This skill should be used when the user asks about "theme", "controlling idea", "thematic argument", "moral argument", "thematic arc", "flat arc", "negative arc", "the lie", "antagonist design", "motif", "symbolism", "theme audit", or wants to plan, track, or revise the thematic layer of a story, including the lie, truth, ghost-wound, and arc-type fields of a character file. NOT for finding or testing a story premise (use premise-workshop), or a character's profile, relationships, or "character arc" record (use character-management).
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。
danjdewhurst/story-skills☆ 3052026年10月12日 更新
Handles GDPR Article 21 right to object to processing, including compelling legitimate grounds assessment, ceasing processing obligations, documentation requirements, and the relationship with erasure under Article 17(1)(c). Activate for right to object, Art. 21, objection to processing, legitimate interest queries.
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。
mukul975/Privacy-Data-Protection-Skills☆ 3032026年3月17日 更新
Guides GDPR certification mechanism implementation per Articles 42-43 including accredited certification body selection, certification criteria per EDPB guidelines, certification scope, periodic audit requirements, seal and mark usage rules, and relationship to codes of conduct. Covers EDPB/ENISA certification framework and national accreditation. Keywords: GDPR certification, Article 42, Article 43, certification body, EDPB, seal, mark, accreditation.
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。
mukul975/Privacy-Data-Protection-Skills☆ 3032026年3月17日 更新
Analyses the limitations on consent as a lawful basis for processing employee data under Art. 88 GDPR and WP29 Opinion 2/2017. Addresses power imbalance in employment relationships, identifies alternative lawful bases, and maps national derogations. Keywords: consent, employment, power imbalance, Art. 88, WP29, lawful basis, employee data, labour law.
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。
mukul975/Privacy-Data-Protection-Skills☆ 3032026年3月17日 更新
Governs employee health data processing for fitness-for-work assessments, occupational health surveillance, COVID testing legacy programmes, and absence management. Applies Art. 9(2)(b) employment obligations and Art. 9(2)(h) health professional exceptions. Covers data minimisation, occupational health provider relationships, and return-to-work procedures. Keywords: health data, Art. 9, occupational health, fitness-for-work, special category, employment, sickness absence.
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。
mukul975/Privacy-Data-Protection-Skills☆ 3032026年3月17日 更新
Implements CPRA Section 1798.135 opt-out preference signal handling, covering Global Privacy Control (GPC) technical detection, automated signal honoring, cross-device consistency, and the relationship between browser signals and explicit consumer choices. Activate for GPC, opt-out preference signal, CPRA 1798.135, browser privacy signal, Do Not Sell queries.
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。
mukul975/Privacy-Data-Protection-Skills☆ 3032026年3月17日 更新
Determines controller-processor relationships for AI services and conducts privacy due diligence. Covers SaaS AI (processor), embedded AI (joint controller), API-based AI (assessment framework), and vendor risk assessment. Keywords: AI vendor, controller-processor, due diligence, SaaS AI, joint controller, Art. 28.
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。
mukul975/Privacy-Data-Protection-Skills☆ 3032026年3月17日 更新
Create architecture diagrams from a local codebase or system description. Use when the user asks to diagram a repo, map system architecture, show component relationships, create drill-down views, or explain a system visually with tld.
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。
Mertcikla/tld☆ 2902026年10月13日 更新
Create original relaxed black-pen graphics from concepts or visual references, including sparse illustrations, narrative scenes, animals, objects, abstract relationships, icons, and logo marks. Use when the user wants quick hand-drawn line energy, causal story staging, non-equilibrium proportion, shorthand forms, open contours, structural line drift, misregistered junctions, selective retracing, physical pen texture, or a transferable illustration system that must not collapse into clean vector minimalism or polished period-sketch drawing.
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。
haorantang97/LabArt☆ 2872026年9月26日 更新
Create diagrams and visualizations using Mermaid syntax. Use when generating flowcharts, sequence diagrams, class diagrams, entity-relationship diagrams, Gantt charts, or any visual documentation. Triggers on Mermaid, flowchart, sequence diagram, class diagram, ER diagram, Gantt chart, diagram, visualization.
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。
nicepkg/ai-workflow☆ 2852026年1月20日 更新
Turn a work-items.md file (produced by /plan-work-items) into Linear issues, one per slice, in a single target Linear team. Use when you want to publish work items as Linear issues, create implementation tickets to track in Linear, or push a broken-down plan into a Linear team. Requires a configured Linear MCP server and a target team. Reads the team's real workflow states, labels, Projects, and members and resolves every option against them before creating anything; defaults each issue to the team's initial state, unassigned, uncategorized, with no parent or Project unless you ask. Links within-file `Depends on` relationships as native Linear "blocked by" relations and annotates the source file so re-runs resume cleanly. Does not produce the work-items file itself — use plan-work-items first. Does not post to Jira — use work-items-to-jira. Does not post to GitHub — use work-items-to-issues.
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。
testdouble/han☆ 2832026年10月1日 更新
Create well-structured GitHub issues following the Epic > Feature > Task/Bug hierarchy. Uses GitHub issue types (not labels) and relationships to connect related issues. Invoke with /github-issue.
