[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6QFF3E76GASZ3BA7Y08XP46":3,"skill-same:01M6QFF3E76GASZ3BA7Y08XP46":80},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":14,"repositoryHtmlUrl":60,"repositoryHomepageUrl":61,"ownerHtmlUrl":62,"ownerBlogUrl":63,"ownerDescription":64,"updatedAt":65,"install":66,"resources":79},"01M6QFF3E76GASZ3BA7Y08XP46","paperzilla",null,"Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Use when users ask for recent project recommendations, canonical paper details, markdown-based summaries, recommendation feedback, feed export, or Atom feed URLs.","Tashima-Tarsh\u002FDisha6.6","Tashima-Tarsh","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F269906498?v=4","01M6PBH98X03XERH0HFT4PFB1P","NITISH KUMAR","01M6PBH9DA0M6KM3Z12P848F0K",0,"MIT","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkal-paperzilla\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[5,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"project","for","papers","canonical","with","recommendation","users","literature","recommendations","review","chat","export","use","ask","feedback","projects","markdown","feeds","monitoring","2026-11-10 10:12:30",false,"---\nname: paperzilla\ndescription: Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Use when users ask for recent project recommendations, canonical paper details, markdown-based summaries, recommendation feedback, feed export, or Atom feed URLs.\nlicense: MIT\nmetadata:\n  version: '1.0'\n  category: literature-review\n  maintainer: Kalaris Labs\n  contributor: Paperzilla Inc\n  tags: paper recommendations, research feeds, literature monitoring\n---\n\n# Paperzilla\n\nUse this skill when you want to chat with your agent about projects, recommendations, and canonical papers in Paperzilla.\n\n## What you can ask\n\n- \"Give me the latest recommendations from project X.\"\n- \"Open recommendation Y and explain why it matters.\"\n- \"Fetch canonical paper Z as markdown and summarize it.\"\n- \"Tell me how this paper is relevant to my research.\"\n- \"Show me the feed for project X.\"\n- \"Leave feedback on a recommendation.\"\n- \"Export this paper, recommendation, or feed as JSON.\"\n\nThis is the core Paperzilla skill. It gives your agent direct access to Paperzilla data, but it does not impose a workflow or external delivery integration.\n\n## Access method\n\nMost current profiles in this repo use the `pz` CLI.\n\nIf the current profile ships extra agent-specific instructions, follow those as well.\n\n## Install\n\n### macOS\n```bash\nbrew install paperzilla-ai\u002Ftap\u002Fpz\n```\n\n### Windows (Scoop)\n```bash\nscoop bucket add paperzilla-ai https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fscoop-bucket\nscoop install pz\n```\n\n### Linux\nUse the official Linux install guide:\n\n- https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli-getting-started\n\n### Build from source (Go 1.23+)\nSee the CLI repository for source builds:\n\n- https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fpz\n\n## Update\n\nCheck whether your CLI is up to date and get install-specific upgrade steps:\n\n```bash\npz update\n```\n\nIf detection is ambiguous, override it explicitly:\n\n```bash\npz update --install-method homebrew\npz update --install-method scoop\npz update --install-method release\npz update --install-method source\n```\n\nSupported values are `auto`, `homebrew`, `scoop`, `release`, and `source`.\n\n## Authentication\n\n```bash\npz login\n```\n\n## CLI reference\n\nIf the current profile uses `pz`, these are the core commands.\n\n### List projects\n```bash\npz project list\n```\n\n### Show one project\n```bash\npz project \u003Cproject-id>\n```\n\n### Browse project feed\n```bash\npz feed \u003Cproject-id>\n```\n\nUseful flags:\n- `--must-read`\n- `--since YYYY-MM-DD`\n- `--limit N`\n- `--json`\n- `--atom`\n\nExamples:\n```bash\npz feed \u003Cproject-id> --must-read --since 2026-03-01 --limit 5\npz feed \u003Cproject-id> --json\npz feed \u003Cproject-id> --atom\n```\n\nFeed output can include existing recommendation feedback markers:\n\n- `[↑]` upvote\n- `[↓]` downvote\n- `[★]` star\n\n### Read a canonical paper\n```bash\npz paper \u003Cpaper-id>\npz paper \u003Cpaper-id> --json\npz paper \u003Cpaper-id> --markdown\npz paper \u003Cpaper-id> --project \u003Cproject-id>\n```\n\n### Open a recommendation from one of your projects\n```bash\npz rec \u003Cproject-paper-id>\npz rec \u003Cproject-paper-id> --json\npz rec \u003Cproject-paper-id> --markdown\n```\n\n### Leave recommendation feedback\n```bash\npz feedback \u003Cproject-paper-id> upvote\npz feedback \u003Cproject-paper-id> star\npz feedback \u003Cproject-paper-id> downvote --reason not_relevant\npz feedback clear \u003Cproject-paper-id>\n```\n\n## Output and automation\n\n- Prefer `--json` for machine parsing.