opensquilla

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?'

Render HTML (with CSS) to a PDF file. Trigger when the user wants to export a styled report, invoice, label, or any HTML/Jinja-rendered page to PDF. Uses WeasyPrint, which supports a meaningful subset of CSS Paged Media (page size, margins, headers/footers, page-break-before/after). Optional dependency — install via `pip install opensquilla[document-extras]` or `uv add weasyprint` because WeasyPrint pulls in native libraries (Pango, Cairo, fontconfig) that need OS-level packages.

Fetch a URL via HTTP/HTTPS and return the response body as text. Lightweight entrypoint replacement for `sub-agent` steps whose only job is a single GET/POST. Supports GET (default), POST/PUT/DELETE with a stdin-piped body, configurable timeout, and a max-bytes cap — no LLM agent loop, no custom-header injection (request goes out with urllib defaults). Use for simple data-fetch steps in meta-skill DAGs; for crawling, JS-rendered pages, or complex auth chains use sub-agent + scrapling instead.

Compile a LaTeX project (xelatex × bibtex × xelatex × xelatex) and report the log tail. Demo-only.

Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory/**/*.md.

Use this meta-skill instead of answering directly when the current user asks for competitive-intel monitoring over named competitors, market rivals, account sets, prospects, or partners with a time window, comparative baseline, or sales/BD/strategy follow-up. It is for current competitive movement briefs: pricing/product changes, go-to-market signals, partnership moves, account signals, baseline diff, and recommended follow-ups. Do not use it for generic daily plans, generic research reports, product comparison without named target companies, or pasted old competitive-intel examples.

Use this meta-skill instead of answering directly when the current user asks for a practical today/tomorrow operating brief, morning plan, daily priority list, or day schedule that combines pasted calendar/task context, weather, memory, open loops, or optional reminders. Do not use it for account monitoring, family-only logistics, generic productivity advice, setting one reminder, moving one meeting, or isolated scheduling requests that a single tool can handle.

Use this meta-skill instead of answering directly when the current user provides or references a document, contract, quote, spreadsheet, notice, or paperwork and asks for a decision-ready analysis: sign/reject/negotiate, renewal risk, evidence table, questions to ask, or concrete next action. It may inspect PDF/DOCX/XLSX/pasted excerpts. Do not use it for generic summarization, generic report writing, standalone sales emails, generic contract-term explanations, or document text that is merely quoted as historical context.

Use this meta-skill instead of answering directly when the current user is doing a concrete job-search workflow: tailoring a resume to a pasted JD, building an application pack, preparing for a named interview, comparing roles, or digesting an application tracker. It produces reviewable text/artifacts and never auto-applies. Do not use it for generic career advice, generic resume comments without a target role/JD, or pasted historical job-search examples.

Use this meta-skill instead of answering directly when a child or their guardian wants to plan a school project, science fair entry, hobby kit, or kid-sized creative venture (volcano model, bug-watching YouTube channel, magnet maze, model rocket). The skill assesses feasibility against the child's age band, builds an age-appropriate step plan, lists materials with budget substitutes, surfaces safety considerations, and produces a parent-facing learning-objective summary so the guardian can supervise meaningfully. Do not use it for adult craft projects, generic art prompts, generic school-project explanations, or unsafe projects. Refuses inappropriate or unsafe projects.

Use this meta-skill instead of answering directly when the current user asks to draft, repair, compile, or produce an academic/research paper or LaTeX manuscript. It uses multi-skill orchestration for manuscript workflows that need source search, citation planning, experiment or figure/table placeholders, drafting, length checks, citation integrity, and LaTeX/PDF compilation. Ordinary paper requests use a compact draft path; explicit full/PDF/long-form research-paper requests use the full manuscript path. Do not use it for web research reports, blog posts, paper summaries, literature-search-only requests, slide decks, document decisions, or generic plotting.

Use this meta-skill instead of answering directly when the current user asks to generate an AI short-drama, shot-list-to-video workflow, or final MP4/成片 from a topic. The workflow infers render style, character identity, and shot count (1-10, default 5) from the request (filling in conservative defaults when missing), drafts a strict shot-by-shot shooting script, pauses for one free-form review (the user can approve, adjust render style / character / shot count / shot details, or cancel in plain language), optionally re-drafts the script with the user's adjustments, generates one universal full-cast identity-reference image plus per-shot composition images, then per-shot video clips (each video anchored to BOTH the universal reference image and its own composition image so the character identity AND scene layout stay consistent), bookends them with a title card and an ending card, burns subtitles in the user's language, and saves the script alongside the final MP4. Do not use it for slide decks, document-decision analysis, single-image generation, isolated script writing, storyboard-only requests, video ideas without generation, or pasted historical short-drama examples.

Use this meta-skill instead of answering directly only when the current user explicitly asks to create, compose, synthesize, or propose a new meta-skill that orchestrates multiple existing skills. It uses multi-skill orchestration for intent clarification, optional history mining, trigger-collision checks, linting, smoke/runtime gates, preview, and optional proposal persistence. Do not use it for creating a normal standalone skill, asking how meta-skills work, analyzing pasted skill lists, or discussing existing meta-skills.

Use this meta-skill instead of answering directly when the current user asks for a source-backed web research deliverable: cited research report, market or technical briefing, source-backed decision memo, or a researched writeup after current-source lookup. It uses multi-skill orchestration for preference inference, search/research, drafting, review, and optional export. Do not use it for generic summarization, ordinary writing from supplied notes, academic manuscript writing, document-decision analysis, or isolated fact lookup that does not require a cited report.

Query the web through multiple search engines (Brave, Tavily, SerpAPI, DuckDuckGo, Bing, Baidu, Sogou, 360) with a single CLI surface. Trigger when the user asks for a research search, fact lookup, source discovery, or wants to compare engines for coverage. The skill aggregates per-engine result lists and normalizes them into a uniform JSON shape for downstream skills (deep-research is the primary consumer). API-key engines gate themselves on the relevant environment variable; engines requiring no key always run.

Generate instrumental music, background beds, jingles, or sung songs with lyrics through OpenSquilla audio tools. Use when the user asks for BGM, music generation, 唱歌, 生成歌曲, lyrics to song, or a playable music audio artifact.

Generate or edit a single image via OpenRouter (google/gemini-3.1-flash-image-preview by default). Accepts a text prompt and optional --input-image for image-to-image editing. Trigger when the user asks for an AI image, illustration, concept art, product render, or wants to modify an existing image.