Paw Spec Research

Spec Research

Execution Context: This skill runs in a subagent session, delegated by the PAW orchestrator. Return structured results to the orchestrator upon completion.

Describe how the system works today to answer questions from the spec research prompt. Document existing behavior—no design, no improvements.

Reference: Follow Core Implementation Principles from paw-workflow skill.

Capabilities

• Answer factual questions about existing system behavior
• Document behavioral descriptions (what system does from user/component perspective)
• Identify unanswered questions as Open Unknowns

Scope: Behavioral Documentation Only

Note: The file:line citation requirement from paw-workflow Core Principles applies to implementation claims in CodeResearch.md, not behavioral documentation here. SpecResearch.md documents what the system does, not how it's implemented.

What to document:

• Behavioral descriptions (what system does from user/component perspective)
• Conceptual data flows (entities and their purposes)
• API behaviors (inputs/outputs, not implementation)
• User-facing workflows and business rules
• Configuration effects (what happens when changed)

What NOT to document:

• Implementation details or code structure (Code Research handles this)
• Technical architecture or design patterns (Code Research handles this)
• Code snippets or function signatures (Code Research handles this)

Evidence references: Use documentation-level citations (e.g., "README section X", "API docs", "config file behavior") rather than code file:line references.

Key difference from CodeResearch.md:

• SpecResearch.md: "The auth system requires email and password, returns session token" (behavioral)
• CodeResearch.md: "Auth implemented in auth/handlers.go:45 using bcrypt" (implementation)

Desired End State

SpecResearch.md artifact created at .paw/work/<work-id>/SpecResearch.md containing:

• Summary of key findings about existing system behavior
• Each question answered with evidence source and spec implications
• Unanswerable questions listed as Open Unknowns with rationale
• External questions preserved for manual completion

Research Process

Read .paw/work/<work-id>/ResearchQuestions.md for questions and context. For each question, search the codebase for relevant behavior, ensure sufficient context before stating behavior confidently, and document answers factually with evidence sources.

SpecResearch.md Template

---
date: <YYYY-MM-DD HH:MM:SS TZ>
git_commit: <current commit hash>
branch: <target branch>
repository: <repo name>
topic: "<feature name> Spec Research"
tags: [research, specification]
status: complete
---

# Spec Research: <Feature Name>

## Summary
<1-2 paragraphs: Key findings overview. What the research revealed about existing system behavior.>

## Agent Notes
<Preserve notes from Spec Agent verbatim. Omit section if no notes in prompt.>

## Research Findings

### Question 1: <question text>
**Answer**: <factual behavior description>
**Evidence**: <source of information - e.g., "API documentation", "observed config behavior">
**Implications**: <how this impacts spec requirements or scope>

### Question 2: <question text>
**Answer**: <factual behavior description>
**Evidence**: <source>
**Implications**: <impact on spec>

## Open Unknowns
<List internal questions that couldn't be answered with rationale.>

- <question>: <why it couldn't be answered>

Note: The Spec Agent will review these with you. You may provide answers if possible.

## User-Provided External Knowledge (Manual Fill)
<Unchecked list of optional external/context questions for manual completion.>

- [ ] <external question 1>
- [ ] <external question 2>

Quality Guidelines

Anti-Evaluation Directives (CRITICAL)

YOUR JOB IS TO DESCRIBE THE SYSTEM AS IT EXISTS TODAY

• DO NOT suggest improvements or alternative implementations
• DO NOT critique current behavior or identify problems
• DO NOT recommend optimizations, refactors, or fixes
• DO NOT evaluate whether the current approach is good or bad
• ONLY document observable behavior and facts supported by the codebase

Keep Answers Concise

• Answer questions directly with essential facts only
• Avoid exhaustive lists, lengthy examples, or unnecessary detail
• Goal: Give Spec Agent enough info to write clear requirements, not document every edge case

Idempotent Updates

• Build SpecResearch.md incrementally
• Re-running with same inputs should reproduce same document
• Preserve existing accurate sections; avoid rewriting unrelated portions

Quality Checklist

Before completion:

• All internal questions answered or listed as Open Unknowns with rationale
• Answers are factual and evidence-based (no speculation)
• Responses are concise and directly address questions
• Behavioral focus maintained (no implementation details)
• Optional external questions copied to manual section
• SpecResearch.md saved to .paw/work/<work-id>/SpecResearch.md

Completion Response

Report to PAW agent: artifact path, counts (questions answered, open unknowns, external questions for manual completion), and readiness for spec integration.