Agent Skills by eroslifestyle
Showing 28 vetted skills indexed across 1 GitHub repositories.
prompt-engineering-patterns
Optimize vague user requests into structured prompts for LLM execution.
orchestrator
Orchestrates specialized AI agents to automate complex multi-step workflows.
metrics
Aggregate task, parallelism, agent usage, token, error, duration, and learning metrics into a session dashboard.
build-fix
Diagnose and fix build errors iteratively across TypeScript, JavaScript, Python, Rust, and Go.
remotion-best-practices
Provide Remotion best practices for React video creation and animation.
learn
Capture reusable learning patterns from AI sessions with confidence scoring.
checkpoint
Save and restore named checkpoints of session progress, including tasks, decisions, and file modifications.
plan
Decompose feature requests into implementation plans with dependencies and risk assessments.
git-workflow
Automate Git branch lifecycle, semantic commits, and pull request workflows.
go-patterns
Guide Go programming with best practices, idioms, and design patterns.
code-review
Analyze code files for quality metrics, anti-patterns, and security vulnerabilities.
debugging
Analyze stack traces and execution paths to identify root causes.
multi-plan
Decompose complex tasks into parallel subtasks with dependencies and agent assignments.
refactor-clean
Identify and clean dead code, unused imports, and code quality issues.
status
Display an orchestrator system status dashboard with agent, skill, and memory counts.
api-design
Design REST, GraphQL, and OpenAPI specifications with versioning and testing.
evolve
Aggregate high-confidence instincts from JSON into reusable skill files.
cleanup
Delete temporary files, NUL files, and orphan backups from a project directory.
security-scan
Audit codebases for common security vulnerabilities and generate prioritized reports.
fix
Analyze error messages, modify code, and run tests to resolve software bugs.
testing-strategy
Guide software testing strategies across unit, integration, E2E, and performance tests.
verification-loop
Automate code change verification against user requests and acceptance criteria.
tdd-workflow
Guide Test-Driven Development with a strict RED-GREEN-REFACTOR cycle and automated test execution.
python-performance-optimization
Profile Python code with cProfile, memory_profiler, and line_profiler to identify bottlenecks.