ship-research
Skill1 starsChanged 7 months agoMITView on GitHub
Spawn parallel research subagents to investigate tech choices, libraries, and patterns based on discovered requirements. Produces RESEARCH.md. Must run after ship-discover.
In this repository43 other files it gives its agents.
- accessibilitySkill
- agent-evalSkill
- agentic-engineeringSkill
- ai-regression-testingSkill
- api-designSkill
- atomic-planningSkill
- backend-patternsSkill
- coding-standards-eccSkill
- context-engineeringSkill
- frontend-patternsSkill
- git-worktreesSkill
- langchain-dependenciesSkill
- langchain-fundamentalsSkill
- langchain-middlewareSkill
- langchain-ragSkill
- langgraph-fundamentalsSkill
- langgraph-persistenceSkill
- minimalist-skillSkill
- output-skillSkill
- redesign-skillSkill
- security-scanSkill
- ship-architectSkill
- ship-autoSkill
- ship-bugfixSkill
- ship-deploySkill
- ship-discoverSkill
- ship-executeSkill
- ship-finish-branchSkill
- ship-newSkill
- ship-planSkill
- ship-resumeSkill
- ship-reviewSkill
- ship-settingsSkill
- ship-specSkill
- ship-statusSkill
- ship-testSkill
- ship-worktreeSkill
- soft-skillSkill
- systematic-debuggingSkill
- taste-skillSkill
- test-driven-developmentSkill
- two-stage-reviewSkill
- verification-before-completionSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 10
Read .claude/state/CONTEXT.md.
- Distinctive: line 28
Wait for all researchers to complete.
- Very specific: line 38
Update progress.json: set phases.research.status to "complete".
- Distinctive: line 48
If a research area yields no useful results, note this in RESEARCH.md rather than guessing.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Research — Parallel tech investigation
Pre-condition
Read .claude/state/CONTEXT.md. If it does not exist, tell the user to run /bayes-ship:ship-discover first.
Process
- Analyze CONTEXT.md to identify 3-5 research areas. Examples:
- "Best auth library for Next.js with M-Pesa integration"
- "Card component patterns for invoice UI"
- "Payment reconciliation: callback handling, retry logic"
- "LangGraph vs CrewAI for agent orchestration"
- Announce the research areas to the user: "I've identified N research areas. Spawning parallel researchers. This takes 2-3 minutes."
- For each research area, dispatch a fresh subagent using the Task tool with:
- The research question as the primary instruction
- Relevant context from CONTEXT.md (only the parts related to this area)
- Instruction to write findings to
.claude/state/research/{area-slug}.md
- Wait for all researchers to complete.
- Dispatch a Synthesizer subagent that:
- Reads all files in
.claude/state/research/ - Produces
.claude/state/RESEARCH.mdwith:- Recommendations per area (what to use and why)
- Trade-offs considered
- Selected approaches
- Links to relevant documentation
- Reads all files in
- Update
progress.json: setphases.research.statusto"complete". - Present key recommendations to the user as a brief summary.
- Output: "Ready. Run
/bayes-ship:ship-specto generate the PRD."
Rules
- This phase is fully autonomous. Do not ask the user for input during research.
- Each researcher subagent gets a clean context. Do not pass the full CONTEXT.md to every researcher — only the relevant section.
- If a research area yields no useful results, note this in RESEARCH.md rather than guessing.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

