This skill should be used when the user's request or requirement is ambiguous and needs iterative questioning to become actionable.

MITAuto-check passedAgent Workflows

Install Vague

skills CLI
$ npx skills add team-attention/plugins-for-claude-natives --skill vague -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install team-attention/plugins-for-claude-natives vague --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/team-attention/plugins-for-claude-natives.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/clarify/skills/vague .claude/skills/vague && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
vague
GitHub stars
827
Token cost
~1k tokens
SKILL.md length
284 words
Files
1
Skills in repo
16
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when the user's request or requirement is ambiguous and needs iterative questioning to become actionable.

  • Works in 4 steps: Capture and Diagnose → Iterative Clarification → Before/After Summary → …
  • Requirement is ambiguous and needs iterative questioning to become actionable
  • SKILL.md covers When to Use, Core Principle: Hypotheses as…, Protocol and Ambiguity Categories, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vague is an agent skill from team-attention/plugins-for-claude-natives. This skill should be used when the user's request or requirement is ambiguous and needs iterative questioning to become actionable. Trigger on "clarify requirements", "refine requirements", "요구사항 명확히", "요구사항 정리", "뭘 원하는 건지", "make this clearer", "spec this out", "scope this", "/clarify". Turns vague inputs into concrete specs. For strategy blind spots use unknown; for content-vs-form reframing use metamedium.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Requirements gathering. The repository describes itself as: Claude Code plugins for power users. The licence is MIT.

When your agent uses it

  • Requirement is ambiguous and needs iterative questioning to become actionable
  • Clarify requirements
  • Refine requirements
  • Make this clearer

Example prompts

  • “clarify requirements”
  • “refine requirements”
  • “make this clearer”
  • “/vague”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Capture and Diagnose
  2. Iterative Clarification
  3. Before/After Summary
  4. Save Option

What it can do on your machine

Read from SKILL.md and the folder at commit fd9c207. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Vague loads about 1k tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 284 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~105
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from team-attention/plugins-for-claude-natives at commit fd9c207, republished under its MIT licence (© team-attention). 284 words, ~1,006 tokens.

Download SKILL.mdSave it as .claude/skills/vague/SKILL.md (or your agent's skills folder).
name
vague
description
This skill should be used when the user's request or requirement is ambiguous and needs iterative questioning to become actionable. Trigger on "clarify requirements", "refine requirements", "요구사항 명확히", "요구사항 정리", "뭘 원하는 건지", "make this clearer", "spec this out", "scope this", "/clarify". Turns vague inputs into concrete specs. For strategy blind spots use unknown; for content-vs-form reframing use metamedium.

Vague: Requirement Clarification

Transform vague or ambiguous requirements into precise, actionable specifications through hypothesis-driven questioning. ALWAYS use the AskUserQuestion tool — never ask clarifying questions in plain text.

When to Use

  • Ambiguous feature requests ("add a login feature")
  • Incomplete bug reports ("the export is broken")
  • Underspecified tasks ("make the app faster")

For strategy/planning blind spot analysis, use the unknown skill. For content-vs-form reframing, use the metamedium skill.

Core Principle: Hypotheses as Options

Present plausible interpretations as options instead of asking open questions. Each option is a testable hypothesis about what the user actually means.

BAD:  "What kind of login do you want?"           ← open question, high cognitive load
GOOD: "OAuth / Email+Password / SSO / Magic link" ← pick one, lower load

Protocol

Phase 1: Capture and Diagnose

Record the original requirement verbatim. Identify ambiguities:

  • What is unclear or underspecified?
  • What assumptions would need to be made?
  • What decisions are left to interpretation?
Phase 2: Iterative Clarification

Use AskUserQuestion to resolve ambiguities. Batch up to 4 related questions per call. Each option is a hypothesis about what the user means.

Cap: 5-8 total questions. Stop when all critical ambiguities are resolved, OR user indicates "good enough", OR cap reached.

