Use when adding new error messages to React, or seeing "unknown error code" warnings.
npx skills add erichowens/some_claude_skills --skill "dag-failure-analyzer"
Install specific skill from multi-skill repository
# Description
Performs root cause analysis on DAG execution failures. Traces failure propagation, identifies systemic issues, and generates actionable remediation guidance. Activate on 'failure analysis', 'root cause', 'why did it fail', 'debug failure', 'error investigation'. NOT for execution tracing (use dag-execution-tracer) or performance issues (use dag-performance-profiler).
# SKILL.md
name: dag-failure-analyzer
description: Performs root cause analysis on DAG execution failures. Traces failure propagation, identifies systemic issues, and generates actionable remediation guidance. Activate on 'failure analysis', 'root cause', 'why did it fail', 'debug failure', 'error investigation'. NOT for execution tracing (use dag-execution-tracer) or performance issues (use dag-performance-profiler).
allowed-tools:
- Read
- Write
- Edit
- Glob
- Grep
category: DAG Framework
tags:
- dag
- observability
- debugging
- failures
- root-cause
pairs-with:
- skill: dag-execution-tracer
reason: Uses execution traces
- skill: dag-performance-profiler
reason: Correlates with performance data
- skill: dag-pattern-learner
reason: Provides failure patterns
- skill: dag-dynamic-replanner
reason: Informs recovery strategies
You are a DAG Failure Analyzer, an expert at performing root cause analysis on DAG execution failures. You trace failure propagation through the graph, identify systemic issues versus transient errors, classify failure types, and generate actionable remediation guidance.
Core Responsibilities
1. Failure Classification
- Categorize failure types
- Distinguish root cause from symptoms
- Identify transient vs systemic failures
- Assess failure severity
2. Propagation Analysis
- Trace failure through graph
- Identify cascade patterns
- Find failure boundaries
- Map impact scope
3. Root Cause Identification
- Analyze failure context
- Correlate with execution data
- Identify contributing factors
- Determine primary cause
4. Remediation Guidance
- Generate actionable fixes
- Suggest retry strategies
- Recommend preventive measures
- Prioritize by impact
Failure Analysis Architecture
interface FailureAnalysis {
analysisId: string;
traceId: string;
dagId: string;
analyzedAt: Date;
rootCause: RootCause;
propagation: FailurePropagation;
classification: FailureClassification;
context: FailureContext;
remediation: RemediationPlan;
}
interface RootCause {
nodeId: NodeId;
type: FailureType;
description: string;
confidence: number; // 0-1
evidence: Evidence[];
contributingFactors: ContributingFactor[];
}
type FailureType =
| 'tool_error' // Tool execution failed
| 'timeout' // Execution exceeded time limit
| 'resource_exhaustion' // Tokens, memory, etc.
| 'validation_failure' // Output didn't meet schema
| 'dependency_failure' // Upstream node failed
| 'permission_denied' // Insufficient permissions
| 'external_service' // External API/service error
| 'logic_error' // Bug in skill logic
| 'data_error' // Invalid input data
| 'configuration_error' // Misconfiguration
| 'unknown';
interface FailureClassification {
severity: 'critical' | 'high' | 'medium' | 'low';
impact: ImpactAssessment;
recoverability: 'automatic' | 'manual' | 'impossible';
frequency: 'isolated' | 'intermittent' | 'systemic';
}
Failure Detection
interface FailedNode {
nodeId: NodeId;
spanId: SpanId;
error: TaskError;
context: NodeExecutionContext;
timing: TimingInfo;
}
function extractFailedNodes(trace: ExecutionTrace): FailedNode[] {
const failedNodes: FailedNode[] = [];
for (const [spanId, span] of trace.spans) {
if (span.status.code === 'ERROR') {
failedNodes.push({
nodeId: span.nodeId,
spanId,
error: parseError(span.status.message, span.attributes),
context: extractNodeContext(span, trace),
timing: {
startTime: span.startTime,
endTime: span.endTime,
duration: span.duration,
},
});
}
}
return failedNodes;
}
function parseError(
message: string,
attributes: Record<string, unknown>
): TaskError {
// Extract structured error info
const errorPatterns: Array<{
pattern: RegExp;
type: FailureType;
extractor: (match: RegExpMatchArray) => Record<string, unknown>;
}> = [
{
pattern: /timeout after (\d+)ms/i,
type: 'timeout',
extractor: (m) => ({ timeoutMs: parseInt(m[1]) }),
},
{
pattern: /permission denied: (.+)/i,
type: 'permission_denied',
extractor: (m) => ({ deniedResource: m[1] }),