\n- `pz paper --markdown` only returns markdown when it is already prepared.\n- `pz rec --markdown` can queue markdown generation and prints a friendly retry message while it is still being prepared.\n- `--atom` returns a personal feed URL for feed readers.\n\n## Configuration\n\n```bash\nexport PZ_API_URL=\"https:\u002F\u002Fpaperzilla.ai\"\n```\n\n## References\n\n- Docs: https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli\n- Quickstart: https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli-getting-started\n- Repo: https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fpz\n\n## Agent operating procedure\n\n1. **Check the environment.** Confirm the research question, databases, date range and inclusion criteria.\n2. **Pin down the inputs.** Confirm formats, identifiers and parameters from the data or the user. Ask rather than guess any value that changes the result.\n3. **Run a small version first.** Run the search on one database with a narrow query and check that the results are relevant.\n4. **Execute the full task** using the instructions and references above.\n5. **Validate the result.** Every reference is retrieved from a real record with a resolvable identifier; counts and search strings are recorded.\n6. **Report.** State what was run (versions, commands, parameters), what was checked, and what is still uncertain.\n\n| If this happens | Do this |\n|---|---|\n| An API rate-limits or returns errors | Back off and retry, reduce the batch size, or switch database, and report the gap. |\n| A function, flag or endpoint in these instructions is missing in the installed version | Check the installed version's own documentation (`help()`, `--help`, official docs), adapt, and tell the user. Never invent an API. |\n| A required input, identifier or parameter is ambiguous | Ask the user, or state the assumption explicitly before running. |\n\n**Integrity rules**\n\n- Never fabricate results, parameters, identifiers, citations or statistics. If something cannot be run or verified, say so plainly.\n- Never summarize a paper you have not retrieved; never cite from memory.\n- Treat version-specific details here as possibly outdated: confirm them against the official documentation for the installed version.\n- Ask before actions that cost money, consume shared GPUs or cloud quota, touch personal or patient data, or cannot be undone.\n","# Paperzilla\n\nUse this skill when you want to chat with your agent about projects, recommendations, and canonical papers in Paperzilla.\n\n## What you can ask\n\n- \"Give me the latest recommendations from project X.\"\n- \"Open recommendation Y and explain why it matters.\"\n- \"Fetch canonical paper Z as markdown and summarize it.\"\n- \"Tell me how this paper is relevant to my research.\"\n- \"Show me the feed for project X.\"\n- \"Leave feedback on a recommendation.\"\n- \"Export this paper, recommendation, or feed as JSON.\"\n\nThis is the core Paperzilla skill. It gives your agent direct access to Paperzilla data, but it does not impose a workflow or external delivery integration.\n\n## Access method\n\nMost current profiles in this repo use the `pz` CLI.\n\nIf the current profile ships extra agent-specific instructions, follow those as well.\n\n## Install\n\n### macOS\n```bash\nbrew install paperzilla-ai\u002Ftap\u002Fpz\n```\n\n### Windows (Scoop)\n```bash\nscoop bucket add paperzilla-ai https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fscoop-bucket\nscoop install pz\n```\n\n### Linux\nUse the official Linux install guide:\n\n- https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli-getting-started\n\n### Build from source (Go 1.23+)\nSee the CLI repository for source builds:\n\n- https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fpz\n\n## Update\n\nCheck whether your CLI is up to date and get install-specific upgrade steps:\n\n```bash\npz update\n```\n\nIf detection is ambiguous, override it explicitly:\n\n```bash\npz update --install-method homebrew\npz update --install-method scoop\npz update --install-method release\npz update --install-method source\n```\n\nSupported values are `auto`, `homebrew`, `scoop`, `release`, and `source`.\n\n## Authentication\n\n```bash\npz login\n```\n\n## CLI reference\n\nIf the current profile uses `pz`, these are the core commands.