content-analyzer

Universal AI harness engineering: 6-layer architecture with SDD pipeline, ambiguity-gated shaping, 6-dimension review, lifecycle (GC/evolve/diet/audit), doctor health-check, enforcement hooks, context routing, and doc generation

Build and incrementally update a developer portfolio from git commit history. Default: current repo + ~/.claude/portfolio/{user}.md. Modes: single repo, multi-repo, GitHub-wide scan

Study pipeline: parse topics from temp.md, refine direction via brainstorming, execute structured deep-learning with codebase exploration and interview prep

Launch kit for new desktop apps — scaffold README/LICENSE/Distribution + GitHub SEO metadata + release pipeline + GitHub Pages banner + discoverability checklist. Validated on macOS menu bar apps (muxbar, aieye).

Idea-to-implementation pipeline: raw ideas → structured PRDs → brainstorming refinement → service scaffolding

Loop-engineering runner: work through a Jira parent ticket's sub-tasks one at a time, each in a fresh sub-agent, producing a draft PR per sub-task with a human go/no-go gate between tasks. Repo-derived commit identity, safety-gated.

API debugging agent with full IO capture, log analysis, and codebase exploration

Claude Code plugin collection: AI harness engineering (SDD pipeline), API debugger, content analyzer, submodule manager.

Dynamic skill quality evaluator — fork target skills, enforce JSON output via --json-schema, run N-repeat against ground-truth snapshots with semantic-judge + calibration, surface regressions vs baseline + auto-propose SKILL.md edits

Control per-directory public/private visibility via git submodules