research
Research and analyze feature viability - GO/NO-GO decision gate
Install / Use
npx skills add shanraisshan/claude-code-best-practiceInstalls into whichever agent you are using.
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Our assessment of research
research scores 94/100 on our quality scale, 17th of 127 Education & Research skills we index (top 14%).
Its Claude Commands is 12 KB long, well organised into 20 sections with 1 code example: a thorough specification that gives an agent plenty to work with.
With 66,294 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated yesterday, so research is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
research compared with similar skills
All 4 of these similar skills score higher than research; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| research (this skill)by shanraisshan | 94 | 66.3k | 1d ago | Claude Commands |
| claude-memby thedotmack | 100 | 94.7k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 85.4k | 10d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 84.2k | 13d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.8k | today | CLAUDE.md |
Frequently asked questions
- How do I install research?
- Run
npx skills add shanraisshan/claude-code-best-practice. The install tabs above show the steps for each supported agent. - Which AI agents does research work with?
- It is written for Claude Code, as a Claude Commands file. Other agents that read the same format can often use it too.
- Is research safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is research still maintained?
- The repository was last updated yesterday, so research is actively maintained.
Skill content
View source on GitHubdescription: Research and analyze feature viability - GO/NO-GO decision gate argument-hint: "<feature-slug>"
User Input
$ARGUMENTS
You MUST parse the user input to extract the feature slug (the folder name in rpi/).
Expected Input Format: rpi/{feature-slug}/REQUEST.md
Purpose
This command performs comprehensive research and analysis of feature requests before the planning phase begins. It acts as a critical GO/NO-GO gate to determine whether a feature idea should proceed to detailed planning.
Key Objectives:
- Assess product-market fit and user value
- Evaluate technical feasibility and complexity
- Identify risks and potential blockers
- Determine the right approach (build, buy, partner, or decline)
- Make go/no-go recommendation with clear rationale
Prerequisites:
- Feature folder exists at
rpi/{feature-slug}/ - Feature request file exists at
rpi/{feature-slug}/REQUEST.md
Output Location: rpi/{feature-slug}/research/RESEARCH.md
This is Step 2 of the RPI Workflow (after initial feature description in Step 1).
Outline
- Load Context: Read feature description from
rpi/{feature-slug}/and project constitution (if exists) - Parse Feature Request: Use requirement-parser agent to extract structured requirements
- Execute Multi-Phase Research:
- Phase 1: Parse Feature Request (requirement-parser agent)
- Phase 2: Product Analysis with Constitution Alignment (product-manager agent)
- Phase 2.5: Technical Discovery (Explore agent) - CRITICAL: Deep code exploration
- Phase 3: Technical Feasibility (senior-software-engineer agent)
- Phase 4: Strategic Assessment (technical-cto-advisor agent)
- Phase 5: Generate Research Report (documentation-analyst-writer agent)
- Synthesize Recommendation: Combine all analyses into clear go/no-go recommendation
- Validate Output: Check against quality gates
- Report Completion: Provide recommendation, next steps, and report location
Phases
Phase 0: Load Context
Prerequisites: Feature slug provided, rpi/{feature-slug}/REQUEST.md exists
Process:
-
Read feature description:
- Read
rpi/{feature-slug}/REQUEST.md(required) - Extract feature requirements and goals from REQUEST.md
- Read
-
Check for project constitution (optional):
- Look for a constitution or principles document in the repository
- Common locations:
constitution.md,PRINCIPLES.md,.project/constitution.md - If found, extract core principles, constraints, and objectives
-
Create research context:
- Synthesize into concise summary for agents
- Identify key alignment criteria
Outputs:
- Feature description summary
- Constitutional principles (if found)
- Alignment criteria for evaluation
Validation:
- [ ] Feature folder exists in
rpi/{feature-slug}/ - [ ] Feature description extracted
- [ ] Constitution checked and loaded (if exists)
Phase 1: Parse Feature Request
Prerequisites: Phase 0 complete
Agent: requirement-parser (planning domain)
Process:
-
Launch requirement-parser agent with feature description
-
Agent extracts:
- Feature name and type
- Target component(s)
- Goals and objectives
- Functional and non-functional requirements
- Constraints and assumptions
- Complexity estimate
- Clarifying questions (if any)
-
Review parsing results:
- If clarifying questions exist, STOP and ask user before proceeding
Outputs:
- Structured requirements document
- Feature metadata (name, type, component, complexity)
- Clarifying questions (if any)
Phase 2: Product Analysis with Constitution Alignment
Prerequisites: Phase 1 complete, requirements clear
Agent: product-manager
Process:
-
Launch product-manager agent with:
- Parsed requirements from Phase 1
- Constitutional context from Phase 0
-
Agent analyzes:
- User Value: Who benefits? How much impact?
