speckit-specify

name	speckit-specify
description	Create or update the feature specification from a natural language feature

Speckit Specify Skill

User Input

$ARGUMENTS

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

Pre-Execution Checks

Check for extension hooks (before specification):

• Check if .specify/extensions.yml exists in the project root.
• If it exists, read it and look for entries under the hooks.before_specify key
• If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally
• Filter out hooks where enabled is explicitly false. Treat hooks without an enabled field as enabled by default.
• For each remaining hook, do not attempt to interpret or evaluate hook condition expressions:
  • If the hook has no condition field, or it is null/empty, treat the hook as executable
  • If the hook defines a non-empty condition, skip the hook and leave condition evaluation to the HookExecutor implementation
• When constructing slash commands from hook command names, replace dots (.) with hyphens (-). For example, speckit.git.commit → /speckit-git-commit.
• For each executable hook, output the following based on its optional flag:
  • Optional hook (optional: true):

    ## Extension Hooks
    
    **Optional Pre-Hook**: {extension}
    Command: `/{command}`
    Description: {description}
    
    Prompt: {prompt}
    To execute: `/{command}`
    

  • Mandatory hook (optional: false):

    ## Extension Hooks
    
    **Automatic Pre-Hook**: {extension}
    Executing: `/{command}`
    EXECUTE_COMMAND: {command}
    
    Wait for the result of the hook command before proceeding to the Outline.
    

• If no hooks are registered or .specify/extensions.yml does not exist, skip silently

Outline

The text the user typed after /speckit-specify in the triggering message is the feature description. Assume you always have it available in this conversation even if $ARGUMENTS appears literally below. Do not ask the user to repeat it unless they provided an empty command.

Given that feature description, do this:

1. Generate a concise short name (2-4 words) for the feature:

   • Analyze the feature description and extract the most meaningful keywords
   • Create a 2-4 word short name that captures the essence of the feature
   • Use action-noun format when possible (e.g., "add-user-auth", "fix-payment-bug")
   • Preserve technical terms and acronyms (OAuth2, API, JWT, etc.)
   • Keep it concise but descriptive enough to understand the feature at a glance
   • Examples:
     • "I want to add user authentication" → "user-auth"
     • "Implement OAuth2 integration for the API" → "oauth2-api-integration"
     • "Create a dashboard for analytics" → "analytics-dashboard"
     • "Fix payment processing timeout bug" → "fix-payment-timeout"

2. Branch creation (optional, via hook):

   If a before_specify hook ran successfully in the Pre-Execution Checks above, it will have created/switched to a git branch and output JSON containing BRANCH_NAME and FEATURE_NUM. Note these values for reference, but the branch name does not dictate the spec directory name.

   If the user explicitly provided GIT_BRANCH_NAME, pass it through to the hook so the branch script uses the exact value as the branch name (bypassing all prefix/suffix generation).

3. Create the spec feature directory:

   Specs live under the default specs/ directory unless the user explicitly provides SPECIFY_FEATURE_DIRECTORY.

   Resolution order for SPECIFY_FEATURE_DIRECTORY:

   1. If the user explicitly provided SPECIFY_FEATURE_DIRECTORY (e.g., via environment variable, argument, or configuration), use it as-is
   2. Otherwise, auto-generate it under specs/:
      • Check .specify/init-options.json for branch_numbering
      • If "timestamp": prefix is YYYYMMDD-HHMMSS (current timestamp)
      • If "sequential" or absent: prefix is NNN (next available 3-digit number after scanning existing directories in specs/)
      • Construct the directory name: <prefix>-<short-name> (e.g., 003-user-auth or 20260319-143022-user-auth)
      • Set SPECIFY_FEATURE_DIRECTORY to specs/<directory-name>

   Create the directory and spec file:

   • mkdir -p SPECIFY_FEATURE_DIRECTORY
   • Copy .specify/templates/spec-template.md to SPECIFY_FEATURE_DIRECTORY/spec.md as the starting point
   • Set SPEC_FILE to SPECIFY_FEATURE_DIRECTORY/spec.md
   • Record the specify START so the step's duration begins now (the script stamps the real clock — do not hand-write this):

     python3 .specify/extensions/companion/scripts/write-context.py --feature-dir SPECIFY_FEATURE_DIRECTORY --step specify --status specifying --kind start --by extension
     

   • Persist the resolved path to .specify/feature.json:

     {
       "feature_directory": "<resolved feature dir>"
     }
     

     Write the actual resolved directory path value (for example, specs/003-user-auth), not the literal string SPECIFY_FEATURE_DIRECTORY. This allows downstream commands (/speckit-plan, /speckit-tasks, etc.) to locate the feature directory without relying on git branch name conventions.

