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Speckit Clarify Agent Skill

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

3k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
4
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/pulumi/pulumi-hyperv --skill speckit-clarify

The instruction itself

2 sections, as written by the author

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Outline

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 invoking /speckit.plan. 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 user to re-run /speckit.specify or verify 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).

Functional Scope & Behavior:

  • Core user goals & success criteria
  • Explicit out-of-scope declarations
  • User roles / personas differentiation

Domain & Data Model:

  • Entities, attributes, relationships
  • Identity & uniqueness rules
  • Lifecycle/state transitions
  • Data volume / scale assumptions

Interaction & UX Flow:

  • Critical user journeys / sequences
  • Error/empty/loading states
  • Accessibility or localization notes

Non-Functional Quality Attributes:

  • Performance (latency, throughput targets)
  • Scalability (horizontal/vertical, limits)
  • Reliability & availability (uptime, recovery expectations)
  • Observability (logging, metrics, tracing signals)
  • Security & privacy (authN/Z, data protection, threat assumptions)
  • Compliance / regulatory constraints (if any)

Integration & External Dependencies:

  • External services/APIs and failure modes
  • Data import/export formats
  • Protocol/versioning assumptions

Edge Cases & Failure Handling:

  • Negative scenarios
  • Rate limiting / throttling
  • Conflict resolution (e.g., concurrent edits)

Constraints & Tradeoffs:

  • Technical constraints (language, storage, hosting)
  • Explicit tradeoffs or rejected alternatives

Terminology & Consistency:

  • Canonical glossary terms
  • Avoided synonyms / deprecated terms

Completion Signals:

  • Acceptance criteria testability
  • Measurable Definition of Done style indicators

Misc / Placeholders:

  • TODO markers / unresolved decisions
  • Ambiguous adjectives ("robust", "intuitive") lacking quantification

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 5 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.
  • Exclude questions already answered, trivial stylistic preferences, or plan-level execution details (unless blocking correctness).
  • Favor clarifications that reduce downstream rework risk or prevent misaligned acceptance tests.
  • If more than 5 categories remain unresolved, select the top 5 by (Impact * Uncertainty) heuristic.
  • Sequential questioning loop (interactive):
  • Present EXACTLY ONE question at a time.
  • For multiple‑choice questions:
  • Analyze all options and determine the most suitable option based on:
  • Best practices for the project type
  • Common patterns in similar implementations
  • Risk reduction (security, performance, maintainability)
  • 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 | <Option A description> |

| B | <Option B description> |

| C | <Option C description> (add D/E as needed up to 5) |

| 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 Success Criteria > Measurable Outcomes (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 command.

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 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).
  • Avoid speculative tech stack questions unless the absence blocks functional clarity.
  • Respect user early termination signals ("stop", "done", "proceed").
  • If no questions asked due to full coverage, output a compact coverage summary (all categories Clear) then suggest advancing.
  • If quota reached with unresolved high-impact categories remaining, explicitly flag them under Deferred with rationale.

Context for prioritization: $ARGUMENTS

How to use it

Copy the folder

Take pulumi/speckit-clarify from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.