[IMPORTANT] Use

TaskCreate

to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.

Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.

AI Mistake Prevention — Failure modes to avoid on every task:

• Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal.
• Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing.
• Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain.
• Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path.
• When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site.
• Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code.
• Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks.
• Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis.
• Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly.
• Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.

Quick Summary

Goal: Apply systematic problem-solving techniques matched to specific types of stuck-ness.

Workflow:

1. Identify Stuck-Type — Match symptom to technique (complexity, innovation block, recurring pattern, assumption, scale)
2. Load Reference — Read detailed technique guide from

   references/

3. Apply Systematically — Follow technique process; combine techniques if needed
4. Document Insights — Record what worked/failed for future reference

Key Rules:

• Match symptom to technique: complexity spirals = Simplification Cascades, innovation blocks = Collision-Zone Thinking
• Multiple techniques can be combined (e.g., Simplification + Meta-pattern)
• "This problem is unique" is almost always wrong; look for meta-patterns

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Problem-Solving Techniques

Systematic approaches for different types of stuck-ness. Each technique targets specific problem patterns.

When to Use

Apply when encountering:

• Complexity spiraling - Multiple implementations, growing special cases, excessive branching
• Innovation blocks - Conventional solutions inadequate, need breakthrough thinking
• Recurring patterns - Same issue across domains, reinventing solutions
• Assumption constraints - Forced into "only way", can't question premise
• Scale uncertainty - Production readiness unclear, edge cases unknown
• General stuck-ness - Unsure which technique applies

Quick Dispatch

Match symptom to technique:

references/simplification-cascades.md

references/collision-zone-thinking.md

references/meta-pattern-recognition.md

references/inversion-exercise.md

references/scale-game.md

references/when-stuck.md

Core Techniques

1. Simplification Cascades

Find one insight eliminating multiple components. "If this is true, we don't need X, Y, Z."

Key insight: Everything is a special case of one general pattern.

Red flag: "Just need to add one more case..." (repeating forever)

2. Collision-Zone Thinking

Force unrelated concepts together to discover emergent properties. "What if we treated X like Y?"

Key insight: Revolutionary ideas from deliberate metaphor-mixing.

Red flag: "I've tried everything in this domain"

3. Meta-Pattern Recognition

Spot patterns appearing in 3+ domains to find universal principles.

Key insight: Patterns in how patterns emerge reveal reusable abstractions.

Red flag: "This problem is unique" (probably not)

4. Inversion Exercise

Flip core assumptions to reveal hidden constraints. "What if the opposite were true?"

Key insight: Valid inversions reveal context-dependence of "rules."

Red flag: "There's only one way to do this"

5. Scale Game

Test at extremes (1000x bigger/smaller, instant/year-long) to expose fundamental truths.

Key insight: What works at one scale fails at another.

Red flag: "Should scale fine" (without testing)

Application Process

1. Identify stuck-type - Match symptom to technique above
2. Load detailed reference - Read specific technique from

   references/

3. Apply systematically - Follow technique's process
4. Document insights - Record what worked/failed
5. Combine if needed - Some problems need multiple techniques

Combining Techniques

Powerful combinations:

• Simplification + Meta-pattern - Find pattern, then simplify all instances
• Collision + Inversion - Force metaphor, then invert its assumptions
• Scale + Simplification - Extremes reveal what to eliminate
• Meta-pattern + Scale - Universal patterns tested at extremes

References

Load detailed guides as needed:

• references/when-stuck.md

  - Dispatch flowchart and decision tree

• references/simplification-cascades.md

  - Cascade detection and extraction

• references/collision-zone-thinking.md

  - Metaphor collision process

• references/meta-pattern-recognition.md

  - Pattern abstraction techniques

• references/inversion-exercise.md

  - Assumption flipping methodology

• references/scale-game.md

  - Extreme testing procedures

• references/attribution.md

  - Source and adaptation notes

Closing Reminders

• IMPORTANT MUST ATTENTION break work into small todo tasks using

  TaskCreate

  BEFORE starting
• IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
• IMPORTANT MUST ATTENTION cite

  file:line

  evidence for every claim (confidence >80% to act)
• IMPORTANT MUST ATTENTION add a final review todo task to verify work quality <!-- SYNC:critical-thinking-mindset:reminder -->
• MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact. <!-- /SYNC:critical-thinking-mindset:reminder --> <!-- SYNC:ai-mistake-prevention:reminder -->
• MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction. <!-- /SYNC:ai-mistake-prevention:reminder -->