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Skills IA Blockchain

Découvrez les skills Blockchain, comparez leurs dépôts et consultez leurs instructions.

Catégories: Blockchain

64,441–64,464 sur 87,085

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GitHub

auto-cover

TahaSabir0

Generates tailored, professional cover letters from job postings by analyzing the role category, extracting relevant experience from specialized resumes, and formatting according to industry best practices. Thi...

GitHub

pr

Mental-NV

Automates the branch creation, commit, and PR submission process

GitHub

backlog

Mental-NV

Automates the process of updating task and epic statuses in roadmap.md

GitHub

speckit-implement-epic

Obsidian-Owl

Implement ALL tasks in the current epic until completion (auto-loop, no confirmation). Use when batch processing tasks, automating implementation, or running unattended task completion.

GitHub

speckit-constitution

Obsidian-Owl

Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.

GitHub

cube-semantic-layer

Obsidian-Owl

ALWAYS USE when building semantic layer, working with metrics/dimensions, or integrating dbt with Cube consumption APIs. Use IMMEDIATELY when working with Cube REST API, GraphQL queries, or Postgres wire protoc...

GitHub

arch-review

Obsidian-Owl

Second-level architectural review validating alignment to target architecture (docs/)

GitHub

dbt-transformations

Obsidian-Owl

ALWAYS USE when working with dbt models, SQL transformations, tests, snapshots, or macros. Use IMMEDIATELY when editing dbt_project.yml, profiles.yml, or creating SQL models. MUST be loaded before any transform...

GitHub

pydantic-schemas

Obsidian-Owl

ALWAYS USE when working with Pydantic models, BaseModel, Field, validators, or data contracts. MUST be loaded before creating any Pydantic schemas, configuration classes, or API contracts. Provides v2 syntax va...

GitHub

speckit-analyze

Obsidian-Owl

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

GitHub

helm-k8s-deployment

Obsidian-Owl

ALWAYS USE when working with Helm charts, Kubernetes deployments, kubectl commands, pod debugging, or container logs. Provides context-efficient strategies for chart development, K8s troubleshooting, and log an...

GitHub

beads

Obsidian-Owl

Track complex, multi-session work with dependency graphs using beads issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles. For...

GitHub

duckdb-lakehouse

Obsidian-Owl

ALWAYS USE when building data lakehouse with DuckDB compute, configuring dbt-duckdb with Polaris plugin, or designing catalog-first architecture in floe-platform. Use IMMEDIATELY when reading/writing Iceberg ta...

GitHub

testing

Obsidian-Owl

ALWAYS USE when writing tests, test fixtures, test utilities, or debugging test failures. MUST be loaded before creating pytest tests, integration tests, or test infrastructure. Provides test quality patterns,...

GitHub

pyiceberg-storage

Obsidian-Owl

ALWAYS USE when working with Iceberg table storage, ACID transactions, or time-travel queries. Use IMMEDIATELY when creating/loading Iceberg tables, implementing schema evolution, querying historical snapshots,...

GitHub

speckit-implement

Obsidian-Owl

Implement the next ready task from Linear issue tracker with SpecKit integration. Use when implementing tasks, working on Linear issues, or continuing feature development.

GitHub

dagster-orchestration

Obsidian-Owl

ALWAYS USE when working with Dagster assets, resources, IO managers, schedules, sensors, or dbt integration. CRITICAL for: @asset decorators, @dbt_assets, DbtCliResource, ConfigurableResource, IO managers, part...

GitHub

speckit-clarify

Obsidian-Owl

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

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.

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