claude

deep-thinking

Advanced skills for deep research, prompt engineering, trend analysis, meeting documentation, local markdown grounding, one-command LLM Wiki vault initialization, vault health linting, answer saving, schedule indexing, journaling, Hidden Reality anti-optimization idea forging, Game Juice game-feel UI, Cozy Refuge mood reproduction, five-lens source-traced explanation, long-form source library (canonical-text ingest and verbatim-quote query), and elegiac film-score music prompt forging

2 on GitHubby JSON-OBJECTv1.29.0MITupdated 3 days agoproductivity
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Plugin deep-thinking from marketplace jsonobject-marketplace in JSON-OBJECT/claude-code. Commands read from the repo's manifest — 3 days ago.

What it installs

Skills (21)

  • blog-cover

    Use when creating blog cover images with Gemini - generates anti-AI-looking, context-rich editorial prompts

  • blog

    Use when writing IT tech blog articles - 16-year veteran blogger framework ensuring fact-based, source-cited content with mandatory bullet point formatting and inline hyperlinks

  • cozy-refuge

    Use when creating content that should feel like a warm refuge — lo-fi girl vibes, Ghibli-esque everyday peace, a cozy rainy-window room, ambience loops, cozy apocalypse (a snug shelter at the end of the world, 終末日常系) — in any medium (image prompts, web UI, video scenes, soundscapes, game scenes, cop

  • deep-research

    Comprehensive deep research with multi-source analysis and Ki-Sho-Ten-Ketsu structured report

  • five-lens

    Explain an object, brand, person, concept, or event through five lenses (TL;DR · one-liner · encyclopedia · sharp insights · narrative and metaphor). Use when the user asks for an explanation through five lenses, from TL;DR to narrative, or lists these five cells.

  • game-juice

    Use when building or polishing browser UI that should FEEL like a Japanese gacha/casual mobile game — damage numbers, hit impact, screen shake, springy/alive buttons, combos, "juicy" / "game juice" / "game feel" UI (especially vertical 9:16 mobile). Treats juice as FEEDBACK that communicates game st

  • ground

    Generate grounded answers from local markdown archive (5-Stage pipeline)

  • hidden-reality

    Use when generating, verifying, or defending "Hidden Reality" software ideas - the design doctrine where engineering technology is deliberately wasted on imperfection, friction, slowness, and anti-utility to produce strange/beautiful/cute/uncanny experiences instead of efficiency. Handles blank-inpu

  • init-vault

    Use when turning a folder of markdown files (or an empty folder) into an LLM Wiki vault for the deep-thinking pipeline — verifies the FTS5 trigram runtime per OS, installs fts5-reindex.py and verdict-lookup.sh, scaffolds convention folders, git-inits with .gitignore, appends the vault protocol to CL

  • journal

    Use when the user dumps raw, unstructured thoughts/insights/memories to record, or asks to refine or promote past journal entries — turns the dump into clean, lineage-aware, ground-searchable (day × topic) chapters in the monthly insight log

  • library-ingest

    Ingest a long-form source (book, paper, report) into the library as canonical text with a structure ledger and a search index. Use when the user hands over a text to add to the library, or asks to rebuild the library index.

  • library-query

    Answer from the library's canonical texts with verbatim quotes anchored to file and line. Use when the user asks what a work in the library says, where something appears in it, or how works in the library compare.

  • lint

    Vault health check — report-only lint (contradictions, lineage, links, gaps)

  • meeting-notes

    Use when transforming meeting transcripts into actionable documentation - produces narrative-driven meeting notes with counterparty intelligence, immediate inline terminology, multi-source verification, and flowing prose that reads like a tech magazine briefing

  • pulse

    Use when needing to identify what's trending before deep research - discovers hot issues via multi-subreddit analysis to target valuable research topics

  • save-answer

    Use when the user asks to save/preserve the previous answer ("이 답변 저장해", "이거 저장해", "save this answer", "이 답변 보관해") right after a grounded or researched answer — archives the question-answer pair VERBATIM as one md file in the vault's `_answers/` folder, which is permanently excluded from FTS5 indexi

  • schedule

    Use when creating or refactoring schedule/calendar markdown files into ground-truth indexes — produces month-anchored, bookmark-style documents optimized for grounding, RAG retrieval, and chunk-based parsing instead of narrative-stuffed tables

  • translate-kr

    Use when translating English IT articles to Korean - transcreation framework that eliminates translation artifacts

  • verdict

    Distil a finished thread into verdict cards — compact, binding conclusions a future session reads instead of re-researching the topic. Builds the layer on first run.

  • writing-elegiac-music-prompts

    Forge an AI-music-generation prompt (Suno, Udio, or any text-to-music model) in the "Waltz on the Ruins" mood — dignified elegiac Japanese film-score piano over a swelling acoustic orchestra — from any natural-language seed, with structure map, negative directives, and a 9-point QA checklist

  • writing-z-image-turbo-prompts

    Forge a ZIT (Z-Image-Turbo) photorealism prompt from any natural-language seed — outputs sd-dynamic-prompts mustache template implementing the 90hex 11-slot doctrine

View source on GitHub

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