Skills
18,283 skills, most installed first.
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cyrus-setup-linearcyrusagentsCreate a Linear OAuth application and configure Cyrus to use it — supports agent-browser automation or guided manual setup.cyrus-setup-prerequisitescyrusagentsCheck and install prerequisites for Cyrus — Node.js, jq, gh CLI, and the cyrus-ai npm package.cyrus-setup-repositorycyrusagentsAdd one or more Git repositories to Cyrus configuration so it can process issues from those repos.cyrus-setup-slackcyrusagentsConfigure Slack integration for Cyrus — create a Slack app from manifest, then guide the user to save credentials.debugcyrusagentsFull debugging workflow — reproduce the bug with a focused check, perform root cause analysis, then implement a minimal fix.f1-test-drivecyrusagentsAssess F1 applicability, then validate changed product workflows or the F1 harness end-to-end. Skip drives and reports when no relevant workflow behavior changes.googlecyrusagentsSearch the web for information. Use when you need to look something up, find current information, or research a topic.implementationcyrusagentsImplement the requested changes. Write production-ready code, follow existing patterns, and use proportionate verification.investigatecyrusagentsResearch the codebase to answer questions. Search for relevant files, gather context, and provide clear answers.releasecyrusagentsPrepare, verify, publish, and finish a coordinated Cyrus CLI release. Use when a user asks to release Cyrus, publish cyrus-ai, run a CLI release, or perform the /release workflow.release-core-testcyrusagentsInvoke when dev-testing a Cyrus change that spans CYPACK (edgeworker + CLI) and CYHOST (Vercel-hosted GUI) and the hosted GUI needs to point at an unreleased `cyrus-core` from this repo. Publishes `cyrus-core` (and `claude-runner` if needed) as a `-test.N` prerelease under the npm `test` dist-tag so CYHOST can install it via `cyrus-core@test` without affecting the `latest` dist-tag or shipping a real release.summarizecyrusagentsFormat a final summary message for Linear. Your output is automatically streamed to the Linear agent session — just format it well, do not post it yourself.verify-and-shipcyrusagentsChoose proportionate validation, fix failures, update the changelog, commit, push, and create/update the pull request or merge request.token-optimizerd4koooOptimization suite for OpenClaw agents to prevent token leaks and context bloat. Use when an agent needs to implement background task isolation (Cron) or a Reset & Summarize workflow (RAG).ios-accessibilitydadederkExpert guidance on iOS accessibility best practices, patterns, and implementation. Use when developers mention: (1) iOS accessibility, VoiceOver, Dynamic Type, or assistive technologies, (2) accessibility labels, traits, hints, or values, (3) automated accessibility testing, auditing, or manual testing, (4) Switch Control, Voice Control, or Full Keyboard Access, (5) inclusive design or accessibility culture, (6) making apps work for users with disabilities.3d-visualizerdaffy0208Expert in Three.js, 3D graphics, and interactive 3D visualizationsdata-visualizerdaffy0208Expert in creating charts, dashboards, and data visualizations using modern librariesKnowledge Base Managerdaffy0208Design, build, and maintain comprehensive knowledge bases. Bridges document-based (RAG) and entity-based (graph) knowledge systems. Use when building knowledge-intensive applications, managing organizational knowledge, or creating intelligent information systems.Knowledge Graph Builderdaffy0208Design and build knowledge graphs. Use when modeling complex relationships, building semantic search, or creating knowledge bases. Covers schema design, entity relationships, and graph database selection.mobile-developerdaffy0208Expert in React Native, Expo, and cross-platform mobile developmentvideo-producerdaffy0208Expert in video playback, streaming, and video player customizationbundalestudyNode.js 대신 Bun 런타임 사용을 위한 스킬. 다음 상황에서 사용: (1) 새 JavaScript/TypeScript 프로젝트 생성 시, (2) package.json 또는 의존성 관련 작업 시, (3) 스크립트 실행 또는 개발 서버 시작 시, (4) Node.js 프로젝트를 Bun으로 전환 시, (5) 'bun', 'bunx', 'bun.lockb' 키워드가 포함된 작업 시github-actionsdalestudyGitHub Actions 워크플로우 생성, 보안 및 버전 관리 스킬. 다음 상황에서 사용: (1) 새 워크플로우 파일(.yml) 작성 시, (2) 기존 워크플로우 수정 시, (3) 액션 버전 검토 또는 업데이트 시, (4) CI/CD 보안 감사 시, (5) 'actions/', 'uses:', 'workflow', '.github/workflows' 키워드가 포함된 작업 시skill-creatordalestudyDaleStudy/skills 저장소의 스킬 생성, 수정, 검증 시 사용. 