   IMPORTANT:

   • You must only create one feature per /speckit-specify invocation
   • The spec directory name and the git branch name are independent — they may be the same but that is the user's choice
   • The spec directory and file are always created by this command, never by the hook

4. Load .specify/templates/spec-template.md to understand required sections.

5. Follow this execution flow:

   1. Parse user description from arguments If empty: ERROR "No feature description provided"
   2. Extract key concepts from description Identify: actors, actions, data, constraints
   3. For unclear aspects:
      • Make informed guesses based on context and industry standards
      • Only mark with [NEEDS CLARIFICATION: specific question] if:
        • The choice significantly impacts feature scope or user experience
        • Multiple reasonable interpretations exist with different implications
        • No reasonable default exists
      • LIMIT: Maximum 3 [NEEDS CLARIFICATION] markers total
      • Prioritize clarifications by impact: scope > security/privacy > user experience > technical details
   4. Fill User Scenarios & Testing section If no clear user flow: ERROR "Cannot determine user scenarios"
   5. Generate Functional Requirements Each requirement must be testable Use reasonable defaults for unspecified details (document assumptions in Assumptions section)
   6. Define Success Criteria Create measurable, technology-agnostic outcomes Include both quantitative metrics (time, performance, volume) and qualitative measures (user satisfaction, task completion) Each criterion must be verifiable without implementation details
   7. Identify Key Entities (if data involved)
   8. Return: SUCCESS (spec ready for planning)

6. Write the specification to SPEC_FILE using the template structure, replacing placeholders with concrete details derived from the feature description (arguments) while preserving section order and headings.

7. Specification Quality Validation: After writing the initial spec, validate it against quality criteria:

   a. Create Spec Quality Checklist: Generate a checklist file at SPECIFY_FEATURE_DIRECTORY/checklists/requirements.md using the checklist template structure with these validation items:

   # Specification Quality Checklist: [FEATURE NAME]
   
   **Purpose**: Validate specification completeness and quality before proceeding to planning
   **Created**: [DATE]
   **Feature**: [Link to spec.md]
   
   ## Content Quality
   
   - [ ] No implementation details (languages, frameworks, APIs)
   - [ ] Focused on user value and business needs
   - [ ] Written for non-technical stakeholders
   - [ ] All mandatory sections completed
   
   ## Requirement Completeness
   
   - [ ] No [NEEDS CLARIFICATION] markers remain
   - [ ] Requirements are testable and unambiguous
   - [ ] Success criteria are measurable
   - [ ] Success criteria are technology-agnostic (no implementation details)
   - [ ] All acceptance scenarios are defined
   - [ ] Edge cases are identified
   - [ ] Scope is clearly bounded
   - [ ] Dependencies and assumptions identified
   
   ## Feature Readiness
   
   - [ ] All functional requirements have clear acceptance criteria
   - [ ] User scenarios cover primary flows
   - [ ] Feature meets measurable outcomes defined in Success Criteria
   - [ ] No implementation details leak into specification
   
   ## Notes
   
   - Items marked incomplete require spec updates before `/speckit-clarify` or `/speckit-plan`
   

   b. Run Validation Check: Review the spec against each checklist item:

   • For each item, determine if it passes or fails
   • Document specific issues found (quote relevant spec sections)

   c. Handle Validation Results:

   • If all items pass: Mark checklist complete and proceed to step 8

   • If items fail (excluding [NEEDS CLARIFICATION]):

     1. List the failing items and specific issues
     2. Update the spec to address each issue
     3. Re-run validation until all items pass (max 3 iterations)
     4. If still failing after 3 iterations, document remaining issues in checklist notes and warn user

   • If [NEEDS CLARIFICATION] markers remain:

     1. Extract all [NEEDS CLARIFICATION: ...] markers from the spec

     2. LIMIT CHECK: If more than 3 markers exist, keep only the 3 most critical (by scope/security/UX impact) and make informed guesses for the rest

     3. For each clarification needed (max 3), present options to user in this format:

        ## Question [N]: [Topic]
        
        **Context**: [Quote relevant spec section]
        
        **What we need to know**: [Specific question from NEEDS CLARIFICATION marker]
        
        **Suggested Answers**:
        
        | Option | Answer | Implications |
        |--------|--------|--------------|
        | A      | [First suggested answer] | [What this means for the feature] |
        | B      | [Second suggested answer] | [What this means for the feature] |
        | C      | [Third suggested answer] | [What this means for the feature] |
        | Custom | Provide your own answer | [Explain how to provide custom input] |
        