\n\n### List projects\n```bash\npz project list\n```\n\n### Show one project\n```bash\npz project \u003Cproject-id>\n```\n\n### Browse project feed\n```bash\npz feed \u003Cproject-id>\n```\n\nUseful flags:\n- `--must-read`\n- `--since YYYY-MM-DD`\n- `--limit N`\n- `--json`\n- `--atom`\n\nExamples:\n```bash\npz feed \u003Cproject-id> --must-read --since 2026-03-01 --limit 5\npz feed \u003Cproject-id> --json\npz feed \u003Cproject-id> --atom\n```\n\nFeed output can include existing recommendation feedback markers:\n\n- `[↑]` upvote\n- `[↓]` downvote\n- `[★]` star\n\n### Read a canonical paper\n```bash\npz paper \u003Cpaper-id>\npz paper \u003Cpaper-id> --json\npz paper \u003Cpaper-id> --markdown\npz paper \u003Cpaper-id> --project \u003Cproject-id>\n```\n\n### Open a recommendation from one of your projects\n```bash\npz rec \u003Cproject-paper-id>\npz rec \u003Cproject-paper-id> --json\npz rec \u003Cproject-paper-id> --markdown\n```\n\n### Leave recommendation feedback\n```bash\npz feedback \u003Cproject-paper-id> upvote\npz feedback \u003Cproject-paper-id> star\npz feedback \u003Cproject-paper-id> downvote --reason not_relevant\npz feedback clear \u003Cproject-paper-id>\n```\n\n## Output and automation\n\n- Prefer `--json` for machine parsing.\n- `pz paper --markdown` only returns markdown when it is already prepared.\n- `pz rec --markdown` can queue markdown generation and prints a friendly retry message while it is still being prepared.\n- `--atom` returns a personal feed URL for feed readers.\n\n## Configuration\n\n```bash\nexport PZ_API_URL=\"https:\u002F\u002Fpaperzilla.ai\"\n```\n\n## References\n\n- Docs: https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli\n- Quickstart: https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli-getting-started\n- Repo: https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fpz\n\n## Agent operating procedure\n\n1. **Check the environment.** Confirm the research question, databases, date range and inclusion criteria.\n2. **Pin down the inputs.** Confirm formats, identifiers and parameters from the data or the user. Ask rather than guess any value that changes the result.\n3. **Run a small version first.** Run the search on one database with a narrow query and check that the results are relevant.\n4. **Execute the full task** using the instructions and references above.\n5. **Validate the result.** Every reference is retrieved from a real record with a resolvable identifier; counts and search strings are recorded.\n6. **Report.** State what was run (versions, commands, parameters), what was checked, and what is still uncertain.\n\n| If this happens | Do this |\n|---|---|\n| An API rate-limits or returns errors | Back off and retry, reduce the batch size, or switch database, and report the gap. |\n| A function, flag or endpoint in these instructions is missing in the installed version | Check the installed version's own documentation (`help()`, `--help`, official docs), adapt, and tell the user. Never invent an API. |\n| A required input, identifier or parameter is ambiguous | Ask the user, or state the assumption explicitly before running. |\n\n**Integrity rules**\n\n- Never fabricate results, parameters, identifiers, citations or statistics. If something cannot be run or verified, say so plainly.\n- Never summarize a paper you have not retrieved; never cite from memory.\n- Treat version-specific details here as possibly outdated: confirm them against the official documentation for the installed version.\n- Ask before actions that cost money, consume shared GPUs or cloud quota, touch personal or patient data, or cannot be undone.\n",{"name":5,"license":15,"metadata":51,"description":7},{"tags":52,"version":53,"category":54,"maintainer":55,"contributor":56},"paper recommendations, research feeds, literature monitoring","1.0","literature-review","Kalaris Labs","Paperzilla Inc","main","0da4485785ee599388900be50db1635489d53056",".agents\u002Fskills\u002Fkal-paperzilla","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6","https:\u002F\u002Fdisha6.6.thenitishkr.in\u002F","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh","www.thenitishkr","thenitishkr | AI • Cyber-security • Research\r\n","2026-11-08 03:33:25",{"source":8,"skillName":5,"commands":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add Tashima-Tarsh\u002FDisha6.6 --skill paperzilla",{"tool":72,"command":73},"bunx","bunx skills add Tashima-Tarsh\u002FDisha6.6 --skill paperzilla",{"tool":75,"command":76},"pnpm","pnpm dlx skills add Tashima-Tarsh\u002FDisha6.6 --skill paperzilla","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fkal-paperzilla\u002FSKILL.md",true,[],[81,109,133,157,182,206],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":90,"publishedAt":46},"01M6QRD07D4TGNDK6VJ4EHF8BV","youtube-full","Use when the user needs YouTube transcripts, video search, channel browsing, playlist extraction, or content monitoring. Trigger phrases: 'get the transcript for', 'search YouTube for', 'what are the latest videos on', 'list this playlist', 'monitor this channel', or any request involving a YouTube URL, video ID, or @handle. Do NOT use for downloading video or audio files, YouTube engagement data (likes, comments), or private\u002Fage-restricted videos.