `?` that the outside world must answer.

Skip when the build touches only code you already wrote. Research scales to the unknown, ⊥ to habit.

## FOUR STEPS

### 1. SCOPE
Turn the unknown into 1-3 concrete questions. Vague "research auth" → "JWT lib
for Node ESM, maintained?" + "refresh-token rotation: current best practice?".
A scoped question gets a citable answer; a vague one gets an essay.

### 2. GATHER
Use web search / docs tools. Prefer primary sources: official docs, the repo,
the RFC, the paper. Two independent sources beat one confident blog. For a big
sweep, spawn a sub-agent so the raw pages never touch this context — it returns
only the distilled finding + source.

### 3. DISTILL
Crush each answer to one caveman line + its source. Drop the prose. The §R row
is the memory; the tab you read is not.

> R3|refresh token|rotate on use, revoke family on reuse-detect|datatracker.ietf.org/doc/html/rfc6819#section-5.2.2.3

### 4. HAND OFF
Emit the §R rows & hand to the **spec** skill to append. If a finding changes a
constraint or interface, note the §C/§I edit for spec too. Research proposes;
spec writes.

## SOURCE DISCIPLINE

- Cite a URL, repo, RFC, or paper per row. Verbatim identifiers/versions.
- Could not verify → write the row but flag `?` in the finding & say so. An
  unverified claim labeled honestly is fine; one disguised as fact is a future §B.
- Conflicting sources → log both, let the user pick. ⊥ silently average them.

## WHEN TO STOP

Done when every scoped question has a sourced §R row (or an honest `?`), and no
build decision still rests on an unchecked assumption. ⊥ research past the
questions you scoped — that is just burning the attention budget.

## BOUNDARIES

- ⊥ write SPEC.md. Hand §R rows to spec.
- ⊥ write a finding as fact without a source.
- ⊥ dump raw pages into context or §R. Distill or it does not land.
- ⊥ research what you can read in the repo. Local truth > web guess.

© JuliusBrussee · MIT · JuliusBrussee/cavekit

Similar skills

All skills for Agent setup: memory, context, orchestration →

research by other authors comes first.

research Matt Pocock Researches a question through primary sources and saves the findings as a Markdown file in the repository. Use it for API facts, documentation checks, and delegated reading. 711,295installs research Weizhena This skill does preliminary research on a topic and drafts an outline: a list of items to study plus the fields to capture for each. Useful before an academic review or a tech comparison. CX Codex +1 742installs research Alireza Rezvani Classifies a research request and hands it to the right specialist skill, or runs its own search workflow. Useful when you want a sourced briefing fast. 348installs research boshu2 Answers bounded questions about code, Git history, and technical claims by citing exact lines, commits, and implementation evidence. CX Codex +1 1,500installs research parcadei Documents the codebase as it exists today without suggesting changes or refactoring. Spawns parallel sub-agents to map components and saves reports to the thoughts directory. CX Codex +1 485installs deep-research 199-biotechnologies Runs multi-stage research, checks claims against sources, and assembles structured reports. Use it for complex analysis and comparisons, not quick lookups. CX Codex +1 10,200installs research-with-sources Inkeep A skill that walks the agent through evidence-driven research: every source is preserved verbatim, findings land in a draft article under research/, and each claim gets a citation. CX Codex +1 826installs academic-deep-research kesslerio A skill that runs multi-step research: two search cycles per theme, an evidence hierarchy and APA 7 citations. Useful for literature reviews and competitive intelligence. CX Codex +1 560installs research-agent parcadei A subagent that gathers external documentation, code examples and best practices through MCP tools, then writes a handoff for the next agent. CX Codex +1 528installs research-external parcadei External research workflow for libraries, docs, and 2024–2025 best practices without touching local repository files. Queries Perplexity, Nia Docs, and Firecrawl. CX Codex +1 501installs interview-me pedrohcgs Runs a multi-turn interview and turns a half-formed research idea into a structured spec: question, hypotheses, identification, data, empirical strategy. CX Codex +1 ★ 1,668repo stars

From the same set9

Project sponsors

Companies that keep this analytics open
Gold sponsor

Impressions, clicks and code copies — open statistics. We keep the numbers public for the same reason NeBlask itself is public. Become a sponsor