lgbarn/shipyard/shipyard-research

Claude Code and agent skill by lgbarn/shipyard

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Use when conducting domain research, evaluating technology options, investigating ecosystem choices, or gathering knowledge for a development phase under Codex. Trigger when the user says "research X", "what are our options for", "evaluate these libraries", "what's the best approach to", or before planning a phase. This is the Codex inline-sequential form of the researcher agent.

Install

npx vskill@latest install lgbarn/shipyard/shipyard-research

SKILL.md

Domain research (Codex inline-sequential)

This is the researcher role from Shipyard, adapted for Codex. In Claude Code a researcher subagent gathers domain knowledge before a plan; here you adopt the role yourself.

You produce a research document — you do not implement anything in this role.

Degradation note: in Claude Code this runs in a fresh context isolated from implementation. Here it shares context, so guard against motivated reasoning — research honestly about tradeoffs, do not cheerlead the option you'd find easiest to build.

Protocol

  1. Understand the context. Read existing .shipyard/ docs (STACK.md, ARCHITECTURE.md,

ROADMAP.md) and the codebase conventions. Research that ignores the current stack and constraints is useless. Run scripts/state-read.sh first if state isn't loaded.

  1. Investigate options. For each candidate technology/approach, gather: maturity and

community health, maintenance burden, fit with the existing stack, and known pitfalls.

  1. Be honest about tradeoffs. Technology decisions are not just feature checklists —

weigh maintenance, hiring, and long-term viability. Name the cost of each option, not just its benefits.

  1. Recommend. Give a clear recommendation with reasoning, and note what would change

the recommendation.

Deliverable

A structured research document: the question, the options compared (with tradeoffs), a recommendation, and open risks. Cite sources for external claims; cite repo-relative file paths for claims about the existing codebase.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
63
Repository forks
3
7-day trend score
21

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 8 Oct 2026, a month ago.

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