Selects optimal sources for tool calls, balancing accuracy with token cost. Use before research tasks or when deciding whether a claim needs verification
编程
decisive-action
试用Guides when to ask clarifying questions versus proceed autonomously. Use to reduce unnecessary clarifying questions when intent is clear
它能做什么
Guides when to ask clarifying questions versus proceed autonomously. Use to reduce unnecessary clarifying questions when intent is clear
技能文档
Night Market Skill — ported from claude-night-market/conserve. For the full experience with agents, hooks, and commands, install the Claude Code plugin.
Decisive Action
Guidance on when to ask clarifying questions versus proceeding autonomously.
When To Use
- Reducing unnecessary clarifying questions
- Taking autonomous action when intent is clear
When NOT To Use
- High-stakes irreversible operations requiring explicit confirmation
- Ambiguous requirements where clarification prevents wasted work
Core Principle
Ask questions only when ambiguity would materially impair correctness or capacity to fulfill the request precisely.
When to Ask (High Impact Ambiguity)
Always Ask For
| Scenario | Why | Example |
|---|---|---|
| Destructive Operations | Irreversible, high cost of error | "Delete which files?" |
| Multiple Valid Approaches | Materially different tradeoffs | "Add index vs cache vs denormalize?" |
| Security-Critical | Wrong choice = vulnerability | "Which auth method?" |
| Data Migration | Data loss risk | "Preserve or transform?" |
| Breaking Changes | Affects downstream users | "Deprecate or remove?" |
Ask Threshold Checklist
Before asking, verify:
- >30% chance of wrong interpretation
- Error cost > correction cost
- No clear standard approach exists
- User context doesn't clarify intent
When to Proceed Without Asking
Default to Action For
| Scenario | Why | Assumption |
|---|---|---|
| Standard Approach Exists | Industry convention | Use conventional pattern |
| Easily Reversible | Low cost of error | Can undo via git/backup |
| Clear from Context | Intent is obvious | Proceed with stated goal |
| User Can Review | PR/dry-run available | Changes are inspectable |
Proceed Threshold Checklist
Proceed without asking if:
- Standard/obvious solution exists
- Easily reversible (git, backup)
- User can review before finalize
- Context makes intent clear
- Error cost < interruption cost
Decision Matrix
| Reversibility | Ambiguity | Action |
|---|---|---|
| Reversible | Low | Proceed |
| Reversible | High | Proceed with preview |
| Irreversible | Low | Proceed with confirmation |
| Irreversible | High | Ask |
Safety Mechanisms
Before Proceeding Autonomously
- Dry-run/Preview: Show proposed action before executing
- Backup First: Create git branch, backup directory
- Incremental Changes: Commit small, reviewable chunks
- Document Assumptions: In commit message or PR description
Undo Capability
Always ensure rollback is possible:
- Git operations:
git stash, backup branches - File operations: Copy before modify
- Data operations: Transaction rollback
Examples
Example: Should Ask
User: "Delete the old files"
Analysis:
- Destructive operation ✗
- Multiple interpretations ✗
- No clear standard ✗
Response:
Which files should I delete? I found:
- Files unchanged >6 months: 23 files
- Files in deprecated/: 5 files
- Files marked TODO remove: 2 files
Example: Should Proceed
User: "Add error handling to the parser"
Analysis:
- Standard approach exists ✓
- Easily reversible (git) ✓
- User can review PR ✓
Action: Implement try/catch with logging, create PR.
Example: Proceed with Preview
User: "Refactor the API layer"
Analysis:
- Multiple valid approaches
- BUT: reversible via git
- AND: user can review
Action:
Refactoring API layer. Proposed changes:
1. Extract authentication middleware
2. Standardize error responses
3. Add request validation
Creating branch: refactor/api-layer
Preview diff available before merge.
Anti-Patterns
Asking Too Much (Inefficient)
- Asking for every implementation detail
- Seeking validation for obvious choices
- Repeating questions already answered in context
Asking Too Little (Risky)
- Proceeding with destructive actions silently
- Assuming intent when multiple valid interpretations exist
- Ignoring ambiguity in security-critical operations
Integration
Combine with:
conserve:response-compression- Direct communicationsanctum:git-workspace-review- Context gatheringimbue:scope-guard- Scope management
Quick Reference
| Situation | Action |
|---|---|
| "Delete X" | Ask which X |
| "Add feature" | Proceed with standard approach |
| "Fix bug" | Proceed with obvious fix |
| "Choose between A/B" | Ask for preference |
| "Optimize query" | Ask if multiple approaches |
| "Format code" | Proceed with project style |
| "Deploy to prod" | Ask for confirmation |
相关技能
Guides project ideation via Socratic questioning to produce a validated brief. Use before specification when requirements are unclear
Compresses verbose responses by removing filler and framing to save 200-400 tokens
Manages context overflow by handing off to a fresh subagent at 80% usage
Assesses decision reversibility and risk at critical checkpoints
Use when a user wants to rehearse a high-pressure conversation such as a performance review, reporting meeting, promotion defense, difficult manager conversa...