2천건 · 관련도순
Drive ffmpeg through the media_run tool as an argv array - remux instead of re-encode, map streams explicitly, trim at keyframes, scale and crop, extract audio and frames, and build GIFs, contact sheets and concatenations. Covers the flags this pack injects, reading a failure from its exit code and last log lines, and the version-dependent spellings to hedge.
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Read a media file's real structure with ffprobe through media_run - the JSON invocation and how to read it, what every family of field means, how to count frames, sample without decoding everything, detect HDR and interlacing, and diagnose a missing duration, a stream with no frames or a container that lies. Covers when media_probe's own report is already enough.
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Write, compile, load, debug and re-use SuperCollider SynthDefs with sc_synthdef - the unit of sound design in SuperCollider. Covers Out and ReplaceOut, argument naming, envelopes and doneAction, why a def must be loaded on a specific server before /s_new works, and how to read the compiler's error rather than guessing.
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The SuperCollider language itself - function blocks and argument syntax, UGen rate methods (.ar/.kr/.ir), multi-channel expansion, var scoping, ~environment variables, the class library's shape, and the error messages that mean a specific mistake. Written for an agent that knows audio DSP but not this language.
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Author Mermaid diagrams that parse the first time: choose the right diagram type for the question, write syntax the parser accepts, and keep the picture readable in a narrow panel. A bundled reference covers complex, large diagrams.
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Read and understand PDF documents with the pdf_* tools - inspect a document before reading it, extract text in reading order or as reconstructed layout, search a document without reading all of it, recognize scanned pages that have no text layer, and render pages as pictures. Covers scanned documents, chat attachments, page-range and character caps, and the read-only and untrusted-content rules.
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Author TikZ/LaTeX diagrams that compile: use the host's prepared preamble, the right libraries, layout and plot recipes, and read the compiler's line-accurate errors to converge in a couple of writes. A bundled reference covers complex, large pictures.
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Find the answer in the SuperCollider documentation that ships with the install instead of guessing - what sc_help's search, answer, class and index actions return, what the .schelp tree looks like (over a thousand files: Classes, Guides, Reference, Overviews), how to read a class page for its argument names, and where the server's OSC commands are written down.
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Work with SuperCollider projects as files - the shape of a .scd piece, how to read and write one with sc_project, how to send the file that is on disk into the live session with sc_load, what state belongs in the session and what belongs in the file, and how to package a piece the SuperCollider way (a folder with its .scd, its SynthDefs, and a Quark-style layout) instead of inventing a format.
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dev-graph artifact を正規 path へ atomic 追加・差分更新したいとき、system-dev-planner の exact 13 phase task package を all-or-none 登録したいときに使う。
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Use to sweep the governance shape, trace a node's lineage, diff against the last sweep, or read its blast radius.
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Pull version-current Convex docs for the version this project uses — pin the installed version, fetch page-as-markdown or check node_modules types, freshness hierarchy — instead of writing a possibly-stale API from memory.
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Pull version-current Convex docs for the version this project uses — pin the installed version, fetch page-as-markdown or check node_modules types, freshness hierarchy — instead of writing a possibly-stale API from memory.
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Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots in Node.js or browser environments. Triggers: "voice live", "rea...
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Azure Batch SDK for Java. Run large-scale parallel and HPC batch jobs with pools, jobs, tasks, and compute nodes. Triggers: "BatchClient java", "azure batch java", "batch pool java", "batch job java", "HPC java", "parallel computing java".
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Deploy and configure Tailscale as a WireGuard-based zero trust mesh VPN with identity-aware access controls, ACLs, and exit nodes for secure peer-to-peer connectivity.
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Identify ransomware network indicators including C2 beaconing patterns, TOR exit node connections, data exfiltration flows, and encryption key exchange via Zeek conn.log and NetFlow analysis
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Use when managing Node.js dependencies with pnpm - provides workspace setup, catalogs, CLI commands, overrides, and CI configuration
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Create a node-local skill on a follower machine and prepare its promotion into the shared set through a gate. Use when a new skill idea appears on a peer and should not wait for the hub. Triggers: "/skill-forge <idea>".
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Reboot a fleet node safely by one protocol: pre-flight (save state, finish syncing, warn peers, verify autostart is armed), then a full restart rather than a fast-startup hybrid, then a post-reboot check through the crash-recovery skill. Triggers: "/reboot", "restart this machine".
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Repair the Cursor editor when it crashes, fails to launch, or new Agent chats break. Use with a Request ID, fresh logs, CursorRule.parse_error or invalid UTF8 in skill frontmatter, or a better-sqlite3 NODE_MODULE_VERSION mismatch. Finds a reproducible cause, applies a narrow reversible fix and proves it with two new chats. Triggers: /cursor-repair, Cursor won't start, Cursor agent broken.
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End-of-life detection for runtimes (Node, Python, Java, Go, .NET) and key packages — surfaces past-EOL items, items reaching EOL within 90 days, and EOL base images for containers. Use when planning a runtime upgrade, auditing for unsupported versions, gating a deploy against EOL deps, or producing a remediation roadmap.
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Audit a dataset or access rule before it joins an identity-graph build (access rules behave like datasets in NQL here). Enumerates failure modes (hub identifiers, high-degree nodes, suspicious values, over-connected identifiers), tests hypotheses in parallel, quantifies damage by rows / edges / entities, and proposes minimal filters ranked by severity. When issues are found, returns a validated `CREATE MATERIALIZED VIEW` NQL the caller can run to produce a graph-ready clean source; if the data passes, says so and recommends it unchanged. Plans and authors the clean-view NQL; does not execute it. Use when: "audit this dataset before the graph build", "find bad edges in <source>", "check identity data quality", "recommend filters for the graph build", "quantify damage from <identifier_type>", "pre-graph DQ". (narrative-identity)
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ego-browser (ego-lite) is a Chromium-based browser that gives AI agents a CLI-accessible Node.js runtime for driving a real browser. Use this skill whenever the user needs to interact with a website opening pages, filling forms, clicking buttons, taking screenshots, extracting page data, testing web apps, logging into sites, automating browser operations, or any other browser automation task. Triggers include requests to "open a website", "visit a URL", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "extract content from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also used for exploratory testing, dogfooding, QA, bug hunting, or reviewing app quality. Prefer ego-browser over any built-in browser automation, web fetch, or other web tools.
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