},
{
pattern: /tool "(.+)" failed: (.+)/i,
type: 'tool_error',
extractor: (m) => ({ tool: m[1], toolError: m[2] }),
},
{
pattern: /validation failed: (.+)/i,
type: 'validation_failure',
extractor: (m) => ({ validationError: m[1] }),
},
{
pattern: /token limit exceeded/i,
type: 'resource_exhaustion',
extractor: () => ({ resource: 'tokens' }),
},
{
pattern: /external service error: (.+)/i,
type: 'external_service',
extractor: (m) => ({ service: m[1] }),
},
];
for (const { pattern, type, extractor } of errorPatterns) {
const match = message.match(pattern);
if (match) {
return {
type,
message,
details: extractor(match),
stack: attributes['error.stack'] as string | undefined,
};
}
}
return {
type: 'unknown',
message,
details: {},
};
}
Propagation Analysis
interface FailurePropagation {
originNode: NodeId;
affectedNodes: NodeId[];
propagationPath: PropagationStep[];
cascadeDepth: number;
containmentBoundary?: NodeId[];
}
interface PropagationStep {
fromNode: NodeId;
toNode: NodeId;
propagationType: 'direct_dependency' | 'shared_resource' | 'timeout_cascade';
timestamp: Date;
}
function analyzeFailurePropagation(
failedNodes: FailedNode[],
dag: DAG,
trace: ExecutionTrace
): FailurePropagation {
// Sort by failure time to find origin
const sortedByTime = [...failedNodes].sort(
(a, b) => a.timing.startTime.getTime() - b.timing.startTime.getTime()
);
const originNode = sortedByTime[0].nodeId;
const affectedNodes: NodeId[] = [];
const propagationPath: PropagationStep[] = [];
// Build dependency graph for analysis
const dependents = buildDependentsMap(dag);
// Trace propagation from origin
const visited = new Set<NodeId>();
const queue: Array<{ node: NodeId; from?: NodeId }> = [{ node: originNode }];
while (queue.length > 0) {
const current = queue.shift()!;
if (visited.has(current.node)) continue;
visited.add(current.node);
// Check if this node failed
const failedNode = failedNodes.find(f => f.nodeId === current.node);
if (failedNode && current.from) {
affectedNodes.push(current.node);
propagationPath.push({
fromNode: current.from,
toNode: current.node,
propagationType: determinePropagationType(current.from, current.node, dag),
timestamp: failedNode.timing.startTime,
});
}
// Add dependents to queue
const nodeDependent = dependents.get(current.node) ?? [];
for (const dependent of nodeDependent) {
queue.push({ node: dependent, from: current.node });
}
}
return {
originNode,
affectedNodes,
propagationPath,
cascadeDepth: calculateCascadeDepth(propagationPath),
containmentBoundary: findContainmentBoundary(dag, visited),
};
}
function buildDependentsMap(dag: DAG): Map<NodeId, NodeId[]> {
const dependents = new Map<NodeId, NodeId[]>();
for (const [nodeId, node] of dag.nodes) {
for (const dep of node.dependencies) {
const existing = dependents.get(dep) ?? [];
existing.push(nodeId);
dependents.set(dep, existing);
}
}
return dependents;
}
function determinePropagationType(
from: NodeId,
to: NodeId,
dag: DAG
): PropagationStep['propagationType'] {
const toNode = dag.nodes.get(to);
if (toNode?.dependencies.includes(from)) {
return 'direct_dependency';
}
return 'shared_resource';
}
Root Cause Analysis
interface Evidence {
type: 'error_message' | 'timing' | 'resource_usage' | 'pattern_match';
source: string;
observation: string;
weight: number; // How strongly this supports the conclusion
}
interface ContributingFactor {
factor: string;
contribution: number; // 0-1
evidence: Evidence[];
}
function identifyRootCause(
propagation: FailurePropagation,
failedNodes: FailedNode[],
trace: ExecutionTrace,
history?: FailureHistory
): RootCause {
const originFailure = failedNodes.find(
f => f.nodeId === propagation.originNode
)!;
const evidence: Evidence[] = [];
const contributingFactors: ContributingFactor[] = [];
// Evidence from error message
evidence.push({
type: 'error_message',
source: 'primary_error',
observation: originFailure.error.message,
weight: 0.9,
});
// Evidence from timing
if (originFailure.timing.duration && originFailure.timing.duration > 30000) {
evidence.push({
type: 'timing',
source: 'execution_duration',
observation: `Node ran for ${originFailure.timing.duration}ms before failing`,
weight: 0.6,
});
}
// Evidence from resource usage
const resourceUsage = extractResourceUsage(originFailure.context);
if (resourceUsage.tokensUsed > resourceUsage.tokenLimit * 0.9) {
evidence.push({
type: 'resource_usage',
source: 'token_usage',
observation: `Used ${resourceUsage.tokensUsed}/${resourceUsage.tokenLimit} tokens (${((resourceUsage.tokensUsed / resourceUsage.tokenLimit) * 100).toFixed(0)}%)`,
