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All Skills

Total 39,603 skills

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Showing 12 of 39603 skills

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Data Processinggoldsky-io/goldsky-agent

turbo-transforms

Write SQL, TypeScript, and dynamic table transforms for Goldsky Turbo pipelines. Use this skill for: decoding EVM event logs with _gs_log_decode (requires ABI) or transaction inputs with _gs_tx_decode, filtering and casting blockchain data in SQL, combining multiple decoded event types into one table with UNION ALL, writing TypeScript/WASM transforms using the invoke(data) function signature, setting up dynamic lookup tables to filter transfers by a wallet list you update at runtime (dynamic_table_check), chaining SQL and TypeScript steps together, or debugging null values in decoded fields. For full pipeline YAML structure, use /turbo-pipelines instead. For building an entire pipeline end-to-end, use /turbo-builder instead.

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3
Tools & Utilitiesmembranedev/application-s...

adp-workforce

ADP Workforce Now integration. Manage Persons, Organizations, Jobs, Payrolls, Benefitses, Talents. Use when the user wants to interact with ADP Workforce Now data.

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3
AI & Machine Learningagentera/agently-skills

agently-knowledge-base

Use when the user wants embeddings, vector indexing, retrieval, or retrieval-backed answers, including embedding-agent setup, Chroma-backed collections, collection add/query, and KB-to-answer flows.

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3
Frontend Developmentvercel-labs/json-render

xstate

XState Store adapter for json-render's StateStore interface. Use when integrating json-render with @xstate/store for state management via @json-render/xstate.

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3
AI & Machine Learningagentera/agently-skills

agently-langgraph-to-triggerflow

Use when a migration is already known to stay on the LangGraph orchestration side, including stages, routing, checkpoints, interrupts, persistence, streaming, and subgraph boundaries.

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3
AI & Machine Learningagentera/agently-skills

agently-model-response

Use when the user wants to reuse one model result, read text/data/meta without re-requesting, or stream partial updates, including `get_response()`, async getters, `delta`, `instant`, and `specific`.

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3
2 scripts/Checked
AI & Machine Learningagentera/agently-skills

agently-agent-extensions

Use when the user wants tool use, MCP access, HTTP or streaming API exposure, auto-function helpers, or wait-for-key behavior through Agently-native extension surfaces rather than custom wrappers first.

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3
DevOps & Cloud Serviceselastic/agent-skills

cloud-setup

Configures Elastic Cloud authentication and environment defaults. Use when setting up EC_API_KEY, configuring Cloud API access, or when another cloud skill requires credentials.

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3
Automationagentera/agently-skills

agently-triggerflow

Use when the user needs workflow orchestration such as branching, concurrency, approvals, waiting and resume, runtime stream, restart-safe execution, mixed sync/async function or module orchestration, event-driven fan-out, process-clarity refactors that make stages explicit, performance-oriented refactors that collapse split requests, or explicit draft-review-revise style multi-stage flows. The user does not need to say TriggerFlow explicitly.

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3
3 scripts/Checked
AI & Machine Learningagentera/agently-skills

agently-prompt-management

Use when the user is shaping how one model request or request family should be instructed or templated, including prompt slots, input/instruct/info layering, mappings, recursive placeholder injection, prompt config, YAML or config-file-driven prompt behavior, and reusable prompt structure.

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3
Marketing & Growthborghei/claude-skills

marketing-analyst

Expert marketing analytics covering campaign analysis, attribution modeling, marketing mix modeling, ROI measurement, and performance reporting. Use when analyzing campaign ROI, comparing attribution models, optimizing marketing budget allocation, building executive dashboards, or running A/B test statistical analysis.

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3
AI & Machine Learningmarkpitt/claude-skills

thought-patterns

Orchestrates comprehensive cognitive thinking patterns for complex problem-solving. Analyzes tasks to select optimal pattern(s) from foundational, reasoning, creative, metacognitive, specialized, and neurodivergent categories. Chains multiple patterns when needed and validates outputs before responding.

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3
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