Agent skill · Backend & API

research

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.

JuliusBrusseegithub.com/JuliusBrusseeGitHub ↗
claude-codeMIT
Install
npx skills add JuliusBrussee/cavekit --skill research --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/research/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,133

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 s

What's inside
Steps it walks through
  1. WHEN TO RESEARCH
  2. FOUR STEPS
  3. 1. SCOPE
  4. 2. GATHER
  5. 3. DISTILL
  6. 4. HAND OFF
  7. SOURCE DISCIPLINE
  8. WHEN TO STOP
  9. BOUNDARIES
More from cavekit
All skills →
About this skill
What does the research skill do?

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.

How do I install it?

Run `npx skills add JuliusBrussee/cavekit --skill research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From JuliusBrussee/cavekit, a repository with 1,133 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going