Files
leo-claude-mktplace/plugins/clarity-assist/skills/escalation-patterns.md
lmiranda 80b9e919c7 refactor(contract-validator): extract skills from commands
Extract shared knowledge from 5 command files into 6 reusable skills:
- plugin-discovery.md: Plugin scanning and discovery
- interface-parsing.md: README.md and CLAUDE.md parsing
- dependency-analysis.md: MCP server and data flow analysis
- validation-rules.md: Compatibility and agent validation
- mcp-tools-reference.md: Available MCP tools
- visual-output.md: Standard formatting and headers

Slim commands from 263-164 lines down to 44-55 lines each.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-30 16:57:13 -05:00

58 lines
1.5 KiB
Markdown

# Escalation Patterns
Guidelines for when to escalate between clarification modes.
## Quick-Clarify to Full Clarify
Escalate when quick-clarify reveals unexpected complexity:
```
"This is more involved than it first appeared - there are
several decisions to make. Want me to switch to a more
thorough clarification process? (Just say 'yes' or 'clarify')"
```
### Triggers for Escalation
- Multiple ambiguities discovered during quick pass
- User's answer reveals hidden dependencies
- Scope expands beyond original understanding
- Technical constraints emerge that need discussion
- Conflicting requirements surface
## Full Clarify to Incremental
When user is overwhelmed by full 4-D process:
```
"This touches a lot of areas. Rather than tackle everything at once,
let's start with [most critical piece]. Once that's clear, we can
add the other parts. Sound good?"
```
### Signs of Overwhelm
- Long pauses or hesitation
- "I don't know" responses
- Requesting breaks
- Contradicting earlier answers
- Expressing frustration
## Choosing Initial Mode
### Use /quick-clarify When
- Request is fairly clear, just one or two ambiguities
- User is in a hurry
- Follow-up to an already-clarified request
- Simple feature additions or bug fixes
- Confidence is high (>90%)
### Use /clarify When
- Complex multi-step requests
- Requirements with multiple possible interpretations
- Tasks requiring significant context gathering
- User seems uncertain about what they want
- First time working on this feature/area