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agentplay is an open-source command-line tool and local web viewer maintained by Entelligence AI for replaying coding-agent sessions as a map and timeline. It discovers session data from Claude Code, Codex, Cursor, GitHub Copilot, OpenCode, and Kiro, parses transcripts or local database stores into redacted agentplay/v1 JSON maps, and serves them from a local viewer. The session map records files and repositories touched, shell verbs, tools, MCP servers, models, subagents, errors, retries, delays, outputs, token counts, and timing without storing prompt or assistant text, tool inputs or outputs, file contents, or command arguments. The viewer provides a radial session map, playback with step or wall-clock time, error and retry navigation, task and subagent scopes, and import/export of map files. It runs locally without an account or API key; session data remains on the device, with an optional email-signup network request that can be disabled. The CLI requires Python 3.11 or newer, has no runtime dependencies beyond the standard library, and is distributed under the Apache License 2.0.

soundshuman is an open-source writing-analysis and repository-auditing toolkit for identifying patterns associated with AI-generated prose. It combines a humanizer skill, a machine-readable rule pack, and a zero-dependency CLI: the skill uses a 41-pattern catalog, statistical signals, voice calibration from writing samples, and a draft–audit–final workflow; the rule pack stores vocabulary tiers, phrase fixes, and weighted regular-expression detectors in JSON; and the CLI scores text from 0 to 100, explains findings with line numbers and triggered rules, applies selected mechanical fixes, scans repositories, and can gate CI. The project states that its goal is inspectable editing rather than defeating AI detectors, with rewrites delivered as reviewable Git diffs and a no-invented-facts rule. The CLI runs on Node 18 or later without dependencies and supports pasted text, files, repository audits, and directory scans. The skill is distributed as plain Markdown for agent harnesses and as a Claude Code plugin; the repository also includes reference materials, a pre-commit hook, CI integration, and installation instructions. It is MIT licensed, with upstream copyrights preserved in the license.

An open-source AI agent skill for Claude Code, Codex, and similar coding agents that produces cinematic product, marketing, launch, and demo videos with Remotion. It provides shot recipe cards, motion previews, a reusable video template, and workflows for storyboarding, real page capture, animation, 2.5D camera moves, sound design, beat-synced cuts, and visual checks. The repository includes native Remotion components driven by normalized progress values, a gallery for browsing motion previews, and an optional JianYing project export that separates shot plates, captions, sound effects, and background music into editable tracks. It can be installed through the skills CLI, by cloning the repository, or by linking it into a Claude Code or Codex skills directory.

video-use is an open-source video-editing tool for coding agents such as Claude Code, Codex, Hermes, and Openclaw. It takes raw footage in a folder and produces an edited MP4, with support for removing filler words and dead space, applying FFmpeg color-grading chains, adding short audio fades at cuts, burning customizable subtitles, and generating animation overlays through HyperFrames, Remotion, Manim, or PIL. Its pipeline transcribes each source with ElevenLabs Scribe, packing word-level timestamps, speaker diarization, and audio events into a Markdown view. The agent reasons over that transcript and requests filmstrip, waveform, and word-label composites from timeline_view only at decision points, rather than processing every video frame as visual context. It then creates an edit decision list, renders the result, evaluates the rendered video at every cut boundary for visual jumps, audio pops, and subtitle problems, and can revise and re-render up to three times. The tool uses an approval-oriented workflow in which the agent inventories sources, proposes an editing strategy, waits for confirmation, executes the edit, evaluates it, and persists session memory in project.md. It requires FFmpeg and an ElevenLabs API key; yt-dlp is optional for downloading online sources. Outputs are placed in an edit directory next to the source footage.

showtime is an open-source local video studio for coding agents. It turns a one-sentence video request into motion graphics, voice-over, music, sound effects, captions, footage edits, platform exports and self-contained HTML videos, running on the user's machine without its own cloud service, API keys or media uploads. Motion graphics are authored in HTML, CSS and canvas and rendered frame-by-frame in headless Chrome; mathematical scenes can use Manim, while footage is transcribed and edited with FFmpeg. The agent shows stills or a fast draft before the full render, then runs checks for issues such as loudness, black or frozen frames, captions and platform specifications. Studio mode provides a local board for selecting concepts, visual styles, music and storyboards, and optional specialist sub-agents can handle research, scene building and critique. The project is distributed as an Agent Skill, command-line tool and MCP server for hosts including Claude Code, Codex, Cursor, Devin and OpenCode. It downloads models and tools into a local ~/.showtime directory, records job receipts and attribution credits, and creates separate output folders for each job. The repository's own code is MIT-licensed; downloaded third-party tools, models and media retain their respective licenses.