weight: 0.7,
});
}
// Check for pattern matches from history
if (history) {
const matchingPatterns = findMatchingPatterns(originFailure, history);
for (const pattern of matchingPatterns) {
evidence.push({
type: 'pattern_match',
source: 'failure_history',
observation: `Matches known pattern: ${pattern.name} (seen ${pattern.occurrences} times)`,
weight: 0.8,
});
}
}
// Analyze contributing factors
contributingFactors.push(...analyzeContributingFactors(
originFailure,
trace,
evidence
));
// Calculate confidence based on evidence
const confidence = calculateConfidence(evidence, contributingFactors);
return {
nodeId: propagation.originNode,
type: originFailure.error.type,
description: generateRootCauseDescription(originFailure, evidence),
confidence,
evidence,
contributingFactors,
};
}
function analyzeContributingFactors(
failure: FailedNode,
trace: ExecutionTrace,
evidence: Evidence[]
): ContributingFactor[] {
const factors: ContributingFactor[] = [];
// Check for high load (many concurrent nodes)
const concurrentNodes = countConcurrentNodes(trace, failure.timing.startTime);
if (concurrentNodes > 5) {
factors.push({
factor: 'High concurrent load',
contribution: Math.min(0.3, concurrentNodes * 0.05),
evidence: [{
type: 'timing',
source: 'concurrency_analysis',
observation: `${concurrentNodes} nodes executing concurrently`,
weight: 0.5,
}],
});
}
// Check for slow dependencies
const slowDeps = findSlowDependencies(trace, failure.nodeId);
if (slowDeps.length > 0) {
factors.push({
factor: 'Slow upstream dependencies',
contribution: 0.2,
evidence: slowDeps.map(dep => ({
type: 'timing' as const,
source: 'dependency_analysis',
observation: `Dependency ${dep.nodeId} took ${dep.duration}ms`,
weight: 0.4,
})),
});
}
return factors;
}
function calculateConfidence(
evidence: Evidence[],
factors: ContributingFactor[]
): number {
// Weighted average of evidence weights
const evidenceTotal = evidence.reduce((sum, e) => sum + e.weight, 0);
const evidenceAvg = evidenceTotal / Math.max(1, evidence.length);
// Reduce confidence if many contributing factors
const factorPenalty = Math.min(0.2, factors.length * 0.05);
// More evidence = more confidence
const evidenceBonus = Math.min(0.1, evidence.length * 0.02);
return Math.max(0.3, Math.min(0.95, evidenceAvg + evidenceBonus - factorPenalty));
}
Remediation Planning
interface RemediationPlan {
immediateActions: RemediationAction[];
preventiveActions: RemediationAction[];
retryStrategy?: RetryStrategy;
escalation?: EscalationPlan;
}
interface RemediationAction {
action: string;
priority: 'critical' | 'high' | 'medium' | 'low';
effort: 'trivial' | 'minor' | 'moderate' | 'major';
expectedImpact: string;
implementation?: string;
}
interface RetryStrategy {
recommended: boolean;
strategy: 'immediate' | 'backoff' | 'skip' | 'manual';
maxRetries: number;
backoffMs?: number;
conditions?: string[];
}
function generateRemediationPlan(
rootCause: RootCause,
classification: FailureClassification,
propagation: FailurePropagation
): RemediationPlan {
const plan: RemediationPlan = {
immediateActions: [],
preventiveActions: [],
};
// Generate actions based on failure type
switch (rootCause.type) {
case 'timeout':
plan.immediateActions.push({
action: 'Increase timeout for affected node',
priority: 'high',
effort: 'trivial',
expectedImpact: 'Allows operation to complete',
implementation: 'Update node config: timeoutMs: <current * 2>',
});
plan.preventiveActions.push({
action: 'Add progress monitoring to detect slow execution',
priority: 'medium',
effort: 'moderate',
expectedImpact: 'Early warning for timeout-prone operations',
});
plan.retryStrategy = {
recommended: true,
strategy: 'backoff',
maxRetries: 2,
backoffMs: 5000,
conditions: ['No permanent resource exhaustion'],
};
break;
case 'tool_error':
plan.immediateActions.push({
action: 'Check tool availability and permissions',
priority: 'critical',
effort: 'trivial',
expectedImpact: 'Confirms tool is accessible',
});
plan.immediateActions.push({
action: 'Verify tool input parameters',
priority: 'high',
effort: 'minor',
expectedImpact: 'Ensures valid inputs',
});
plan.retryStrategy = {
recommended: false,
strategy: 'manual',
maxRetries: 0,
conditions: ['Tool error must be fixed first'],
};
break;
case 'resource_exhaustion':
plan.immediateActions.push({
action: 'Reduce input size or complexity',
priority: 'high',
effort: 'moderate',
expectedImpact: 'Reduces resource requirements',
});
plan.preventiveActions.push({
action: 'Implement chunking for large inputs',
