GitHub
llm-security-red-teaming
Comprehensive guide to securing LLM applications including prompt injection prevention, jailbreak detection, guardrails, and red teaming methodologies
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Databases AI Skills
Discover Databases skills, compare source repositories and read the instructions for each workflow.
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GitHub
user-interviews
Comprehensive guide to conducting effective user interviews for problem discovery, solution validation, and continuous learning
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GitHub
tool-permission-model
Comprehensive guide to implementing permission systems for AI agent tools including RBAC, approval workflows, and security policies
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GitHub
repository-automation-scripts
Automated scripts for common repository tasks including setup, cleanup, dependency updates, and maintenance.
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GitHub
llm-function-calling
Implementing function calling (tool use) with LLMs for structured outputs and external integrations.
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GitHub
backfill-and-reconciliation-playbook
Playbook สำหรับ backfill historical data และ reconcile inconsistencies ระหว่าง data sources
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GitHub
cost-observability-and-monitoring
Techniques for gaining visibility into cloud spending, attributing costs to business units, and detecting financial anomalies.
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GitHub
model-serving-inference
Comprehensive guide to deploying and serving LLM models including optimization, batching, caching, and production infrastructure
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GitHub
access-audit-and-reviews
Comprehensive guide to access audits, periodic reviews, anomaly detection, and segregation of duties for compliance and security.
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GitHub
retention-and-archival
Policy และ automation สำหรับ data retention, archival และ deletion ตาม compliance requirements
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GitHub
prompting-patterns
Comprehensive guide to effective prompt engineering patterns including few-shot, chain-of-thought, ReAct, and advanced prompting techniques
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GitHub
pii-detection
Comprehensive guide to detecting Personally Identifiable Information (PII) across systems, databases, and logs using regex patterns, NER models, and automated scanning tools.
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GitHub
retrieval-playbook-for-ai
กลยุทธ์การ retrieve context ให้ AI อย่างมีประสิทธิภาพ - เลือกอะไร ไม่เลือกอะไร และจัดลำดับอย่างไร
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GitHub
api-versioning-strategies
Comprehensive guide to API versioning approaches for maintaining backward compatibility.
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GitHub
config-distribution
Patterns for distributing configuration and secrets to services safely and consistently across environments (env vars, config files, secret managers, K8s External Secrets, and change process)
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GitHub
severity-levels
Comprehensive guide to incident severity classification and response requirements
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GitHub
model-explainability-and-interpretability
Techniques and tools for understanding how machine learning models make decisions and explaining those decisions to stakeholders.
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GitHub
skill-architect
The master skill for analyzing, designing, and standardizing the creation of new AI skills (Skill 72).
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GitHub
api-style-guide
Organization-wide REST/GraphQL API conventions: URL and naming rules, versioning, pagination/filtering, status codes, authentication headers, and compatibility guidance
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GitHub
security-scan-policy
Policy สำหรับ automated security scanning ใน CI/CD pipeline รวม dependency audit, SAST, และ secret detection
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GitHub
triage-workflow
See the main Incident Triage skill for comprehensive triage workflows and procedures.
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GitHub
contract-testing
Comprehensive guide to consumer-driven contract testing with Pact, bi-directional contracts, and integration with CI/CD pipelines
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GitHub
offline-vs-online-evaluation
Comprehensive guide to offline and online evaluation strategies including A/B testing, shadow mode, canary deployments, and bridging offline-online metrics
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GitHub
local-development-standard
Standardized local development environment setup ensuring consistency across team members and reducing "works on my machine" issues.
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