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Discover AI Agent Skills
Find, share, and deploy reusable skills for your AI agents
npm i -g skhub
Design NoSQL database schemas for MongoDB and DynamoDB. Use when modeling document structures, designing collections, or planning NoSQL data architectures.
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Accelo integration. Manage Organizations, Leads, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Accelo data.
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Develop high-quality, accessible React components using shadcn-ui, Tailwind CSS, and Radix UI. Use when building forms, layouts, dialogs, tables, or any UI components. Supports Next.js, Vite, Remix, Astro, and more. Integrates with shadcn MCP server for component discovery and installation.
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Generate sample security events, attack scenarios, and synthetic alerts for Elastic Security. Use when demoing, populating dashboards, testing detection rules, or setting up a POC.
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Domain-neutral methodology for the third level of Adler-style reading - extracting structured components (terms, propositions, arguments, solutions) from a document section by section. Selects a reading strategy appropriate to document size and structure (section-based for documents under 50 pages with clear sections; windowing for long documents without breaks; targeted for hybrid content where only specific sections matter). Writes per-section extraction notes that downstream synthesis can consume. Reusable across any extraction workflow - skill creation from a methodology document, Pass-2 content grasp on a paper's full text, evidence-mining from a long-form report. Use when an agent has done structural analysis and now needs to extract the actual atomic content. Trigger keywords - component extraction, section-by-section extraction, extract terms, extract propositions, extract arguments, Adler Level 3, interpretive reading.
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Build and scale partner ecosystems that drive revenue and platform adoption. Use when building partner programs from scratch, tiering partnerships, managing co-marketing, making build-vs-partner decisions, or structuring crawl-walk-run partner deployment.
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基于流行 OKR 体系管理智能体目标(O)与关键结果(KR)。当用户提到目标管理、季度计划、OKR、关键结果、复盘、评分、经验沉淀时使用,并将信息维护到 memory/okr.md。
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This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.
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Execute AEM Edge Delivery Services admin operations - list admins, add/remove users, preview, publish, unpublish content, clear cache, sync code, reindex, generate sitemap, manage snapshots, view logs, manage jobs, list sites, configure org/site settings, manage secrets and API keys. Also supports Document Authoring (DA) operations via admin.da.live - list/get/put content, copy, move, delete, versioning, and DA-specific preview/publish. Use for any Edge Delivery Services administrative task.
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Create a minimal working Evernote example.
Use when starting a new Evernote integration, testing your setup,
or learning basic Evernote API patterns.
Trigger with phrases like "evernote hello world", "evernote example",
"evernote quick start", "simple evernote code", "create first note".
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Design, adapt, generate, or validate slide color systems and semantic palettes, including brand-color integration, usage roles, contrast evidence, and presentation-environment caveats.
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Optimizes SQL queries, designs database schemas, and troubleshoots performance issues. Use when a user asks why their query is slow, needs help writing complex joins or aggregations, mentions database performance issues, or wants to design or migrate a schema. Invoke for complex queries, window functions, CTEs, indexing strategies, query plan analysis, covering index creation, recursive queries, EXPLAIN/ANALYZE interpretation, before/after query benchmarking, or migrating queries between database dialects (PostgreSQL, MySQL, SQL Server, Oracle).
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Scaffold a new ComfyUI custom-node repo (TypeScript + bun build, CI, release-please, vitest+pytest) consuming @laurigates/comfy-modal-kit. Use when bootstrapping or init-ing a comfyui node pack.
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Write, fix, review, debug, and validate Flutter tests for apps, packages, and plugins. Use when adding unit tests, widget tests, integration tests, MethodChannel or plugin mocks, Mockito or mocktail test doubles, golden or accessibility checks, CI test commands, test failures, MissingPluginException, pump or pumpAndSettle problems, finder errors, build_runner mock generation, device integration testing, web integration testing, or flaky Flutter tests.
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Implement a shared Ramp request budget with rolling-window throttling, bounded retries, pagination, and 504 recovery. Use when clients receive 429 or 504 responses or share one outbound IP. Trigger with "Ramp rate limit" or "Ramp 429".
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De-slop pass for any text. Scans for the statistical fingerprints of AI writing (negative parallelism / "not X but Y", em-dash density, rule-of-three, false ranges, puffery vocabulary, uniform cadence, hedged both-sidesing), rewrites by meaning, then re-scans until the text is clean and sits in the right register for its genre: academic article, tweet, reddit post, email, blog, docs, marketing. Use when the user says "deslopify", "deslop", "de-slop this", "remove the AI tells", "humanize this", "make this not sound like AI", or invokes /deslopify. Also use before publishing any agent-drafted prose.
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Triage Elastic Security alerts — gather context, classify threats, create cases, and acknowledge. Use when triaging alerts, performing SOC analysis, or investigating detections.
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CI/CD for RAG quality: golden dataset fixtures, RAGAS/DeepEval in pytest,
regression thresholds, GitHub Actions workflows, merge-blocking gates,
weekly scheduled eval, LangSmith/Langfuse in CI.
USE WHEN: user mentions "RAG CI", "eval in CI", "regression gate", "golden
dataset fixture", "PR quality check", "scheduled RAG evaluation", "LangSmith
CI", "Langfuse CI"
DO NOT USE FOR: RAGAS metric internals - use `rag-evaluation`; ARES - use
`ares-framework`; Giskard internals - use `giskard-rag`; shadow deploys -
use `shadow-mode-deployment`
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