다음 상황에서 활성화: (1) 새 스킬 생성 요청 시, (2) skills/ 디렉토리 내 SKILL.md 파일 수정 시, (3) SKILL.md 변경 검토 또는 리뷰 시, (4) 스킬 frontmatter 또는 메타데이터 작업 시, (5) 'skill', 'SKILL.md', 'frontmatter', 'version', 'metadata', 'review', 'skills/' 키워드가 포함된 작업 시storybookdalestudyStorybook 스토리 작성 및 CSF 3.0 베스트 프랙티스 스킬. 다음 상황에서 사용: (1) 새 스토리 파일(.stories.tsx, .stories.ts) 작성 시, (2) 기존 스토리 수정 시, (3) Args, Decorators, Parameters 설정 시, (4) Storybook 설정 파일(.storybook/) 작업 시, (5) 'story', 'stories', 'storybook', 'CSF' 키워드가 포함된 작업 시nerd-fastdanangjoyooUse when explicitly invoked or when a concrete latency constraint requires minimizing wall-clock agent time without reducing accuracy.nerd-patroldanangjoyooUse when examining a confirmed code, pull request, module, application, endpoint, dependency, or configuration scope for vulnerabilities, unsafe behavior, or exploitability.nerd-reviewdanangjoyooUse when reviewing existing code, implementations, pull requests, or named scopes with stack-aware checks and severity-ranked findings, without edits.nerd-smartdanangjoyooUse when a request needs fast alignment on outcome, endpoint, or scope before handing work to exactly one endpoint route, including ambiguous or materially multi-goal requests.chapter-writingdanjdewhurstThis skill should be used when the user asks to "write a chapter", "next chapter", "chapter outline", "draft chapter", "continue the story", "write a scene", "outline a chapter", or wants to write prose for a story project.character-managementdanjdewhurstThis skill should be used when the user asks to "create a character", "update a character", "add a character", "build a family tree", "character relationships", "character timeline", "character arc", "character profile", "relationship graph", "name a character", or needs to manage characters in a story project. NOT for character voices or dialogue style (use voice-style), or for a thematic arc's lie, truth, and arc type (use theme-craft).plot-structuredanjdewhurstThis skill should be used when the user asks to "create a plot arc", "story structure", "add a plot point", "story timeline", "track foreshadowing", "pacing", "sagging middle", "act structure", "story arc", "plot outline", "snowflake method", or wants to plan and manage the narrative structure of a story. It owns book-level pacing; NOT for scene outcomes or writing a chapter hook (use scene-craft).revision-continuitydanjdewhurstThis skill should be used when the user asks to revise a chapter, continuity check, find inconsistencies, audit character state, check timeline consistency, developmental edit, structural revision, "revision passes", "what pass next", "pacing check" as a revision pass, "clue check", or prepare existing story material for the next revision pass. NOT for planning book structure (use plot-structure), scene-level craft (use scene-craft), or voice consistency (use voice-style).story-initdanjdewhurstThis skill should be used when the user asks to "start a new story", "initialize a story project", "create a story", "new book", "set up a story", or wants to begin a new fiction writing project from scratch.story-maintenancedanjdewhurstThis skill should be used when the user asks to validate, reindex, repair registries, check links, check continuity, count words, summarize a story project, import an existing manuscript, export a manuscript, build a review copy or print interior, generate a diagram, check pacing, clues, voices, or names, track revision passes, run the story CLI, or perform deterministic maintenance on a Story Skills markdown project.worldbuildingdanjdewhurstThis skill should be used when the user asks to "create a location", "add a location", "magic system", "political system", "build the world", "add culture", "world history", "technology system", "religion", "economy", "map", "travel times", "routes", "calendar", "moons", "seasons", "naming language", "conlang names", "trade routes", "supply lines", "magic cost", or wants to develop any aspect of a story's world and setting.otel-collectordash0hqExpert guidance for configuring and deploying the OpenTelemetry Collector. Use when setting up a Collector pipeline, configuring receivers, exporters, or processors, deploying a Collector to Kubernetes or Docker, or forwarding telemetry to Dash0. Triggers on requests involving collector, pipeline, OTLP receiver, exporter, or Dash0 collector setup.otel-instrumentationdash0hqConfigures trace spans, defines custom metrics, sets up log