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vamseeachanta AI Skills

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浏览 vamseeachanta 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

274

收录技能的仓库 Stars 合计

914

仓库 Forks

139

平均每个技能的仓库 Stars

3

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

274 个技能

全部技能

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.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。