[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MHC84AJQQN7B3HTJA8QMX8":3,"skill-same:01M6MHC84AJQQN7B3HTJA8QMX8":68},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":13,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M6MHC84AJQQN7B3HTJA8QMX8","weekly-review",null,"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.","JiayiV\u002Fquestion_mixing","JiayiV","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54466889?v=4","01M6JFJYYMRZ3QRGP9339JNQ2K","01M6JFJZ35KB0QVT50NAHPJA7G",0,"MIT","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fpublic-02-claude-skills-main-gemini-skills-weekly-review-skill-c7ff54f6\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"weekly","weekly review","review","projects","cadence","sprint","get","project","back","conversation","scanner","project-management","loop","team","open","inventory","feeds","reflect","deterministic scripts","notes","2026-11-10 10:12:30",false,"---\nname: weekly-review\ndescription: 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.\nargument-hint: \"[optional: directory or notes to review]\"\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  build_pattern: \"Path-B ritual skill — GTD weekly-review loop preserved + deterministic scanner\u002Fgate\u002Fauditor scripts added\"\n  distinct_from: \"reflect (per-conversation reflection, not a recurring cadence); capture (intake that feeds the system, not the review that maintains it); project-management sprint retros (team ceremony, not a personal trusted-system audit)\"\n---\n\n# Weekly Review — GTD Loop → Trusted System\n\n> **Portability:** Reasoning-led skill with 3 stdlib Python scripts. No external APIs, no LLM calls\n> in scripts. Works in Claude Code CLI and Claude.ai web. The scripts do the inventory and the\n> gating; Claude and the user do the thinking.\n\n## What this does\n\nA personal system is only trustworthy if it gets reviewed — David Allen calls the weekly review\nthe critical success factor of the whole method. This skill walks the three phases in order and\nrefuses to call the review COMPLETE while any of the five mandatory GET CURRENT steps is\nunaccounted for. Evidence first: scan the workspace for open loops before asking the user to\nrecall anything, because their memory is exactly what the method says not to trust.\n\n## Phase 1 — GET CLEAR (steps 1-3)\n\nCollect loose inputs, process every inbox to zero (clarify, don't do — anything over two minutes\nbecomes a next action), then a mind sweep to empty the head. Start with evidence:\n\n```bash\n# Inventory open loops: unchecked checkboxes, TODO\u002FFIXME markers, stale files\npython scripts\u002Fopen_loop_scanner.py --dir ~\u002Fnotes --stale-days 14\n```\n\nRoute every loop found to a list — next action, waiting-for, someday\u002Fmaybe, or trash.\n\n## Phase 2 — GET CURRENT (steps 4-8, all mandatory)\n\nReview the next-action lists (mark done, prune dead), the previous calendar (missed commitments\nbecome actions), the upcoming calendar (prepare, don't react), the waiting-for list (chase or\ndrop), and every project for exactly one next action. Then gate honestly:\n\n```bash\npython scripts\u002Fweekly_review_gate.py --list   # show the numbered ten-step checklist\npython scripts\u002Fweekly_review_gate.py --done \"1,2,3,4,5,6,7,8\" --skip \"9:no someday list yet\"\n```\n\nThe gate computes completion %, names every missing step, and exits 0 (COMPLETE) or 2\n(INCOMPLETE). An unskipped missing GET CURRENT step **always** forces INCOMPLETE.\n\n## Phase 3 — GET CREATIVE (steps 9-10)\n\nReview someday\u002Fmaybe (activate, keep, or kill), capture new ideas while the head is clear, then\naudit the whole commitment portfolio:\n\n```bash\npython scripts\u002Fcommitment_auditor.py --input commitments.json\n```\n\nFlags STALLED \u002F NO-NEXT-ACTION \u002F SOMEDAY-CANDIDATE, prints the health formula with the score, and\nissues HEALTHY \u002F DRIFTING \u002F OVERCOMMITTED. End the review with one named next action.\n\n## Scripts\n\n| Script | Role |\n|---|---|\n| `scripts\u002Fopen_loop_scanner.py` | Inventories unchecked checkboxes, TODO\u002FFIXME markers, and stale files across a directory; grouped counts + per-file locations; `--json`. |\n| `scripts\u002Fweekly_review_gate.py` | The ten-step three-phase checklist; `--done`\u002F`--skip`\u002F`--list`; completion % + named gaps → COMPLETE (exit 0) \u002F INCOMPLETE (exit 2). |\n| `scripts\u002Fcommitment_auditor.py` | Flags stalled and actionless commitments, computes the 0-100 health score with the formula shown → HEALTHY \u002F DRIFTING \u002F OVERCOMMITTED. |\n\n## References\n\n- [`references\u002Fgtd_weekly_review_canon.md`](references\u002Fgtd_weekly_review_canon.md) — why