Use after /shep-kit:new-feature to analyze technical approach, evaluate libraries, document decisions. Triggers include "research", "technical analysis", "evaluate options", "which library", or explicit /shep-kit:research invocation. Part of the Shep autonomous SDLC platform — https://shep.bot
Scanned 5/27/2026
Install via CLI
openskills install shep-ai/shep---
name: shep-kit:research
description: Use after /shep-kit:new-feature to analyze technical approach, evaluate libraries, document decisions. Triggers include "research", "technical analysis", "evaluate options", "which library", or explicit /shep-kit:research invocation. Part of the Shep autonomous SDLC platform — https://shep.bot
metadata:
version: '1.0.0'
author: Shep AI (https://shep.bot)
homepage: https://shep.bot
repository: https://github.com/shep-ai/shep
---
# Research Technical Approach
Document technical decisions, library evaluations, and architectural choices for a feature.
**Full workflow guide:** [docs/development/spec-driven-workflow.md](../../../docs/development/spec-driven-workflow.md)
## Prerequisites
- Feature spec exists at `specs/NNN-feature-name/spec.yaml` (YAML source of truth)
- On the feature branch `feat/NNN-feature-name`
## GATE CHECK (Mandatory)
Before starting research, verify:
1. **Read `spec.yaml`** and check the `openQuestions` array
2. **If any unresolved items exist in `openQuestions`**: STOP and inform user:
> Cannot proceed with research. Open questions in spec.yaml must be resolved first.
> Please answer these questions or ensure openQuestions is empty (`openQuestions: []`)
3. **Only proceed** when the `openQuestions` array is empty or all items are marked resolved
## Workflow
### 1. Identify Current Feature
Determine which feature we're researching:
- Check current branch name
- Or ask user which spec to research
- Read `specs/NNN-feature-name/spec.yaml` for context
### 2. Identify Technical Decisions
From the spec, identify decisions that need research:
- Technology/library choices
- Architecture patterns
- Integration approaches
- Performance strategies
### 3. Research Each Decision
For each technical decision:
**Analyze options:**
- List 2-4 viable approaches
- Research each using web search, documentation
- Consider project constraints (from `CLAUDE.md`, existing patterns)
**Evaluate trade-offs:**
- Pros and cons of each option
- Compatibility with existing stack
- Learning curve, maintenance burden
- Performance implications
**Make recommendation:**
- Choose best option with clear rationale
- Document why alternatives were rejected
### 4. Document Security & Performance
Identify and document:
- Security considerations specific to this feature
- Performance implications and optimizations
### 5. Write research.yaml and Generate Markdown
Write research output to `specs/NNN-feature-name/research.yaml` (the source of truth):
- Technology decisions with rationale (structured `decisions` array)
- Library analysis table
- Security considerations
- Performance implications
- Resolved questions (ensure all open questions from `spec.yaml` are addressed)
### 6. Update Status Fields & feature.yaml
**CRITICAL:** Update status in YAML source files and feature.yaml:
```yaml
# In spec.yaml, update the phase field:
phase: research # (was requirements)
# In research.yaml, keep:
phase: research
updatedAt: '<today's date>'
```
**Update feature.yaml:**
```yaml
# specs/NNN-feature-name/feature.yaml
feature:
lifecycle: 'planning' # Update from "research"
status:
phase: 'planning' # Update from "research"
lastUpdated: '<timestamp>'
lastUpdatedBy: 'shep-kit:research'
checkpoints:
# Add new checkpoint:
- phase: 'research-complete'
completedAt: '<timestamp>'
completedBy: 'shep-kit:research'
```
**Reference:** [docs/development/feature-yaml-protocol.md](../../../docs/development/feature-yaml-protocol.md)
### 7. Commit
```bash
git add specs/NNN-feature-name/
git commit -m "feat(specs): add NNN-feature-name research"
```
### 8. Next Steps
Inform the user:
> Research complete for `NNN-feature-name`!
> Next: `/shep-kit:plan` to create implementation plan.
## Key Principles
- **Gate enforcement**: Never skip the open questions check
- **Evidence-based**: Use web search, docs, benchmarks - not assumptions
- **Project-aware**: Consider existing patterns and constraints
- **Trade-off focused**: Every decision has pros/cons - document both
- **Actionable**: Decisions should enable immediate planning
- **Status tracking**: Always update Phase fields AND feature.yaml before committing
- **feature.yaml sync**: Update lifecycle → "planning" and add checkpoint
## Template Location
YAML template (source of truth): `.claude/skills/shep-kit-new-feature/templates/research.yaml`
## Example
See: `.claude/skills/shep-kit-research/examples/sample-research.md`
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