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Found 6,097 Skills
Provides guidelines for developing projected Android XR apps for display glasses using the Jetpack Compose Glimmer UI toolkit. This skill covers foundational Glimmer design principles, workflows for implementing Jetpack Compose Glimmer, and interaction models for the glasses form factor. Use this skill to build an Android XR Augmented Experience app with Jetpack Compose Glimmer that adheres to the Glimmer design system for optimized glasses styling.
Control audio generation requests before execution. Use this when the user asks for TTS, persona voice, voice change, translated dub, cloned voice take, podcast audio, or lip-sync audio handoff and the skill must classify the request before handing execution to voice-batch-runner or a video workflow.
Runs the DEFT embed-then-mine workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds a source pool, and mines nearest-neighbour source images for downstream augmentation. Use as the immediate next step after `tao-route-visual-changenet-samples` when expanding a real-image augmentation queue from the mining subset.
Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, and generating new YARA-L 2.0 rules to close coverage gaps. Don't use when asked to perform threat hunting actions, and SOC investigative actions.
Set up and maintain an auditable JSON status file for a single research project, recording research phases, materials, judgments, unknowns, handovers, and change logs. Use when the user asks for "establish research archives", "save the material status of this research project", "hand over literature, judgments, and next steps to another research Skill", "check research status files", or requests the rw-research-passport workflow.
Guides the end-to-end AWS resilience lifecycle integrating Resilience Hub v2, Fault Injection Service, and Application Recovery Controller. Covers the Define → Test → Operate workflow: from policy creation through failure mode assessment, to FIS experiment validation, to ARC operational controls. Applicable when the user wants a complete resilience strategy, needs to connect findings to experiments to controls, or is planning a resilience program. Also applicable for the meta question of whether marking NGRH findings as resolved is enough, whether they are "done" after resolving findings, or how to validate findings before resolving them. Not applicable for resolving or remediating a specific individual finding (see resilience-hub-failure-mode-assessment), or when a single service is explicitly named (e.g. "what FIS experiment should I run").
Answer questions against existing memory (the wiki substrate). Use this whenever the user is asking what is happening in the project, directory, codebase, architecture, workflow, decisions, or current state and the wiki likely contains the answer, even if they do not explicitly mention the wiki. Also use it for summaries, comparisons, and reusable analyses grounded in current wiki pages. Routes authoritative goal-state questions to /loam::setting-goals. Not for surfacing unresolved gaps; use /loam::reviewing-memory for that.
Guidance on how to use Claude Code effectively — covering context management, verification strategies, the explore-plan-implement workflow, prompting techniques, session management, parallel sessions, and common failure patterns. Use this skill whenever the user asks how to get the most out of Claude Code, how to write better prompts, how to manage context, when to use plan mode, how to automate tasks, or when they describe a frustrating pattern like Claude repeating mistakes or losing track of instructions.
Guided test-driven development workflow for .NET 10 using xUnit v3, WebApplicationFactory, Testcontainers, and Verify snapshots. Follows the strict red-green-refactor cycle. Use when: "TDD", "test-driven", "let's TDD this", "red green refactor", "write the test first", or when building a feature with clear acceptance criteria.
Upgrade Three.js games from basic/prototype visuals to premium AAA-inspired browser graphics. Combines art-direction critique, procedural model building, technical art, mandatory external asset sourcing decisions, threejs-3d-generator assets, threejs-image-generator concept/texture workflows, scene visual polish, material/texture libraries, world prop kits, shaders, VFX readability, render budgets, LOD/instancing, render pipeline, and visual scorecard gates. For premium games with characters, vehicles, ships, weapons, buildings, signature props, skies, textures, decals, logos, icons, or GUI art, load the relevant generator skills before deciding procedural assets are enough.
Analyze medication adherence and management platforms including dose tracking accuracy (MPR, PDC metrics), drug-drug and drug-food interaction checking completeness, refill prediction algorithms, dosage schedule optimization with conflict detection, caregiver notification escalation workflows, pharmacy system integration (NCPDP, HL7 FHIR), adverse event signal detection, smart dispenser integration, and alert fatigue mitigation for patient safety systems.
Use when building durable AI agents or agentic workflows with Inngest and AgentKit, including model calls, tool calls, multi-agent networks, human approval, realtime progress, provider rate limits, crash-safe execution, and Agent Evals handoff. Covers AgentKit, `step.ai`, `step.run`, `step.waitForEvent`, native realtime, and when to use lower-level Inngest primitives instead of an in-memory agent loop. Use `inngest-agent-evals` with this skill when the user wants scoring, sessions, experiments, deferred scorers, or outcome-based evaluation for the agent.