Files
librenotes/.wave/prompts/speckit-flow/clarify.md
Michael Czechowski 22370827ee Add GitHub issue pipelines and prompts using gh CLI
gh-issue-impl, gh-issue-research, gh-issue-rewrite, gh-issue-update
pipelines with corresponding prompts for fetch-assess, plan,
implement, and create-pr steps.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 17:02:42 +01:00

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You are refining a feature specification by identifying and resolving ambiguities.
Feature context: {{ input }}
## Working Directory
You are running in an **isolated git worktree** shared with previous pipeline steps.
Your working directory IS the project root. The feature branch was created by a
previous step and is already checked out.
## Instructions
Follow the `/speckit.clarify` workflow:
1. Find the feature directory and spec file path from the spec info artifact
2. Run `.specify/scripts/bash/check-prerequisites.sh --json --paths-only` to confirm paths
3. Load the current spec and perform a focused ambiguity scan across:
- Functional scope and domain model
- Integration points and edge cases
- Terminology consistency
4. Generate up to 5 clarification questions (prioritized)
5. For each question, select the best option based on codebase context
6. Integrate each resolution directly into the spec file
7. Save the updated spec
## CONSTRAINTS
- Do NOT spawn Task subagents — work directly in the main context
- Do NOT use WebSearch — all clarifications should be resolved from codebase
context and the existing spec. The specify step already did the research.
- Keep the scope tight: only fix genuine ambiguities, don't redesign the spec
## Non-Interactive Mode
Since this runs in a pipeline, resolve all clarifications autonomously:
- Select the recommended option based on codebase patterns and existing architecture
- Document the rationale for each choice in the Clarifications section
- Err on the side of commonly-accepted industry standards
## Output
Produce a JSON status report matching the injected output schema.