[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-82087":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":23,"hasPages":21,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":25,"readmeContent":26,"aiSummary":27,"trendingCount":15,"starSnapshotCount":15,"syncStatus":28,"lastSyncTime":29,"discoverSource":30},82087,"ParanoiaSkills","DY-2026\u002FParanoiaSkills","DY-2026","Evidence-first agent skills for game design analysis, concept architecture, and AI workflow evolution.",null,"Python",156,24,47,1,0,3,38,102,29,4.19,false,"main",true,[],"2026-06-12 02:04:23","\u003Cp align=\"center\">\n  \u003Cimg src=\".\u002Fassets\u002Fdemo-game-experience-before-after.png\" alt=\"60-second demo: Game Experience Analyzer turns PV input into an evidence-linked report\" width=\"100%\">\n\u003C\u002Fp>\n\n\u003Ch1 align=\"center\">ParanoiaSkills\u003C\u002Fh1>\n\n\u003Cp align=\"center\">\n  Installable, verifiable, and portable agent skill packages for game-design work.\n  Go from gameplay\u002FPV evidence to reports, from one-line ideas to validation plans, and from prompt changes to eval-backed workflow evolution.\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\".\u002FREADME.zh-CN.md\">简体中文\u003C\u002Fa> ·\n  \u003Ca href=\".\u002FREADME.en.md\">English\u003C\u002Fa> ·\n  \u003Ca href=\"#60-second-demo\">60-Second Demo\u003C\u002Fa> ·\n  \u003Ca href=\"#easy-start\">Easy Start\u003C\u002Fa> ·\n  \u003Ca href=\"#current-skills\">Current Skills\u003C\u002Fa> ·\n  \u003Ca href=\"#showcase\">Showcase\u003C\u002Fa> ·\n  \u003Ca href=\"#license\">License\u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Cimg alt=\"Skills\" src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FSkills-5-2ea44f\">\n  \u003Cimg alt=\"Domain\" src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDomain-Game%20Design-blue\">\n  \u003Cimg alt=\"Agent Ready\" src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FAgent--Ready-Codex%20%7C%20Claude%20Code%20%7C%20OpenCode-6f42c1\">\n  \u003Cimg alt=\"Method\" src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FMethod-Evidence%20%7C%20VOI%20%7C%20OODA-f9a825\">\n\u003C\u002Fp>\n\n> License: skill documents and tooling are released under the MIT License. The Paranoia name, logos, visual identity, and project branding are not licensed as trademarks.\n\n> Think of it as a compact operating system for game designers and AI agents: not a prompt collection, but reusable decision loops, evidence rules, quality gates, and output templates packaged as skills.\n\n## 60-Second Demo\n\nStart with one screenshot, gameplay recording, trailer\u002FPV, or video link. Ask the skill for an evidence-linked report:\n\n```text\nUse $game-experience-analyzer to analyze this gameplay recording into timestamped evidence, feature exposure\u002Funlock\u002Ffirst-use ledger, Hook\u002FLoop\u002FLink\u002FSurprise diagnosis, and actionable fixes.\n```\n\nThe strongest current case is [`《生存33天》41 分钟试玩录屏前期体验复盘示例`](.\u002Fgame-experience-analyzer\u002Fexamples\u002Fsurvival-33-days-gameplay-experience-report.md): a public gameplay recording becomes a timestamped report with visual evidence, feature ledger, early-loop diagnosis, UI\u002Fguide risks, and validation-ready fixes.\n\n## What This Is\n\n`ParanoiaSkills` is a game-design skill library that turns one-line ideas, game experience analysis, AI workflow evolution, professional translation, and source curation into reusable agent instructions, references, templates, and examples.\n\nIt is not a prompt dump. It is closer to a compact operating system for serious game design work:\n\n```text\nAnalyze screenshots, recordings, trailers, and video links\n-> architect one-line ideas into testable game concepts\n-> evolve the agent workflow that performs the work\n-> translate and structure design knowledge\n-> curate high-quality sources into reusable knowledge\n```\n\n## Why Star This\n\n- **Open and portable:** each skill is a readable, copyable, auditable Markdown package that does not lock your workflow into one product.\n- **Evidence-first:** judgments should point back to sources, screenshots, timestamps, sample evidence, or validation metrics.