ito-research
Conduct structured research for feature development, technology evaluation, or problem investigation. Use when the user needs to explore options, analyze trade-offs, or investigate technical approaches.
Install
mkdir -p .claude/skills/ito-research && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13488" && unzip -o skill.zip -d .claude/skills/ito-research && rm skill.zipInstalls to .claude/skills/ito-research
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Conduct structured research for feature development, technology evaluation, or problem investigation. Use when the user needs to explore options, analyze trade-offs, or investigate technical approaches.About this skill
Ito Research
Use this skill for technology evaluation, feature research, proposal review, and recommendation synthesis.
Template Map
| Goal | Template |
|---|---|
| Stack / library choice | @research-stack.md |
| Feature landscape / competitor scan | @research-features.md |
| Architecture / pattern design | @research-architecture.md |
| Pitfalls / anti-patterns | @research-pitfalls.md |
| Final recommendation | @research-synthesize.md |
| Security review | @review-security.md |
| Scale / performance review | @review-scale.md |
| Edge-case review | @review-edge.md |
Workflow
- For new features/tech: stack → features → architecture → pitfalls → synthesis.
- For proposal review: security and/or scale and/or edge-case review, depending on risk.
Output Location
Save research under the Ito directory. For absolute paths:
ITO_ROOT="$(ito path ito-root)"
Then save to:
$ITO_ROOT/research/{{topic}}/for feature/technology research$ITO_ROOT/changes/{{change_id}}/reviews/for change reviews
Integration with Ito Workflow
Research outputs can feed proposals and designs: run the relevant templates, save the results, reference them in proposal.md / design.md, and use them to shape tasks.md.