By caasi
Manage git branches with a local-first preparation workflow: create, rebase, converge, and prune branches while keeping work on local prepare/* branches until ready for remote push or human-accepted handoff.
Set up or migrate the repo's .tsugu/ workspace + policy.md — asks the minimum; idempotent; re-running migrates older schemas (1→2→3→4→5→6→7) (tsugu-schema)
Human-present convergence — morning status view (read-only until you decide), then decide dispositions in-session. Accept is handoff-only (renames prepare/<slug> to an accepted prefix and stops); completes only on a human-marked maintenance task. Never auto-merges; cleanup is pointed at /tsugu:prune
Human-absent preparation — local-first by default: fetch, derive the queue from local + remote refs, work privately on the configured work-prefix branches (default prepare/*), keep work local; remote push is the cross-machine opt-in. External silence
Human-present, read-only-until-approved sweep of unused local + remote branches — deletes settled/leftover-worktree on confirm; surfaces dropped/possibly-landed/orphaned-accepted/taken-over (redundant prepare) to confirm; never touches unfinished work. Never deletes without explicit per-item approval
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub caasi/dong3 --plugin tsuguAssisted review loop — local reviewers answer blind and in parallel, each returns its own convergence verdict (loop-until-dry, facilitator owns K + escalation); roster enrolled per host via /review-loop:init; never merges autonomously; ships an always-on UserPromptSubmit hook that writes nothing until you opt in via /review-loop:init
Platform-specific fetch strategies for content that resists simple WebFetch
Delegate tasks to external chat endpoints (OpenAI-compatible and LM Studio native API) as a subagent
Describe multi-step agent workflows using an Arrow-style DSL (>>>, ***, &&&, |||, ?, loop, \, let...in, (), ;) with epistemic operator conventions and structural validation
Socratic dialogue for reflecting on human-AI stewardship
Ultra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Unified capability management center for Skills, Agents, and Commands.