Agent Skills by Avichay Eyal
Showing 35 vetted skills indexed across 1 GitHub repositories.
quick-implement
Execute session-based implementation tasks with automated pre- and post-task hooks.
levelup-specify
Extract Context Directive Records from feature specification artifacts.
git-commit
Stage and commit repository changes after Spec Kit lifecycle events.
git-publish
Synchronize local git branches with remote repositories and create pull or merge requests.
spec-specify
Generate and validate technical feature specifications from natural language inputs.
change-levelup
Standardize team AI directives into a centralized repository with automated pull request generation.
git-worktree-cleanup
Remove Git worktree directories and associated feature branches.
git-workspace
Discover child git repositories and register them as submodules or ignored directories.
quick-levelup
Automate classification, validation, and pull request submission for team AI directives.
git-worktree-list
Lists git worktrees with provenance metadata and optional JSON output for dashboards or CLI tools.
levelup-init
Scan brownfield codebases to generate Context Directive Records.
git-feature
Create Git feature branches and isolated worktrees with sequential or timestamped numbering.
change-implement
Automate technical change implementation by processing task checklists and enforcing architectural constraints.
spec-analyze
Compare spec.md, plan.md, and tasks.md against the repository constitution.
speckit-taskstoissues
Convert local task lists into dependency-ordered GitHub issues.
change-verify
Verify code implementation against change specifications and architectural constraints.
git-setup-ignore
Configure .gitignore files to exclude Spec Kit cache and backup artifacts.
speckit-agent-context-update
Synchronize project plan paths into coding agent context files.
spec-verify
Automate software feature verification against technical specifications and architectural constraints.
levelup-validate
Scan team-ai-directives for rule conflicts and update verification timestamps.
spec-checklist
Validate technical specifications for ambiguity, missing edge cases, and measurable criteria.
spec-clarify
Identifies ambiguities in feature specs via structured taxonomy-based scanning and interactive questioning loops.
levelup-skill
Generate and register AI skill units from accepted Change Design Requests.
levelup-implement
Compile accepted Context Directive Records into verified documentation and draft PRs.