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fyoutube-full\u002FSKILL.md",[87],{"categoryNo":88,"categoryName":89,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",[91,92,93,94,95,45,96,97,98,99,100,101,102,103,104,105,28,106,107,108],"youtube full","youtube","full","transcript","search","data","Video","Audio","list","files","do","get","age","trigger","URL","browsing","request","youtube transcripts",{"skillNo":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":115,"publishedAt":46},"01M6QRCJ3112VYPA97YG7KGMC2","x-twitter-growth","X\u002FTwitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X\u002FTwitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fx-twitter-growth\u002FSKILL.md",[],[116,117,118,119,95,120,121,122,123,124,125,126,127,128,39,129,130,131,132,28],"twitter","x twitter growth","growth","research","content","engineering","plan","web search","competitors","analyze","engine","write","strategy","platform","grow","posting","competitive",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":140,"publishedAt":46},"01M6QRBN3EHQNJY42RERP7A149","write-a-skill","Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, build, or author a new skill.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwrite-a-skill\u002FSKILL.md",[139],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[141,127,142,143,144,145,146,147,39,148,149,57,150,151,152,153,31,154,155,156],"write a skill","github","create","https","productivity","matt pocock","direct","example","build","new skill","structure","new agent","resources","tree","progressive disclosure","author",{"skillNo":158,"name":159,"nameZh":6,"description":160,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":161,"categories":162,"keywords":163,"publishedAt":46},"01M6QRB6G8P33PNGAF9Y69EJ9T","wrap-up","Close out a launched Claude Managed Agent — recap every primitive the founder now owns, regenerate the single-file overview page, and suggest the next 1-2 upgrades. Use when the user says \"wrap up\", \"close this out\", \"what do I own now\", \"give me the summary\", \"recap the agent\", or when the orchestrator routes phase=wrap-up. primitives_inventory.py tables everything owned (agent, environment, session, memory, outcome, deployment); overview_page.py regenerates a self-contained .\u002Fmy-agent\u002Fagent-overview.html; upgrade_suggester.py ranks the next moves from recorded deferrals plus standing hardening steps. Companion to run-without-you; the last stop before phase=done.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwrap-up\u002FSKILL.md",[],[164,165,166,167,168,169,170,171,172,39,173,101,174,175,176,177,178,179,180,181],"wrap up","up","wrap","gemini","deployment","run","file","hardening","closeout","stop","upgrade","founder","close","companion","you","tables","directions","phase",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":189,"publishedAt":46},"01M6QRA5AYC1RBFZ39GTWGS3N8","workflow-builder","Design and write deterministic multi-agent workflow scripts (.js files in .claude\u002Fworkflows\u002F) for Claude Code's Workflow tool. Use when a user wants to build, create, author, scaffold, or run a custom Claude Code workflow, orchestrate sub-agents (fan-out, pipeline, loop, judge-panel), or automate a repeatable multi-step task across fresh-context agents.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fworkflow-builder\u002FSKILL.md",[188],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[190,191,192,193,194,143,169,195,196,197,198,199,127,200,100,201,202,203,204,205],"workflow","workflow builder","builder","design","workflows","code","orchestrate","pipeline","loop","multi-agent","context","across","fresh","scripts","judge","claude code workflow",{"skillNo":207,"name":208,"nameZh":6,"description":209,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":210,"categories":211,"keywords":212,"publishedAt":46},"01M6QR7QMCZESKQA0ERW1E657M","weekly-review","Use when someone wants to run a weekly review, close open loops, audit stalled projects and commitments, get their system back to trusted, restart a lapsed review habit, or says \"\u002Fcs:weekly-review\". Walks David Allen's three-phase loop — GET CLEAR, GET CURRENT, GET CREATIVE — with deterministic scripts that inventory open loops, gate the checklist with named gaps, and score commitment health 0-100.","https:\u002F\u002Fgithub.com\u002FTashima-Tarsh\u002FDisha6.6\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fweekly-review\u002FSKILL.md",[],[36,213,214,215,216,44,217,218,219,198,42,220,221,222,223,27,102,224,225,181],"weekly review","weekly","deterministic scripts","reflect","inventory","open","team","project-management","scanner","conversation","back","sprint","cadence"]