        **Your choice**: _[Wait for user response]_
        

     4. CRITICAL - Table Formatting: Ensure markdown tables are properly formatted:

        • Use consistent spacing with pipes aligned
        • Each cell should have spaces around content: | Content | not |Content|
        • Header separator must have at least 3 dashes: |--------|
        • Test that the table renders correctly in markdown preview

     5. Number questions sequentially (Q1, Q2, Q3 - max 3 total)

     6. Present all questions together before waiting for responses

     7. Wait for user to respond with their choices for all questions (e.g., "Q1: A, Q2: Custom - [details], Q3: B")

     8. Update the spec by replacing each [NEEDS CLARIFICATION] marker with the user's selected or provided answer

     9. Re-run validation after all clarifications are resolved

   d. Update Checklist: After each validation iteration, update the checklist file with current pass/fail status

8. Report completion to the user with:

   • SPECIFY_FEATURE_DIRECTORY — the feature directory path
   • SPEC_FILE — the spec file path
   • Checklist results summary
   • Readiness for the next phase (/speckit-clarify or /speckit-plan)
   • Then record the specify COMPLETE — the extension stamps the real end (do not hand-write an ai complete for specify):

     python3 .specify/extensions/companion/scripts/write-context.py --feature-dir SPECIFY_FEATURE_DIRECTORY --step specify --status specified --kind complete --by extension
     

9. Check for extension hooks: After reporting completion, check if .specify/extensions.yml exists in the project root.

   • If it exists, read it and look for entries under the hooks.after_specify key
   • If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally
   • Filter out hooks where enabled is explicitly false. Treat hooks without an enabled field as enabled by default.
   • For each remaining hook, do not attempt to interpret or evaluate hook condition expressions:
     • If the hook has no condition field, or it is null/empty, treat the hook as executable
     • If the hook defines a non-empty condition, skip the hook and leave condition evaluation to the HookExecutor implementation
   • When constructing slash commands from hook command names, replace dots (.) with hyphens (-). For example, speckit.git.commit → /speckit-git-commit.
   • For each executable hook, output the following based on its optional flag:
     • Optional hook (optional: true):

       ## Extension Hooks
       
       **Optional Hook**: {extension}
       Command: `/{command}`
       Description: {description}
       
       Prompt: {prompt}
       To execute: `/{command}`
       

     • Mandatory hook (optional: false):

       ## Extension Hooks
       
       **Automatic Hook**: {extension}
       Executing: `/{command}`
       EXECUTE_COMMAND: {command}
       

   • If no hooks are registered or .specify/extensions.yml does not exist, skip silently

NOTE: Branch creation is handled by the before_specify hook (git extension). Spec directory and file creation are always handled by this core command.

Quick Guidelines

• Focus on WHAT users need and WHY.
• Avoid HOW to implement (no tech stack, APIs, code structure).
• Written for business stakeholders, not developers.
• DO NOT create any checklists that are embedded in the spec. That will be a separate command.

Section Requirements

• Mandatory sections: Must be completed for every feature
• Optional sections: Include only when relevant to the feature
• When a section doesn't apply, remove it entirely (don't leave as "N/A")

For AI Generation

When creating this spec from a user prompt:

1. Make informed guesses: Use context, industry standards, and common patterns to fill gaps
2. Document assumptions: Record reasonable defaults in the Assumptions section
3. Limit clarifications: Maximum 3 [NEEDS CLARIFICATION] markers - use only for critical decisions that:
   • Significantly impact feature scope or user experience
   • Have multiple reasonable interpretations with different implications
   • Lack any reasonable default
4. Prioritize clarifications: scope > security/privacy > user experience > technical details
5. Think like a tester: Every vague requirement should fail the "testable and unambiguous" checklist item
6. Common areas needing clarification (only if no reasonable default exists):
   • Feature scope and boundaries (include/exclude specific use cases)
   • User types and permissions (if multiple conflicting interpretations possible)
   • Security/compliance requirements (when legally/financially significant)

Examples of reasonable defaults (don't ask about these):

• Data retention: Industry-standard practices for the domain
• Performance targets: Standard web/mobile app expectations unless specified
• Error handling: User-friendly messages with appropriate fallbacks
• Authentication method: Standard session-based or OAuth2 for web apps
• Integration patterns: Use project-appropriate patterns (REST/GraphQL for web services, function calls for libraries, CLI args for tools, etc.)