- Market Fit: Does this align with market needs?
- Product Vision: Does this fit our product strategy?
- Constitutional Alignment: Does this align with project principles?
- Constraints Check: Does this violate any constitutional constraints?
-
Agent provides:
- Product viability score (High/Medium/Low)
- User value assessment
- Strategic alignment evaluation
- Priority recommendation
- Product concerns or red flags
Outputs:
- Product viability assessment
- User value analysis
- Strategic alignment score
- Constitutional alignment summary (if applicable)
Phase 2.5: Technical Discovery (Code Exploration)
Prerequisites: Phases 1-2 complete, product viability established
Agent: Explore (via Task tool with subagent_type="Explore")
Purpose: CRITICAL PHASE - Deeply analyze existing codebase BEFORE making technical feasibility assessment.
Process:
-
Launch Explore agent with target component(s)
-
Agent investigates:
- Existing Implementation: What code already exists for similar functionality?
- Integration Points: What systems/modules would this feature touch?
- Current Architecture: How is the current system structured?
- Data Models: What database schemas or data structures exist?
- Dependencies: What libraries, services are already integrated?
- Existing Patterns: What coding patterns and conventions are used?
-
Agent provides:
- Current State Summary: What exists today
- Integration Analysis: Where proposed feature would fit
- Code Conflicts: What would break or conflict
- Leverage Opportunities: What can be reused vs rebuilt
- Technical Constraints: Real constraints from existing code
Outputs:
- Current implementation summary
- Integration points map
- Code conflicts identified
- Reusable components identified
- Technical constraints from code
Critical: This phase ensures Phase 3 is based on actual code reality, not assumptions.
Phase 3: Technical Feasibility Assessment
Prerequisites: Phases 1-2.5 complete, code explored
Agent: senior-software-engineer
Process:
-
Launch senior-software-engineer agent with:
- Parsed requirements from Phase 1
- Product context from Phase 2
- Technical discovery results from Phase 2.5
-
Agent analyzes (informed by Phase 2.5 discoveries):
- Technical Approach: What are the implementation options?
- Complexity: How difficult is this to build?
- Dependencies: What systems/services are needed?
- Technical Debt: Will this create or reduce tech debt?
- Risks: What are the technical risks?
-
Agent provides:
- Technical feasibility score (High/Medium/Low)
- Recommended approach (with alternatives)
- Complexity estimate (Simple/Medium/Complex)
- Technical risks and mitigations
Outputs:
- Technical feasibility score
- Recommended implementation approach
- Complexity and effort estimate
- Technical risks and mitigations
Phase 4: Strategic Assessment
Prerequisites: Phases 1-3 complete
Agent: technical-cto-advisor
Process:
-
Launch technical-cto-advisor agent with all previous phase outputs
-
Agent synthesizes:
- Overall Assessment: Combine product + technical perspectives
- Strategic Alignment: Does this align with engineering principles AND project constitution?
- Risk vs. Reward: Is the value worth the effort and risk?
- Alternative Options: Build, buy, partner, defer, or decline?
-
Agent provides:
- Go/No-Go Recommendation: Clear decision with confidence level
- Rationale: Detailed reasoning
- Recommended Approach: If "go", what's the best path forward?