the weekly review is the critical success factor; the three-phase structure; cadence discipline (7 sources)\n- [`references\u002Fopen_loop_psychology.md`](references\u002Fopen_loop_psychology.md) — Zeigarnik effect, plan-making research, attention residue: why open loops tax attention (6 sources)\n- [`references\u002Freview_cadence_design.md`](references\u002Freview_cadence_design.md) — horizons of focus, habit anchoring, timeboxing, failure modes, restart-after-lapse (7 sources)\n\n## Assets\n\n- [`assets\u002Fweekly_review_checklist.md`](assets\u002Fweekly_review_checklist.md) — fillable three-phase checklist\n- [`assets\u002Fexample_weekly_review.md`](assets\u002Fexample_weekly_review.md) — a full worked review (scan → checklist → gate → audit → next action)\n\n## Rules\n\n- All five GET CURRENT steps are mandatory; skip only with a stated reason, and the gate still names it.\n- Never self-certify — the gate issues the verdict; relay its exit code, don't soften it.\n- Process, don't do: during the review, anything over two minutes becomes a next action, not a detour.\n- Timebox 60-90 minutes; past two hours, gate what's done honestly and schedule the remainder.\n- A lapsed habit restarts with a shorter pass and zero guilt — a review is maintenance, not judgment.\n\n## Distinct From (don't reach for the wrong sibling)\n\n- **`productivity\u002Freflect`** — reflects on one conversation or piece of work, once. The weekly review is a recurring cadence over the whole system.\n- **`productivity\u002Fcapture`** — the intake funnel (brain dump → actions). Capture feeds the system; this review keeps it trusted.\n- **`project-management` sprint retros** — a team ceremony about a shared iteration. This is a personal trusted-system audit.\n\n---\n\n**Version:** 1.0.0 · **Build pattern:** Path-B ritual skill — GTD weekly-review loop preserved + deterministic gate\u002Fscanner\u002Fauditor scripts added.\n","# Weekly Review — GTD Loop → Trusted System\n\n> **Portability:** Reasoning-led skill with 3 stdlib Python scripts. No external APIs, no LLM calls\n> in scripts. Works in Claude Code CLI and Claude.ai web. The scripts do the inventory and the\n> gating; Claude and the user do the thinking.\n\n## What this does\n\nA personal system is only trustworthy if it gets reviewed — David Allen calls the weekly review\nthe critical success factor of the whole method. This skill walks the three phases in order and\nrefuses to call the review COMPLETE while any of the five mandatory GET CURRENT steps is\nunaccounted for. Evidence first: scan the workspace for open loops before asking the user to\nrecall anything, because their memory is exactly what the method says not to trust.\n\n## Phase 1 — GET CLEAR (steps 1-3)\n\nCollect loose inputs, process every inbox to zero (clarify, don't do — anything over two minutes\nbecomes a next action), then a mind sweep to empty the head. Start with evidence:\n\n```bash\n# Inventory open loops: unchecked checkboxes, TODO\u002FFIXME markers, stale files\npython scripts\u002Fopen_loop_scanner.py --dir ~\u002Fnotes --stale-days 14\n```\n\nRoute every loop found to a list — next action, waiting-for, someday\u002Fmaybe, or trash.\n\n## Phase 2 — GET CURRENT (steps 4-8, all mandatory)\n\nReview the next-action lists (mark done, prune dead), the previous calendar (missed commitments\nbecome actions), the upcoming calendar (prepare, don't react), the waiting-for list (chase or\ndrop), and every project for exactly one next action. Then gate honestly:\n\n```bash\npython scripts\u002Fweekly_review_gate.py --list   # show the numbered ten-step checklist\npython scripts\u002Fweekly_review_gate.py --done \"1,2,3,4,5,6,7,8\" --skip \"9:no someday list yet\"\n```\n\nThe gate computes completion %, names every missing step, and exits 0 (COMPLETE) or 2\n(INCOMPLETE). An unskipped missing GET CURRENT step **always** forces INCOMPLETE.\n\n## Phase 3 — GET CREATIVE (steps 9-10)\n\nReview someday\u002Fmaybe (activate, keep, or kill), capture new ideas while the head is clear, then\naudit the whole commitment portfolio:\n\n```bash\npython scripts\u002Fcommitment_auditor.py --input commitments.json\n```\n\nFlags STALLED \u002F NO-NEXT-ACTION \u002F SOMEDAY-CANDIDATE, prints the health formula with the score, and\nissues HEALTHY \u002F DRIFTING \u002F OVERCOMMITTED. End the review with one named next action.