sickn33/agentic-awesome-skills/rich-elicitation
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Asks clarifying questions in multiple rounds before starting ambiguous tasks. Fires when 2+ task dimensions each have 3+ viable answers.
Install
npx vskill@latest install sickn33/agentic-awesome-skills/rich-elicitationSKILL.md
Rich Elicitation Skill
Overview
This skill governs how Antigravity resolves task ambiguity before starting work. When a user's request has too many unanswered dimensions — each with several reasonable answers — Antigravity asks targeted clarifying questions across multiple rounds rather than silently picking defaults.
The goal is a correct first draft, not a generic answer that requires three revision cycles. Rounds are capped at three; anything still unclear after Round 3 gets a stated assumption and Antigravity proceeds.
When to Use This Skill
- Use when a request has 2 or more dimensions that are ambiguous and each has 3+ viable options
- Use when the user's likely intent is unclear across scope, audience, tone, format, or strategy
- Use when an early answer would meaningfully change the structure or direction of the output
- Use when working on writing, planning, design, recommendations, or creative tasks with open-ended scope
- Use when a Round 1 answer unlocks a new set of meaningful choices that need resolving before proceeding
Do not trigger for:
- Simple factual lookups or math
- Clearly scoped requests with a single obvious interpretation
- Minor unknowns where a safe default exists
How It Works
Step 1: Run the Trigger Checklist
Before starting any task, mentally check how many of these apply:
| Signal | Action | |
|---|---|---|
| Multiple valid output formats | Ask about format | |
| Audience is unknown | Ask about audience | |
| Tone is ambiguous | Ask about tone | |
| Scope could be narrow or broad | Ask about depth/length | |
| Technical vs. simple treatment unclear | Ask about technical level | |
| Multiple strategic directions exist | Ask which direction | |
| User's constraints are unknown | Ask about constraints |
If 2+ rows apply → trigger this skill.
Step 2: Ask Round 1 Questions
Ask up to 3 questions using ask_user_input_v0. Group related questions in a single call. Lead with 1–2 sentences explaining why you're asking. Mark one option per question as (Recommended).
Step 3: Re-run the Checklist
After Round 1 answers, re-run the checklist on what's still unresolved. If 2+ rows still apply, run Round 2. Otherwise, proceed.
Step 4: Run Follow-up Rounds (if needed)
| Round | Purpose | Max questions | |
|---|---|---|---|
| Round 1 | Blocking questions — shape the entire output | 3 | |
| Round 2 | Follow-ups unlocked by Round 1 answers | 3 | |
| Round 3 | Final details — use sparingly | 2 |
Transition between rounds naturally. Don't announce "Round 2" mechanically. Use phrasing like:
"Got it — that helps a lot. One more thing before I start:"
Step 5: Proceed
After Round 3 (or earlier, if enough context exists), state any remaining assumptions briefly and begin the task.
Examples
Example 1: Multi-Round — Investor Pitch Deck
User: "Help me create a presentation for my project."
Round 1 — Three blocking questions:
User answers: Investors | Pitch | Rough notes → Round 2 is warranted.
Round 2 — Unlocked by Round 1:
No Round 3 needed — proceed.
Example 2: Single-Round — Business Email
User: "Write a business email to follow up on a proposal."
Round 1 only:
Enough context. No Round 2 needed.
Best Practices
- ✅ Always mark one option per question as (Recommended)
- ✅ Lead with a 1–2 sentence framing before the question widget
- ✅ Group up to 3 related questions in a single
ask_user_input_v0call - ✅ Re-evaluate after each round — stop as soon as you have enough context
- ✅ Use
single_selectfor mutually exclusive choices,multi_selectwhen combinations are valid - ✅ State remaining assumptions explicitly before proceeding after Round 3
- ❌ Don't ask 6 separate question calls when 2 grouped calls would do
- ❌ Don't mark two options as Recommended in the same question
- ❌ Don't use vague option labels like "Other" or "It depends" without elaborating
- ❌ Don't mechanically label rounds in the UI ("Round 1:", "Round 2:")
- ❌ Don't run a follow-up round for minor details that have safe defaults
Limitations
- This skill does not validate whether the user's answers are internally consistent — it trusts them as given.
- Round structure is a guideline, not a rigid contract; judgment is required on when to stop.
- Works best with
ask_user_input_v0— in environments without that tool, question quality may degrade. - Does not handle tasks where ambiguity can only be resolved by fetching external information (e.g., reading a file the user hasn't uploaded).
- Not designed for real-time or high-latency-sensitive workflows where any question overhead is unacceptable.
Security & Safety Notes
This skill is pure reasoning — it issues no shell commands, reads no files, makes no network requests, and mutates no state. Risk level is none.
Repository validation requirements still apply; this skill cannot exempt itself from mandatory checks.
Common Pitfalls
- Problem: Antigravity asks one good question, gets an answer, then proceeds without checking if new unknowns emerged.
Solution: Always re-run the trigger checklist mentally after each round before deciding to proceed.
- Problem: All options in a question look equally valid so Antigravity marks none as Recommended.
Solution: Pick the option that works for most users or is lowest-risk and mark it. "No preference" is rarely true.
- Problem: Antigravity runs 4+ rounds trying to eliminate every unknown.
Solution: Hard cap at 3 rounds. After Round 3, state assumptions and proceed.
- Problem: Round 2 questions cover the same category as Round 1 (e.g., tone again).
Solution: Each round should unlock new dimensions, not re-ask resolved ones.
Related Skills
@ask-user-questions— Single-round elicitation with recommended options. Use that skill for simpler tasks; use rich-elicitation when answers to early questions open up new meaningful choices.
Use whichever question tool the host actually provides, or concise plain-text questions. The round cap does not convert a missing authorization, target scope, identity fact or safety requirement into permission; continue only work independent of those missing inputs. Reuse prior user answers and stop asking once a reasonable scoped result can be produced.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/rich-elicitation/SKILL.md
Popularity
- Repository stars
- 47,054
- Repository forks
- 6,853
- 7-day trend score
- 54
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
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