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cnoe-iocnoe-io/ai-platform-engineering/.claude/skills/speckit.specify/SKILL.md

speckit.specify

Skill438 starsChanged 54 days agoApache-2.0View on GitHub

You MUST consider the user input before proceeding (if not empty). 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 {ARGS} appears literally below. Do not ask the user to repeat it unless they provided an empty command. Given that feature description, do this: IMPORTANT: - Do NOT pass --number — that flag no longer exists; the prefix is always today's date -…

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We split this skill into the rules it gives an agent

33 rules. About 0 are common, 28 are distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈28

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create a 2-4 word short name that captures the essence of the feature

    line 37
  2. Distinctive:

    Use action-noun format when possible (e.g., "add-user-auth", "fix-payment-bug")

    line 38
  3. Distinctive:

    Keep it concise but descriptive enough to understand the feature at a glance

    line 40
  4. Distinctive:

    Default if the user does not respond / responds ambiguously: create the branch (matches today's behaviour).

    line 51
  5. Very specific:

    If the user declines, pass --no-branch to the script in the next step.

    line 52
  6. Very specific:

    Do NOT pass --number — that flag no longer exists.

    line 61
  7. Very specific:

    Always include the JSON flag (--json for Bash, -Json for PowerShell) so the output can be parsed reliably

    line 62
  8. Distinctive:

    Follow this execution flow:

    line 71
  9. Distinctive:

    If empty: ERROR "No feature description provided"

    line 74
  10. Distinctive:

    Only mark with [NEEDS CLARIFICATION: specific question] if:

    line 79
  11. Distinctive:

    No reasonable default exists

    line 82
  12. Distinctive:

    If no clear user flow: ERROR "Cannot determine user scenarios"

    line 86
  13. Distinctive:

    Use reasonable defaults for unspecified details (document assumptions in Assumptions section)

    line 89
  14. Distinctive:

    Create measurable, technology-agnostic outcomes Include both quantitative metrics (time, performance, volume) and qualitative measures …

    line 91
  15. Very specific:

    Write the specification to SPEC_FILE using the template structure, replacing placeholders with concrete details derived from the feature …

    line 97
  16. Distinctive:

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

    line 99
  17. Distinctive:

    Document specific issues found (quote relevant spec sections)

    line 142
  18. Distinctive:

    Update the spec to address each issue

    line 150
  19. Distinctive:

    If still failing after 3 iterations, document remaining issues in checklist notes and warn user

    line 152
  20. Very specific:

    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 …

    line 156
  21. Distinctive:

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

    line 178
  22. Distinctive:

    Use consistent spacing with pipes aligned

    line 179
  23. Distinctive:

    Test that the table renders correctly in markdown preview

    line 182
  24. Distinctive:

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

    line 185
  25. Distinctive:

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

    line 186
  26. Distinctive:

    Avoid HOW to implement (no tech stack, APIs, code structure).

    line 198
  27. Distinctive:

    DO NOT create any checklists that are embedded in the spec.

    line 200
  28. Distinctive:

    Mandatory sections: Must be completed for every feature

    line 204
  29. Distinctive:

    When a section doesn't apply, remove it entirely (don't leave as "N/A")

    line 206
  30. Distinctive:

    When creating this spec from a user prompt:

    line 210
  31. Distinctive:

    Make informed guesses: Use context, industry standards, and common patterns to fill gaps

    line 212
  32. Distinctive:

    Think like a tester: Every vague requirement should fail the "testable and unambiguous" checklist item

    line 219
  33. Distinctive:

    Technology-agnostic: No mention of frameworks, languages, databases, or tools

    line 238

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<!-- Create or update a feature spec from a description --><!-- AUTO-GENERATED — DO NOT EDIT --><!-- Source: .specify/templates/commands/specify.md --><!-- Regenerate: make generate-agent-files -->

description: Create or update a feature spec from a description handoffs:

  • label: Build Technical Plan agent: speckit.plan prompt: Create a plan for the spec. I am building with...
  • label: Clarify Spec Requirements agent: speckit.clarify prompt: Clarify specification requirements send: true scripts: sh: scripts/bash/create-new-feature.sh "{ARGS}" ps: scripts/powershell/create-new-feature.ps1 "{ARGS}"

User Input

$ARGUMENTS

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

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 {ARGS} 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 branch:
    • 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. Confirm branch creation with the user BEFORE running the script. The script's default behaviour is to git checkout -b <new-branch>, which is destructive (it changes the user's checked-out branch and leaves any uncommitted spec edits on a fresh branch the user did not consent to). Some maintainers want a new branch every time; others prefer to keep spec work on the current branch and bundle it with other in-flight changes.

    • Show the user the proposed branch name (e.g. 2026-05-07-user-auth) and ask whether to create it.
    • Phrasing: "I'll create a new branch named '<proposed-branch-name>' for this spec. Reply 'no branch' (or 'stay on current branch') if you'd rather keep spec edits on '<current-branch>'."
    • Default if the user does not respond / responds ambiguously: create the branch (matches today's behaviour). But if the user has already said something like "don't create a new branch" earlier in the session — honour that without re-asking.
    • If the user declines, pass --no-branch to the script in the next step. The script will still create the spec folder under docs/docs/specs/<branch-name>/ and write spec.md; only the git checkout -b is skipped.
  3. Create the spec folder (and optionally the feature branch) by running the script with --short-name (and --json). The script uses today's date (YYYY-MM-DD) as the spec folder / branch prefix — no numbering needed:

    • Bash example (branch): {SCRIPT} --json --short-name "user-auth" "Add user authentication"
    • Bash example (no branch): {SCRIPT} --json --no-branch --short-name "user-auth" "Add user authentication"
    • PowerShell example: {SCRIPT} -Json -ShortName "user-auth" "Add user authentication"

    IMPORTANT:

    • Do NOT pass --number — that flag no longer exists; the prefix is always today's date
    • Always include the JSON flag (--json for Bash, -Json for PowerShell) so the output can be parsed reliably
    • Pass --no-branch (Bash) if step 2's user confirmation came back negative. (Bash only — PowerShell support is not yet implemented.)
    • You must only ever run this script once per feature
    • The JSON is provided in the terminal as output - always refer to it to get the actual content you're looking for
    • The JSON output will contain BRANCH_NAME and SPEC_FILE paths (e.g. 2026-05-07-user-auth). When --no-branch was passed, BRANCH_NAME is the would-be name — the spec folder under docs/docs/specs/ is named after it, but the user's checked-out branch is unchanged.
    • 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")
  4. Load templates/spec-template.md to understand required sections.
  5. Follow this execution flow:

    1. Parse user description from Input 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 FEATURE_DIR/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 7
    • 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 with branch name, spec file path, checklist results, and readiness for the next phase (/speckit.clarify or /speckit.plan). If the user declined a new branch in step 2, explicitly note which branch the spec lives on (e.g. "Spec written to docs/docs/specs/2026-05-25-foo/spec.md on branch 'main' (no new branch created, per your instruction).").

NOTE: Unless --no-branch was passed in step 3, the script creates and checks out the new branch and initializes the spec file before writing. With --no-branch, only the spec folder is created and the caller's current branch is preserved.

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)

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