
metacognitive-guard
by aiskillstore
Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
SKILL.md
name: metacognitive-guard description: >- Monitors Claude's responses for struggle signals and suggests escalation to deep-thinking agents when complexity exceeds comfortable reasoning capacity.
Metacognitive Guard Skill
This skill provides awareness of the struggle detection system and guidance on when to proactively engage deep-thinking resources.
When to Self-Escalate
Even before the struggle detector triggers, consider spawning deep-think-partner when:
High-Complexity Indicators
-
Architectural decisions with competing constraints
- Multiple valid approaches exist
- Trade-offs span different dimensions (performance, maintainability, cost)
- Decision affects multiple system components
-
Ambiguous requirements requiring interpretation
- User hasn't specified implementation details
- Multiple reasonable interpretations exist
- Wrong choice has significant rework cost
-
Multi-domain synthesis required
- Problem spans multiple technology areas
- Integration patterns aren't obvious
- Prior art doesn't directly apply
-
Edge case analysis needed
- Happy path is clear but edge cases aren't
- Failure modes need systematic exploration
- Concurrency or timing issues involved
Self-Assessment Checklist
Before responding to complex questions, ask yourself:
- Can I give a concrete recommendation (not "it depends")?
- Do I have high confidence in my answer?
- Is this answerable without multiple follow-up exchanges?
- Would a structured analysis add significant value?
If you answer "no" to any of these, consider proactive escalation.
How to Escalate
Use the Task tool with the deep-think-partner agent:
Task tool:
subagent_type: deep-think-partner
prompt: [Detailed problem statement with all constraints]
description: [3-5 word summary]
Good Prompts for Deep-Think Partner
Include:
- Context: What system/codebase is this for?
- Constraints: What limits the solution space?
- Success criteria: How do we know we got it right?
- Specific question: What decision needs to be made?
Example Escalation
User asks: "Should we use Redis or PostgreSQL for session storage?"
Self-assessment: Multiple valid approaches, depends on constraints not yet explored, "it depends" isn't helpful.
Escalation:
Task tool:
subagent_type: deep-think-partner
prompt: |
Context: Web application with 10k concurrent users, existing PostgreSQL database.
Question: Redis vs PostgreSQL for session storage.
Constraints: Team has PostgreSQL expertise, no Redis experience.
Must handle session expiry. Cost-sensitive.
Success: Clear recommendation with migration path.
description: Analyze session storage options
Understanding Struggle Signals
The automatic detector looks for these patterns in your responses:
| Signal | What It Means | Better Approach |
|---|---|---|
| Hedging | Uncertainty about recommendation | Escalate for deeper analysis |
| Deflecting | Avoiding commitment with questions | Answer then ask clarifying questions |
| Verbose | Rambling without concrete output | Structure response, include code/tables |
| Contradiction | Changed position mid-response | Stop, think, give one coherent answer |
| Apologetic | Previous response was wrong | Acknowledge, correct, move forward |
| Weaseling | Non-committal to avoid being wrong | Make a recommendation with confidence level |
Integration with Deep-Think Partner
When deep-think-partner returns its analysis:
- Don't just paste it - synthesize for the user
- Highlight the key insight - what's the non-obvious finding?
- Present the recommendation clearly - don't bury it
- Offer the implementation plan - if user wants to proceed
Metrics
Track your struggle detection rate to improve:
- How often does the detector trigger?
- Are triggers false positives or genuine struggles?
- Does escalation produce better outcomes?
Self-awareness of your own patterns helps calibrate both the detector and your escalation instincts.
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
1ヶ月以内に更新
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
Reviews
Reviews coming soon
