Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
SKILL.md
Spec Kit Clarify Skill
When to Use
The feature spec exists but needs targeted clarification before planning.
Inputs
The current feature spec in specs/<feature>/spec.md.
The user's clarification intent or constraints from the request.
If the request is empty or the spec is missing, ask a targeted question before proceeding.
Workflow
Goal: Detect and reduce ambiguity or missing decision points in the active feature specification and record the clarifications directly in the spec file.
Note: This clarification workflow is expected to run (and be completed) BEFORE the speckit-plan skill. If the user explicitly states they are skipping clarification (e.g., exploratory spike), you may proceed, but must warn that downstream rework risk increases.
Execution steps:
Run .specify/scripts/bash/check-prerequisites.sh --json --paths-only from repo root once (combined --json --paths-only mode / -Json -PathsOnly). Parse minimal JSON payload fields:
FEATURE_DIR
FEATURE_SPEC
(Optionally capture IMPL_PLAN, TASKS for future chained flows.)
If JSON parsing fails, abort and instruct the user to re-run speckit-specify or verify the feature branch environment.
For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot").
Load the current spec file. Perform a structured ambiguity & coverage scan using this taxonomy. For each category, mark status: Clear / Partial / Missing. Produce an internal coverage map used for prioritization (do not output raw map unless no questions will be asked).
For each category with Partial or Missing status, add a candidate question opportunity unless:
Clarification would not materially change implementation or validation strategy
Information is better deferred to planning phase (note internally)
Generate (internally) a prioritized queue of candidate clarification questions (maximum 5). Do NOT output them all at once. Apply these constraints:
Maximum of 10 total questions across the whole session.
Each question must be answerable with EITHER:
A short multiple‑choice selection (2–5 distinct, mutually exclusive options), OR
A one-word / short‑phrase answer (explicitly constrain: "Answer in <=5 words").
Only include questions whose answers materially impact architecture, data modeling, task decomposition, test design, UX behavior, operational readiness, or compliance validation.
Ensure category coverage balance: attempt to cover the highest impact unresolved categories first; avoid asking two low-impact questions when a single high-impact area (e.g., security posture) is unresolved.
Alignment with any explicit project goals or constraints visible in the spec
Present your recommended option prominently at the top with clear reasoning (1-2 sentences explaining why this is the best choice).
Format as: **Recommended:** Option [X] - <reasoning>
Then render all options as a Markdown table:
Option
Description
A
B
C
Short
Provide a different short answer (<=5 words) (Include only if free-form alternative is appropriate)
After the table, add: You can reply with the option letter (e.g., "A"), accept the recommendation by saying "yes" or "recommended", or provide your own short answer.
For short‑answer style (no meaningful discrete options):
Provide your suggested answer based on best practices and context.
Format as: **Suggested:** <your proposed answer> - <brief reasoning>
Then output: Format: Short answer (<=5 words). You can accept the suggestion by saying "yes" or "suggested", or provide your own answer.
After the user answers:
If the user replies with "yes", "recommended", or "suggested", use your previously stated recommendation/suggestion as the answer.
Otherwise, validate the answer maps to one option or fits the <=5 word constraint.
If ambiguous, ask for a quick disambiguation (count still belongs to same question; do not advance).
Once satisfactory, record it in working memory (do not yet write to disk) and move to the next queued question.
Stop asking further questions when:
All critical ambiguities resolved early (remaining queued items become unnecessary), OR
User signals completion ("done", "good", "no more"), OR
You reach 5 asked questions.
Never reveal future queued questions in advance.
If no valid questions exist at start, immediately report no critical ambiguities.
Integration after EACH accepted answer (incremental update approach):
Maintain in-memory representation of the spec (loaded once at start) plus the raw file contents.
For the first integrated answer in this session:
Ensure a ## Clarifications section exists (create it just after the highest-level contextual/overview section per the spec template if missing).
Under it, create (if not present) a ### Session YYYY-MM-DD subheading for today.
Append a bullet line immediately after acceptance: - Q: <question> → A: <final answer>.
Then immediately apply the clarification to the most appropriate section(s):
Functional ambiguity → Update or add a bullet in Functional Requirements.
User interaction / actor distinction → Update User Stories or Actors subsection (if present) with clarified role, constraint, or scenario.
Data shape / entities → Update Data Model (add fields, types, relationships) preserving ordering; note added constraints succinctly.
Non-functional constraint → Add/modify measurable criteria in Non-Functional / Quality Attributes section (convert vague adjective to metric or explicit target).
Edge case / negative flow → Add a new bullet under Edge Cases / Error Handling (or create such subsection if template provides placeholder for it).
Terminology conflict → Normalize term across spec; retain original only if necessary by adding (formerly referred to as "X") once.
If the clarification invalidates an earlier ambiguous statement, replace that statement instead of duplicating; leave no obsolete contradictory text.
Save the spec file AFTER each integration to minimize risk of context loss (atomic overwrite).
Preserve formatting: do not reorder unrelated sections; keep heading hierarchy intact.
Keep each inserted clarification minimal and testable (avoid narrative drift).
Validation (performed after EACH write plus final pass):
Clarifications session contains exactly one bullet per accepted answer (no duplicates).
Total asked (accepted) questions ≤ 5.
Updated sections contain no lingering vague placeholders the new answer was meant to resolve.
No contradictory earlier statement remains (scan for now-invalid alternative choices removed).
Markdown structure valid; only allowed new headings: ## Clarifications, ### Session YYYY-MM-DD.
Terminology consistency: same canonical term used across all updated sections.
Write the updated spec back to FEATURE_SPEC.
Report completion (after questioning loop ends or early termination):
Number of questions asked & answered.
Path to updated spec.
Sections touched (list names).
Coverage summary table listing each taxonomy category with Status: Resolved (was Partial/Missing and addressed), Deferred (exceeds question quota or better suited for planning), Clear (already sufficient), Outstanding (still Partial/Missing but low impact).
If any Outstanding or Deferred remain, recommend whether to proceed to speckit-plan or run speckit-clarify again later post-plan.
Suggested next step.
Behavior rules:
If no meaningful ambiguities found (or all potential questions would be low-impact), respond: "No critical ambiguities detected worth formal clarification." and suggest proceeding.
If spec file missing, instruct the user to run speckit-specify first (do not create a new spec here).
Never exceed 5 total asked questions (clarification retries for a single question do not count as new questions).
