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SkillsMP a collecté 17 125 skills depuis tomevault-io/skills-registry. Ouvrez un skill pour examiner sa source et ses détails.
tomevault-io/skills-registryAffichage de 40 skills collectés sur 17 125.
Coordinate comprehensive literature reviews on any research topic in philosophy. Manages 6-phase workflow including domain decomposition, literature search, and synthesis. Use proactively when user requests a literature review. Use when this capability is…
Langue du texte source : anglais
Search philosophy literature across SEP, IEP, PhilPapers, Semantic Scholar, OpenAlex, CORE, arXiv, and NDPR. Supports paper discovery, citation traversal, content enrichment, and recommendations. Verifies citations via CrossRef. Use when this capability is…
Langue du texte source : anglais
DREAM decomposition protocol — 8-slot magnitude routing, plan types (SP/PP), _overview.md frontmatter schema, sibling firewall, MANAGER/WORKER lifecycle, and context isolation. Covers magnitude assessment, plan/task hierarchy, directory-based decomposition,…
Langue du texte source : anglais
Orchestrator discussion preset — structured multi-agent discussion protocol for collaborative problem solving. Coordinates N-way discussions between specialist agents through Propose, Challenge, and Synthesize phases to reach consensus. Use this skill when…
Langue du texte source : anglais
Orchestrator expedition preset — coordinating the 8-phase expedition pipeline for exporting ADHD agents to external projects. Manages L1 Bundle architecture with 3 mandatory stop points, agent delegation (HyperExped, HyperSan, HyperDream, HyperSmith,…
Langue du texte source : anglais
Orchestrator implementation preset — coordinating implementation tasks across specialist agents with mandatory quality gates. Manages the full lifecycle: PRE-CHECK (HyperSan) → IMPLEMENT (HyperArch) → POST-CHECK (HyperSan) → DOC-UPDATE (HyperDream). Includes…
Langue du texte source : anglais
Orchestrator routing preset — routing user requests to the correct specialist agent based on task analysis. Supports single-agent, multi-phase, and parallel routing patterns. Maps user intent to the appropriate Hyper agent using keyword matching, context…
Langue du texte source : anglais
Orchestrator testing preset — coordinating comprehensive testing workflows across specialist agents. Manages the full test lifecycle: PLAN (HyperSan) → SPEC-TEST (HyperArch) → ATTACK (HyperRed) → FINAL (HyperSan). Includes adversarial testing, fix cycles, and…
Langue du texte source : anglais
Analyze entire codebases using Gemini CLI's 1M token context. Generates architecture reports covering structure, security, performance, and improvement roadmaps. Use when auditing code quality or running /analyze. Use when this capability is needed.
Langue du texte source : japonais
Save and restore session state for continuity across Claude Code sessions. Captures tasks, changed files, context, and decisions. Use when ending a session, preserving progress, or running /checkpointing. Use when this capability is needed.
Langue du texte source : japonais
Generate distinctive, production-grade frontend UI code that avoids generic AI aesthetics. Follows opinionated design principles for unique visual identity. Use when building web UIs, components, or running /frontend-design. Use when this capability is needed.
Langue du texte source : japonais
Generate native-quality iOS/macOS mockup PNGs using SwiftUI Preview rendering. Use when designing Apple platform UIs, creating native app mockups, or running /mockup-swift. Use when this capability is needed.
Langue du texte source : japonais
Run the full design-to-deploy pipeline using 3 AIs (Claude + Codex + Gemini). Use when starting a new feature, running /project, or needing end-to-end development with requirements, specs, implementation, testing, review, and deployment phases. Use when this…
Langue du texte source : japonais
Generate a requirements document with user stories, acceptance criteria, and constraints. Use when defining features, writing specs, or running /requirements before implementation. Use when this capability is needed.
Langue du texte source : Plusieurs langues
Conduct technical research using Gemini CLI, producing comparison reports with recommendations and code examples. Use when evaluating technologies, comparing libraries, or running /research. Use when this capability is needed.
Langue du texte source : Plusieurs langues
Run code review against design documents, checking acceptance criteria, security, performance, and test coverage. Use when reviewing implementation quality or running /review. Use when this capability is needed.
Langue du texte source : japonais
Generate UI screen design documents with component lists, state transitions, interactions, and responsive breakpoints. Use when designing screens, creating wireframes, or running /spec. Use when this capability is needed.
Langue du texte source : anglais
Generate E2E and unit test code from requirements using Playwright, delegated to Codex. Use when writing tests, checking acceptance criteria coverage, or running /test. Use when this capability is needed.