exporters, and optimizes sampling strategies for OpenTelemetry instrumentation. Use when instrumenting applications with traces, metrics, or logs. Triggers on requests for observability, telemetry, tracing, metrics collection, logging integration, or OTel setup.otel-ottldash0hqOpenTelemetry Transformation Language (OTTL) expert. Use when writing or debugging OTTL expressions for any OpenTelemetry Collector component that supports OTTL (processors, connectors, receivers, exporters). Triggers on tasks involving telemetry transformation, filtering, attribute manipulation, data redaction, sampling policies, routing, or Collector configuration. Covers syntax, contexts, functions, error handling, and performance.otel-semantic-conventionsdash0hqOpenTelemetry Semantic Conventions expert. Use when selecting, applying, or reviewing telemetry attributes. Triggers on tasks involving attribute selection, semantic convention compliance, attribute migration, or custom attribute decisions. Covers the attribute registry, naming patterns, attribute placement, and versioning. For span names, span kinds, and span status codes, see the otel-instrumentation skill.databricks-appsdatabricksBuild apps on Databricks Apps platform. Use when asked to create data apps, analytics tools, or custom interactive visualizations. A plain \"create a dashboard\" request means a managed AI/BI (Lakeview) dashboard → use databricks-aibi-dashboards, not this skill. Evaluates data access patterns (analytics vs Lakebase synced tables) before scaffolding. Invoke BEFORE starting implementation.databricks-dabsdatabricksCreate, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles). Use when working with Databricks resources via DABs including dashboards, jobs, pipelines, alerts, volumes, and apps.databricks-jobsdatabricksDevelop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines. Invoke BEFORE starting implementation.databricks-lakebasedatabricksDatabricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.databricks-model-servingdatabricksDatabricks Model Serving endpoint lifecycle and ops. Use when asked to: CRUD serving endpoints (CLI or MLflow Deployments client); configure traffic routing for A/B / canary deploys and zero-downtime version swaps; retrieve OpenAPI schemas; inspect logs, metrics, or permissions; manage AI Gateway rate limits; discover Foundation Model API endpoints at runtime; integrate endpoints into Databricks Apps; or stream from off-platform clients (Vercel AI SDK v6, standalone Node.js). NOT for: training, databricks-pipelinesdatabricksDevelop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.databricks-serverless-migrationdatabricksMigrate Databricks workloads from classic compute to serverless compute. Use when migrating notebooks, jobs, pipelines, or Scala JARs (`spark_jar_task`) from classic clusters to serverless, checking if existing code is serverless-compatible, or writing new serverless-compatible code. Provides concrete fixes for the serverless Spark Connect architecture and guides the full migration. Not for classic DBR version upgrades or cluster configuration changes within classic compute.agent-observability-eval-bootstrapdatadog-labsBootstrap evaluators from production traces — by default propose online LLM-judge evaluators and, after you confirm, create them in Datadog as disabled drafts (never auto-enabled); on request emit Python SDK code or a framework-agnostic JSON spec instead. Use when user says "bootstrap evaluators", "generate evaluators", "create evals from traces", "eval bootstrap", "write evaluators", "build eval suite", "publish evaluators", or wants to generate BaseEvaluator/LLMJudge code or online judge confiagent-observability-eval-pipelinedatadog-labsEnd-to-end Agent Observability pipeline for an instrumented ml_app — classify production traces, root-cause failures, bootstrap evaluators, then (optionally) sample + publish a dataset, generate + run an experiment, and analyze results. Six narrated phases with a standardized banner and a "continue" checkpoint between each. Pure orchestration over the agent-observability sub-skills (`agent-observability-session-classify`, `agent-observability-trace-rca`, `agent-observability-eval-bootstrap`, `agagent-observability-experiment-analyzerdatadog-labsAnalyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when user says "analyze experiment", "compare experiments", "analyze against baseline", or provides one or two experiment IDs for analysis.