quality-gates

This skill teaches agents how to assess task complexity, enforce quality gates, and prevent wasted work on incomplete or poorly-defined tasks.

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Install skill "quality-gates" with this command: npx skills add yonatangross/orchestkit/yonatangross-orchestkit-quality-gates

Quality Gates

This skill teaches agents how to assess task complexity, enforce quality gates, and prevent wasted work on incomplete or poorly-defined tasks.

Key Principle: Stop and clarify before proceeding with incomplete information. Better to ask questions than to waste cycles on the wrong solution.

Overview

Auto-Activate Triggers

  • Receiving a new task assignment

  • Starting a complex feature implementation

  • Before allocating work in Squad mode

  • When requirements seem unclear or incomplete

  • After 3 failed attempts at the same task

  • When blocked by dependencies

Manual Activation

  • User asks for complexity assessment

  • Planning a multi-step project

  • Before committing to a timeline

Core Concepts

Complexity Scoring (1-5 Scale)

Level Files Lines Time Characteristics

1 - Trivial 1 < 50 < 30 min No deps, no unknowns

2 - Simple 1-3 50-200 30 min - 2 hr 0-1 deps, minimal unknowns

3 - Moderate 3-10 200-500 2-8 hr 2-3 deps, some unknowns

4 - Complex 10-25 500-1500 8-24 hr 4-6 deps, significant unknowns

5 - Very Complex 25+ 1500+ 24+ hr 7+ deps, many unknowns

Load: Read("${CLAUDE_SKILL_DIR}/references/complexity-scoring.md") for detailed examples and assessment formulas.

Blocking Thresholds

Condition Threshold Action

YAGNI Gate Justified ratio > 2.0 BLOCK with simpler alternatives

YAGNI Warning Justified ratio 1.5-2.0 WARN with simpler alternatives

Critical Questions

3 unanswered BLOCK

Missing Dependencies Any blocking BLOCK

Failed Attempts

= 3 BLOCK & ESCALATE

Evidence Failure 2 fix attempts BLOCK

Complexity Overflow Level 4-5 no plan BLOCK

WARNING Conditions (proceed with caution):

  • Level 3 complexity

  • 1-2 unanswered questions

  • 1-2 failed attempts

Load: Read("${CLAUDE_SKILL_DIR}/references/blocking-thresholds.md") for escalation protocols and decision logic.

References

Load on demand with Read("${CLAUDE_SKILL_DIR}/references/<file>") :

File Content

complexity-scoring.md

Detailed Level 1-5 characteristics, quick assessment formula, checklist

blocking-thresholds.md

BLOCKING vs WARNING conditions, escalation protocol, gate decision logic, attempt tracking

workflows.md

Pre-task gate validation, stuck detection, complexity breakdown (Level 4-5), requirements completeness

gate-patterns.md

Gate validation process templates, context system integration, common pitfalls

llm-quality-validation.md

LLM-as-judge patterns, quality aspects, fail-open/closed strategies, graceful degradation, triple-consumer artifacts

Quick Reference

Gate Decision Flow

  1. YAGNI check (runs FIRST — before any implementation planning) → Read project tier from scope-appropriate-architecture → Calculate justified_complexity = planned_LOC / tier_appropriate_LOC → If ratio > 2.0: BLOCK (must simplify) → If ratio 1.5-2.0: WARN (present simpler alternative) → Security patterns exempt from YAGNI gate

  2. Assess complexity (1-5)

  3. Count critical questions unanswered

  4. Check dependencies blocked

  5. Check attempt count

if (yagni_ratio > 2.0) -> BLOCK with simpler alternatives else if (questions > 3 || deps blocked || attempts >= 3) -> BLOCK else if (complexity >= 4 && no plan) -> BLOCK else if (yagni_ratio > 1.5 || complexity == 3 || questions 1-2) -> WARNING else -> PASS

Gate Check Template

Quality Gate: [Task Name]

Complexity: Level [1-5] Unanswered Critical Questions: [Count] Blocked Dependencies: [List or None] Failed Attempts: [Count]

Status: PASS / WARNING / BLOCKED Can Proceed: Yes / No

Escalation Template

Escalation: Task Blocked

Task: [Description] Block Type: [Critical Questions / Dependencies / Stuck / Evidence] Attempts: [Count]

What Was Tried

  1. [Approach 1] - Failed: [Reason]
  2. [Approach 2] - Failed: [Reason]

