Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Navigate enterprise software development with legacy integration, compliance requirements, stakeholder management, and architectural decisions at scale.
Navigate enterprise software development with legacy integration, compliance requirements, stakeholder management, and architectural decisions at scale.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Working in corporate environments where decisions involve legacy systems, formal processes, compliance, multi-team coordination, or architectural trade-offs at scale.
TopicFileLegacy patternslegacy.mdCompliance rulescompliance.mdArchitecture decisionsarchitecture.md
Assume existing systems until proven otherwise Integration cost > development cost in most decisions "Replace vs wrap" analysis before any architecture change Document all integration points touched
RoleCares AboutLanguageEngineeringTechnical debt, velocityPatterns, trade-offsProductFeatures, timelineUser impact, scopeSecurityRisk, complianceThreat models, controlsFinanceCost, ROITCO, licensingLegalLiability, dataContracts, GDPR Translate technical decisions into each stakeholder's language.
No breaking changes without migration path Feature flags before hard switches Rollback plan for every deployment Document blast radius of failures
PCI, SOC2, HIPAA, GDPR implications in every data decision Audit trail requirements โ logging design Data residency affects architecture Ask: "Who audits this? What do they need?"
Enterprise code without docs = technical debt. ADRs (Architecture Decision Records) for major choices Runbooks for operations API contracts before implementation Dependency graphs updated with changes
Principle of least privilege in all designs Secrets in vault, never in code or config files Network segmentation assumptions Zero trust between services
Logging, metrics, tracing from day one Correlation IDs across service boundaries SLI/SLO definitions before launch Alert fatigue is a system design failure
Assuming greenfield when there's always legacy โ scope explosion Optimizing for developer experience over ops burden โ 3am pages Skipping security review for "internal tools" โ breach vector Building before buying โ reinventing solved problems Over-abstracting early โ framework nobody understands Under-documenting decisions โ knowledge silos
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.