Check an educational practice or task for cultural bias, WEIRD assumptions, and cross-cultural validity. Use when adapting resources for diverse contexts or questioning universal claims.
日本語の概要は準備中です。原文の説明を表示しています。
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Check an educational practice or task for cultural bias, WEIRD assumptions, and cross-cultural validity. Use when adapting resources for diverse contexts or questioning universal claims.
日本語の概要は準備中です。原文の説明を表示しています。
Design a source evaluation protocol using lateral reading and credibility checks for digital information. Use when students need to evaluate websites, online sources, or social media claims.
日本語の概要は準備中です。原文の説明を表示しています。
Design a fact-checking protocol for AI-generated text, extending SIFT with AI-specific adaptations for hallucination detection. Use when students need to verify AI claims and citations.
日本語の概要は準備中です。原文の説明を表示しています。
Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence. Use when students know a subject well enough to evaluate AI claims about it.
日本語の概要は準備中です。原文の説明を表示しています。
Run the adversarial verification loop — implement, then hand the change to a fresh checker that did not write it, fix what it finds, and re-dispatch until APPROVE. Use before claiming any behavioural change is done, and on requests like "review loop", "adversarial review", "independent review", "get this verified", "is this actually done", "maker checker", "second pair of eyes on this change". Not for prose, docs or typo edits.
日本語の概要は準備中です。原文の説明を表示しています。
Use when verifying build/test/lint before commit, PR, or completion claims. Runs verification pipeline in fresh subagent context with auto-repair. Triggers on /handoff-verify, pre-commit check, build verification, test validation.
日本語の概要は準備中です。原文の説明を表示しています。
Start (or restart) a local Temps control plane built from this checkout, and the web dev server (`bun dev`) in `<checkout>/web`. Invoke when the user says "start temps", "restart temps", "launch the server", "kill and restart temps", or asks to bring the local server up after backend changes. Ports, database and data dir are allocated PER CHECKOUT (a "slot") so several worktrees/branches run side by side without killing each other or corrupting each other's schema — the first checkout you start in claims slot 0 (the familiar `:8080` / `:3000`); every other worktree gets its own slot and its own `temps_s<N>` database. Uses the `fast` cargo profile (release semantics, no debug symbols, parallel codegen) for quick rebuilds. Pass `split` (e.g. "start temps split", "/start-temps split") to launch the two-process proxy/console topology for testing that feature.
日本語の概要は準備中です。原文の説明を表示しています。
Keep the ComfyUI sidebar panel node-pack (comfyui-agent-panel) in step with the orchestrator after comfyui-mcp updates. Use this whenever the orchestrator was just updated (install_comfyui (action:"self_update"), npm i -g comfyui-mcp, a new version in the ENVIRONMENT line), when a panel/bridge command fails in a way that smells like version drift ("panel is too old", a graph_/ui_ command the panel doesn't implement, a feature that works in the docs but not in the sidebar), or when the user asks to update/pin/unpin the panel. It checks the installed panel version against what THIS orchestrator build needs, RESPECTS an explicit version pin (warn-only, never move a pinned user), offers a clear way to unset the pin, runs the sync through the verified install_comfyui(action:'panel') path, and reports the version RE-READ from disk. Never claim a sync that did not happen.
日本語の概要は準備中です。原文の説明を表示しています。
Query a user's TrailSnap photo library through scoped MCP tools to find photos, reconstruct memories, build person timelines, create evidence-backed narratives, or propose an album plan for explicit in-app approval. Use for the user's own TrailSnap library; never claim a proposal was executed or changed the library.
日本語の概要は準備中です。原文の説明を表示しています。
Turn a repo, product page, or update into a recording-ready video script in a receipts-first format - verifies every claim against live sources, then writes timestamped VO + on-screen direction with a plain-language glossary, assets checklist, anti-tells, and a verify-before-recording list
日本語の概要は準備中です。原文の説明を表示しています。
Draft, audit, or minimally revise English- or Chinese-language academic prose to reduce formulaic, vacuous, mechanically repetitive, or process-leaking language while preserving claims, evidence strength, logical relations, manuscript-wide terminology identity, document-level pattern variation, and scholarly register. Use for papers, abstracts, grants, cover letters, and reviewer responses when the user asks to de-AI, humanize, audit AI-like phrasing, or rewrite text without changing meaning. English is primary; Chinese is supported. Not for detector evasion, policy circumvention, pure translation, non-academic copy, or adding facts, citations, examples, or author experiences that the source does not contain.
日本語の概要は準備中です。原文の説明を表示しています。
Run verification commands and confirm output before claiming success
日本語の概要は準備中です。原文の説明を表示しています。
Read one conversation window and return every independently mutable claim it states, one record each, with who or what it is about, whether it happened or stands, and the words that carry its time. Used by the memory extraction model on every conversation window; the engine resolves dates, validates keys, and repairs format.
