constraint

Git-native preparation & convergence skill — four routines: init/prepare/converge/prune. prepare is local-first: work stays on local prepare/* by default; remote push is a cross-machine opt-in (push-prepare-branches: yes); prepare freshness-rebases in-progress branches onto default (schema 8; opt-out rebase-prepare-onto-default), and converge offers the refresh. Human takeover is recognized by containment; the redundant prepare/<slug> is surfaced for cleanup, never auto-deleted. converge accept defaults to a handoff-only rename (prepare/<slug> → accepted-prefix/<slug>), with a human-marked maintenance exception; prune is a human-present, read-only-until-approved sweep of unused local + remote branches. Committed .tsugu/ is a three-part layer (policy.md + context.md + evidence/) with no infrastructure file; evidence/ is per-ref and emptied at landing, and no merge driver auto-resolves .tsugu/ any more, so the agent resolves such a conflict and declines one it cannot reconcile; accepted-prefixes default feature/* bugfix/* chore/*; state derived from refs, no intake layer; never auto-merges; invokes no user-installed skill by default; 015 adds a standing POST-HANDOFF cleanup block in context.md + an agent-md routing pointer; 017 adds a ## Blindspots section (prepare surfaces unknown unknowns, material + grounded) + a converge verify-findings reminder (no schema bump)

1 skill · 4 commands

Assisted review loop — local reviewers answer blind and in parallel, each returns its own convergence verdict (loop-until-dry, facilitator owns K); a behaviour claim about a runtime prompt is settled by five independent simulation runs, not by a string comparison; a settled finding keeps the command that settled it, and the loop re-runs every kept command at the start of each round and before each commit; a finding no command settled keeps nothing; roster enrolled per host via /review-loop:init (routine or on-request reviewers, a private-content rule for each); the author-stop shape is published at A0 and then held (author pass, one batched message per round that has a T2/T3 finding, the hand-off, plus named exceptions that re-publish it), and a T3 that comes back after a fix is read as a drift signal: that round's message re-confirms the direction of the whole change with the author, as well as asking for the item's own fix; never merges autonomously

1 skill · 2 commands

FP-thinking review and refactor rules for pre-RSC React projects

1 skill · 1 command

Describe multi-step agent workflows using an Arrow-style DSL (>>>, ***, &&&, |||, ?, loop, \, let...in, (), ;) with epistemic operator conventions and structural validation

1 skill

Explore an unfamiliar codebase together with the user, one step at a time, through its data flow and its types

1 skill

Socratic dialogue for reflecting on human-AI stewardship

1 skill

Collection of example skills demonstrating various capabilities including skill creation, MCP building, visual design, algorithmic art, internal communications, web testing, artifact building, Slack GIFs, and theme styling

19 skills

Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification

1 command · 6 agents

Build, preview, and test UI components with Storybook.

7 skills

Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data

9 skills · 9 commands · 11 agents · 1 MCP server

Automates browser interactions for web testing, form filling, screenshots, and data extraction

12 skills

Install the "AAS QA & Test Automation" editorial skill bundle for Claude Code.

14 skills