Langue du texte source : Plusieurs langues
Architecture Decision Records (ADRs) for documenting significant technical decisions. Use for capturing decision context, rationale, consequences, and maintaining decision history. Use when this capability is needed.
Langue du texte source : anglais
MVP definition, MoSCoW prioritization, and phased delivery planning. Use for scoping minimum viable products, ordering features by value and dependency, or creating implementation roadmaps. Use when this capability is needed.
Langue du texte source : anglais
Modern Python 3.10+ development standards including type hints, async patterns, pathlib, dataclasses, and recommended tooling (uv, Ruff, pytest). Use for Python code review, new feature implementation, refactoring legacy code, or making architecture decisions…
Langue du texte source : anglais
Security and privacy compliance patterns for B2B SaaS (SOC 2, GDPR). Use for audit preparation, control design, compliance gap analysis, or building compliance into features. Use when this capability is needed.
Langue du texte source : anglais
Development standards for Python projects including code style, git conventions, testing patterns, timing measurement, and validation requirements. Use when writing code, reviewing PRs, or making commits. Loaded by all implementation agents. Use when this…
Langue du texte source : anglais
Modern Terraform patterns for module design, state management, and CI/CD integration. Use for structuring Terraform projects, managing remote state, implementing environment separation, or enforcing code quality. Use when this capability is needed.
Langue du texte source : anglais
Angular 21+ testing patterns with Vitest, signal component testing, and Playwright E2E. Use for writing unit tests, integration tests, or E2E tests for Angular applications. Use when this capability is needed.
Langue du texte source : anglais
Python unit test standards including naming conventions (test__<what>__<expected>), behavioral testing patterns, coverage requirements (80% minimum), and tautological test detection. Use when reviewing tests, writing tests, or enforcing test quality. Trigger…
Langue du texte source : anglais
Creating and using OpenBench framework adapters for LangChain, CrewAI, AG2, E2B, and Google ADK. Use when wrapping external AI frameworks, creating new adapters, or integrating third-party agents into workflows. Use when this capability is needed.
Langue du texte source : anglais
Working with OpenBench chat layer - ChatEngine, A2UI v0.10 builder, content renderers, SSE + REST transport, and ChatLayer L2 orchestrator. Use when building chat interfaces, streaming A2UI JSONL, rendering rich content (charts, forms, files), or composing…
Langue du texte source : anglais
Building and extending the @openbench/chat-ui TypeScript/React SDK. Use when creating chat components, A2UI v0.10 renderers, custom components, hooks, SSE + REST transport, or styling the chat interface. Use when this capability is needed.
Langue du texte source : anglais
Creating and composing OpenBench workflows with L1/L2 patterns, DAG structures, and chainable operators. Use when building workflows with | or & operators, creating DAG patterns, or working with DataLayer/IntelligenceLayer/OutputLayer composition. Use when…
Langue du texte source : anglais
Implementing DataSource, Agent, OutputGenerator and other OpenBench abstractions. Use when creating new data sources, agents, output generators, data stores, or framework adapters. Use when this capability is needed.
Langue du texte source : anglais
Working with OpenBench data layer - vector stores, chunking, embeddings, and RAG patterns. Use when implementing PineconeStore, chunking documents, generating embeddings, or building RAG workflows. Use when this capability is needed.
Langue du texte source : anglais
Working with OpenBench intelligence layer - BaseAgent, LLM providers, tool execution, memory, and RAG patterns. Use when creating agents, configuring LLM providers, adding tools, or building RAG-augmented agents. Use when this capability is needed.
Langue du texte source : anglais
Working with OpenBench output generators for PDF, PowerPoint, Dashboard, Audio, and Markdown. Use when creating output generators, generating reports, or working with the OutputLayer. Use when this capability is needed.
Langue du texte source : anglais
Writing tests for OpenBench components, workflows, and integrations. Use when writing unit tests, running test suite, creating test fixtures, or mocking components. Use when this capability is needed.
Langue du texte source : anglais
Rules and guidelines for implementing Action Connectors in OM Cortex Runtime Use when this capability is needed.
Langue du texte source : anglais
Rules and guidelines for implementing Providers in OM Cortex Runtime Use when this capability is needed.
Langue du texte source : anglais
Rules and guidelines for writing pytest tests for Providers in OM Cortex Runtime Use when this capability is needed.
Langue du texte source : anglais
Rules and guidelines for implementing Sensors (Inputs) in OM Cortex Runtime Use when this capability is needed.
Langue du texte source : anglais
Database, API, and integration conventions for Red Cliff Record. Use when working with Drizzle ORM, tRPC routers, database migrations, integration syncs, or media alt-text workflows in this project. Triggers on database queries, API routes, Drizzle v2, tRPC,…
Langue du texte source : anglais