Claude Code 및 Claude Desktop Code의 토큰 사용량, 비용, 할당량 소진, 모델 혼합, 캐시 읽기/쓰기, 5시간 블록 소비를 ccusage 증거를 기반으로 분석합니다. 사용자가 왜 Claude 할당량이 소진되었는지, fable/opus/sonnet과 같은 모델이 비정상적으로 비싼지, 오늘 또는 과거에 얼마나 많은 토큰을 사용했는지 묻거나 로컬 Claude Code CLI/Desktop 사용에 대한 사람이 이해하기 쉬운 설명이 필요할 때 사용합니다.
이 스킬은 Claude Code와 Claude Desktop Code 환경에서 발생하는 토큰 사용량, 비용, 할당량 소모, 모델 혼합 비율, 캐시 읽기/쓰기, 그리고 5시간 단위 블록 소비 패턴을 ccusage 증거를 기반으로 분석하는 데 특화되어 있습니다. 개발자나 AI 에이전트 사용자가 할당량이 예상보다 빨리 소진되었거나 특정 모델(fable/opus/sonnet 등)이 비정상적으로 높은 비용을 발생시키는 이유를 이해해야 할 때 유용합니다. 또한 일별 또는 기간별 토큰 사용 내역을 조회하고, 로컬 Claude Code CLI 또는 Desktop 로그를 기반으로 사람이 읽기 쉬운 형태의 사용 보고서를 제공합니다. 이 스킬은 ccusage 도구를 활용하여 정확한 데이터를 추출하고 분석 결과를 자연어로 설명함으로써 사용자가 비용을 최적화하고 리소스 사용 패턴을 파악할 수 있도록 돕습니다.
npx skills add daymade/claude-code-skillsClaude Code 및 Claude Desktop Code의 토큰 사용량, 비용, 할당량 소진, 모델 혼합, 캐시 읽기/쓰기, 5시간 블록 소비를 ccusage 증거를 기반으로 분석합니다. 사용자가 왜 Claude 할당량이 소진되었는지, fable/opus/sonnet과 같은 모델이 비정상적으로 비싼지, 오늘 또는 과거에 얼마나 많은 토큰을 사용했는지 묻거나 로컬 Claude Code CLI/Desktop 사용에 대한 사람이 이해하기 쉬운 설명이 필요할 때 사용합니다.
This repo contains 10 individual skills — each has its own dedicated page.
>- Generates Chinese/Japanese speech with StepFun's Contextual TTS — default stepaudio-2.5-tts, stepaudio-3-tts for whisper/inline-() prosody. Replaces step-tts-2's voice_label with natural-language instruction. Use for emotional/prosody-controlled synthesis, batch voice lines, migrating from step-tts-2, or cloned voices (2.5/step-tts-2, not v3). Triggers on 阶跃 TTS, 语音合成, 配音. Not for transcription (use stepfun-asr).
This skill should be used when comparing two videos to analyze compression results or quality differences. Generates interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Triggers when users mention "compare videos", "video quality", "compression analysis", "before/after compression", or request quality assessment of compressed videos.
Download YouTube videos and HLS streams (m3u8) from platforms like Mux, Vimeo, etc. using yt-dlp and ffmpeg. Use this skill when users request downloading videos, extracting audio, handling protected streams with authentication headers, or troubleshooting download issues like nsig extraction failures, 403 errors, or cookie extraction problems.
Entry point for local AI conversation history across providers. Routes a request to the one skill that owns it, by platform (Claude Code, OpenAI Codex, Kimi CLI) and action (read evidence vs continue interrupted work), and owns the one job none of them own alone: a single inventory spanning all three providers. Use when the provider is unknown or plural ("our history", "what have I been working on", "which chats did I have"), when the user wants Kimi CLI history at all, when it is unclear whether they need evidence or resumption, or when they ask for this skill by name. Vague recall that names no platform ("we discussed this once, when was it?") belongs here rather than to a single-provider reader, because a Claude-only answer to an unscoped question cannot support an absence claim. When the platform and the action are both already clear, load that executor skill directly instead — except Kimi CLI, which has no reader or continuation skill of its own and always routes through here.
Create professional slide decks from topics or documents. Generates structured content with data-driven charts, speaker notes, and complete PPTX files. Applies persuasive storytelling principles (Pyramid Principle, assertion-evidence). Supports multiple formats (Marp, PowerPoint). Use for presentations, pitches, slide decks, or keynotes.
Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. This skill should be used when users provide loose requirements, ambiguous feature descriptions, or need to enhance prompts for AI-generated code, products, or documents. Triggers include requests to "optimize my prompt", "improve this requirement", "make this more specific", or when raw requirements lack detail and structure.
This skill should be used when establishing comprehensive QA testing processes for any software project. Use when creating test strategies, writing test cases following Google Testing Standards, executing test plans, tracking bugs with P0-P4 classification, calculating quality metrics, or generating progress reports. Includes autonomous execution capability via master prompts and complete documentation templates for third-party QA team handoffs. Implements OWASP security testing and achieves 90% coverage targets.
Reads, searches, and exports local Claude Code history without resuming work. Covers recent session inventory, exact session timelines, verbatim human input including queued mid-turn prompts, full-event keyword search, hybrid recall when wording changed, end-state triage, and deleted-file recovery across active Claude homes plus registered archives. Use whenever the user asks what they or Claude said, wants a Claude Code session ID or original context, remembers prior work vaguely, needs an old file from a transcript, or must prove what a Claude session contained before continuing it. Also owns the only Kimi CLI surface, via its Kimi inventory and search flags. For Codex history use read-codex-history; when the request names no platform at all or spans providers, start at local-conversation-history.
Reads, searches, and exports local OpenAI Codex history without continuing the old task. Lists recent Codex sessions, extracts exact prompt-ledger inputs by Session, locates a rollout by verified session_meta identity, reconstructs one chronological user/assistant timeline with fork and compaction lineage, and performs bounded keyword search across live and archived rollouts. Use whenever the user asks what they told Codex, wants recent original inputs, a Codex Session ID, full prior context, fork ancestry, or evidence of what a Codex run did. For Claude Code history use read-claude-code-history.
Fetch Twitter/X post content including long-form Articles with full images and metadata. Use when Claude needs to retrieve tweet/article content, author info, engagement metrics, and embedded media. Supports individual posts and X Articles (long-form content). Automatically downloads all images to local attachments folder and generates complete Markdown with proper image references. Preferred over Jina for X Articles with images.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.