菜单
Start or reuse a self-contained local web gallery for browsing Codex-generated images. Use when the user asks to browse Codex generated images, open a local image gallery, inspect ~/.codex/generated_images, view a Codex image output folder, or browse image files produced by Codex.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/daymade/claude-code-skills --skill codex-image-gallery命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Audits, preserves, recovers, and safely retires local Git state: unpushed or wrong-branch commits, dirty or detached worktrees, forgotten duplicate clones of the same repo, untracked work no bundle can back up, orphaned stashes, dangling commits, stale branches, and squash/rebase merge uncertainty. Use when the user fears work was lost; asks to recover a commit or branch; asks whether a worktree, clone, or scratch directory can be deleted; wants everything converged onto one main branch; or needs proof that cleanup will not drop work. Use it even after an audit reported clean — the usual gap is scope: every in-repo command is blind to a second clone elsewhere on disk. Triggers on "did I lose work", "is everything merged", "is anything else lost", "safe to delete this clone", "clean up old branches/stashes", "only keep one main branch", "git reflog", "dangling commits", "分支灾难", "误删分支/commit", "worktree 能删吗", "还有没有丢的东西", "只保留一个主分支". Covers local-Git forensics, not GitHub PR/API operations or routine sync.
Transcribe audio/video to speaker-labeled text — who-said-what by default, plain-text opt-out; MLX-local on Apple Silicon or remote; local files, media URLs. Use for transcribing recordings/podcasts/lectures/meetings, ASR, speech-to-text, 转录, 语音转文字, 录音转文字, speaker diarization/说话人分离/识别/谁在说话, timestamps 字幕/时间戳/音画对齐, CAM++ voiceprint ID. This skill ALSO owns audio PREPROCESSING for ASR as a first-class trigger, even without transcription: convert any audio/video into an ASR-ready file (转换成适合 ASR 的格式, 转格式, convert/prepare audio for ASR, 音频预处理), downsample to 16kHz mono 16-bit (降采样, 重采样, 单声道, 归一化), merge multi-segment recorder dumps (多段合并/拼接, DJI TX01/TX02), transcode to small M4A + pitch-preserved speedup to cut metered-ASR billed minutes (转 M4A, 压缩上传, 加速, 1.3x, 飞书妙记/Feishu Minutes). Trigger even when it looks like a trivial one-line ffmpeg — the skill owns sample-rate/bit-depth/channel, merge-order, speed-vs-WER, format choices + a blessed prepare_asr_input.py.
Corrects speech-to-text transcription errors with dictionary rules and Claude's built-in AI (no external API key required); Native AI Correction is the default, Stage 1 alone is incomplete, and Stage 3 API is only for automation without Claude Code. Builds personalized correction databases, loads person-name ASR variants from the configured global people roster, and reads per-domain contexts for homophones. Before correcting a person name, the agent must consult both the global roster and the owning project's identity roster; project rosters are not auto-loaded, and occurrence frequency is never identity evidence. Use for ASR/STT output with recognition errors, homophones, garbled technical terms, person-name errors, or mixed Chinese/English, and for cleaning meeting notes, lecture transcripts, interviews, or any speech-recognition text—even when the user only says “fix this transcript,” “clean up these meeting notes,” or mentions a garbled name.
正在显示 SKILL.md
| name | codex-image-gallery |
| description | Start or reuse a self-contained local web gallery for browsing Codex-generated images. Use when the user asks to browse Codex generated images, open a local image gallery, inspect ~/.codex/generated_images, view a Codex image output folder, or browse image files produced by Codex. |
Start a local browser gallery for Codex image outputs. This skill is self-contained: the server lives in scripts/server.mjs, and the UI template lives in assets/index.html.
Run commands from this skill directory, the directory containing this SKILL.md.
node scripts/server.mjs
The server prints the actual URL. It starts at http://127.0.0.1:8765/ and tries later ports if the default is occupied.
Check the default URL first:
node -e 'fetch("http://127.0.0.1:8765/api/images").then(r => r.json()).then(j => console.log(j.rootPath, j.items.length)).catch(() => process.exit(1))'
If this succeeds, reuse the running server at http://127.0.0.1:8765/.
If the API check fails, check for a running server process:
pgrep -fl 'node .*server\.mjs' || true
When a process exists but the default URL fails, inspect its stdout or try likely later ports because the server auto-increments when a port is occupied.
Verify any reused URL before reporting success:
node -e 'fetch("http://127.0.0.1:8765/api/images").then(r => r.json()).then(j => console.log(j.rootPath, j.items.length))'
If the server chose another port, use that port.
Start the server if none is running:
node scripts/server.mjs
Keep the process running for the user and read stdout for the URL.
Open the browser unless the user asks for URL-only:
open http://127.0.0.1:8765/
Default image root:
~/.codex/generated_images
Use a different folder with:
GALLERY_ROOT=/path/to/images node scripts/server.mjs
Before declaring the skill healthy after edits, run:
node --check scripts/server.mjs
Then start the server and verify:
GET /api/images returns JSON with rootPath and items/images/<relative-path> returns image content for at least one listed itemassets/index.htmlReport the URL, image root, whether the server was reused or newly started, and any verification failure. Keep the answer short.