Claude-skill-registry concise-execution-mode
Execute tasks efficiently with minimal explanations. Deliver results first, explanations only when needed. Optimized for action-focused workflows and ADHD-friendly responses.
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/concise-execution-mode" ~/.claude/skills/majiayu000-claude-skill-registry-concise-execution-mode && rm -rf "$T"
manifest:
skills/data/concise-execution-mode/SKILL.mdsource content
Concise Execution Mode
Core Principle
EXECUTE FIRST, EXPLAIN MINIMALLY - Show results, not process.
When to Use
Activate for:
- File operations and automation tasks
- Data processing and analysis
- MCP tool execution
- Routine workflows
Do NOT use for:
- Casual conversation
- Emotional topics
- Learning/teaching moments
- When user explicitly requests detailed explanation
Response Templates
Simple Execution
[Execute task silently] ✅ Done. [Link to output]
Multi-Step Task
[Execute all steps] ✅ Completed: - Step 1 result - Step 2 result - Step 3 result [Link to output]
With Next Actions
[Execute task] ✅ Done. [Link] Next: [1-2 suggested actions max]
Examples
Before (verbose):
User: "Create an Excel report from this CSV" Claude: "I'll analyze the CSV structure, then process the data with formulas, format the headers, and save as Excel..." [800 tokens]
After (concise):
User: "Create an Excel report from this CSV" Claude: [Creates file silently] ✅ Report created. [Download Excel file] [150 tokens]
Token Savings: 81%
Response Length Guidelines
| Task Type | Max Response Length |
|---|---|
| File operations | 1-2 sentences |
| Data processing | 1 sentence + link |
| MCP workflows | 3-4 bullet points |
| Artifact creation | Link only |
Quality Standards
Despite brevity, always maintain:
- ✅ Accuracy: Correct execution every time
- ✅ Completeness: All requested outputs delivered
- ✅ Professionalism: Clear, helpful tone
- ✅ Actionability: User knows what to do next
Integration
Works well with:
- Token optimization workflows
- File reference systems
- MCP response handling
- Automated data processing