release-manager
Automates release management with changelog generation, semantic versioning, and release readiness checks. Use when preparing releases, generating changelogs, bumping versions, or validating release candidates.
Browse published AI skills maintained by borghei. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
51Repository stars across indexed skills
159Repository forks
75Average repository stars per indexed skill
3Repository stars may repeat across skills from the same repository.
Automates release management with changelog generation, semantic versioning, and release readiness checks. Use when preparing releases, generating changelogs, bumping versions, or validating release candidates.
Generate changelogs and release notes from Conventional Commits. Covers commit parsing, semantic version bump detection, Keep a Changelog formatting, monorepo scoped changelogs, CI integration, and commit messa...
Two-layer memory architecture for tracking executive decisions. Layer 1 stores raw deliberation transcripts, Layer 2 stores founder-approved decisions only. Future sessions read Layer 2 to prevent hallucinated...
Patterns for building AI agents that learn from their own execution, detect failure modes, and improve autonomously. Covers feedback loops, performance regression detection, memory curation, skill extraction, a...
Expert customer success covering onboarding, adoption, retention, expansion, health scoring, and customer advocacy.
Expert product strategy covering market analysis, competitive positioning, go-to-market planning, and product-led growth.
Expert ML engineering covering model development, MLOps, feature engineering, model deployment, and production ML systems.
Expert product management covering strategy, roadmapping, user research, prioritization frameworks, and stakeholder management.
Expert brand strategy covering brand positioning, identity development, brand architecture, messaging frameworks, and brand governance.
Expert DevOps engineering covering CI/CD pipelines, infrastructure as code, container orchestration, cloud platforms, and site reliability.
Expert demand generation covering lead generation, campaign management, funnel optimization, marketing automation, and pipeline contribution.
Expert quality assurance covering test strategy, automation, performance testing, and quality engineering.
Expert cloud architecture covering AWS, GCP, Azure, multi-cloud strategy, cost optimization, and cloud-native design.
Expert agile coaching covering team transformation, agile frameworks, coaching techniques, organizational change, and continuous improvement.
Expert talent acquisition covering recruiting strategy, candidate sourcing, interview design, employer branding, and hiring analytics.
Expert prompt engineering for LLM applications including prompt design, optimization, RAG systems, agent architectures, and AI product development.
Expert UX research covering user research methods, usability testing, data synthesis, and research operations.
Expert analytics engineering covering data modeling, dbt development, data transformation, and semantic layer management.
Expert security engineering covering application security, infrastructure security, threat modeling, penetration testing, and compliance.
Expert data science covering machine learning, statistical modeling, experimentation, predictive analytics, and advanced analytics.
Expert SEO covering technical SEO, content optimization, link building, keyword research, and search analytics.
Expert MLOps engineering covering model deployment, ML pipelines, model monitoring, feature stores, and infrastructure automation.
Expert product design covering UI/UX design, design systems, prototyping, user research, and design thinking.
Expert frontend development with React, Vue, and modern frameworks including component architecture, state management, performance optimization, and accessibility.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.