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Incident Summary — Multi-Cloud Enterprise Automation with Advanced AI · lloydchang | DecimalAI

devopsby lloydchang

Incident Summary — Multi-Cloud Enterprise Automation with Advanced AI

lloydchang/summarize-incidents

Source lloydchang/agentic-reconciliation-engine ↗License AGPL-3.0

Generates incident summaries and post-mortem reports with advanced AI capabilities including NLP summarization, ML-based root cause analysis, and predictive incident insights.

SkillScore86Maintained

Automatic

DevOps & SRE pack

Last verified 8/4/2026

What it changes

Passed 17 of 20 test cases with the skill, and 3 of 20 without it.

Without skill14%

With skill86%

Checks it passed that the model alone missed

Sets the default dryRun parameter to true
Identifies Input Validation as the second step
Sets the default cloudProvider parameter to all

and 16 more in the full report

16 fixed3 passed either way3 still failing0 broke

Pass-rate lift: +73 pp
Tokens: +28%
Agent turns: 0%
Response time: -33%

Model gemini-3.6-flashMeasured 8/4/2026v119 of 22 cases passed with skill · 20 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/lloydchang-summarize-incidents/SKILL.md https://app.decimal.ai/s/lloydchang-summarize-incidents/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add lloydchang-summarize-incidents, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/lloydchang-summarize-incidents/ and pins it in .decimal/skills.lock

decimalai skills add lloydchang-summarize-incidents

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/lloydchang-summarize-incidents/SKILL.md https://app.decimal.ai/s/lloydchang-summarize-incidents/SKILL.md

Raw file: /s/lloydchang-summarize-incidents/SKILL.md ↗ · machine-readable summary at /s/lloydchang-summarize-incidents.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 15

Prompt

What are the initial two procedural steps executed when launching the incident summarization pipeline on `k8s-ingress-controller`?

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies Cloud Provider Detection as the first step	Missed	Passed
Identifies Input Validation as the second step	Missed	Passed

case-14 · gemini-3.6-flash · 8/4/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md91 lines4 filesincludes scripts

Incident Summary — Multi-Cloud Enterprise Automation with Advanced AI

Purpose

Enterprise-grade automation solution for incident summary operations across AWS, Azure, GCP, and on-premise environments with advanced AI capabilities including NLP-powered summarization, machine learning root cause analysis, and predictive incident insights to maximize operational efficiency while maintaining security and compliance standards.

When to Use

incident summary operations across multi-cloud environments
Advanced AI analysis including NLP summarization and ML root cause detection
Automation and optimization of incident summary workflows
Monitoring and management of incident summary resources
Compliance and governance for incident summary activities
Predictive incident prevention using historical pattern analysis

Inputs

operation: Operation type (required)
targetResource: Target resource identifier (required)
cloudProvider: Cloud provider - aws|azure|gcp|onprem|all (optional, default: all)
parameters: Operation-specific parameters including AI model configurations (optional)
environment: Target environment (optional, default: production)
dryRun: Dry run mode (optional, default: true)
historicalData: Include historical incident data for pattern analysis (optional, default: false)

Process

Cloud Provider Detection: Identify target cloud providers and environments
Input Validation: Comprehensive parameter validation and security checks
Multi-Cloud Context Analysis: Analyze current state across all providers
AI-Powered Analysis: Apply NLP summarization, ML clustering for root causes, and predictive modeling
Operation Planning: Generate optimized execution plan with AI insights
Safety Assessment: Risk analysis and impact evaluation across providers
Execution: Perform operations with monitoring and validation
Results Analysis: Process results and generate AI-enhanced reports

Outputs

Operation Results: Detailed execution results and status per provider
AI-Enhanced Summaries: NLP-generated incident summaries and post-mortems
ML Root Cause Analysis: Clustered and prioritized potential causes
Predictive Insights: Recommendations for incident prevention
Compliance Reports: Validation and compliance status across environments
Performance Metrics: Operation performance and efficiency metrics by provider
Recommendations: Optimization suggestions and next steps

Track record

Benchmark

17 / 20

test cases passed, vs 3 / 20 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

lloydchang / agentic-reconciliation-engine

core/ai/skills/summarize-incidents/SKILL.md

View on GitHub ↗

License AGPLv3Imported 8/1/2026Version v1Bundled 3 files · scripts

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See it in action

What's inside

Incident Summary — Multi-Cloud Enterprise Automation with Advanced AI

Purpose

When to Use

Inputs

Process

Outputs

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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