Research

/research — reuse before you build

Goal: never hand-roll what a proven solution already does well. Find the 80%-fit and adopt/port it.

Do this (in order)

1. In-repo first — does this codebase already solve a near-identical problem? Use the knowledge graph / mgrep (or Grep/Glob if those are unavailable) to find existing patterns, utilities, and conventions.
2. Library docs — use context7 (or the library's primary docs / web if context7 is unavailable) to confirm current API/behavior of candidate libraries (don't answer from memory; versions drift).
3. Code & registries — search GitHub and the relevant package registry (npm / PyPI) for battle-tested implementations or templates that fit ≥80%. When several candidates fit, compare them on fit %, maintenance/activity, license, and footprint — pick deliberately and note the runner-up; don't just grab the first hit.
4. Broader web — only if the above are insufficient (mgrep --web "...", or WebSearch if mgrep is unavailable).

For LLM/agent work, read the harness's relevant references before choosing an approach.

Output

## Reuse decision
- Adopt / port / wrap: <library or repo>  — why it fits
- Build new: <only the genuinely novel part>  — why nothing fits
## Key API facts (from context7) that the plan must respect
## Risks of the chosen dependency (maintenance, license, size)

Exit criterion

A documented build-vs-reuse decision with evidence. Fold it into the spec. Then /harness-claude:plan.