Skill v1.0.0
currentLLM-judged scan90/100version: "1.0.0" name: p1-spec-research description: "Phase 1 spec research: refines spec, fills gaps via user Q&A, surveys algorithm candidates with trade-offs. Use for 'research', 'spec analysis', 'Phase 1'." user-invocable: true argument-hint: "[spec-file or project-description]" allowed-tools: Bash, Read, Write, Edit, Task, Grep, Glob, AskUserQuestion
<Purpose> Execute Phase 1 spec research pipeline. Refines specification, identifies gaps, surveys candidate algorithms with trade-offs, and produces structured research artifacts for Phase 2 architecture design. </Purpose>
<Use_When>
- Starting a new RTL design from a specification or idea
- Need thorough spec analysis before architecture design
- User says "research", "spec analysis", "Phase 1"
- Specification has ambiguities or missing information
</Use_When>
<Do_Not_Use_When>
- Phase 1 artifacts already exist and are current
- Only need a quick domain question (use domain-consult)
- Need architecture design (use p2-arch-design — requires Phase 1 completion)
</Do_Not_Use_When>
<Phase_Workflow> This skill runs as two stages inside the same Task() invocation:
- Phase 0 (goal-clarifier): when
$ARGUMENTSis a sparse seed, the
orchestrator first dispatches goal-clarifier for an ambiguity-scored interview across 4 RTL dimensions (Functionality / PPA Target / Scope / Verification). Phase 0 writes docs/phase-1-research/goal.md.
- Phase 1 (spec-analyst + research): spec-analyst consumes
goal.md
(plus any user-supplied spec document) and produces the iron/open requirements set as before.
When $ARGUMENTS points to an existing .md/.txt/.rst spec or is already a rich seed (≥ 500 chars with PPA/coverage signals), Phase 0 is skipped automatically. </Phase_Workflow>
<Assets>
| Path | Role | |
|---|---|---|
scripts/score_ambiguity.py | Pure stdlib helper for 4-dimension scoring + ambiguity %. Used by goal-clarifier each round. | |
templates/goal.md | Output skeleton for docs/phase-1-research/goal.md. | |
references/goal-dimensions.md | 4-dimension scoring rubric + question seeds + anti-patterns. |
</Assets>
Prerequisites
None — this is the first phase entry point.
Execution
Task(subagent_type="rtl-agent-team:p1-research-orchestrator", prompt="Execute Phase 1 spec research. User input: $ARGUMENTS")
Do not perform any work directly. The orchestrator agent manages spec refinement, solution tree exploration, sub-domain expert coordination, and 3-round chief review.
Output Artifacts
docs/phase-1-research/iron-requirements.json— settled functional/performance requirements (REQ-F-, REQ-P-)docs/phase-1-research/open-requirements.json— research topics deferred to Phase 2 (OPEN-1-*)docs/phase-1-research/io_definition.json— I/O interface definitions- Classification verification step confirms each requirement is tagged as either iron (acceptance_criteria defined) or open (research_needed).