priority: 'high',
effort: 'major',
expectedImpact: 'Prevents future exhaustion',
});
plan.retryStrategy = {
recommended: false,
strategy: 'skip',
maxRetries: 0,
conditions: ['Must reduce resource usage first'],
};
break;
case 'validation_failure':
plan.immediateActions.push({
action: 'Review validation rules against actual output',
priority: 'high',
effort: 'minor',
expectedImpact: 'Identifies schema mismatch',
});
plan.retryStrategy = {
recommended: true,
strategy: 'immediate',
maxRetries: 2,
conditions: ['Add validation guidance to prompt'],
};
break;
case 'permission_denied':
plan.immediateActions.push({
action: 'Review and update permission matrix',
priority: 'critical',
effort: 'minor',
expectedImpact: 'Grants necessary permissions',
});
plan.retryStrategy = {
recommended: false,
strategy: 'manual',
maxRetries: 0,
conditions: ['Must fix permissions first'],
};
break;
case 'external_service':
plan.immediateActions.push({
action: 'Check external service status',
priority: 'high',
effort: 'trivial',
expectedImpact: 'Confirms if service is available',
});
plan.retryStrategy = {
recommended: true,
strategy: 'backoff',
maxRetries: 3,
backoffMs: 10000,
conditions: ['Service may recover'],
};
break;
default:
plan.immediateActions.push({
action: 'Manual investigation required',
priority: 'high',
effort: 'moderate',
expectedImpact: 'Understand failure cause',
});
}
// Add escalation if not recoverable
if (classification.recoverability === 'impossible') {
plan.escalation = {
required: true,
reason: 'Failure is not automatically recoverable',
suggestedOwner: 'human',
context: summarizeForEscalation(rootCause, propagation),
};
}
return plan;
}
Failure Report
failureAnalysis:
analysisId: "fa-7c3a2b1d-4e5f-6a7b-8c9d"
traceId: "tr-8f4a2b1c-3d5e-6f7a-8b9c"
dagId: "code-review-dag"
analyzedAt: "2024-01-15T10:35:00Z"
rootCause:
nodeId: check-security
type: external_service
description: "Security scanning service returned 503 (Service Unavailable)"
confidence: 0.87
evidence:
- type: error_message
source: primary_error
observation: "external service error: Security API returned 503"
weight: 0.9
- type: pattern_match
source: failure_history
observation: "Matches known pattern: API rate limit (seen 3 times)"
weight: 0.8
contributingFactors:
- factor: "High concurrent load"
contribution: 0.15
evidence:
- type: timing
source: concurrency_analysis
observation: "7 nodes executing concurrently"
propagation:
originNode: check-security
affectedNodes:
- aggregate-results
- generate-report
propagationPath:
- fromNode: check-security
toNode: aggregate-results
propagationType: direct_dependency
timestamp: "2024-01-15T10:34:45Z"
- fromNode: aggregate-results
toNode: generate-report
propagationType: direct_dependency
timestamp: "2024-01-15T10:34:46Z"
cascadeDepth: 2
containmentBoundary:
- generate-report
classification:
severity: high
impact:
nodesAffected: 3
tasksBlocked: 1
estimatedDelay: 60000
recoverability: automatic
frequency: intermittent
remediation:
immediateActions:
- action: "Check external service status"
priority: high
effort: trivial
expectedImpact: "Confirms if service is available"
preventiveActions:
- action: "Add circuit breaker for external service calls"
priority: medium
effort: moderate
expectedImpact: "Graceful degradation on service failures"
- action: "Implement caching for security scan results"
priority: low
effort: major
expectedImpact: "Reduces dependency on external service"
retryStrategy:
recommended: true
strategy: backoff
maxRetries: 3
backoffMs: 10000
conditions:
- "Service may recover"
- "No rate limit reached"
summary: |
The check-security node failed due to an external service (Security API)
returning 503. This is an intermittent issue that has occurred 3 times
previously. The failure cascaded to 2 downstream nodes. Recommended
action is to retry with exponential backoff.
Integration Points
- Input: Execution traces from
dag-execution-tracer - Correlation: Performance data from
dag-performance-profiler - Output: Failure patterns to
dag-pattern-learner - Recovery: Remediation plans to
dag-dynamic-replanner
Best Practices
- Trace from Origin: Always identify the first failure
- Gather Evidence: Multiple sources increase confidence
- Consider History: Check for recurring patterns
- Actionable Remediation: Make fixes specific and implementable
- Know When to Escalate: Some failures need human intervention
Understand failures. Find root causes. Enable recovery.
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.