docs-sync
Syncs documentation with code changes by detecting mismatches and producing update reports. Triggers on: update docs, sync documentation, docs out of date, check docs.
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Syncs documentation with code changes by detecting mismatches and producing update reports. Triggers on: update docs, sync documentation, docs out of date, check docs.
Guides creation of Anthropic-compliant Claude skills. Triggers on: create skill, new skill, skill guidelines, skill best practices, write a skill.
Reviews code changes for correctness, security, and maintainability with actionable feedback. Triggers on: review this code, code review, check this PR, review my changes.
Hosts brainstorming sessions to create technical blueprints. Triggers on: architect this, system design, technical blueprint, design the system.
Generate Safe UI compatible multisig batch JSON to reset veNFT votes. Use when the user wants to reset votes, clear voted status, or prepare vote reset transactions for a multisig wallet.
Generate Safe UI compatible multisig batch JSON to claim voting rewards (internal LP fees and external bribes). Use when the user wants to claim bribes, collect voting rewards, or prepare claim transactions for...
Generate Safe UI compatible multisig batch JSON to set veNFT votes. Use when the user wants to vote on gauges, allocate voting power to pools, or prepare vote transactions for a multisig wallet.
Generate Safe UI compatible multisig batch JSON to create and distribute veLITH (veNFTs) to multiple recipients. Use when you need to lock LITHOS tokens and create veNFTs for a list of addresses.
智能合约漏洞检查清单,用于安全审计时的漏洞检测参考。
Foundry智能合约开发指导,包括编译/测试/部署/调试。
Pytest testing patterns for data pipelines, Airflow DAGs, and BigQuery queries. Use when writing unit tests for DAG tasks, integration tests with BigQuery, property-based tests with Hypothesis, data contract va...
Apache Airflow DAG development with TaskFlow API, Google Cloud operators (BigQuery, GCS), dbt integration, and dynamic DAG generation. Use when creating or modifying Airflow DAGs, implementing data pipeline orc...
BigQuery query optimization, feature engineering, and BigQuery ML models for recommendation systems. Use when writing optimized SQL queries, implementing partitioning/clustering, creating materialized views, en...
ML recommendation system development with collaborative filtering (Matrix Factorization), content-based filtering, and hybrid approaches. Use when building recommendation models, implementing Feast feature stor...
Jenkins CI/CD pipelines for data platforms with Kubernetes pod agents. Use when creating Jenkinsfiles, implementing parallel linting stages (Ruff, Black, Mypy), DAG validation with DagBag, security scanning (Ba...
GCP Composer 2 deployment and operations with Terraform configuration. Use when creating Composer environments, configuring worker/scheduler/triggerer resources, setting up Airflow connections and variables, im...
Workflow. Apply for task analysis and completion reporting.
Dependency management and technology selection. Apply when introducing new libraries, choosing technologies, or managing package versions.
Documentation standards. Apply when completing full feature development, introducing new architecture patterns, or adding new public APIs.
Testing strategy and standards. Apply when writing tests, designing test architecture, or evaluating test coverage.
Tooling and verification. Apply when encountering unfamiliar third-party libraries, framework updates, uncertain parameter types, verifying best practices, or uncertain API parameters.
Git workflow standards. Apply when committing changes, creating pull requests, or managing branches.
Architectural thinking and code review. Apply for architecture decisions, complexity judgment, code taste, over-engineering rejection, code review, analysis, evaluation, or optimization.
Coding and security standards. Apply when writing code, handling comments, error handling, API keys, database connections, user input, or file uploads.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.