\n\n## Scripts\n\n| Script | Role |\n|---|---|\n| `scripts\u002Fopen_loop_scanner.py` | Inventories unchecked checkboxes, TODO\u002FFIXME markers, and stale files across a directory; grouped counts + per-file locations; `--json`. |\n| `scripts\u002Fweekly_review_gate.py` | The ten-step three-phase checklist; `--done`\u002F`--skip`\u002F`--list`; completion % + named gaps → COMPLETE (exit 0) \u002F INCOMPLETE (exit 2). |\n| `scripts\u002Fcommitment_auditor.py` | Flags stalled and actionless commitments, computes the 0-100 health score with the formula shown → HEALTHY \u002F DRIFTING \u002F OVERCOMMITTED. |\n\n## References\n\n- [`references\u002Fgtd_weekly_review_canon.md`](references\u002Fgtd_weekly_review_canon.md) — why the weekly review is the critical success factor; the three-phase structure; cadence discipline (7 sources)\n- [`references\u002Fopen_loop_psychology.md`](references\u002Fopen_loop_psychology.md) — Zeigarnik effect, plan-making research, attention residue: why open loops tax attention (6 sources)\n- [`references\u002Freview_cadence_design.md`](references\u002Freview_cadence_design.md) — horizons of focus, habit anchoring, timeboxing, failure modes, restart-after-lapse (7 sources)\n\n## Assets\n\n- [`assets\u002Fweekly_review_checklist.md`](assets\u002Fweekly_review_checklist.md) — fillable three-phase checklist\n- [`assets\u002Fexample_weekly_review.md`](assets\u002Fexample_weekly_review.md) — a full worked review (scan → checklist → gate → audit → next action)\n\n## Rules\n\n- All five GET CURRENT steps are mandatory; skip only with a stated reason, and the gate still names it.\n- Never self-certify — the gate issues the verdict; relay its exit code, don't soften it.\n- Process, don't do: during the review, anything over two minutes becomes a next action, not a detour.\n- Timebox 60-90 minutes; past two hours, gate what's done honestly and schedule the remainder.\n- A lapsed habit restarts with a shorter pass and zero guilt — a review is maintenance, not judgment.\n\n## Distinct From (don't reach for the wrong sibling)\n\n- **`productivity\u002Freflect`** — reflects on one conversation or piece of work, once. The weekly review is a recurring cadence over the whole system.\n- **`productivity\u002Fcapture`** — the intake funnel (brain dump → actions). Capture feeds the system; this review keeps it trusted.\n- **`project-management` sprint retros** — a team ceremony about a shared iteration. This is a personal trusted-system audit.\n\n---\n\n**Version:** 1.0.0 · **Build pattern:** Path-B ritual skill — GTD weekly-review loop preserved + deterministic gate\u002Fscanner\u002Fauditor scripts added.\n",{"name":5,"license":14,"metadata":43,"description":7,"argument-hint":47},{"version":44,"build_pattern":45,"distinct_from":46},"1.0.0","Path-B ritual skill — GTD weekly-review loop preserved + deterministic scanner\u002Fgate\u002Fauditor scripts added","reflect (per-conversation reflection, not a recurring cadence); capture (intake that feeds the system, not the review that maintains it); project-management sprint retros (team ceremony, not a personal trusted-system audit)","[optional: directory or notes to review]","main","068c2486ccc0f8d200a3db4d21ec137064eda3b4","skills\u002Fpublic-02-claude-skills-main-gemini-skills-weekly-review-skill-c7ff54f6","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing","https:\u002F\u002Fgithub.com\u002FJiayiV","2026-08-25 16:30:52",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add JiayiV\u002Fquestion_mixing --skill weekly-review",{"tool":60,"command":61},"bunx","bunx skills add JiayiV\u002Fquestion_mixing --skill weekly-review",{"tool":63,"command":64},"pnpm","pnpm dlx skills add JiayiV\u002Fquestion_mixing --skill weekly-review","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fpublic-02-claude-skills-main-gemini-skills-weekly-review-skill-c7ff54f6\u002FSKILL.md",true,[],[69,93,120,153,181,216],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":73,"categories":74,"keywords":75,"publishedAt":38},"01M6NN9PJS9NHWPDG4QP93BP8F","webmcpify","Make a web app agent-ready — propose a WebMCP tool manifest, integrate, verify in a real browser, heal; unrelated code stays untouched. Use for \"webmcpify\", \"add WebMCP\", or \"expose app actions to AI agents\".","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fwebmcpify\u002FSKILL.md",[],[71,76,77,78,37,79,80,81,82,83,33,84,85,86,87,88,89,90,91,92],"github","ai agents","web","code","browser","https","actions","manifest","verify","tool","use","ready","unrelated","app","scope","for","webmcp",{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":97,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":38},"01M6NN6KZE5RBN6NGHN2WXV1RE","vardoger-analyze","Use when the user asks to personalize the GitHub Copilot CLI assistant, adapt Copilot to their style, use vardoger, or analyze their Copilot CLI conversation history. Reads the local session directory at `~\u002F.copilot\u002Fsession-state\u002F`, extracts recurring preferences and conventions, and writes a fenced personalization block into `~\u002F.copilot\u002Fcopilot-instructions.md`. Runs entirely on the user's machine via the local `vardoger` CLI (`pipx install vardoger`); no network calls and no uploads. Triggers: 'personalize my copilot', 'analyze my copilot history', 'tailor copilot to me', 'run vardoger', 'update my copilot instructions from history', 'make copilot learn my style'.","Apache-2.0","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fvardoger-analyze\u002FSKILL.md",[],[101,102,103,104,105,106,107,108,109,110,111,112,27,113,114,115,116,117,118,119],"vardoger analyze","analyze","directory","cli","github copilot","copilot","run","update","learn","network","my style","install","me","local","github copilot cli","pipx","my","at","copilot instructions",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":134,"publishedAt":38},"01M6NN3CZGQP3XAJ04BM1NNYGT","transloadit-media-processing","Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS\u002FMP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Ftransloadit-media-processing\u002FSKILL.md",[126,131],{"categoryNo":127,"categoryName":128,"taxonomyType":129,"taxonomyTypeDesc":130},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":132,"categoryName":133,"taxonomyType":129,"taxonomyTypeDesc":130},"01JBSEEDCAT000000000000023","Skill与智能体开发",[135,136,137,138,139,140,141,142,143,144,145,146,147,86,148,149,150,151,91,152],"transloadit media processing","Media","media processing","processing","MCP","mcp server","documents","subtitles","pipeline","ocr","Video","Audio","mp4","images","files","transformation","free","hls",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":157,"categories":158,"keywords":162,"publishedAt":38},"01M6NN28E92F9GH4WFYQ2H1Y15","terraform-azurerm-set-diff-analyzer","Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fterraform-azurerm-set-diff-analyzer\u002FSKILL.md",[159],{"categoryNo":160,"categoryName":161,"taxonomyType":129,"taxonomyTypeDesc":130},"01JBSEEDCAT000000000000011","运维与部署",[163,164,165,166,167,168,169,170,171,86,172,173,174,175,176,177,178,179,180,91],"terraform","SET","terraform azurerm set diff analyzer","diff","analyzer","diffs","azure","gateway","firewall","only","resource changes","provider","resources","load balancer","attributes","front","load","balancer",{"skillNo":182,"name":183,"nameZh":6,"description":184,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":185,"categories":186,"keywords":198,"publishedAt":38},"01M6NN1QMH2TDYWTH3XY3N5XPV","technical-job-search","Use this skill when a software engineer asks for help with job search tasks: parsing or analyzing a job description, tailoring a CV\u002Fresume, writing a cover letter, evaluating a job offer, or drafting a post-interview follow-up email. Do not activate for general career advice unrelated to an active job search action.","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Ftechnical-job-search\u002FSKILL.md",[187,190,195],{"categoryNo":188,"categoryName":189,"taxonomyType":129,"taxonomyTypeDesc":130},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":191,"categoryName":192,"taxonomyType":193,"taxonomyTypeDesc":194},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",{"categoryNo":196,"categoryName":197,"taxonomyType":193,"taxonomyTypeDesc":194},"01JBSEEDCAT000000000000038","人力资源",[199,200,201,202,203,204,205,206,102,207,86,208,209,210,211,212,213,214,91,215],"search","Job Search","technical job search","technical","writing","tasks","email","parsing","interview","up","engineer","general","activate","do","task","cv","letter",{"skillNo":217,"name":218,"nameZh":6,"description":219,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":220,"categories":221,"keywords":222,"publishedAt":38},"01M6NMZFA67XYS1GS09WT42235","steno-mode","Shorthand-first response compression that cuts ~40% of response tokens while preserving technical precision and exact literals. Use when the user says \"steno mode\", \"shorthand mode\", \"compressed responses\", \"token reduction\", \"brief structured output\", or invokes \u002Fsteno. Supports four compression levels: lite, brief, court, machine. Do not trigger for requests needing polished prose such as onboarding\u002Ftutorial content, stakeholder or customer-facing copy, or teaching-focused explanations.","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fsteno-mode\u002FSKILL.md",[],[223,224,225,226,227,202,228,86,212,229,230,231,232,233,234,235,236,237,91,238],"steno mode","mode","customer","brief","first","tutorial","teaching","tokens","as","trigger","structured output","machine","output","court","requests","response compression"]