meta-pre-commit-quality-gate
meta-pre-commit-quality-gate runs ruff, mypy, and pytest in parallel against staged code changes, then produces a single BLOCK or APPROVE verdict. Use this before committing locally to enforce the same three-gate quality standard that the CI pipeline checks, avoiding failed builds downstream.
git clone --depth 1 https://github.com/opensquilla/opensquilla /tmp/meta-pre-commit-quality-gate && cp -r /tmp/meta-pre-commit-quality-gate/src/opensquilla/skills/exp/meta-pre-commit-quality-gate ~/.claude/skills/meta-pre-commit-quality-gateSKILL.md
# Pre-Commit Quality Gate (Meta-Skill) A **combinator-style** meta-skill that runs three independent quality gates in parallel over the currently-staged diff, then arbitrates a single ship-readiness verdict. ## Trigger surface Fire by saying `pre-commit quality gate` or one of the localized triggers listed in the frontmatter. The skill is also designed to be invoked from a git pre-commit hook via the soft path (`meta_invoke`), but hook installation is a separate manual step. ## Fallback If the orchestrator fails (sub-Agent error, timeout, etc.), the caller should manually run, in order: `uv run ruff check src tests`, `uv run mypy src/opensquilla --show-error-codes`, then `uv run pytest -q`. The same three commands are the CI quality gate in `.github/workflows/ci.yml`.
Submit audio or video for multilingual dubbing, poll status, and download dubbed audio. Use when the user asks for dubbing, 多语言配音, 视频翻译配音, 译制片, or wants a source clip dubbed into another language.
Generate a structured short-video shooting script from a topic. Emits a strict, machine-parseable shot list (3 shots by default) with image prompt + video prompt + voiceover + on-screen text per shot. Trigger when the user asks for a video script, 分镜, 短视频文案, AI视频, 短剧脚本, or wants visual prompts ready for image/video generation.
Use when the user asks to schedule recurring tasks, one-off reminders, timers, or cron-style jobs through the OpenSquilla cron tool.
Multi-round research with explicit methodology, evidence tracking, and citation-tagged synthesis. Trigger on 'deep dive', 'research report', 'literature review', 'investigate X across sources', 'multi-round investigation'. Distinct from the `summarize` skill, which is a single-pass condensation; this skill maintains a state file across iterations, tracks coverage, and produces a long-form report with per-claim citations. Three execution stages: plan (scope into sub-questions), iterate (record evidence per round), compile (synthesize report). The skill itself does not fetch the web — it tells the host agent which fetches to perform via OpenSquilla's existing web tools, and records what comes back.
Read, edit, or create Microsoft Word `.docx` files. Trigger this skill whenever the user mentions a Word document, .docx file, contract, report, brief, memo, or asks to extract text, modify an existing doc, generate one from a brief, or audit tracked changes. Three execution paths: text-and-structure extraction, in-place edit-by-run (preserves styles), and create-from-scratch with python-docx. Falls back to OOXML unzip-and-patch for layout work python-docx cannot reach.
Capture the current git diff (staged, working-tree, or staged file list) as text. Direct shell call for workflows that need repository diffs without an LLM agent loop.
GitHub operations via `gh` CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available), bulk operations across many repos (script with gh api), or when gh auth is not configured.
Query the per-turn DecisionEntry log for skill co-occurrence patterns, meta-skill usage stats, and the router fixture corpus. Returns a JSON summary suitable for downstream LLM consumption. Used by meta-skill-creator's harvest step but also useful standalone for 'which skills did I use most this week?'