\n- **Concept-to-validation:** a promising idea is not treated as a GDD; it becomes a seed, a player promise, a core loop, a scope gate, and a prototype test.\n- **Workflow-first:** useful behavior is written into `SKILL.md`, `references\u002F`, and `templates\u002F`, not left as one lucky answer.\n- **Game-design native:** built for experience, mechanics, MDA, systems narrative, genre strategy, market windows, monetization, and production workflows.\n- **Agent portable:** not tied to one tool; Codex, Claude Code, OpenCode, or any Markdown-skill-capable agent can adapt it.\n- **Controlled evolution:** VOI, OODA, evals, Human Gate, and rollback keep workflows from drifting out of control.\n\n## Easy Start\n\nThe simplest path is three small moves: pick a skill, give the agent your material, and ask for a reviewable output.\n\n### 1. Pick the right skill\n\n| What you have | Use this skill | What you get |\n| --- | --- | --- |\n| Screenshot, recording, PV\u002Ftrailer, or video link | `$game-experience-analyzer` | A game experience report with timestamps, evidence, and issue priorities |\n| One-line game idea | `$game-concept-architect` | Concept seed, player promise, core loop, scope gate, and validation plan |\n| Prompt, workflow, schema, or agent rule | `$paranoia-ai-system-evolver` | A VOI\u002FOODA\u002Feval\u002FHuman Gate\u002Frollback-backed evolution proposal |\n| English game design chapter or essay | `$game-design-book-translator` | Professional Chinese design translation with reviewable terminology |\n| Articles, videos, creators, or websites | `$game-design-source-curator` | Maintainable game design knowledge-base entries |\n\n### 2. Copy a minimal prompt\n\nCall a skill directly in an agent environment that supports skill loading:\n\n```text\nUse $game-experience-analyzer to analyze this gameplay recording into timestamped evidence, design lenses, heat potential, foresight windows, Go\u002FNo-Go, and validation recommendations.\n```\n\n```text\nUse $paranoia-ai-system-evolver to upgrade this prompt\u002Fworkflow\u002Fschema with VOI, OODA, evals, Human Gate, and rollback.\n```\n\n```text\nUse $game-design-book-translator to translate and polish this game design chapter into professional Chinese, including terminology and figure captions.\n```\n\n```text\nUse $game-design-source-curator to review these game design sources and turn accepted items into a maintainable local knowledge base.\n```\n\n```text\nUse $game-concept-architect to turn this one-line game idea into a concept seed, player promise, core loop, scope gate, production feasibility check, and prototype validation plan.\n```\n\n### 3. Install it in your own agent environment\n\nIf your tool supports local skills, copy the target folder into that tool's skill directory:\n\n```text\ngame-experience-analyzer\u002F\nparanoia-ai-system-evolver\u002F\ngame-design-book-translator\u002F\ngame-design-source-curator\u002F\ngame-concept-architect\u002F\n```\n\nAfter installation, check that the `SKILL.md` frontmatter `name` matches the folder name, and that relative links inside `references\u002F`, `templates\u002F`, and `examples\u002F` still resolve.\n\n## Showcase\n\n\u003Ctable>\n  \u003Ctr>\n    \u003Ctd width=\"20%\">\n      \u003Cimg src=\".\u002Fassets\u002Fshowcase-game-experience-analyzer.png\" alt=\"Game Experience Analyzer showcase\">\n    \u003C\u002Ftd>\n    \u003Ctd width=\"20%\">\n      \u003Cimg src=\".\u002Fassets\u002Fshowcase-voi-ooda.png\" alt=\"Paranoia AI System Evolver showcase\">\n    \u003C\u002Ftd>\n    \u003Ctd width=\"20%\">\n      \u003Cimg src=\".\u002Fassets\u002Fshowcase-book-translator.png\" alt=\"Game Design Book Translator showcase\">\n    \u003C\u002Ftd>\n    \u003Ctd width=\"20%\">\n      \u003Cimg src=\".\u002Fassets\u002Fshowcase-source-curator.png\" alt=\"Game Design Source Curator showcase\">\n    \u003C\u002Ftd>\n    \u003Ctd width=\"20%\">\n      \u003Cimg src=\".\u002Fassets\u002Fshowcase-game-concept-architect.png\" alt=\"Game Concept Architect showcase\">\n    \u003C\u002Ftd>\n  \u003C\u002Ftr>\n  \u003Ctr>\n    \u003Ctd>\u003Cb>Analyze game experience\u003C\u002Fb>\u003Cbr>Convert screenshots, recordings, trailers, and video links into evidence-first game design reports.