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vamseeachanta AI Skills

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Browse published AI skills maintained by vamseeachanta. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

274

Repository stars across indexed skills

914

Repository forks

139

Average repository stars per indexed skill

3

Repository stars may repeat across skills from the same repository.

274 skills

Browse skills

GitHub

brainstorming

vamseeachanta

Collaborative design refinement through iterative questioning. Use for transforming ideas into detailed specifications before implementation. Based on obra/superpowers.

GitHub

competitive-analysis

vamseeachanta

Competitive intelligence with positioning analysis, battlecards, and market monitoring. Use for competitor tracking, differentiation strategy, and win/loss analysis. Based on alirezarezvani/claude-skills.

GitHub

tdd-obra

vamseeachanta

Test-Driven Development methodology enforcing RED-GREEN-REFACTOR cycle. Use for writing tests first, preventing regression, and ensuring code correctness. Based on obra/superpowers.

GitHub

pytest-fixture-generator

vamseeachanta

Generate standardized pytest configuration with fixtures, markers, and coverage settings. Creates conftest.py and pytest.ini for workspace-hub compliant testing.

GitHub

claude-reflect

vamseeachanta

Periodic cross-repo reflection analyzing 30 days of git history, extracting patterns via RAGS loop, and auto-creating skills

GitHub

memory-systems

vamseeachanta

Design agent memory architectures for cross-session persistence. Use for building learning systems, maintaining entity consistency, and temporal knowledge tracking. Based on muratcankoylan/Agent-Skills-for-Cont...

GitHub

claude-reflection

vamseeachanta

Self-improvement and learning skill that helps Claude learn from user interactions, corrections, and preferences

GitHub

fatigue-analysis

vamseeachanta

Fatigue analysis for offshore structures including S-N curves, rainflow counting, Miner's rule, and DNV standards

GitHub

subagent-driven

vamseeachanta

Execute implementation plans with structured subagent dispatch and two-stage review (spec compliance, then code quality). Based on obra/superpowers.

GitHub

core-tester

vamseeachanta

Comprehensive testing and quality assurance specialist for ensuring code quality through testing strategies

GitHub

optimization-benchmark

vamseeachanta

Comprehensive performance benchmarking, regression detection, automated testing, and performance validation. Use for CI/CD quality gates, baseline comparisons, and systematic performance testing.

GitHub

pytest-fixture-generator

vamseeachanta

Generate standardized pytest configuration with fixtures, markers, and coverage settings. Creates conftest.py and pytest.ini for workspace-hub compliant testing.

GitHub

verification-loop

vamseeachanta

Six-phase quality gate for code changes. Runs build, typecheck, lint, test, security, and diff-review in sequence. Supports JavaScript/TypeScript, Python, and Rust with auto-detection and skip conditions.

GitHub

cloud-workflow

vamseeachanta

Event-driven workflow automation in Flow Nexus cloud. Use for creating, executing, and managing complex automated workflows with message queue processing and intelligent agent coordination.

GitHub

cloud-sandbox

vamseeachanta

E2B sandbox deployment and management in Flow Nexus cloud. Use for creating isolated execution environments, running code safely, and managing development workflows.

GitHub

repo-sync

vamseeachanta

Manage and synchronize multiple Git repositories across workspace-hub. Use for bulk git operations, repository status checks, branch management, and coordinated commits across 26+ repositories.

GitHub

cloud-swarm

vamseeachanta

AI swarm orchestration and management in Flow Nexus cloud. Use for deploying, coordinating, and scaling multi-agent swarms for complex task execution.

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.