indexino

Babysit a GitHub pull request after creation by continuously polling CI checks/workflow runs, new review comments, and mergeability state until the PR is ready to merge (or merged/closed). Diagnose failures, retry likely flaky failures up to 3 times, auto-fix and push branch-related issues when appropriate, and stop only when user help is required (e.g. CI infrastructure issues, exhausted flaky retries, or ambiguous/blocking review feedback). Use when the user asks to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open PR.

Use when auditing Compose/Jewel UI for SelectionContainer context: interactive composables inside a SelectionContainer without DisableSelection, nested selection containers, or missing exclusion wrappers. Uses indexino (selection-context application) for precomputed facts from a persistent `.indexino/` index — not manual file reading. Bazel monorepos primary; Gradle secondary.

Use when the user asks to audit, assess, review, or find systemic issues in Compose Desktop or Jewel UI architecture: state/effect usage, recomposition behavior, lazy-list keys, composable API hygiene, modifier conventions, and desktop interop seams. For SelectionContainer / DisableSelection context, run compose-selection-audit first. Produces an evidence-first report with severity-ranked findings and top fixes. Desktop/Jewel focus — not Android lifecycle, Navigation, Material mobile patterns, or baseline profiles.

Handle git and GitHub workflows end-to-end: summarize diffs into high-quality commit messages, create commits non-interactively, push branches, prepare PR titles/descriptions, and operate GitHub via gh CLI with file-based inputs to avoid shell escaping bugs. Use whenever a task includes commit, push, PR creation/updates, review replies, merge prep, or gh automation.

Create, revise, evaluate, package, and optimize agent skills. Use when users want to turn a workflow into reusable skill guidance, improve an existing skill, add evals or bundled resources, test skill behavior with subagents, benchmark skill quality, or tune a skill trigger description.

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification