meta-multi-format-export-pack
The meta-multi-format-export-pack skill converts a single source document into four distinct outputs: a detailed Word report, a PowerPoint presentation, an Excel spreadsheet, and a PDF version suitable for public distribution. Use this skill when you need to repurpose one piece of content for multiple audiences or delivery channels, such as preparing internal analysis alongside client-ready materials or creating comprehensive documentation packages from unified source material.
git clone --depth 1 https://github.com/opensquilla/opensquilla /tmp/meta-multi-format-export-pack && cp -r /tmp/meta-multi-format-export-pack/src/opensquilla/skills/exp/meta-multi-format-export-pack ~/.claude/skills/meta-multi-format-export-packSKILL.md
# Multi-Format Export Pack (Meta-Skill) Renders one source content into four deliverables for different audiences: - `.docx` — detailed report - `.pptx` — slide deck - `.xlsx` — data breakdown - `.pdf` — public-facing print version MVP runs the four renders **sequentially** (after the shared `model` step); true parallel fan-out is future work (M7 in the proposal). ## Fallback LLM should manually summarize first, then call docx / pptx / xlsx / html-to-pdf in order.
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?'