Success Criteria Guidelines

Success criteria must be:

1. Measurable: Include specific metrics (time, percentage, count, rate)
2. Technology-agnostic: No mention of frameworks, languages, databases, or tools
3. User-focused: Describe outcomes from user/business perspective, not system internals
4. Verifiable: Can be tested/validated without knowing implementation details

Good examples:

• "Users can complete checkout in under 3 minutes"
• "System supports 10,000 concurrent users"
• "95% of searches return results in under 1 second"
• "Task completion rate improves by 40%"

Bad examples (implementation-focused):

• "API response time is under 200ms" (too technical, use "Users see results instantly")
• "Database can handle 1000 TPS" (implementation detail, use user-facing metric)
• "React components render efficiently" (framework-specific)
• "Redis cache hit rate above 80%" (technology-specific)

Timing — keep .spec-context.json honest

These rules apply to every Companion profile command. The extension records lifecycle timing with its own scripts wherever it can; these rules keep anything you append consistent with that and accurate for any dispatcher (terminal, IDE chat, or the GUI). The model is finish-only: each task and each substep records a single finish event, and its duration is the gap to the previous finish (or the step's start). Never a start+complete pair for a task or substep — a pair stamped at one instant is what produces 0s ticks and bursts.

• Never hand-edit .spec-context.json. Record every finish by running the writer script, never by editing the JSON file yourself — a hand-authored edit is what corrupts the file (a duplicated status key). The script stamps the real clock, writes atomically, and is idempotent. The commands below are the only way you touch timing.

• Self-close — but not specify or implement. When your own work for plan, tasks, clarify, or analyze ends, record the step finish (feature dir from .specify/feature.json):

  python3 .specify/extensions/companion/scripts/write-context.py --feature-dir <feature_dir> --step <this step> --finish --by ai
  

  --finish appends a single step-level complete and touches nothing else (it leaves status/currentStep to the lifecycle hooks). Do NOT self-close specify or implement: the extension closes those itself (specify from its own command, implement from the end-of-step hook), so an ai complete there would duplicate it.

• Substeps — one finish each, via the script. For each substep boundary (plan: research, design; tasks: generate), the moment that substep ends, run:

  python3 .specify/extensions/companion/scripts/write-context.py --feature-dir <feature_dir> --step <step> --substep <name> --finish --by ai
  

  One call per substep, each stamped with its own real clock at the moment it finishes — never two substeps in one batch, never a separate start. The delta between consecutive finishes is each substep's duration.

• Implement — finishing a task is logging it (finish-only). Recording a task's finish is the closing action of that task, done the instant its work is complete and before you start the next one — not a bookkeeping pass you batch at the end of a phase. The closing action is a single append (feature dir from .specify/feature.json):

  python3 .specify/extensions/companion/scripts/write-context.py --feature-dir <feature_dir> --task <TaskID> --kind complete --by ai --did "<one-line summary of what this task did>" --files "<comma,separated,files,touched>" --append
  

  --append writes one line to .spec-context.events.jsonl and does not read or rewrite the shared .spec-context.json, so it never hits the "read the file first" retry and parallel workers can each append their own finish at the same time without contending — the line carries its own real timestamp (date -u is stamped by the script). The --did/--files flags ride along so the Activity panel's Tasks card is populated from the script. Do NOT hand-edit the - [ ] checkbox in tasks.md — the script owns it: materialize flips it to - [x] from your appended finish, so a fanned-out subagent only appends and never touches the shared tasks.md. Do NOT hand-author per-task JSON and do NOT write a per-task start.

  Then fold the appended lines into .spec-context.json — run this once per wave (after the wave reconciles) and again when the step ends:

  python3 .specify/extensions/companion/scripts/write-context.py --feature-dir <feature_dir> --materialize
  

  --materialize is the one read-modify-write: it folds the finishes into the panel and checks off the matching tasks.md boxes for every journaled task, idempotently (re-folding never double-counts), so running it per wave keeps the GUI current without re-serializing the work. The end-of-step hook is a backstop that materializes anything you didn't fold and fills any task you didn't journal. What's trustworthy here is the per-task summary (did/files) and the order tasks completed, plus the step-level start→complete span, which the scripts stamp exactly. The per-task timestamps are best-effort — a single agent logs a task right after building it, so they reflect when you recorded it, not a precisely measured duration; that's fine, the summaries are the point. Still, record each finish as you go, wave by wave rather than dumping every task at the very end — a per-wave cadence keeps the panel live and the ordering true.

• Never write the next step's start. Only the next command appends the next step's start entry; writing it here makes the viewer render a phantom "Generating …".