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。
divinevideo/divine-mobile☆ 2662026年10月14日 更新
Generates automated test oracles to verify correct software behavior. Creates assertion-based oracles (expected values), property-based oracles (invariants), differential oracles (comparing implementations), and metamorphic oracles (input transformations). Use when you need to generate assertions for test cases, identify invariants that should always hold, compare new vs legacy implementations, create metamorphic test relationships, validate function correctness, or improve test coverage with better verification strategies. Supports Python (pytest, unittest, hypothesis) and Java (JUnit, property testing).
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。
ArabelaTso/Skills-4-SE☆ 2532026年8月21日 更新
Generate test cases using metamorphic testing by applying transformations based on metamorphic properties. Use when you need to expand test suites, test programs without oracles, validate mathematical or algorithmic properties, or detect subtle bugs through input-output relationships. The skill takes a program, original test cases, and metamorphic properties as input, generates new test cases by applying transformations, executes tests, verifies outputs satisfy properties, reports violations and anomalies, and outputs an expanded test suite with property coverage summary. Supports multiple programming languages and property types.
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。
ArabelaTso/Skills-4-SE☆ 2532026年8月21日 更新
Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations. Highlights key control flow paths, variable relationships, loop invariants, function summaries, and potential runtime states using abstract domains (intervals, signs, nullness, etc.). Use when analyzing program behavior, understanding execution paths, computing loop invariants, tracking variable ranges, detecting potential runtime errors, or generating program summaries without concrete execution.
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。
ArabelaTso/Skills-4-SE☆ 2532026年8月21日 更新
Select, build, and validate Blender deformation and motion-control systems including Simple Deform, Curve, Lattice, Mesh Deform, Shrinkwrap, Surface Deform, Armature, shape keys, hooks, constraints, and drivers. Use when an object must bend, twist, taper, follow a path, conform to a surface, deform smoothly, articulate, or move through controlled mechanical relationships.
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。
XliuXjianX/blender-production-skills☆ 2522026年8月15日 更新
Evaluate, compare, and manage vendor relationships. Trigger with "evaluate this vendor", "compare vendors", "vendor review", "should we renew", "RFP", or when the user is making procurement or vendor decisions.
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。
w95/awesome-claude-corporate-skills☆ 2462026年2月27日 更新
Answer quick architectural questions, debug mini-issues, explore the codebase, and help improve skills and workflows. Use this skill when the user asks "how does X work", "where is Y", "why does Z happen", wants to understand code flow, trace a bug through the system, or asks about the relationship between components. Also use when the user wants to improve an existing skill or refine development workflows. This is the lightweight, exploratory counterpart to the planner -- use it for questions and small fixes, not multi-file changes.
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。
homebridge-plugins/homebridge-eufy☆ 2252026年10月13日 更新
Map the big picture around a topic or software repository by identifying its boundaries, layers, actors, components, relationships, flows, history, fault lines, and open questions, then explain how the pieces fit together and where to look next. Use when a user asks to understand a whole field, domain, technology, ecosystem, industry, codebase, architecture, unfamiliar repo, or phrases such as "give me the big picture", "map the landscape", "how does this all fit together?", "help me get oriented", or "what am I missing?"
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。
tamdogood/builder-essential-skills☆ 2222026年8月17日 更新
Build structured knowledge graphs from unstructured text by extracting entities, mapping relationships, generating graph triples, and visualizing the result. Use when the user requests knowledge graph creation or provides relevant inputs for this workflow.
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。
seb1n/awesome-ai-agent-skills☆ 2112026年8月10日 更新
Design normalized database schemas with tables, relationships, indexes, and constraints for any application domain. Use when the user requests database schema design or provides relevant inputs for this workflow.
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。
seb1n/awesome-ai-agent-skills☆ 2112026年8月10日 更新
Perform systematic exploratory data analysis to understand dataset structure, distributions, relationships, and anomalies before modeling. Use when a dataset is new, its quality is unknown, or the user requests open-ended profiling; use data-analysis instead for a defined hypothesis or decision question.
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。
seb1n/awesome-ai-agent-skills☆ 2112026年8月10日 更新
Think and work like an expert Medicinal Chemist. Use when a task calls for Medicinal Chemist judgment. Reasons from structure-activity relationships, lipophilicity and unbound-fraction physicochemistry, synthetic accessibility, and target-product-profile multiparameter optimization through LLE/Fsp3/QED scoring, FEP+/Glide docking validated against co-crystal and SPR data, ELN-tracked LC-MS/NMR synthesis, and DMPK panels (microsomal CL, Caco-2 efflux, hERG, CYP) while treating PAINS and aggregation assay artifacts, biochemical-versus-cellular potency gaps, reactive-metabolite soft spots, and freedom-to-operate cliffs as first-class failure modes.
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。
K-Dense-AI/scientific-agents☆ 2052026年10月3日 更新
Track media coverage, press mentions, journalist activity, and industry narrative across news outlets, Twitter, and LinkedIn. Ideal for PR teams monitoring earned media, tracking campaign impact, and identifying journalist relationships.
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。
sandbaseai/sandbase-skills☆ 2042026年9月26日 更新