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Slash Command

Speckit Clarify

Ask targeted questions to resolve spec ambiguities

Type
Slash Command
GitHub stars
339
License
MIT
Repo last updated
Sep 24, 2026

What Speckit Clarify is

Speckit Clarify is a slash command published in the athola/claude-night-market repository on GitHub, which has about 339 stars. The repository describes itself as: “23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context optimization, research, and multi-LLM delegation. 186 skills, 128 commands, 54 agents.”

A slash command is a reusable prompt saved as a markdown file and run by typing its name after a slash. In Claude Code, custom commands have been merged into skills: a file in .claude/commands/ and a skill folder in .claude/skills/ both create the same kind of command, and existing command files keep working.

Speckit Clarify gives you a repeatable way to run the same instructions without retyping them, optionally with arguments.

How to install Speckit Clarify

Claude Code

  1. Download speckit-clarify.md from the repository.
  2. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md.
  3. Run it by typing / followed by its name, with arguments such as Ambiguity or question about the spec.

Claude Cowork

  1. Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it.
  2. In Customize → Skills, click +, then upload the ZIP.
  3. Run it from any task with / and the skill name.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/spec-kit/commands/speckit-clarify.md, shared under the repository's MIT license. Read the full file on GitHub.

Before proceeding, load the speckit-orchestrator skill for workflow coordination. Consider loading complementary skills like superpowers:brainstorming for enhanced clarification capabilities.

When To Use

Use this command when you need to:

  • Feature spec has ambiguous or missing details
  • Pre-planning validation needed

When NOT To Use

Avoid this command if:

  • Generating tasks - use /speckit-tasks instead

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:

  1. 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").
  1. 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

Success Criteria / 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 ("production-grade", "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)
  1. 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.
  • validate 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.

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Speckit Clarify?

Speckit Clarify is a slash command for Claude Code and Claude Cowork from the athola/claude-night-market repository on GitHub. Ask targeted questions to resolve spec ambiguities

How do I install Speckit Clarify in Claude Code?

Download speckit-clarify.md from the repository. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md. Run it by typing / followed by its name, with arguments such as Ambiguity or question about the spec.

Can I use Speckit Clarify in Claude Cowork?

Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it. In Customize → Skills, click +, then upload the ZIP. Run it from any task with / and the skill name.

Is Speckit Clarify safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.