日本語の概要は準備中です。原文の説明を表示しています。
Review and revise academic papers with a senior-reviewer workflow. Use when an AI research/coding agent needs to work on an existing paper draft, PDF, LaTeX project, Word document, markdown manuscript, rejected paper, or paper idea that already has a concrete direction, and produce: paper maps, weakness audits, insight/novelty checks, reviewer objections, claim-experiment matrices, theory/proof checks, experiment plans, statistics/reproducibility audits, figure/table audits, ethics/compliance checks, revision plans, detailed section edits, or final submission checklists.
日本語の概要は準備中です。原文の説明を表示しています。
实习.skill / get-job.skill:从岗位调研、简历改写到分轮次面试准备的全流程求职 skill。适合找工作、投实习、校招、秋招、春招、暑期实习、社招、跳槽、转行、跨专业求职、留学生求职,以及产品经理、运营、市场、咨询、AI 产品、AI Coding、数据分析、技术岗等目标岗位准备。 核心能力:① WebSearch 调研公司、岗位 JD、业务线、竞品、面经、招聘流程和隐性门槛;② 按目标岗位反向定位简历,做 JD 匹配、ATS 关键词、经历筛选、STAR/CAR 改写、可迁移能力翻译、docx 简历生成;③ 按真实轮次准备面试,覆盖一面/业务面/专业面/主管面/HR 面/recruiter screen 等已确认或高置信轮次,逐条深挖简历 bullet、项目逐字稿、自我介绍、表达训练、模拟面试、反问清单、面后复盘题库。 适用于「改简历」「简历优化」「简历润色」「简历匹配 JD」「求职简历」「投递前改简历」「按岗位改简历」「准备面试」「面试准备」「面经分析」「模拟面试」「自我介绍」「项目经历怎么讲」「简历被追问怎么办」「双非拿大厂 offer」「背景不对口怎么办」「AI 产品实习」「运营实习」「产品经理校招」等场景。 质量保障:不编造经历、不改背调硬信息;所有强 claim 做证据化审计;搜索源按市场和 A/B/C/D 分级;轮次不写死;最终交付前必须跑质量闸门和覆盖矩阵,避免漏 bullet、标签泄漏和过度包装。
日本語の概要は準備中です。原文の説明を表示しています。
Dung khi leader phai DUYET output CHU cua team truoc khi trien khai — content brief co dung insight va dung pillar khong, CTA co ro khong; ads copy va creative co proof cho claim khong, dung tone khong, hook co nam trong 125 ky tu dau khong; verdict Approve / Revise / Redo kem feedback cu the. Kich hoat khi user nhac 'duyet brief', 'review ads copy', 'duyet content', 'check truoc khi chay', 'bai nay dang duoc chua', 'em viet the nay sep xem giup', 'duyet output team'. Khong dung cho — cham diem THIET KE va hinh anh thi dung skill 47-design-review; danh gia nang luc nguoi lam thi dung skill 65-team-performance-review; can nhieu goc nhin phan bien cho mot huong chien luoc thi dung skill 72-hoi-dong-marketing.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a leader must review or approve TEXT-based team output before it ships — content briefs checked for angle, pillar, and CTA, ad copy and creative checked for substantiated claims, on-brand tone, a hook inside the first 125 characters, and platform policy, ending in an Approve, Revise, or Redo verdict with point-by-point feedback. Trigger on 'review this brief', 'approve the ad copy', 'check ads before launch', 'review team output', 'is this good enough to publish', 'my team keeps sending me drafts'. Not for — reviewing a visual design, see `47-design-review-global`; evaluating a person over a period, see `65-team-performance-review-global`; writing the copy yourself, see `05-ad-copy-global`.
日本語の概要は準備中です。原文の説明を表示しています。
Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required - returns preview URL and claimable deployment link.
日本語の概要は準備中です。原文の説明を表示しています。
Strategy Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
日本語の概要は準備中です。原文の説明を表示しています。
Sales, GTM & Marketing Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
日本語の概要は準備中です。原文の説明を表示しています。
Trading Super Intelligence Team. Named real-world personas across 8 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
日本語の概要は準備中です。原文の説明を表示しています。
Risk & Compliance (GRC) Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
日本語の概要は準備中です。原文の説明を表示しています。
Data & Analytics Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
日本語の概要は準備中です。原文の説明を表示しています。
Grilling session that mines the user for fragments — heterogeneous nuggets of writing (claims, vignettes, sharp sentences, half-thoughts) — and appends them to a single document as raw material for a future article. Use when the user wants to develop ideas before imposing structure, or mentions "fragments", "ideate", or "raw material" for writing.
日本語の概要は準備中です。原文の説明を表示しています。