- Conditions: Any prerequisites for proceeding?
- Risks: Key risks if we proceed
Outputs:
- Go/No-Go recommendation
- Strategic rationale
- Recommended approach
- Risk summary
Phase 5: Generate Research Report
Prerequisites: Phases 1-4 complete
Agent: documentation-analyst-writer (via Task tool)
Process:
-
Launch documentation-analyst-writer agent with all phase outputs
-
Agent generates report with sections:
- Executive Summary: One-paragraph overview with recommendation
- Feature Overview: Name, type, component, goals
- Requirements Summary: Key functional and non-functional requirements
- Product Analysis: User value, market fit, strategic alignment
- Technical Discovery: Current state, integration points, constraints from code
- Technical Analysis: Feasibility, approach, complexity, risks
- Strategic Recommendation: Go/no-go with detailed rationale
- Next Steps: What to do based on recommendation
-
Agent creates markdown file:
rpi/{feature-slug}/research/RESEARCH.md
Outputs:
- Complete research report saved to
rpi/{feature-slug}/research/RESEARCH.md
Sub-Agent Delegation
This command orchestrates 6 specialist agents:
| Phase | Agent | Type | Location | |-------|-------|------|----------| | Phase 1 | requirement-parser | Custom | .claude/agents/requirement-parser.md | | Phase 2 | product-manager | Custom | .claude/agents/product-manager.md | | Phase 2.5 | Explore | Built-in | Task tool with subagent_type="Explore" | | Phase 3 | senior-software-engineer | Custom | .claude/agents/senior-software-engineer.md | | Phase 4 | technical-cto-advisor | Custom | .claude/agents/technical-cto-advisor.md | | Phase 5 | documentation-analyst-writer | Built-in | Task tool with subagent_type="documentation-analyst-writer" |
Completion Report
Report the following on successful completion:
Research Recommendation
Decision: [GO | NO-GO | CONDITIONAL GO | DEFER]
Confidence: [High | Medium | Low]
Rationale (1-2 sentences): [Key reasons for recommendation]
Research Summary
Feature: {feature-name} Type: {feature-type} Component: {target-component} Complexity: {Simple | Medium | Complex}
Scores:
- Product Viability: [High/Medium/Low]
- Technical Feasibility: [High/Medium/Low]
- Overall Assessment: [High/Medium/Low]
Key Risks:
- {risk-1}
- {risk-2}
- {risk-3}
Report Location
Full Research Report: rpi/{feature-slug}/research/RESEARCH.md
Next Steps
Based on the [GO/NO-GO] recommendation:
If GO:
- Review the research report:
rpi/{feature-slug}/research/RESEARCH.md - Proceed to planning:
/rpi:plan "{feature-slug}"
If CONDITIONAL GO:
- Review conditions in report
- Address conditions before proceeding
- Re-run research if needed
If DEFER:
- Review timeline recommendation in report
- Revisit when timing is appropriate
If NO-GO:
- Review rationale in report
- Consider alternatives mentioned
- Archive for future reference
Error Handling
If REQUEST.md doesn't exist:
- Action: Stop and inform user
- Message: "Feature request file
rpi/{feature-slug}/REQUEST.mdnot found. Create the feature folder and REQUEST.md first (Step 1: Describe in Plan Mode)."
If feature description is too vague:
- Action: requirement-parser will identify clarifying questions
- Message: "Need more information. Please answer:"
- Next: Wait for answers, then proceed
If agents fail or timeout:
- Action: Retry once
- Next: If retry fails, ask user whether to continue with incomplete research
Notes
- When to Use: After Step 1 (Describe) creates the feature folder
- Critical Gate: This prevents wasted effort on non-viable features
- Part of RPI Workflow: Step 2 of 4 (Describe → Research → Plan → Implement)
Post-Completion Action
IMPORTANT: After completing the research workflow, ALWAYS prompt the user to compact the conversation:
Context Management: This research workflow consumed significant context. T
Truncated for display — read the full file on GitHub.
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