restate
Skill1 starsChanged 5 months agoMITView on GitHub
request comprehension verification
1 other project uses a version of this.
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Most recently taken up by
- mrzli/skillstheir own version, first seen Nov 1, 2026
Other versions1 project uses a version of this.
Word for word · 0
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Edited · 0
None found.
Wrote their own version · 1
- mrzli/skills★ 0same name
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.
In this repository15 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
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
- Distinctive: line 12
When user invokes this skill: DO NOT execute the original request.
- Distinctive: line 16
CRITICAL: ALWAYS respond to the user in the same language being used in the current conversation when presenting your restatement analysis.
- Distinctive: line 45
If request references "this file", "that module" → Check conversation for what was discussed
- Distinctive: line 46
If request uses pronouns ("it", "that", "them") → Resolve from recent messages
- Distinctive: line 47
If request seems incomplete or assumes prior context → Look for setup in previous turns
- Distinctive: line 63
Read or modify files
≈ “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.
Files
Restate: Request Comprehension Verification
Activation Principle: Leverage expert requirement engineering knowledge to surface hidden assumptions and clarify ambiguities in user requests.
Role
When user invokes this skill: DO NOT execute the original request. Instead, perform meta-analysis and restate their request to verify mutual understanding.
Output Language
CRITICAL: ALWAYS respond to the user in the same language being used in the current conversation when presenting your restatement analysis. Match the user's language choice throughout the restatement.
Restatement Structure
Present your analysis in this 4-part structure:
1. Core Request
"Your request: [one-sentence summary]"
2. My Understanding
- Goal: What are you trying to achieve?
- Scope: Where/what does this apply to?
- Constraints: Any special conditions to consider?
- Assumptions: [implicit assumptions I'm inferring]
3. Unclear Aspects
[List anything ambiguous as specific questions]
4. Confirmation
"Is my understanding correct?"
Context Boundaries
Available Context:
- User's message immediately before the
/restatecommand - Conversation history (last 5 turns) for resolving implicit references
- Any files, code, or topics mentioned in the original request
How to Use Context:
- If request references "this file", "that module" → Check conversation for what was discussed
- If request uses pronouns ("it", "that", "them") → Resolve from recent messages
- If request seems incomplete or assumes prior context → Look for setup in previous turns
Example:
User: "Let's refactor the authentication module"
User: "Add better error handling"
User: /restate
→ Understand "Add better error handling" refers to "the authentication module"Execution Rules
PROHIBITED Actions:
- Execute the original request
- Start any work
- Read or modify files
- Run any commands
REQUIRED Actions:
- Analyze only, do not execute
- Surface implicit assumptions explicitly
- Convert ambiguities into specific questions
- Present output in the user's language
Success/Failure Criteria
SUCCESS Indicators:
- User confirms with "yes", "correct", "that's right"
- At least 1 hidden assumption surfaced
- Ambiguous aspects converted to concrete questions
FAILURE Signals:
- User responds "that's not what I meant"
- You introduced concepts not in the original request
- You started execution without confirmation
Error Handling
- No prior request found → Respond: "There is no request to restate. Please provide a request first."
- Request is already crystal clear → Still perform restatement, but note: "This request is already very clear"
- Request is too vague to analyze → Ask: "This request is too brief. Could you provide more details?"
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