second-brain-lint
Scan wiki/ for quality issues — contradictions, unsupported claims, and content gaps — and save a structured report to outputs/.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Scan wiki/ for quality issues — contradictions, unsupported claims, and content gaps — and save a structured report to outputs/.
Use when the user wants to view AI conversation token usage as a receipt, invoice, checkout slip, token bill, usage receipt, cost snapshot, or creative monospace thermal-paper artifact. Always consider this skill for Chinese prompts like 查看本次对话 Token 消耗, 生成 token 小票, 对话发票, AI 用量账单, 把这次对话打成小票, 看看这轮 token 消耗, or any request to make token/context usage visually shareable.
Use when you need to update a project's own CLAUDE.md, README.md, or docs/ to reflect current state.
Fork an existing conference/journal paper into a second-venue submission variant: verify both CFPs' concurrent-submission policies, create a separate Overleaf project, convert the document class (LIPIcs/LNCS/acmart → target format), refit to the new page budget by relocating content to appendices (never cutting prose), run compile + anonymity + render-level QA, and write back vault submission + atlas output with concurrency/withdrawal clauses. Use for: 'submit this paper also to X', 'concurrent submission', 'make the WINE/EC/conference version', 'reformat for another venue'. NOT for preprints/arXiv (use preprint), NOT for moving a paper to a new target (use retarget-journal), NOT post-acceptance (use camera-ready).
Use when you need to audit the vault wiki (~/vault/concepts/) for fragmentation, missing tags, write-only concepts, and draft/anatomy conformance. Read-only — produces a markdown report at /tmp/wiki-curate-report.md. Companion to wiki-grow (which writes) and wiki-merge (which fixes overlap clusters).
Agent-native image workflow and optional prompt optimizer for `/bananahub` and generic agent image generation requests. Normalizes non-English prompts into English by default, generates or edits images across Gemini/Nano Banana, OpenAI GPT Image, chat-compatible routes, and Codex/host-native image tools when available, discovers or uses BananaHub templates, and captures successful multi-turn image iterations as reusable workflow templates. Explicit `/bananahub` requests execute the BananaHub workflow. Requests like "把刚才的调图流程沉淀成模板", "save this image workflow", or "capture workflow" should use the capture-workflow flow. Generic requests like "生成图片", "画一个", "create an image", or "edit this image" should load BananaHub as an optimization advisor: ask whether to optimize/template-route the prompt before generation, then continue with the user's chosen image channel.
Create or update docs/knowledge-base/ chapters in mdbook format for human-first technical documentation.
Text formatting conventions for markdown and prose files. Use when writing or editing any .md, .txt, .adoc, or .rst file, including AGENTS.md, SKILL.md files, and documentation in docs/.
Production pipeline for ASCII art video — any format. Converts video/audio/images/generative input into colored ASCII character video output (MP4, GIF, image sequence). Covers: video-to-ASCII conversion, audio-reactive music visualizers, generative ASCII art animations, hybrid video+audio reactive, text/lyrics overlays, real-time terminal rendering. Use when users request: ASCII video, text art video, terminal-style video, character art animation, retro text visualization, audio visualizer in ASCII, converting video to ASCII art, matrix-style effects, or any animated ASCII output.
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.