agentleFS
ArvorCoArvorCo/Relentless/.claude/skills/clarify/SKILL.md

clarify

Skill98 starsChanged 9 months agoMITView on GitHub

Identify and resolve ambiguities in feature specifications. Use when spec has unclear requirements. Triggers on: clarify spec, resolve ambiguities, clarify requirements.

We split this skill into the rules it gives an agent

8 rules. 0 are common, 8 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 78 edited versions we read keep these.

  • 8

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When clarifying requirements, ensure answers are:

    line 27
  2. Distinctive:

    Update spec with answers

    line 49
  3. Distinctive:

    Check for these 10 types:

    line 62
  4. Distinctive:

    If routing preference is unclear or missing from spec, ask:

    line 121
  5. Distinctive:

    Update spec.md with clarifications

    line 157
  6. Distinctive:

    Add concrete details based on answers

    line 159
  7. Distinctive:

    Update spec immediately after clarification

    line 231
  8. Distinctive:

    Keep clarification log for future reference

    line 232

“Common” is measured: kept by at least 6 in 10 of the 78 edited versions of this file we could read. “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

Specification Clarification Tool

Systematically identify and resolve ambiguities in feature specifications.


SpecKit Workflow

Clarify can be invoked at any stage when ambiguities arise:

specify ↔ clarify ↔ plan ↔ clarify ↔ tasks

The skill helps resolve ambiguities that could affect:

  • Test design (unclear acceptance criteria)
  • Routing decisions (unclear complexity)
  • Implementation choices (unclear requirements)

Testability Requirements

When clarifying requirements, ensure answers are:

  • Specific enough to write tests against
  • Measurable (can verify with automated tests)
  • Unambiguous (no multiple interpretations)

Good vs Bad Clarifications

Bad (vague)Good (testable)
"How should validation work?""Should email validation reject 'user@localhost'?"
"What about error handling?""Should invalid password show 'Invalid credentials' or 'Password too short'?"
"How secure should it be?""Should we require 2FA for admin users?"

Every clarification should result in a testable requirement.


The Job

  1. Read spec.md
  2. Scan for 10 types of ambiguities (including testability)
  3. Present clarification questions to user
  4. Update spec with answers
  5. Save clarification log

Step 1: Load Specification

Read relentless/features/NNN-feature/spec.md


Step 2: Scan for Ambiguities

Check for these 10 types:

1. Behavioral Ambiguities

  • What happens when [action]?
  • How should system respond to [event]?
  • Example: "What happens when user enters wrong password 5 times?"

2. Data Ambiguities

  • What are required vs optional fields?
  • What validation rules apply?
  • Example: "What email format validation should we use?"

3. UI/UX Ambiguities

  • Where should this be displayed?
  • How should user interact?
  • What visual style?
  • Example: "Should password field show/hide toggle?"

4. Integration Ambiguities

  • Which external API/service?
  • What happens if service unavailable?
  • Example: "Which email provider: SendGrid, Mailgun, or AWS SES?"

5. Permission Ambiguities

  • Who can perform this action?
  • What authorization rules?
  • Example: "Can unconfirmed users log in or should we block them?"

6. Performance Ambiguities

  • What are acceptable response times?
  • Pagination requirements?
  • Example: "How many login attempts allowed per minute?"

7. Error Handling Ambiguities

  • What errors can occur?
  • How should errors be displayed?
  • Example: "What message for duplicate email: '409 Conflict' or custom message?"

8. State Management Ambiguities

  • How is data persisted?
  • What about caching?
  • Example: "Should we remember failed login attempts across sessions?"

9. Edge Case Ambiguities

  • What about empty data?
  • Race conditions?
  • Example: "What if two users register with same email simultaneously?"

10. Testability Ambiguities (NEW)

  • Are acceptance criteria specific enough to test?
  • What edge cases need test coverage?
  • What test data/fixtures are required?
  • What should unit vs integration tests cover?
  • Example: "Should we test with unicode characters in email addresses?"

Optional: Clarify Routing Preference

If routing preference is unclear or missing from spec, ask:

  • "Is this feature simple, medium, complex, or expert-level?"
  • "Should it use free/cheap/good/genius models?"
  • "Any specific AI model requirements?"

Record the answer and update spec.md metadata.