\u003C\u002Ftd>\n    \u003Ctd>\u003Cb>Evolve workflows\u003C\u002Fb>\u003Cbr>Upgrade prompts, schemas, evals, memory, and tool routing through VOI, OODA, gates, and rollback.\u003C\u002Ftd>\n    \u003Ctd>\u003Cb>Translate design knowledge\u003C\u002Fb>\u003Cbr>Transform serious game design books and chapters into professional Chinese design writing.\u003C\u002Ftd>\n    \u003Ctd>\u003Cb>Curate sources\u003C\u002Fb>\u003Cbr>Turn scattered articles, videos, creators, columns, and websites into a durable game design knowledge base.\u003C\u002Ftd>\n    \u003Ctd>\u003Cb>Architect game concepts\u003C\u002Fb>\u003Cbr>Turn a one-line idea into a seed, player promise, core loop, scope gate, and validation plan.\u003C\u002Ftd>\n  \u003C\u002Ftr>\n\u003C\u002Ftable>\n\n## Skill Architecture\n\n`ParanoiaSkills` is organized into three layers. Public repository contains base skills. Private overlays should live outside this repository.\n\n- **Design Production Layer**\n  - [`game-concept-architect\u002F`](.\u002Fgame-concept-architect\u002F): one-line idea -> verifiable design blueprint.\n  - [`game-experience-analyzer\u002F`](.\u002Fgame-experience-analyzer\u002F): media\u002Fsample -> evidence-linked diagnosis.\n- **Workflow Governance Layer**\n  - [`paranoia-ai-system-evolver\u002F`](.\u002Fparanoia-ai-system-evolver\u002F): prompt\u002Fworkflow\u002Fschema\u002Feval changes -> controlled evolution.\n- **Knowledge Asset Layer**\n  - [`game-design-book-translator\u002F`](.\u002Fgame-design-book-translator\u002F): design texts -> professional Chinese design writing.\n  - [`game-design-source-curator\u002F`](.\u002Fgame-design-source-curator\u002F): scattered sources -> durable knowledge base.\n\nUsers may still use these skills with real projects, private projects, client work, or synthetic cases in their own environment. The public-case rules apply only to content committed back to this repository.\n\n## Current Skills\n\n| Skill | One-line Use | Best For | Package |\n| --- | --- | --- | --- |\n| **Game Experience Analyzer** | Turns screenshots, gameplay recordings, trailers\u002FPVs, and video links into evidence-first Chinese game design reports. | Early experience, mechanics, holistic product analysis, MDA, systems-narrative fusion, single-player flow, genre strategy, heat prediction, foresight windows, monetization, UX. | [`game-experience-analyzer\u002F`](.\u002Fgame-experience-analyzer\u002F) |\n| **Paranoia AI System Evolver** | Turns prompt, workflow, memory, schema, tool-routing, and eval changes into controlled system evolution. | VOI\u002FOODA, model compression, causal mediators, Human Gate, rollback, validated upgrades. | [`paranoia-ai-system-evolver\u002F`](.\u002Fparanoia-ai-system-evolver\u002F) |\n| **Game Design Book Translator** | Produces professional Chinese game design translations that read like serious design writing. | Terminology, chapters, figures, captions, tables, QA, source-boundary checks. | [`game-design-book-translator\u002F`](.\u002Fgame-design-book-translator\u002F) |\n| **Game Design Source Curator** | Converts scattered game design sources into a durable local knowledge base. | Source screening, scoring, HTML archives, registries, update history, design experiment cards. | [`game-design-source-curator\u002F`](.\u002Fgame-design-source-curator\u002F) |\n| **Game Concept Architect** | Turns one-line game ideas into verifiable concept briefs with seed extraction, player promises, core loops, scope gates, and prototype validation plans. | Indie game ideation, pitch shaping, external feasibility, platform\u002Fbusiness fit, MVP\u002Fvertical slice planning, production constraints. | [`game-concept-architect\u002F`](.\u002Fgame-concept-architect\u002F) |\n\n## Use Cases\n\n- **Competitor experience review:** turn a gameplay recording into a timeline, feature ledger, loop diagnosis, issue priority, and concrete fixes.\n- **Trailer heat prediction:** evaluate first seconds, one-line value proposition, proof of play, channel fit, conversion path, and validation plan.\n- **Foresight opportunity:** judge whether a genre, theme, or mechanic still has a window; casual\u002Flight defaults to 1-3 months, micro\u002Fmidcore-heavy defaults to 3-6 months.