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Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/daymade/claude-code-skills --skill llm-icon-finder명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
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.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | llm-icon-finder |
| description | Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats. |
Access AI/LLM model brand icons and logos from the lobe-icons library. The library contains 100+ icons for models (Claude, GPT, Gemini), providers (OpenAI, Anthropic, Google), and applications (ComfyUI, LobeChat).
Available formats: SVG (scalable), PNG (raster), WEBP (compressed) Theme variants: light, dark, and color (some icons)
Construct URLs using these patterns:
# SVG
https://raw.githubusercontent.com/lobehub/lobe-icons/refs/heads/master/packages/static-svg/{light|dark}/{icon-name}.svg
# PNG
https://raw.githubusercontent.com/lobehub/lobe-icons/refs/heads/master/packages/static-png/{light|dark}/{icon-name}.png
# WEBP
https://raw.githubusercontent.com/lobehub/lobe-icons/refs/heads/master/packages/static-webp/{light|dark}/{icon-name}.webp
# Color variant (append -color to icon-name)
https://raw.githubusercontent.com/lobehub/lobe-icons/refs/heads/master/packages/static-png/dark/{icon-name}-color.png
Icon naming convention: Lowercase, hyphenated (e.g., claude, chatglm, openai, huggingface)
When users request icons:
https://lobehub.com/icons/{icon-name}Common icons: See references/icons-list.md for comprehensive list organized by category (Models, Providers, Applications, Chinese AI)
Uncertain names:
alibaba vs alibabacloud)-color variants if standard URL failsChinese AI models: Support Chinese queries (e.g., "智谱" → chatglm, "月之暗面" → moonshot)
Single icon request:
User: "Claude icon"
→ Provide: https://raw.githubusercontent.com/lobehub/lobe-icons/refs/heads/master/packages/static-png/dark/claude.png
→ Also mention color variant and web viewer link
Multiple icons download:
curl -o openai.svg "https://raw.githubusercontent.com/lobehub/lobe-icons/.../dark/openai.svg"
curl -o anthropic.svg "https://raw.githubusercontent.com/lobehub/lobe-icons/.../dark/anthropic.svg"
Chinese query:
User: "找一下智谱的图标"
→ Identify: 智谱 = ChatGLM → icon name: chatglm
→ Provide URLs and mention related icons (zhipu, codegeex)
If URL returns 404:
-color suffix variantchatgpt vs gpt, google vs gemini)references/icons-list.md - Comprehensive list of 100+ available icons by categoryreferences/developer-info.md - npm installation and React usage examples