Step 3: Present Questions

For each ambiguity found (max 5 most critical):

## Question N: [Topic]

**Context:** [Quote relevant spec section]

**What we need to know:** [Specific question]

**Testability Impact:** [How this affects test design]

**Options:**
A. [Option 1] - [Implications + how to test]
B. [Option 2] - [Implications + how to test]
C. [Option 3] - [Implications + how to test]
D. Custom - [Your answer]

**Your choice:** _

Step 4: Update Specification

After receiving answers:

  1. Update spec.md with clarifications
  2. Remove [NEEDS CLARIFICATION] markers
  3. Add concrete details based on answers
  4. Ensure updated requirements are testable (Given/When/Then)

Step 5: Save Clarification Log

Create relentless/features/NNN-feature/clarification-log.md:

# Clarification Log: Feature Name

## Q1: [Topic] - RESOLVED
**Date:** 2026-01-11
**Question:** [Question]
**Answer:** [User's choice]
**Updated Sections:** [List spec sections updated]
**Test Impact:** [What tests can now be written]

## Q2: [Topic] - DEFERRED
**Date:** 2026-01-11
**Question:** [Question]
**Reason:** Can be decided during implementation

Example

## Question 1: Password Requirements

**Context:** Spec says "password must be secure" but doesn't define requirements.

**What we need to know:** What are the specific password requirements?

**Testability Impact:** Need exact rules to write validation tests.

**Options:**
A. Basic (min 8 characters) - Simple, user-friendly. Test: reject 7 chars, accept 8.
B. Moderate (min 8 chars + number + symbol) - Balanced security. Test: reject "password", accept "Pass1!"
C. Strict (min 12 chars + number + symbol + upper/lower) - High security. Test: comprehensive regex.
D. Custom - Define your own rules

**Your choice:** B

---

## Question 2: Failed Login Handling

**Context:** Spec doesn't mention what happens after failed login attempts.

**What we need to know:** How should we handle repeated failed logins?

**Testability Impact:** Need exact limits to write rate limiting tests.

**Options:**
A. No limit - Allow unlimited attempts. Test: N/A (no limit to test)
B. Rate limit - Max 5 attempts per minute per IP. Test: 6th attempt in 60s fails.
C. Account lockout - Lock account after 5 failed attempts for 30 minutes. Test: verify lockout and unlock timing.
D. Custom - Define your own approach

**Your choice:** C

Notes

  • Prioritize by impact: security > scope > UX > technical
  • Maximum 5 questions per session
  • Some ambiguities can be deferred to implementation
  • Update spec immediately after clarification
  • Keep clarification log for future reference
  • Every resolved ambiguity should enable writing tests

Download now (ZIP)

  • Other versions82 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 82

    1. antonio-orionus/Arroxy★ 610same name
    2. spool-lab/spool★ 592same name
    3. paperboytm/spool★ 590same name
    4. talesofai/cohub★ 571same name
    5. ZaxbyHub/opencode-swarm★ 517same name
    6. zaxbysauce/opencode-swarm★ 503same name
    7. nexmoe/DayBee★ 424same name
    8. nexmoe/eve★ 421same name
    9. educlopez/ui-craft★ 398same name
    10. ryanthedev/code-foundations★ 381same name

    72 more not listed

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • Used alongsideProjects with it also use quieter, delight and 10 more.

    Other files people use alongside this one.

    Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
    • HK-hubSkill

      quieter

      Tones down visually aggressive or overstimulating designs, reducing intensity while preserving quality. Use when the user mentions too bold, too loud, overwhelming, aggressive, garish, or wants a calmer, more refined aesthetic.

      Also in 28 projects that use this

    • HK-hubSkill

      delight

      Add moments of joy, personality, and unexpected touches that make interfaces memorable and enjoyable to use. Elevates functional to delightful. Use when the user asks to add polish, personality, animations, micro-interactions, delight, or make an interface feel fun or memorable.

      Also in 27 projects that use this

    • zwy123zwySkill

      normalize

      将用户随意输入的提示词规范化为结构清晰、便于大模型执行的标准化提示词。适用于需要整理、统一提示词格式时调用。

      Also in 18 projects that use this

    • owshq-mecSkill

      layout

      Improve layout, spacing, and visual rhythm. Fixes monotonous grids, inconsistent spacing, and weak visual hierarchy. Use when the user mentions layout feeling off, spacing issues, visual hierarchy, crowded UI, alignment problems, or wanting better composition.

      Also in 8 projects that use this

    • jovijoviSkill

      extract

      Extract content from specific URLs using Tavily's extraction API. Returns clean markdown/text from web pages. Use when you have specific URLs and need their content without writing code.

      Also in 19 projects that use this

    • +7 more from HK-hub
  • In this repository15 other files it gives its agents.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.