Need Guidance On

  • [Specific question]

Recommendation: [Suggested action]

Integration with Context System

// Add gate check to context context.quality_gates = context.quality_gates || []; context.quality_gates.push({ task_id: taskId, timestamp: new Date().toISOString(), complexity_score: 3, gate_status: 'pass', // pass, warning, blocked critical_questions_count: 1, unanswered_questions: 1, dependencies_blocked: 0, attempt_count: 0, can_proceed: true });

Integration with Evidence System

// Before marking task complete const evidence = context.quality_evidence; const hasPassingEvidence = ( evidence?.tests?.exit_code === 0 || evidence?.build?.exit_code === 0 );

if (!hasPassingEvidence) { return { gate_status: 'blocked', reason: 'no_passing_evidence' }; }

Best Practices Pattern Library

Track success/failure patterns across projects to prevent repeating mistakes and proactively warn during code reviews.

Rule File Key Pattern

YAGNI Gate rules/yagni-gate.md

Pre-implementation scope check, justified complexity ratio, simpler alternatives

Pattern Library rules/practices-code-standards.md

Success/failure tracking, confidence scoring, memory integration

Review Checklist rules/practices-review-checklist.md

Category-based review, proactive anti-pattern detection

Pattern Confidence Levels

Level Meaning Action

Strong success 3+ projects, 100% success Always recommend

Mixed results Both successes and failures Context-dependent

Strong anti-pattern 3+ projects, all failed Block with explanation

Common Pitfalls

Pitfall Problem Solution

Skip gates for "simple" tasks Get stuck later Always run gate check

Ignore WARNING status Undocumented assumptions cause issues Document every assumption

Not tracking attempts Waste cycles on same approach Track every attempt, escalate at 3

Proceed when BLOCKED Build wrong solution NEVER bypass BLOCKED gates

Related Skills

  • ork:scope-appropriate-architecture

  • Project tier detection that feeds YAGNI gate

  • ork:architecture-patterns

  • Enforce testing standards as part of quality gates

  • llm-evaluation

  • LLM-as-judge patterns for quality validation

  • ork:golden-dataset

  • Validate datasets meet quality thresholds

Key Decisions

Decision Choice Rationale

Complexity Scale 1-5 levels Granular enough for estimation, simple enough for quick assessment

Block Threshold 3 critical questions Prevents proceeding with too many unknowns

Escalation Trigger 3 failed attempts Balances persistence with avoiding wasted cycles

Level 4-5 Requirement Plan required Complex tasks need upfront decomposition

Capability Details

complexity-scoring

Keywords: complexity, score, difficulty, estimate, sizing, 1-5 scale Solves: How complex is this task? Score task complexity on 1-5 scale, assess implementation difficulty

blocking-thresholds

Keywords: blocking, threshold, gate, stop, escalate, cannot proceed Solves: When should I block progress? >3 critical questions = BLOCK, Missing dependencies = BLOCK

critical-questions

Keywords: critical questions, unanswered, unknowns, clarify Solves: What are critical questions? Count unanswered, block if >3

stuck-detection

Keywords: stuck, failed attempts, retry, 3 attempts, escalate Solves: How do I detect when stuck? After 3 failed attempts, escalate

gate-validation

Keywords: validate, gate check, pass, fail, gate status Solves: How do I validate quality gates? Run pre-task gate validation

pre-task-gate-check

Keywords: pre-task, before starting, can proceed Solves: How do I check gates before starting? Assess complexity, identify blockers

complexity-breakdown

Keywords: breakdown, decompose, subtasks, split task Solves: How do I break down complex tasks? Split Level 4-5 into Level 1-3 subtasks

requirements-completeness

Keywords: requirements, incomplete, acceptance criteria Solves: Are requirements complete enough? Check functional/technical requirements

escalation-protocol

Keywords: escalate, ask user, need help, human guidance Solves: When and how to escalate? Escalate after 3 failed attempts

llm-as-judge

Keywords: llm as judge, g-eval, aspect scoring, quality validation Solves: How do I use LLM-as-judge? Evaluate relevance, depth, coherence with thresholds

yagni-gate

Keywords: yagni, over-engineering, justified complexity, scope check, too complex, simplify Solves: Is this complexity justified? Calculate justified_complexity ratio against project tier, BLOCK if > 2.0, surface simpler alternatives

Source Transparency

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