Example AskUserQuestion call:

questions:
  - question: "Which authentication method should the login use?"
    header: "Auth method"
    options:
      - label: "Email + Password"
        description: "Traditional signup with email verification"
      - label: "OAuth (Google/GitHub)"
        description: "Delegated auth, no password management needed"
      - label: "Magic link"
        description: "Passwordless email-based login"
    multiSelect: false
  - question: "What should happen after registration?"
    header: "Post-signup"
    options:
      - label: "Immediate access"
        description: "User can use the app right away"
      - label: "Email verification first"
        description: "Must confirm email before access"
    multiSelect: false
Phase 3: Before/After Summary

Present the transformation:

markdown
## Requirement Clarification Summary

### Before (Original)
"{original request verbatim}"

### After (Clarified)
**Goal**: [precise description]
**Scope**: [included and excluded]
**Constraints**: [limitations, preferences]
**Success Criteria**: [how to know when done]

**Decisions Made**:
| Question | Decision |
|----------|----------|
| [ambiguity 1] | [chosen option] |
Phase 4: Save Option

Ask whether to save the clarified requirement to a file. Default location: requirements/ or project-appropriate directory.

Ambiguity Categories

CategoryExample Hypotheses
ScopeAll users / Admins only / Specific roles
BehaviorFail silently / Show error / Auto-retry
InterfaceREST API / GraphQL / CLI
DataJSON / CSV / Both
Constraints<100ms / <1s / No requirement
PriorityMust-have / Nice-to-have / Future

Rules

  1. Hypotheses, not open questions: Every option is a plausible interpretation
  2. No assumptions: Ask, don't assume
  3. Preserve intent: Refine, don't redirect
  4. 5-8 questions max: Beyond this is fatigue
  5. Batch related questions: Up to 4 per AskUserQuestion call
  6. Track changes: Always show before/after

© team-attention, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/clarify/skills/vague of team-attention/plugins-for-claude-natives.

Open the folder on GitHubat commit fd9c207

Compare with similar skills

Vague next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Vague compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vague this skillteam-attention/plugins-for-claude-natives827—~1kAutomated safety check: PassMIT
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills103k6 repos~3.8kAutomated safety check: PassMIT
Grillingpietheinstrengholt/rssmonster56431 repos~510Automated safety check: PassMIT
Agentic Workflow Designerdotnet/Open-XML-SDK4.6k2 repos~3.5kAutomated safety check: PassMIT
Ask User QuestionMemTensor/MemOS12k—~1kAutomated safety check: PassApache-2.0

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Categories

Questions about Vague

What does Vague do?

This skill should be used when the user's request or requirement is ambiguous and needs iterative questioning to become actionable. Vague is an agent skill from team-attention/plugins-for-claude-natives. This skill should be used when the user's request or requirement is ambiguous and needs iterative questioning to become actionable.

When should I use Vague?

Vague fits situations like: requirement is ambiguous and needs iterative questioning to become actionable; clarify requirements; refine requirements; make this clearer.

How do I install Vague in Claude Code?

Run `npx skills add team-attention/plugins-for-claude-natives --skill vague -a claude-code`. Or copy the skill folder (plugins/clarify/skills/vague in team-attention/plugins-for-claude-natives) into .claude/skills/vague in your project. Claude Code loads it when a task matches its description.

How do I install Vague in Codex?

Run `npx skills add team-attention/plugins-for-claude-natives --skill vague -a codex`. Or copy the skill folder (plugins/clarify/skills/vague in team-attention/plugins-for-claude-natives) into .agents/skills/vague in your project. Codex loads it when a task matches its description.

Can I use Vague in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add team-attention/plugins-for-claude-natives --skill vague -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vague, .gemini/skills/vague, .github/skills/vague and .opencode/skills/vague in your project.

What does Vague need to run?

SKILL.md names no scripts, command-line tools or credentials: Vague is instructions for the agent only.

Does Vague access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Vague safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Vague use?

Vague is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vague use?

About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Vague?

Skills that share tags, products or a category with Vague: Using Superpowers (farm-fe/farm, 5.6k stars), Interview Me (addyosmani/agent-skills, 103k stars), Grilling (pietheinstrengholt/rssmonster, 564 stars) and Agentic Workflow Designer (dotnet/Open-XML-SDK, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vague?

team-attention (a GitHub organization) maintains it in team-attention/plugins-for-claude-natives, which has 827 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on April 20, 2026.

Source: team-attention/plugins-for-claude-natives on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.