\n- **Source curation:** turn articles, videos, creators, columns, and websites into searchable, citable, experiment-ready design knowledge.\n- **Professional translation:** translate game design books or essays while preserving terminology, argument structure, and figure context.\n- **Workflow evolution:** promote useful agent behavior into candidate rules with evals, Human Gate, and rollback.\n- **Concept feasibility:** turn a one-line idea into concept seed extraction, player promises, core loop design, scope gate, production feasibility, and prototype validation.\n\n## Repository Layout\n\n```text\nParanoiaSkills\u002F\n|-- README.md\n|-- README.zh-CN.md\n|-- README.en.md\n|-- LICENSE\n|-- CONTRIBUTING.md\n|-- adapters\u002F\n|-- contracts\u002F\n|-- docs\u002F\n|-- .github\u002F\n|-- releases\u002F\n|-- scripts\u002F\n|-- assets\u002F\n|   |-- demo-game-experience-before-after.png\n|   |-- voi-ooda-system-evolver-hero.png\n|   |-- showcase-game-experience-analyzer.png\n|   |-- showcase-voi-ooda.png\n|   |-- showcase-book-translator.png\n|   |-- showcase-source-curator.png\n|   `-- showcase-game-concept-architect.png\n|-- game-experience-analyzer\u002F\n|-- paranoia-ai-system-evolver\u002F\n|-- game-design-book-translator\u002F\n|-- game-design-source-curator\u002F\n`-- game-concept-architect\u002F\n```\n\nMost skills follow this structure:\n\n```text\nSKILL.md      -> agent entrypoint, triggers, workflow, boundaries\nreferences\u002F  -> methods, scoring rules, routers, gates, validation playbooks\ntemplates\u002F   -> reusable forms and output structures\nexamples\u002F    -> reviewable example outputs\nagents\u002F      -> metadata for agent environments that support it\nevals\u002F       -> regression prompts and expected behavior\n```\n\n## Install And Use\n\nThese packages are portable skill folders. A typical setup:\n\n1. Copy or sync a skill folder into your agent skill directory.\n2. Confirm the `SKILL.md` frontmatter `name` matches the folder name.\n3. Trigger the skill by `$skill-name` or natural language.\n4. Validate JSON\u002FYAML, reference paths, and examples according to the skill README or `SKILL.md`.\n\n## Validation\n\nRun these commands from the repository root:\n\n```text\npython scripts\u002Fvalidate_repo.py\npython scripts\u002Fvalidate_skill.py game-experience-analyzer\npython scripts\u002Fvalidate_skill.py game-concept-architect\n```\n\n## License\n\nSkill documents and tooling in this repository are released under the [MIT License](.\u002FLICENSE).\n\nThe Paranoia name, logos, visual identity, and project branding are not licensed as trademarks. Examples may have their own `source_status`, `case_type`, or source metadata; check each example's frontmatter before reuse.\n\n## Package Conventions\n\nEach skill is an independently installable package. Keep `SKILL.md` as the runtime entrypoint, put durable methods in `references\u002F`, reusable forms in `templates\u002F`, examples in `examples\u002F`, and regression checks in `evals\u002F`.\n\n## Contributing\n\nPublic examples, evals, assets, showcases, and release notes must use synthetic, public, or explicitly cleared material. See [CONTRIBUTING.md](.\u002FCONTRIBUTING.md) before submitting repository-facing content.\n\n## Design Principles\n\n```text\nEvidence before opinion.\nFeasibility before scope.\nWorkflow before one-off prompts.\nVOI before research.\nEval before promotion.\nRollback before confidence.\n```\n\n## Future Skills\n\nDepending on feedback and maturity, future additions may include AI + indie game production packages such as:\n\n- `indie-game-production-master`: full-cycle indie production from idea validation, GDD\u002FGates, prototyping, playtesting, AI asset pipelines, Steam\u002Frelease strategy, and postmortem writeback.\n- `godot-ai-game-production`: Godot + AI production covering project scaffolding, design truth, data contracts, asset pipelines, headless\u002Fkeyshot validation, Demo\u002FRelease Gates, and engineering retrospectives.\n","ParanoiaSkills 是一个面向游戏设计工作的可安装、可验证和可移植的技能包。它能够将游戏玩法或预告片等输入转化为基于证据的报告，从单行想法生成验证计划，并通过提示更改推动工作流程演进。项目采用Python编写，支持Codex、Claude Code 和 OpenCode等多种AI代理，具备处理证据、价值信息（VOI）以及OODA循环方法的能力。特别适合于需要对游戏体验进行深度分析、概念测试及工作流优化的游戏设计师使用。",2,"2026-06-11 04:07:42","CREATED_QUERY"]