Agent Skills by Selcuk Yucel
Showing 31 vetted skills indexed across 2 GitHub repositories.
report-weekly
Analyze weekly Git history and generate Markdown and HTML reports.
genai-bootstrap
Generate Claude Code and VS Code Copilot configurations by inspecting an existing project.
generate-commit
Generate commit messages from staged git changes using detected conventions.
cost-estimate
Estimate token usage and monthly costs for proposed AI automations.
discover
Guide clients through structured questions to generate a draft PRD.
incident-playbook
Generate incident playbooks covering nine failure categories for production AI systems.
ai-invert
Analyze AI project requirements for risks across prompts, models, and data flows.
baseline
Capture reproducible AI performance baselines for components before changes.
prompt-version
Capture prompt snapshots, generate diffs, and record eval data.
assess
Classify raw project requirements into defined project types with architecture-ready assessments.
autoimprove
Optimize skill and agent prompts through an automated evaluation loop.
ai-test
Generate executable pytest tests for AI components with deterministic outputs.
genai-invert
Analyze requirements to enumerate risks, edge cases, and assumptions.
guardrail-spec
Generate implementation-ready guardrail specifications for AI automation.
analyze-code
Analyze code modules for refactoring opportunities, code smells, and architectural violations.
handoff-doc
Generate client-facing handoff documentation from codebase, plans, and playbooks.
deploy-checklist
Compile a deployment readiness evaluation with GO/NO-GO summary.
genai-sync
Sync managed sections in CLAUDE.md and AGENTS.md after GenAI plugin updates.
orchestrate
Coordinates AI story execution through stages from TRIAGE to DELIVER.
prompt-test
Run a prompt against test inputs and score outputs with a binary rubric.
decompose
Decompose PRDs into prioritized epics and user stories with dependency mapping.
generate-pr
Generate a complete PR description from branch diffs and commits.
eval-suite
Generate structured evaluation datasets with binary rubric scoring for AI outputs.
invert
Analyze requirements to identify risks and failure modes before implementation.