調査、論文、教育、資格学習（4,428 件）
Prevent MSHA citations at cement plants before the inspector arrives. Free CementOps Compliance Suite skill. 30 CFR Part 56 hazard classification, stop-work authority, citation defense strategies, walk-through prep checklists, and rebuttal letter drafting.
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。
Generates structured case briefs from judicial opinions. Use when the user provides a court opinion and needs a case brief, case summary, or distillation of a judicial decision for legal research.
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。
中国财税法律案例与法规检索助手。当用户需要检索税务相关判例、行政复议决定、税收法规政策、国家税务总局公告、各地税务实践案例，或需要查找类似税务争议案例时，应使用本 Skill。适用于税务争议应对、税务筹划合规性验证、法律研究等场景。
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Citation format and verification protocol for legal documents that draw on Bates-stamped source records. Defines the bracket citation format, multi-source citation rules, quotation handling, the verification pass that runs before output, and the [UNVERIFIED] flag protocol. Use this skill any time another skill produces a legal work product that cites Bates-stamped pages, including medical chronologies, deposition summaries, demand letters, case briefs, and discovery responses. Also use any time the user asks how to format a citation or verify that a claim is supported by the source.
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Drafts time-limited policy-limits demand letters that create an opportunity-to-settle record for third-party bad faith exposure. Use when the user mentions time-limited demand, policy limits demand, bad faith notice, Stowers demand, civil remedy notice, failure to settle demand, excess exposure letter, insurer settlement opportunity, or needs help with acceptance mechanics for a policy-limits offer. Also trigger for Georgia O.C.G.A. § 9-11-67.1 compliance, Florida statutory bad faith prerequisites, or documenting insurer refusal to settle.
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。
Produces structured aviation law summaries with Bluebook citations covering U.S. and international regulatory frameworks, treaties, and case law. Use when drafting an aviation law summary, FAA/DOT/TSA compliance overview, Montreal/Warsaw Convention liability analysis, air service agreement review, accident liability synopsis, or aviation regulatory research memo.
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法律研究备忘录·输出法律检索与风险分析的研究备忘录·触发：研究备忘录、法律检索、风险分析
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。
Verifies legal citations and retrieves source material using the case.dev Legal Research API and CLI. Use when validating a citation, confirming a case exists, pulling source text, finding related authorities, extracting citations from a brief or opinion, or building a filing-ready authority check without branded citator terminology.
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。
Generates structured U.S. art law summaries with Bluebook citations, doctrinal analysis, and stakeholder guidance. Use when researching art law precedents, advising on art transactions, preparing for art market litigation, or surveying a doctrine or statute across ownership, provenance, copyright, VARA, NAGPRA, authentication, NFTs, or AI-generated art.
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Drafts and analyzes U.S. appellate amicus curiae briefs for non-parties with Rule 29/Rule 37 compliance, unique perspective development, and Bluebook-ready citations. Use when asked to draft or review an amicus brief, friend-of-the-court brief, non-party brief, or anything involving FRAP 29, Supreme Court Rule 37, or appellate amicus practice.
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Drafts the appellant's opening brief challenging a lower court decision in federal or state appellate courts. Covers issue selection, standard of review framing, record citation, argument structure, and procedural compliance under FRAP 28/32 or state equivalents. Use when preparing an appellant's opening brief, selecting appellate issues, structuring appellate arguments, or demonstrating reversible error on appeal.
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Generates a cross-referenced U.S. nonprofit annual filing package for state charity-bureau registration. Produces Full Compliance Package, Form-Field Mode, or Executive Briefing with source citations, disclosure cross-checks, and filing instructions. Trigger when the user drafts annual report submissions, renewal packets, penalty-of-perjury certifications, or charity bureau filings. Also trigger on Form RRF-1, CHAR500, BCO-10, nonprofit annual report, charity registration renewal, or fundraiser disclosure attachments.
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Produces structured U.S. adoption-law summaries for litigation and client-facing use. Use when asked to summarize adoption law, draft pre-filing research briefs, create jurisdiction-specific issue memoranda, or prepare client education documents. Triggers: adoption summary, domestic adoption, intercountry adoption, Hague adoption, foster care adoption, TPR in adoption, stepparent/relative adoption, post-adoption rights.
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Persistent memory patterns for moflo agents — session memory, long-term knowledge, pattern learning, and cross-session context via moflo's node:sqlite + HNSW vector store. Use when building stateful agents or assistants that need to remember across runs.
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Adaptive learning for moflo agents via ReasoningBank: trajectory storage, verdict judgment, memory distillation, consolidation, and MMR retrieval. Use when building agents that should improve from experience across runs.
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Deliberate session retrospective — look back over what you just did, distill the durable, reusable lessons (not session trivia), and write them to the learnings memory namespace, deduped against what is already stored. Use at the END of a meaningful chunk of work to capture high-signal lessons worth keeping long-term. The curated counterpart to moflo's passive session-continuity capture.
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Verify, customize, or opt out of moflo's AUTOMATIC durable-learning sharing across git worktrees / Conductor workspaces on one machine. As of the worktree-auto-sharing change this is on by default — learnings converge across a repo's worktrees with no setup. Use when the user asks "is memory shared across my worktrees?", "where are my worktree learnings stored?", "turn off worktree memory sharing", "share learnings across my separate clones", or "point my worktrees at a custom store". For a team or cross-machine (git-tracked) sharing, use /memory-team instead.
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Guided setup for sharing moflo's durable learnings through a git-tracked artifact — for a whole TEAM on one repo, OR for one person across several MACHINES (a team of one). Use when the user says "share learnings with my team", "commit our moflo memory", "sync memory across my laptop and desktop", "set up memory.team_artifact", "auto-export learnings on every PR", or "learnings.jsonl keeps conflicting". Installs a pre-commit hook so the artifact rides along in every commit. An existing learnings.jsonl moves to the conflict-free layout automatically. For many worktrees on ONE machine, use /memory-worktree.
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Structured multi-hop web research with explicit confidence gating — plan the inquiry, search (WebSearch/WebFetch), score your own confidence, and keep digging until the answer is well-supported or a hop cap is hit, then emit a cited synthesis. Learns across sessions by storing each research case to memory and reusing prior strategies. Use when a question needs more than one search — comparisons, current-best-practice questions, anything where a single lookup leaves you unsure.
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Audit and curate the `learnings` memory namespace — the one namespace nothing re-derives, so the only one that rots. Runs moflo's mechanical audit to nominate stale, unused, and near-duplicate entries, then decides entry by entry whether to keep, retire, compress, or merge, and propagates the result to the shared artifact. Use when memory search returns stale or duplicated hits, after retiring a big chunk of work whose supporting entries went stale with it, or as a periodic pass once the namespace passes a few hundred entries.
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Use when creating publication-grade scientific figure images or prompts, including graphical abstracts, mechanism diagrams, anatomy diagrams, surgical step figures, experimental workflows, pathology mechanisms, device principles, and structured paper illustrations. If the user asks to generate the image, use ChatGPT image generation.
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Refine an existing implementation plan with a second iteration. Re-analyzes the codebase for gaps, missing tasks, and wrong dependencies. Use after /unikit-plan or to improve a /unikit-fix plan, or when the user says "improve the plan", "what's wrong with the plan", or "update the plan from research". Optional +check flag validates refinements via a fresh-context subagent.
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。
Interactive Swift/iOS tutor with two modes. Classic explains first, Mastery uses a predict-first Core Loop with gates.
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。
Saves learning notes from the current conversation. Classic mode makes concise notes, Mastery mode keeps detailed training artifacts.
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。